🕷️ Crawler Inspector

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Direct Parameter Lookup

Raw Queries and Responses

1. Shard Calculation

Query:

Response:

Calculated Shard: 110 (from laksa106)

2. Crawled Status Check

Query:

curl -X POST \
  'http://laksa110.int.ahrefs:8124/' \
  -H 'Content-Type: text/plain' \
  -H 'X-ClickHouse-Database: crawler3' \
  -H 'Authorization: Basic YXBpOg==' \
  -d 'SELECT getAhrefsURLFromUnparsed(src_unparsed) AS found_url, ifNull(toUnixTimestamp(download_stamp), 0) AS crawl_time, ifNull(toUnixTimestamp(props_url_first_seen), 0) AS first_indexed_time, download_http_code AS http_code, src_unparsed AS src_unparsed, src_root_hash AS src_root_hash, history_drop_reason AS history_drop_reason, meta_title AS meta_title, meta_descriptions AS meta_descriptions, attrs_boilerpipe_text AS attrs_boilerpipe_text, attrs_markdown AS attrs_markdown, attrs_readable_markdown AS attrs_readable_markdown, meta_canonical AS meta_canonical FROM crawler3.page_info_local FINAL PREWHERE (src_root_hash, src_unparsed) IN ((getAhrefsRootHashFromUnparsed(getAhrefsUnparsedNoserviceFromURL(\'https://www.online.msstate.edu/mscse\')), getAhrefsUnparsedNoserviceFromURL(\'https://www.online.msstate.edu/mscse\'))) FORMAT JSONEachRow'

Response:

{"found_url":"https:\/\/www.online.msstate.edu\/mscse","crawl_time":1774750164,"first_indexed_time":1647061618,"http_code":200,"src_unparsed":"edu,msstate!online,www,\/mscse s443","src_root_hash":"9370292048737464710","history_drop_reason":null,"meta_title":"Master of Science in Computer Science | Mississippi State Online","meta_descriptions":["Get Started on Your Graduate Degree Online Today! A Master’s degree in Computer Science is an ideal choice for a student who enjoys math and problem-solving."],"attrs_boilerpipe_text":"Get Started on Your Graduate Degree Online Today!\nA Master’s degree in Computer Science is an ideal choice for a student who enjoys math and problem-solving.\nMS Major: Computer Science (Thesis & Non-Thesis) Concentration: General, Artificial Intelligence & Robotics, Computational Science, Cybersecurity, Data Science & Analytics, Human & Visual Computing, Software Engineering, Systems.\nThe program of study of a Master of Science in Computer Science degree includes advanced courses in computer science that are selected according to the goals of the student. The program of study of a Doctor of Philosophy (Ph.D.) in Computer Science degree includes advanced courses in computer science and significant scholarly research in computer science, presented in a dissertation. Both degrees may choose between a General program or a more focused research area.\nTuition & Fees\nTuition per credit hour\n$581.00\nInstructional Support Fee per credit hour\n$25.00\nTuition and fees listed are subject to change and do not include all possible charges. Additional fees may apply. Please refer to the\nmaster class schedule\nfor individual course charges.\nResearch Areas\nThe department’s core research areas include the following:\nArtificial intelligence & robotics\nComputational science \nCybersecurity\nData science & analytics \nHuman & visual computing\nSoftware engineering\nSystems\nFaculty, research assistants, thesis students, and dissertation students participate in a wide variety of research projects. Many research projects are multidisciplinary or multi-specialty in nature. MS applicants are required to have a 3.0 GPA in overall undergraduate work; international students require a suitable demonstration of English proficiency. Candidates for the master’s degree must have completed all prerequisite courses or their equivalent with a B or better. For additional details, consult the CS Department’s Graduate Handbook.\nProgram highlights:\nWe are a highly interactive, highly ranked, research intensive department that cares deeply about its students and their future.\nStudents are provided extensive opportunities to make connections between research and practice and to experience interactive teaching and learning.\nOur faculty are experts in their fields of study and many are nationally known for their contributions within the scientific community.\nThis program is offered completely online and does not require students to come to campus in order to complete this program.\nA Note From the Department Head\n\"Based on government statistics, 63% of all STEM jobs in the United States are computer science related jobs, and there are four jobs available for every graduate in computer science. These are stoning numbers that highlight the importance of computer science discipline in the US and world and its defining effect on economic growth.\"\n\"Considering the sharply increasing demand in computer science, since 2010, computer science and engineering department has made it possible to combine Mississippi State top-tier reputation with the flexibility of online study through our online MS in Computer Science. Our rigorous curriculum for this online degree is based on CSE’s on-campus degree, ensuring the elite quality of this program.\"\n\"You will be able to take classes in a flexible format that gives you the ability to pursue your educational goals in the manner most consistent with your career goals. The Master’s degree you receive at the end of your studies will be indistinguishable from its on-campus counterpart.\"\n–Dr. Shahram Rahimi, Department Head and Professor\nProgram Structure\nThe Computer Science MS is a 31-credit hour program. This program offers two concentrations for students to choose from: General or Research. For more information pertaining to program requirements, please review the\nGraduate Handbook\n.\nFor the General Concentration MS program, the program of study requires 31 graduate credit hours:\n4 hours (1 course + seminar) in the CS Core (Seminar & Theory)\n9 hours (3 courses) in the Breadth Requirement\n(Optional) 3 hours of Directed Project (CSE 8080)\n15–18 free hours (5–6 courses)\nFor more information about the CS Core and Breadth Requirements for this program of study, please visit the\nGeneral Concentration program page\n.\nFor the Research Concentration MS program, the program of study requires 31 graduate credit hours:\n4 hours (1 course + seminar) in the CS Core (Seminar & Theory)\n9 hours (3 courses) in the Breadth Requirement\n(Optional) 3 hours of Directed Project (CSE 8080)\n15–18 free hours (5–6 courses)\nFor more information about the CS Core and Breadth Requirements for this program of study, please visit the\nResearch Concentration program page\n.\nCurriculum\nCore\nCSE 8011 Seminar – 1 credit hour\nTheory – 3 credit hours\nCSE 8833: Algorithms or\nCSE 8813: Theory of Computation or\nCSE 8843: Complexity of Sequential and Parallel Algorithms\nCapstone:\nNon-Thesis Students:\n6 hours of coursework, may include CSE 8080 (Directed Project)\nThesis Students:\nCSE 9000 (Research in Computer Science & Engineering)\nCoursework outside CSE may count only at a student’s committee’s discretion. The majority of hours must come from CSE.\nStudents must take an appropriate number of 8000 level graded course hours as outlined in the Graduate Catalog and CSE Graduate Handbook.\nConcentration: General\nBreadth Requirement:\n9 hours from 3 different concentration areas of computer science approved by advisor.\nAdditional Hours:\n12 hours of graduate coursework (excluding CSE 8080 or CSE 9000).\nConcentration: Artificial Intelligence & Robotics\nDepth Requirement:\n9 hours in AI & robotics and related approved courses.\nBreadth Requirement:\n6 hours from 2 other concentration areas approved by advisor.\nAdditional Hours:\n6 hours graduate coursework (excluding CSE 8080 or CSE 9000).\nConcentration: Computational Science\nDepth Requirement:\n9 hours in computational science and approved courses.\nBreadth Requirement:\n6 hours from 2 other concentration areas approved by advisor.\nAdditional Hours:\n6 hours graduate coursework (excluding CSE 8080 or CSE 9000).\nConcentration: Cybersecurity\nDepth Requirement:\n9 hours in cybersecurity and approved courses.\nBreadth Requirement:\n6 hours from 2 other concentration areas approved by advisor.\nAdditional Hours:\n6 hours graduate coursework (excluding CSE 8080 or CSE 9000).\nConcentration: Data Science & Analytics\nDepth Requirement:\n9 hours in data science & analytics and approved courses.\nBreadth Requirement:\n6 hours from 2 other concentration areas approved by advisor.\nAdditional Hours:\n6 hours graduate coursework (excluding CSE 8080 or CSE 9000).\nConcentration: Human & Visual Computing\nDepth Requirement:\n9 hours in human & visual computing and approved courses.\nBreadth Requirement:\n6 hours from 2 other concentration areas approved by advisor.\nAdditional Hours:\n6 hours graduate coursework (excluding CSE 8080 or CSE 9000).\nConcentration: Software Engineering\nDepth Requirement:\n9 hours in software engineering and approved courses.\nBreadth Requirement:\n6 hours from 2 other concentration areas approved by advisor.\nAdditional Hours:\n6 hours graduate coursework (excluding CSE 8080 or CSE 9000).\nConcentration: Systems\nDepth Requirement:\n9 hours in systems and approved courses.\nBreadth Requirement:\n6 hours from 2 other concentration areas approved by advisor.\nAdditional Hours:\n6 hours graduate coursework (excluding CSE 8080 or CSE 9000).\nTotal Hours Required\nMinimum total:\n31 credit hours\nStudents are required to complete:\nNon-Thesis:\n12 hours of 8000-level graded courses (including Directed Project if applicable)\nThesis:\n9 hours of 8000-level graded courses\nThese do not include CSE 8011 (Seminar) or CSE 9000 (Research).\nResearch Opportunities\nComputer Science and Engineering (CSE) is a research-intensive department with faculty who are world class researchers. CSE’s research expenditure in 2018 was about $10M, which is one of the highest in the nation. We encourage both on-campus and online students to participate in our many research opportunities.\nArtificial Intelligence\nMachine Learning and Soft Computing\nComputer Systems including Security and Networks\nComputational Sciences including High Performance Computing and Bioinformatics\nGraphics and Visualization including Visual Data Science and Augmented Reality\nHuman Centered Computing including Robotics\nSoftware Engineering\nAdmissions Requirements\nStudents seeking full admission into this program should apply as a classified student. Non-degree seeking students wishing to take classes offered through the Online program should apply as an Unclassified student.\nApplications for the degree programs are reviewed two times a year. The application deadlines for those semesters are as follows:\nSpring Enrollments need applications by\nNovember 1\nFall Enrollments need applications by\nJune 1\nAn applicant for admission to graduate study must hold a bachelor's degree from a fully recognized four-year educational institution that has unconditional accreditation with appropriate regional accrediting agencies. They must meet the admission requirements of the Graduate School and the Computer Science program.\nA student who wishes to study graduate Computer Science must have the ability to develop and analyze software for their study. Understanding the interface between computer hardware and software is required as is some mathematical fluency:\nTwo semesters programming with some Object-Oriented Programming (OOP)\nData Structures\nOperating Systems Fundamentals\nBasic Computing Theory\nMathematics for Computer Science\nRegular admission to graduate study in the program requires a minimum grade point average (last four semesters of undergraduate work) of 3.00\/4.00. When a student is deficient in one of the criteria cited, the student's application, nevertheless, may be considered for admission based on the strength of other materials contained in the student's application.\nThe Graduate Record Examination (GRE) or Graduate Management Admission Test (GMAT) scores are NOT required for entry into this program.\nBagley College of Engineering programs may accept transfer work previously completed by the student. Transcript reviews to determine transfer or prerequisite work will be evaluated AFTER students are granted full admission. Once admitted an academic coordinator can review those transcripts for more information.\nTo meet admission requirements, submit a separate official final transcript from each college or university attended; faxed transcripts will not be accepted. An applicant may not ignore previous college attendance and must list all colleges attended on the application for admission. You must be in good standing at the last college or university attended\nAdmission Options\nDomestic\/International Classified Admissions\nDomestic Unclassified Admissions\nInternational Unclassified Admissions\nProvisional Admissions\nReadmission\nTransfer Credit\nDomestic\/International Classified Admissions\nSubmit online\napplication\n. You will choose Master of Science in Computer Science as your Program of Study and Online Education as your campus.\nStatement of Purpose\nThree letters of recommendation\nYou will be asked to submit three names and three email addresses of individuals you are using as references. Once you click submit, these individuals will be sent an email from MSU, which will provide a link to an online form for completing their recommendations.\nOne official transcript showing bachelor’s degree or progress toward degree.\n(For international students, please submit a copy in native language along with translated copies, if appropriate.)\nOne official transcript showing\nALL\nwork after bachelor’s degree.\n(For international students, please submit a copy in native language along with translated copies, if appropriate.)\nElectronic transcripts should be sent to:\ngradapps@grad.msstate.edu\nMississippi State University, Graduate School. Only one copy of an electronic transcript is required.\nPaper transcripts should be mailed to: \nMississippi State University\nThe Office of the Graduate School\nP.O. Box G\nMississippi State, MS 39762\nPhysical Street Address (for DHL, Fed Ex, UPS, DHS, etc.):\nMississippi State University\nOffice of the Graduate School\n255 Lee Blvd\nMississippi State, MS 39762\nPayment of $60 non-refundable application processing fee for domestic students.\nPayment of $80 non-refundable application processing fee for international students.\nOnce you are admitted, you will receive an email with complete instructions on registering for classes and contacting your advisor\nAttention International Students\nApplicants whose native language is not English must submit the results of either the TOEFL or IELTS exam. Prospective students should contact ETS (TOEFL) or IELTS for testing information. The Graduate School maintains a\nlist of countries\nexempt from English language requirements. Please consult the\nGraduate Catalog\nfor specific English Language test score requirements.\nEnglish Language Test Score Requirements\nTOEFL Essentials\nTOEFL iBT\nIELTS\nAdmission Eligibility\nOutcome\n9 and above\n79 and above\n6.5 and above\nEligible for admission for any term and a graduate assistantship\nConsidered proficient in English. Applicant is not required to enroll in an ESL course unless his\/her academic program requires a higher test score.\n8.0-8.5\n69-78\n6.0-6.4\nEligible for admission for Fall, Spring, or Summer and a graduate assistantship.\nScores indicate a need for assistance in English writing, research, and editing skills. Applicant must enroll in EAP 5323 Academic Research and Writing. Student may enroll in up to 6 credit hours in his\/her graduate program.\n7.0-7.5\n61-68\n5.5-5.9\nEligible for admission for the Fall & Spring terms only. Not eligible for a graduate assistantship until ESL requirements are met.\nApplicant is required to enroll in ESL 5120, a 9-hour intensive English course (graded on a Satisfactory\/Unsatisfactory basis). The student must complete this course prior to registering for courses in his\/her graduate program. The student must then enroll in EAP 5323.\n6.0-6.5\n54-60\n4.6-5.4\nEligible for admission for the Fall term only. Not eligible for a graduate assistantship until ESL requirements are met.\nApplicant is required to enroll in ESL 5110, an intensive English course (graded on a Satisfactory\/Unsatisfactory basis). The student cannot enroll in courses in his\/her program until ESL 5110 and ESL 5120 have been successfully completed. The student must then complete ESL 5120 before proceeding to enroll in EAP 5323.\n5.5 and below\n53 and below\n4.5 and below\nNot eligible for admission to the Graduate School.\nApplicant can enroll in the English Language Institute on a non-credit basis after which he\/she can retake the English-language test in preparation for submitting another application to graduate study at MSU.\nAccessing Online Courses\nAccessing Course Videos\nVideos recorded during our on campus class sessions are uploaded for online students to view within our online course repository.  Online students will have access to course videos within 24 hours of the on campus course completion. Students should visit\nEngage\nto access the course videos. Instructions for viewing the recordings and downloading the recordings are offered below.\nView and Download Videos\nInstructions for viewing classes live or downloading videos,\nuse our video download instructions.\nIf you experience technical difficulties or have any questions regarding the recording or format of our lecture capture, please contact:\nIT Support & Staff\nBagley College of Engineering\nMississippi State University\ndist-support@engr.msstate.edu\n662.325.7794\nContact Information","attrs_markdown":"![Facebook Pixel for Advertising Data](https:\/\/www.facebook.com\/tr?id=291894411704562&ev=PageView&noscript=1)\n\n![]()\n\n[Skip to main content](https:\/\/www.online.msstate.edu\/mscse#page) [Skip to main menu](https:\/\/www.online.msstate.edu\/mscse#main-menu)\n\n[Search](https:\/\/www.online.msstate.edu\/search\/)  [myState](https:\/\/my.msstate.edu\/)\n\nMenu\n\n- [Home](https:\/\/www.online.msstate.edu\/)\n- [Future Students](https:\/\/www.online.msstate.edu\/mscse)\n  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Master of Science in Computer Science\n\n# Master of Science in Computer Science\n[![Fee icon](https:\/\/www.online.msstate.edu\/sites\/www.online.msstate.edu\/files\/2023-02\/Fee.png)](https:\/\/www.online.msstate.edu\/financial-matters)\n\n[![down arrow](https:\/\/www.online.msstate.edu\/sites\/www.online.msstate.edu\/files\/2023-02\/downarrow.png)](https:\/\/www.online.msstate.edu\/financial-matters)\n\n## [Tuition & Fees](https:\/\/www.online.msstate.edu\/financial-matters)\n[In-state tuition for everyone\\!](https:\/\/www.online.msstate.edu\/financial-matters)\n\n[![Apply icon](https:\/\/www.online.msstate.edu\/sites\/www.online.msstate.edu\/files\/2023-02\/Apply.png)](https:\/\/www.online.msstate.edu\/admissions-process)\n\n[![down arrow](https:\/\/www.online.msstate.edu\/sites\/www.online.msstate.edu\/files\/2023-02\/downarrow.png)](https:\/\/www.online.msstate.edu\/admissions-process)\n\n## [Apply Now\\!](https:\/\/www.online.msstate.edu\/admissions-process)\n[Take your next step\\!](https:\/\/www.online.msstate.edu\/admissions-process)\n\n[![bell icon](https:\/\/www.online.msstate.edu\/sites\/www.online.msstate.edu\/files\/2023-02\/Bell.png)](https:\/\/cas.its.msstate.edu\/cas\/login?service=http%3A\/\/my.msstate.edu\/casservice%3Fdestination%3D\/)\n\n[![down arrow](https:\/\/www.online.msstate.edu\/sites\/www.online.msstate.edu\/files\/2023-02\/downarrow.png)](https:\/\/cas.its.msstate.edu\/cas\/login?service=http%3A\/\/my.msstate.edu\/casservice%3Fdestination%3D\/)\n\n## [myState](https:\/\/cas.its.msstate.edu\/cas\/login?service=http%3A\/\/my.msstate.edu\/casservice%3Fdestination%3D\/)\n[Access current student portal](https:\/\/cas.its.msstate.edu\/cas\/login?service=http%3A\/\/my.msstate.edu\/casservice%3Fdestination%3D\/)\n\n[![Class icon](https:\/\/www.online.msstate.edu\/sites\/www.online.msstate.edu\/files\/2023-02\/class.png)](https:\/\/mybanner.msstate.edu\/BannerExtensibility\/customPage\/page\/msuPublicMasterSchedule)\n\n[![down arrow](https:\/\/www.online.msstate.edu\/sites\/www.online.msstate.edu\/files\/2023-02\/downarrow.png)](https:\/\/mybanner.msstate.edu\/BannerExtensibility\/customPage\/page\/msuPublicMasterSchedule)\n\n## [Class Schedule](https:\/\/mybanner.msstate.edu\/BannerExtensibility\/customPage\/page\/msuPublicMasterSchedule)\n[Access the master class schedule](https:\/\/mybanner.msstate.edu\/BannerExtensibility\/customPage\/page\/msuPublicMasterSchedule)\n\n[![Info icon](https:\/\/www.online.msstate.edu\/sites\/www.online.msstate.edu\/files\/2023-02\/Info.png)](https:\/\/www.online.msstate.edu\/request-information)\n\n[![down arrow](https:\/\/www.online.msstate.edu\/sites\/www.online.msstate.edu\/files\/2023-02\/downarrow.png)](https:\/\/www.online.msstate.edu\/request-information)\n\n## [Request Info](https:\/\/www.online.msstate.edu\/request-information)\n[Connect with the team](https:\/\/www.online.msstate.edu\/request-information)\n\n## Get Started on Your Graduate Degree Online Today\\!\nA Master’s degree in Computer Science is an ideal choice for a student who enjoys math and problem-solving.\n\nMS Major: Computer Science (Thesis & Non-Thesis) Concentration: General, Artificial Intelligence & Robotics, Computational Science, Cybersecurity, Data Science & Analytics, Human & Visual Computing, Software Engineering, Systems.  \n The program of study of a Master of Science in Computer Science degree includes advanced courses in computer science that are selected according to the goals of the student. The program of study of a Doctor of Philosophy (Ph.D.) in Computer Science degree includes advanced courses in computer science and significant scholarly research in computer science, presented in a dissertation. Both degrees may choose between a General program or a more focused research area.\n\n### Tuition & Fees\n|   |   |\n|---|---|\n| Tuition per credit hour | \\$581.00 |\n| Instructional Support Fee per credit hour | \\$25.00 |\n\nTuition and fees listed are subject to change and do not include all possible charges. Additional fees may apply. Please refer to the [master class schedule](https:\/\/mybanner.msstate.edu\/BannerExtensibility\/customPage\/page\/msuPublicMasterSchedule) for individual course charges.\n### Research Areas\nThe department’s core research areas include the following:\n\n- Artificial intelligence & robotics\n- Computational science\n- Cybersecurity\n- Data science & analytics\n- Human & visual computing\n- Software engineering\n- Systems\n\nFaculty, research assistants, thesis students, and dissertation students participate in a wide variety of research projects. Many research projects are multidisciplinary or multi-specialty in nature. MS applicants are required to have a 3.0 GPA in overall undergraduate work; international students require a suitable demonstration of English proficiency. Candidates for the master’s degree must have completed all prerequisite courses or their equivalent with a B or better. For additional details, consult the CS Department’s Graduate Handbook.\n\n### Program highlights:\n- We are a highly interactive, highly ranked, research intensive department that cares deeply about its students and their future.\n- Students are provided extensive opportunities to make connections between research and practice and to experience interactive teaching and learning.\n- Our faculty are experts in their fields of study and many are nationally known for their contributions within the scientific community.\n- This program is offered completely online and does not require students to come to campus in order to complete this program.\n\n##### A Note From the Department Head\n\"Based on government statistics, 63% of all STEM jobs in the United States are computer science related jobs, and there are four jobs available for every graduate in computer science. These are stoning numbers that highlight the importance of computer science discipline in the US and world and its defining effect on economic growth.\"\n\n\"Considering the sharply increasing demand in computer science, since 2010, computer science and engineering department has made it possible to combine Mississippi State top-tier reputation with the flexibility of online study through our online MS in Computer Science. Our rigorous curriculum for this online degree is based on CSE’s on-campus degree, ensuring the elite quality of this program.\"\n\n\"You will be able to take classes in a flexible format that gives you the ability to pursue your educational goals in the manner most consistent with your career goals. The Master’s degree you receive at the end of your studies will be indistinguishable from its on-campus counterpart.\"\n\n–Dr. Shahram Rahimi, Department Head and Professor\n\n## Program Structure\nThe Computer Science MS is a 31-credit hour program. This program offers two concentrations for students to choose from: General or Research. For more information pertaining to program requirements, please review the [Graduate Handbook](https:\/\/www.cse.msstate.edu\/grad\/graduate-handbook\/).\n\nFor the General Concentration MS program, the program of study requires 31 graduate credit hours:\n\n- 4 hours (1 course + seminar) in the CS Core (Seminar & Theory)\n- 9 hours (3 courses) in the Breadth Requirement\n- (Optional) 3 hours of Directed Project (CSE 8080)\n- 15–18 free hours (5–6 courses)\n\nFor more information about the CS Core and Breadth Requirements for this program of study, please visit the [General Concentration program page](https:\/\/www.cse.msstate.edu\/grad\/ms-cs\/non-thesis\/).\n***\nFor the Research Concentration MS program, the program of study requires 31 graduate credit hours:\n\n- 4 hours (1 course + seminar) in the CS Core (Seminar & Theory)\n- 9 hours (3 courses) in the Breadth Requirement\n- (Optional) 3 hours of Directed Project (CSE 8080)\n- 15–18 free hours (5–6 courses)\n\nFor more information about the CS Core and Breadth Requirements for this program of study, please visit the [Research Concentration program page](https:\/\/www.cse.msstate.edu\/grad\/ms-cs\/thesis\/).\n\n## Curriculum\nCore\n\nCSE 8011 Seminar – 1 credit hour\n\nTheory – 3 credit hours\n\n- CSE 8833: Algorithms or\n- CSE 8813: Theory of Computation or\n- CSE 8843: Complexity of Sequential and Parallel Algorithms\n\n**Capstone:**\n\n- **Non-Thesis Students:** 6 hours of coursework, may include CSE 8080 (Directed Project)\n- **Thesis Students:** CSE 9000 (Research in Computer Science & Engineering)\n\nCoursework outside CSE may count only at a student’s committee’s discretion. The majority of hours must come from CSE.\n\nStudents must take an appropriate number of 8000 level graded course hours as outlined in the Graduate Catalog and CSE Graduate Handbook.\n\nConcentration: General\n\n**Breadth Requirement:** 9 hours from 3 different concentration areas of computer science approved by advisor.\n\n**Additional Hours:** 12 hours of graduate coursework (excluding CSE 8080 or CSE 9000).\n\nConcentration: Artificial Intelligence & Robotics\n\n**Depth Requirement:** 9 hours in AI & robotics and related approved courses.\n\n**Breadth Requirement:** 6 hours from 2 other concentration areas approved by advisor.\n\n**Additional Hours:** 6 hours graduate coursework (excluding CSE 8080 or CSE 9000).\n\nConcentration: Computational Science\n\n**Depth Requirement:** 9 hours in computational science and approved courses.\n\n**Breadth Requirement:** 6 hours from 2 other concentration areas approved by advisor.\n\n**Additional Hours:** 6 hours graduate coursework (excluding CSE 8080 or CSE 9000).\n\nConcentration: Cybersecurity\n\n**Depth Requirement:** 9 hours in cybersecurity and approved courses.\n\n**Breadth Requirement:** 6 hours from 2 other concentration areas approved by advisor.\n\n**Additional Hours:** 6 hours graduate coursework (excluding CSE 8080 or CSE 9000).\n\nConcentration: Data Science & Analytics\n\n**Depth Requirement:** 9 hours in data science & analytics and approved courses.\n\n**Breadth Requirement:** 6 hours from 2 other concentration areas approved by advisor.\n\n**Additional Hours:** 6 hours graduate coursework (excluding CSE 8080 or CSE 9000).\n\nConcentration: Human & Visual Computing\n\n**Depth Requirement:** 9 hours in human & visual computing and approved courses.\n\n**Breadth Requirement:** 6 hours from 2 other concentration areas approved by advisor.\n\n**Additional Hours:** 6 hours graduate coursework (excluding CSE 8080 or CSE 9000).\n\nConcentration: Software Engineering\n\n**Depth Requirement:** 9 hours in software engineering and approved courses.\n\n**Breadth Requirement:** 6 hours from 2 other concentration areas approved by advisor.\n\n**Additional Hours:** 6 hours graduate coursework (excluding CSE 8080 or CSE 9000).\n\nConcentration: Systems\n\n**Depth Requirement:** 9 hours in systems and approved courses.\n\n**Breadth Requirement:** 6 hours from 2 other concentration areas approved by advisor.\n\n**Additional Hours:** 6 hours graduate coursework (excluding CSE 8080 or CSE 9000).\n\nTotal Hours Required\n\nMinimum total: **31 credit hours**\n\nStudents are required to complete:\n\n- **Non-Thesis:** 12 hours of 8000-level graded courses (including Directed Project if applicable)\n- **Thesis:** 9 hours of 8000-level graded courses\n\nThese do not include CSE 8011 (Seminar) or CSE 9000 (Research).\n## Research Opportunities\nComputer Science and Engineering (CSE) is a research-intensive department with faculty who are world class researchers. CSE’s research expenditure in 2018 was about \\$10M, which is one of the highest in the nation. We encourage both on-campus and online students to participate in our many research opportunities.\n\n- Artificial Intelligence\n- Machine Learning and Soft Computing\n- Computer Systems including Security and Networks\n- Computational Sciences including High Performance Computing and Bioinformatics\n- Graphics and Visualization including Visual Data Science and Augmented Reality\n- Human Centered Computing including Robotics\n- Software Engineering\n\n## Admissions Requirements\nStudents seeking full admission into this program should apply as a classified student. Non-degree seeking students wishing to take classes offered through the Online program should apply as an Unclassified student.\n\nApplications for the degree programs are reviewed two times a year. The application deadlines for those semesters are as follows:\n\n- Spring Enrollments need applications by **November 1**\n- Fall Enrollments need applications by **June 1**\n***\nAn applicant for admission to graduate study must hold a bachelor's degree from a fully recognized four-year educational institution that has unconditional accreditation with appropriate regional accrediting agencies. They must meet the admission requirements of the Graduate School and the Computer Science program.\n\nA student who wishes to study graduate Computer Science must have the ability to develop and analyze software for their study. Understanding the interface between computer hardware and software is required as is some mathematical fluency:\n\n- Two semesters programming with some Object-Oriented Programming (OOP)\n- Data Structures\n- Operating Systems Fundamentals\n- Basic Computing Theory\n- Mathematics for Computer Science\n\nRegular admission to graduate study in the program requires a minimum grade point average (last four semesters of undergraduate work) of 3.00\/4.00. When a student is deficient in one of the criteria cited, the student's application, nevertheless, may be considered for admission based on the strength of other materials contained in the student's application.\n\nThe Graduate Record Examination (GRE) or Graduate Management Admission Test (GMAT) scores are NOT required for entry into this program.\n\nBagley College of Engineering programs may accept transfer work previously completed by the student. Transcript reviews to determine transfer or prerequisite work will be evaluated AFTER students are granted full admission. Once admitted an academic coordinator can review those transcripts for more information.\n\nTo meet admission requirements, submit a separate official final transcript from each college or university attended; faxed transcripts will not be accepted. An applicant may not ignore previous college attendance and must list all colleges attended on the application for admission. You must be in good standing at the last college or university attended\n***\n### Admission Options\n- [Domestic\/International Classified Admissions](https:\/\/www.online.msstate.edu\/mscse#home)\n- [Domestic Unclassified Admissions](https:\/\/www.online.msstate.edu\/mscse#menu1)\n- [International Unclassified Admissions](https:\/\/www.online.msstate.edu\/mscse#menu2)\n\n- [Provisional Admissions](https:\/\/www.online.msstate.edu\/mscse#menu3)\n- [Readmission](https:\/\/www.online.msstate.edu\/mscse#menu4)\n- [Transfer Credit](https:\/\/www.online.msstate.edu\/mscse#menu5)\n\n#### Domestic\/International Classified Admissions\n1. Submit online [application](https:\/\/apply.grad.msstate.edu\/). You will choose Master of Science in Computer Science as your Program of Study and Online Education as your campus.\n2. Statement of Purpose\n3. Three letters of recommendation\n   - You will be asked to submit three names and three email addresses of individuals you are using as references. Once you click submit, these individuals will be sent an email from MSU, which will provide a link to an online form for completing their recommendations.\n4. One official transcript showing bachelor’s degree or progress toward degree. *(For international students, please submit a copy in native language along with translated copies, if appropriate.)*\n5. One official transcript showing **ALL** work after bachelor’s degree. *(For international students, please submit a copy in native language along with translated copies, if appropriate.)*\n   - Electronic transcripts should be sent to: [gradapps@grad.msstate.edu](mailto:gradapps@grad.msstate.edu) Mississippi State University, Graduate School. Only one copy of an electronic transcript is required.\n   - Paper transcripts should be mailed to: *Mississippi State University  The Office of the Graduate School  P.O. Box G  Mississippi State, MS 39762*\n   - **Physical Street Address (for DHL, Fed Ex, UPS, DHS, etc.):**  \n      Mississippi State University  \n      Office of the Graduate School  \n      255 Lee Blvd  \n      Mississippi State, MS 39762\n6. Payment of \\$60 non-refundable application processing fee for domestic students.  \n    Payment of \\$80 non-refundable application processing fee for international students.\n7. Once you are admitted, you will receive an email with complete instructions on registering for classes and contacting your advisor\n\n#### Domestic Unclassified Admissions\nOnly **NINE (9)** hours of course work taken as an \"Unclassified Student\" can be applied toward a degree program. All Unclassified students should submit a classified application once they have reached the maximum of nine hours. Full admission into the Master of Science in Computer Science online program will be based upon successful completion of all classified admissions requirements.\n\nIf you are applying unclassified, select \"Graduate School - Unclassified\" as the college.\n\n1. Submit online [application](https:\/\/apply.grad.msstate.edu\/)\n2. One official transcript showing bachelor’s degree or progress toward degree. *(For international students, please submit a copy in native language along with translated copies, if appropriate.)*\n3. One official transcript showing **ALL** work after bachelor’s degree. *(For international students, please submit a copy in native language along with translated copies, if appropriate.)*\n   - Electronic transcripts should be sent to: [gradapps@grad.msstate.edu](mailto:gradapps@grad.msstate.edu) Mississippi State University, Graduate School. Only one copy of an electronic transcript is required.\n   - Paper transcripts should be mailed to: *Mississippi State University  The Office of the Graduate School  P.O. Box G  Mississippi State, MS 39762*\n   - **Physical Street Address (for DHL, Fed Ex, UPS, DHS, etc.):**  \n      Mississippi State University  \n      Office of the Graduate School  \n      255 Lee Blvd  \n      Mississippi State, MS 39762\n4. Pay \\$60 non-refundable application processing fee\n\n**PLEASE NOTE**  \n In general, students who are not admitted into a degree program are not eligible for student financial aid funds. For more information please visit [Student Financial Aid](https:\/\/www.sfa.msstate.edu\/types-of-aid\/general-student-eligibility-requirements\/non-degree-students\/) to see if you will be eligible or not while taking courses as an Unclassified graduate student.\n\n#### International Unclassified Admissions\nOnly **NINE (9)** hours of course work taken as an \"Unclassified Student\" can be applied toward a degree program. All Unclassified students should submit a classified application once they have reached the maximum of nine hours. Full admission into the Master of Science in Computer Science online program will be based upon successful completion of all classified admissions requirements.\n\nIf you are applying unclassified, select \"Graduate School - Unclassified\" as the college.\n\n1. Submit online [application](https:\/\/apply.grad.msstate.edu\/)\n2. TOEFL or IELTS scores are required for international students.\n3. One copy of academic records showing degree(s) *(in native language along with translated copies if appropriate)*\n4. One official transcript showing bachelor’s degree or progress toward degree. *(For international students, please submit a copy in native language along with translated copies, if appropriate.)*\n5. One official transcript showing **ALL** work after bachelor’s degree. *(For international students, please submit a copy in native language along with translated copies, if appropriate.)*\n   - Electronic transcripts should be sent to: [gradapps@grad.msstate.edu](mailto:gradapps@grad.msstate.edu) Mississippi State University, Graduate School. Only one copy of an electronic transcript is required.\n   - Paper transcripts should be mailed to: *Mississippi State University  The Office of the Graduate School  P.O. Box G  Mississippi State, MS 39762*\n   - **Physical Street Address (for DHL, Fed Ex, UPS, DHS, etc.):**  \n      Mississippi State University  \n      Office of the Graduate School  \n      255 Lee Blvd  \n      Mississippi State, MS 39762\n6. Must obtain application approval from the Dean of the Graduate School\n7. Payment of \\$80 non-refundable application processing fee for international students.\n\n**PLEASE NOTE**  \n In general, students who are not admitted into a degree program are not eligible for student financial aid funds. For more information please visit [Student Financial Aid](https:\/\/www.sfa.msstate.edu\/types-of-aid\/general-student-eligibility-requirements\/non-degree-students\/) to see if you will be eligible or not while taking courses as an Unclassified graduate student.\n\n#### Provisional Admissions\nA student who has not fully met the requirements stipulated by the University and the department for admission to graduate study may be granted admission as a degree-seeking graduate student with provisional status. Such student must have as his\/her initial objective advancement to regular status. A provisional student must receive a 3.00 GPA on the first nine hours of graduate level courses on the program of study taken at Mississippi State University (transfer hours or unclassified graduate hours will not apply) in order to achieve regular status. If a 3.00 is not attained, the provisional student will be dismissed from graduate study.\n\n#### Readmission\nOnce enrolled in graduate study, a student who fails to meet the [continuous enrollment](http:\/\/catalog.msstate.edu\/graduate\/academic-policies\/enrollment-requirements\/#continuousenrollmenttext) requirement must complete an Application for Readmission to register for classes. Continuous enrollment is defined as enrollment in two of three semester terms (Fall, Spring, or Summer) with Fall enrollment required. Students who have not been enrolled for a period of three years or longer and are in good academic standing, are eligible to reapply to through the Lapsed Student Program. Readmission is not guaranteed and must be approved by the Department Head, Academic Dean, and Dean of the Graduate School. Interested students or academic departments should contact the Graduate School for [more information.](http:\/\/catalog.msstate.edu\/graduate\/academic-policies\/enrollment-requirements\/#readmissiontext)\n\n#### Transfer Credit\nStudents may transfer up to twelve (12) hours of graduate level credits from regionally accredited institutions. The decision to grant transfer credit is made by the advisor and the student’s graduate committee. If you wish to transfer credits, contact your advisor. You will need to provide an official transcript showing the courses you wish to transfer.\n\n### Attention International Students\nApplicants whose native language is not English must submit the results of either the TOEFL or IELTS exam. Prospective students should contact ETS (TOEFL) or IELTS for testing information. The Graduate School maintains a [list of countries](http:\/\/catalog.msstate.edu\/graduate\/admissions-information\/application-process\/#applicationtext) exempt from English language requirements. Please consult the [Graduate Catalog](http:\/\/catalog.msstate.edu\/graduate\/admissions-information\/) for specific English Language test score requirements.\n\n#### English Language Test Score Requirements\n| TOEFL Essentials | TOEFL iBT | IELTS | Admission Eligibility | Outcome |\n|---|---|---|---|---|\n| 9 and above | 79 and above | 6\\.5 and above | Eligible for admission for any term and a graduate assistantship | Considered proficient in English. Applicant is not required to enroll in an ESL course unless his\/her academic program requires a higher test score. |\n| 8\\.0-8.5 | 69-78 | 6\\.0-6.4 | Eligible for admission for Fall, Spring, or Summer and a graduate assistantship. | Scores indicate a need for assistance in English writing, research, and editing skills. Applicant must enroll in EAP 5323 Academic Research and Writing. Student may enroll in up to 6 credit hours in his\/her graduate program. |\n| 7\\.0-7.5 | 61-68 | 5\\.5-5.9 | Eligible for admission for the Fall & Spring terms only. Not eligible for a graduate assistantship until ESL requirements are met. | Applicant is required to enroll in ESL 5120, a 9-hour intensive English course (graded on a Satisfactory\/Unsatisfactory basis). The student must complete this course prior to registering for courses in his\/her graduate program. The student must then enroll in EAP 5323. |\n| 6\\.0-6.5 | 54-60 | 4\\.6-5.4 | Eligible for admission for the Fall term only. Not eligible for a graduate assistantship until ESL requirements are met. | Applicant is required to enroll in ESL 5110, an intensive English course (graded on a Satisfactory\/Unsatisfactory basis). The student cannot enroll in courses in his\/her program until ESL 5110 and ESL 5120 have been successfully completed. The student must then complete ESL 5120 before proceeding to enroll in EAP 5323. |\n| 5\\.5 and below | 53 and below | 4\\.5 and below | Not eligible for admission to the Graduate School. | Applicant can enroll in the English Language Institute on a non-credit basis after which he\/she can retake the English-language test in preparation for submitting another application to graduate study at MSU. |\n\n## Accessing Online Courses\n#### Accessing Course Videos\nVideos recorded during our on campus class sessions are uploaded for online students to view within our online course repository. Online students will have access to course videos within 24 hours of the on campus course completion. Students should visit [Engage](https:\/\/oc-engage.engr.msstate.edu\/engage\/ui\/index.html) to access the course videos. Instructions for viewing the recordings and downloading the recordings are offered below.\n***\n#### View and Download Videos\nInstructions for viewing classes live or downloading videos, [use our video download instructions.](https:\/\/www.bagley.msstate.edu\/wp-content\/uploads\/Opencast_Engage_Instructions_ViewDownload.pdf)\n***\nIf you experience technical difficulties or have any questions regarding the recording or format of our lecture capture, please contact:\n\nIT Support & Staff  \n Bagley College of Engineering  \n Mississippi State University  \n[dist-support@engr.msstate.edu](mailto:dist-support@engr.msstate.edu)  \n 662.325.7794\n\n### Student Resources\n- [Thesis and Dissertation](https:\/\/www.library.msstate.edu\/thesis)\n- [Research Guide](https:\/\/guides.library.msstate.edu\/cse)\n## Contact Information\n![Headshot of Catrinia Anthony](https:\/\/www.online.msstate.edu\/sites\/www.online.msstate.edu\/files\/2023-10\/anthony.png)\n\n#### Catrinia Anthony\n####\n##### Program Entry Navigator\nGeneral Program Questions\n\nAssistance with Admissions Process & Requirements\n\n[c.anthony@msstate.edu](mailto:c.anthony@msstate.edu)\n\n[662-325-1742](tel:662-325-1742)\n\n![Anusha](https:\/\/www.online.msstate.edu\/sites\/www.online.msstate.edu\/files\/2021-10\/Anusha.png)\n\n#### Anusha Rijal\n####\n##### Retention & Engagement Coach\nCurrent Student Inquires\n\nAcademic & Support Services Assistance\n\n[a.rijal@msstate.edu](mailto:a.rijal@msstate.edu)\n\n[662-325-8876](tel:662-325-8876)\n\n![T.J. Jankun-Kelly headshot](https:\/\/www.online.msstate.edu\/sites\/www.online.msstate.edu\/files\/2025-08\/Dr._T_.J_Jankun_Kelly.jpg)\n\n#### Dr. T.J. Jankun-Kelly\n####\n##### Computer Science and Engineering\nGraduate Coordinator\n\n[tjk@cse.msstate.edu](mailto:tjk@cse.msstate.edu)\n\n[662-325-7504](tel:662-325-7504)\n\n![Updated Filler card](https:\/\/www.online.msstate.edu\/sites\/www.online.msstate.edu\/files\/2025-08\/UpdatedCard.jpg)\n\n#### Department of Computer Science and Engineering\n#### [See department page](https:\/\/www.cse.msstate.edu\/)\n#####\n\n- [![Find Mississippi State Online on Facebook](https:\/\/cdn01.its.msstate.edu\/i\/social-icons\/icons\/facebook.svg)](https:\/\/www.facebook.com\/msstateonline\/)\n- [![Find Mississippi State Online on Instagram](https:\/\/cdn01.its.msstate.edu\/i\/social-icons\/icons\/instagram.svg)](https:\/\/www.instagram.com\/msstateonline\/)\n- [![Find Mississippi State Online on LinkedIn](https:\/\/cdn01.its.msstate.edu\/i\/social-icons\/icons\/linkedin.svg)](https:\/\/www.linkedin.com\/company\/ms-state-online)\n- [![Find Mississippi State Online on YouTube](https:\/\/cdn01.its.msstate.edu\/i\/social-icons\/icons\/youtube.svg)](https:\/\/www.youtube.com\/channel\/UC_rYsq0IfHHR5ysJfLFe9bQ)\n\n[![Mississippi State University M mark](https:\/\/cdn01.its.msstate.edu\/i\/logos\/msstate\/SQUARE_WEB_white.svg)](https:\/\/www.msstate.edu\/)\n\n**Center for Distance Education**\n\n365 Barr Avenue  \n P.O. Box 5247\n\nMississippi State, MS 39762\n\n[Email ask@online.msstate.edu ask@online.msstate.edu](mailto:ask@online.msstate.edu \"ask@online.msstate.edu\")\n\n[Call (662) 325-3473 (662) 325-3473](<tel:(662) 325-3473>)\n\n[Fax (662) 325-2657 (662) 325-2657](<fax:(662) 325-2657>)\n\n- [Accreditation at MSState](https:\/\/www.provost.msstate.edu\/accreditation)\n- [Research at MSState](https:\/\/www.msstate.edu\/research)\n- [Emergencies at MSState](https:\/\/www.emergency.msstate.edu\/)\n\n- [IT Status at MSState](https:\/\/www.status.its.msstate.edu\/)\n- [Tech Assist at MSState](https:\/\/www.online.msstate.edu\/technical-assistance)\n- [Libraries at MSState](https:\/\/www.msstate.edu\/libraries\/)\n\n- [Outreach at MSState](https:\/\/www.msstate.edu\/outreach\/)\n- [Athletics at MSState](https:\/\/www.msstate.edu\/athletics\/)\n- [Giving at MSState](https:\/\/www.online.msstate.edu\/give-now)\n\n[![Logo for Mississippi State University](https:\/\/cdn01.its.msstate.edu\/i\/logos\/msstate\/HORIZONTAL_WEB_white.svg)](https:\/\/www.msstate.edu\/)\n\n[Customer Service at MSState](https:\/\/www.msstate.edu\/customer-service\/) \\| [EEO Statement at MSState](https:\/\/www.msstate.edu\/eeo-statement\/) \\| [Ethics Line at MSState](https:\/\/www.msstate.edu\/ethics-line\/) \\| [Legal Notices at MSState](https:\/\/www.msstate.edu\/legal\/) \\| [Annual Security & Fire Report at MSState](https:\/\/www.msstate.edu\/annual-security-fire-report\/)\n\nMississippi State University is an equal opportunity institution. Discrimination is prohibited in university employment, programs or activities based on race, color, ethnicity, sex, pregnancy, religion, national origin, disability, age, sexual orientation, genetic information, status as a U.S. veteran, or any other status to the extent protected by applicable law. Questions about equal opportunity programs or compliance should be directed to the [Office of Civil Rights Compliance](https:\/\/www.civilrights.msstate.edu\/), 231 Famous Maroon Band Street, P.O. 6044, Mississippi State, MS 39762\n\nCopyright © 2026 Mississippi State University. All Rights Reserved.\n\nTechnical problems, contact the [Site Maintainers](https:\/\/www.online.msstate.edu\/site-maintainer).\n\n![](https:\/\/dc.ads.linkedin.com\/collect\/?pid=1106396&fmt=gif)\n\n![](https:\/\/www.facebook.com\/tr?id=275246456709113&ev=PageView%20%0A&noscript=1)\n\n![](https:\/\/www.facebook.com\/tr?id=231781992106544&ev=PageView&noscript=1)","attrs_readable_markdown":"Get Started on Your Graduate Degree Online Today\\!\n\nA Master’s degree in Computer Science is an ideal choice for a student who enjoys math and problem-solving.\n\nMS Major: Computer Science (Thesis & Non-Thesis) Concentration: General, Artificial Intelligence & Robotics, Computational Science, Cybersecurity, Data Science & Analytics, Human & Visual Computing, Software Engineering, Systems.  \n The program of study of a Master of Science in Computer Science degree includes advanced courses in computer science that are selected according to the goals of the student. The program of study of a Doctor of Philosophy (Ph.D.) in Computer Science degree includes advanced courses in computer science and significant scholarly research in computer science, presented in a dissertation. Both degrees may choose between a General program or a more focused research area.\n\nTuition & Fees\n\n|   |   |\n|---|---|\n| Tuition per credit hour | \\$581.00 |\n| Instructional Support Fee per credit hour | \\$25.00 |\n\nTuition and fees listed are subject to change and do not include all possible charges. Additional fees may apply. Please refer to the [master class schedule](https:\/\/mybanner.msstate.edu\/BannerExtensibility\/customPage\/page\/msuPublicMasterSchedule) for individual course charges.\n### Research Areas\nThe department’s core research areas include the following:\n\n- Artificial intelligence & robotics\n- Computational science\n- Cybersecurity\n- Data science & analytics\n- Human & visual computing\n- Software engineering\n- Systems\n\nFaculty, research assistants, thesis students, and dissertation students participate in a wide variety of research projects. Many research projects are multidisciplinary or multi-specialty in nature. MS applicants are required to have a 3.0 GPA in overall undergraduate work; international students require a suitable demonstration of English proficiency. Candidates for the master’s degree must have completed all prerequisite courses or their equivalent with a B or better. For additional details, consult the CS Department’s Graduate Handbook.\n\n### Program highlights:\n- We are a highly interactive, highly ranked, research intensive department that cares deeply about its students and their future.\n- Students are provided extensive opportunities to make connections between research and practice and to experience interactive teaching and learning.\n- Our faculty are experts in their fields of study and many are nationally known for their contributions within the scientific community.\n- This program is offered completely online and does not require students to come to campus in order to complete this program.\n\n##### A Note From the Department Head\n\"Based on government statistics, 63% of all STEM jobs in the United States are computer science related jobs, and there are four jobs available for every graduate in computer science. These are stoning numbers that highlight the importance of computer science discipline in the US and world and its defining effect on economic growth.\"\n\n\"Considering the sharply increasing demand in computer science, since 2010, computer science and engineering department has made it possible to combine Mississippi State top-tier reputation with the flexibility of online study through our online MS in Computer Science. Our rigorous curriculum for this online degree is based on CSE’s on-campus degree, ensuring the elite quality of this program.\"\n\n\"You will be able to take classes in a flexible format that gives you the ability to pursue your educational goals in the manner most consistent with your career goals. The Master’s degree you receive at the end of your studies will be indistinguishable from its on-campus counterpart.\"\n\n–Dr. Shahram Rahimi, Department Head and Professor\n\nProgram Structure The Computer Science MS is a 31-credit hour program. This program offers two concentrations for students to choose from: General or Research. For more information pertaining to program requirements, please review the [Graduate Handbook](https:\/\/www.cse.msstate.edu\/grad\/graduate-handbook\/). For the General Concentration MS program, the program of study requires 31 graduate credit hours: 4 hours (1 course + seminar) in the CS Core (Seminar & Theory) 9 hours (3 courses) in the Breadth Requirement (Optional) 3 hours of Directed Project (CSE 8080) 15–18 free hours (5–6 courses) For more information about the CS Core and Breadth Requirements for this program of study, please visit the [General Concentration program page](https:\/\/www.cse.msstate.edu\/grad\/ms-cs\/non-thesis\/). For the Research Concentration MS program, the program of study requires 31 graduate credit hours: 4 hours (1 course + seminar) in the CS Core (Seminar & Theory) 9 hours (3 courses) in the Breadth Requirement (Optional) 3 hours of Directed Project (CSE 8080) 15–18 free hours (5–6 courses) For more information about the CS Core and Breadth Requirements for this program of study, please visit the [Research Concentration program page](https:\/\/www.cse.msstate.edu\/grad\/ms-cs\/thesis\/). Curriculum Core CSE 8011 Seminar – 1 credit hour Theory – 3 credit hours CSE 8833: Algorithms or CSE 8813: Theory of Computation or CSE 8843: Complexity of Sequential and Parallel Algorithms **Capstone:** **Non-Thesis Students:** 6 hours of coursework, may include CSE 8080 (Directed Project) **Thesis Students:** CSE 9000 (Research in Computer Science & Engineering) Coursework outside CSE may count only at a student’s committee’s discretion. The majority of hours must come from CSE. Students must take an appropriate number of 8000 level graded course hours as outlined in the Graduate Catalog and CSE Graduate Handbook. Concentration: General **Breadth Requirement:** 9 hours from 3 different concentration areas of computer science approved by advisor. **Additional Hours:** 12 hours of graduate coursework (excluding CSE 8080 or CSE 9000). Concentration: Artificial Intelligence & Robotics **Depth Requirement:** 9 hours in AI & robotics and related approved courses. **Breadth Requirement:** 6 hours from 2 other concentration areas approved by advisor. **Additional Hours:** 6 hours graduate coursework (excluding CSE 8080 or CSE 9000). Concentration: Computational Science **Depth Requirement:** 9 hours in computational science and approved courses. **Breadth Requirement:** 6 hours from 2 other concentration areas approved by advisor. **Additional Hours:** 6 hours graduate coursework (excluding CSE 8080 or CSE 9000). Concentration: Cybersecurity **Depth Requirement:** 9 hours in cybersecurity and approved courses. **Breadth Requirement:** 6 hours from 2 other concentration areas approved by advisor. **Additional Hours:** 6 hours graduate coursework (excluding CSE 8080 or CSE 9000). Concentration: Data Science & Analytics **Depth Requirement:** 9 hours in data science & analytics and approved courses. **Breadth Requirement:** 6 hours from 2 other concentration areas approved by advisor. **Additional Hours:** 6 hours graduate coursework (excluding CSE 8080 or CSE 9000). Concentration: Human & Visual Computing **Depth Requirement:** 9 hours in human & visual computing and approved courses. **Breadth Requirement:** 6 hours from 2 other concentration areas approved by advisor. **Additional Hours:** 6 hours graduate coursework (excluding CSE 8080 or CSE 9000). Concentration: Software Engineering **Depth Requirement:** 9 hours in software engineering and approved courses. **Breadth Requirement:** 6 hours from 2 other concentration areas approved by advisor. **Additional Hours:** 6 hours graduate coursework (excluding CSE 8080 or CSE 9000). Concentration: Systems **Depth Requirement:** 9 hours in systems and approved courses. **Breadth Requirement:** 6 hours from 2 other concentration areas approved by advisor. **Additional Hours:** 6 hours graduate coursework (excluding CSE 8080 or CSE 9000). Total Hours Required Minimum total: **31 credit hours** Students are required to complete: **Non-Thesis:** 12 hours of 8000-level graded courses (including Directed Project if applicable) **Thesis:** 9 hours of 8000-level graded courses These do not include CSE 8011 (Seminar) or CSE 9000 (Research). Research Opportunities Computer Science and Engineering (CSE) is a research-intensive department with faculty who are world class researchers. CSE’s research expenditure in 2018 was about \\$10M, which is one of the highest in the nation. We encourage both on-campus and online students to participate in our many research opportunities. Artificial Intelligence Machine Learning and Soft Computing Computer Systems including Security and Networks Computational Sciences including High Performance Computing and Bioinformatics Graphics and Visualization including Visual Data Science and Augmented Reality Human Centered Computing including Robotics Software Engineering\n\nAdmissions Requirements Students seeking full admission into this program should apply as a classified student. Non-degree seeking students wishing to take classes offered through the Online program should apply as an Unclassified student. Applications for the degree programs are reviewed two times a year. The application deadlines for those semesters are as follows: Spring Enrollments need applications by **November 1** Fall Enrollments need applications by **June 1** An applicant for admission to graduate study must hold a bachelor's degree from a fully recognized four-year educational institution that has unconditional accreditation with appropriate regional accrediting agencies. They must meet the admission requirements of the Graduate School and the Computer Science program. A student who wishes to study graduate Computer Science must have the ability to develop and analyze software for their study. Understanding the interface between computer hardware and software is required as is some mathematical fluency: Two semesters programming with some Object-Oriented Programming (OOP) Data Structures Operating Systems Fundamentals Basic Computing Theory Mathematics for Computer Science Regular admission to graduate study in the program requires a minimum grade point average (last four semesters of undergraduate work) of 3.00\/4.00. When a student is deficient in one of the criteria cited, the student's application, nevertheless, may be considered for admission based on the strength of other materials contained in the student's application. The Graduate Record Examination (GRE) or Graduate Management Admission Test (GMAT) scores are NOT required for entry into this program. Bagley College of Engineering programs may accept transfer work previously completed by the student. Transcript reviews to determine transfer or prerequisite work will be evaluated AFTER students are granted full admission. Once admitted an academic coordinator can review those transcripts for more information. To meet admission requirements, submit a separate official final transcript from each college or university attended; faxed transcripts will not be accepted. An applicant may not ignore previous college attendance and must list all colleges attended on the application for admission. You must be in good standing at the last college or university attended Admission Options [Domestic\/International Classified Admissions](https:\/\/www.online.msstate.edu\/mscse#home) [Domestic Unclassified Admissions](https:\/\/www.online.msstate.edu\/mscse#menu1) [International Unclassified Admissions](https:\/\/www.online.msstate.edu\/mscse#menu2) [Provisional Admissions](https:\/\/www.online.msstate.edu\/mscse#menu3) [Readmission](https:\/\/www.online.msstate.edu\/mscse#menu4) [Transfer Credit](https:\/\/www.online.msstate.edu\/mscse#menu5) Domestic\/International Classified Admissions Submit online [application](https:\/\/apply.grad.msstate.edu\/). You will choose Master of Science in Computer Science as your Program of Study and Online Education as your campus. Statement of Purpose Three letters of recommendation You will be asked to submit three names and three email addresses of individuals you are using as references. Once you click submit, these individuals will be sent an email from MSU, which will provide a link to an online form for completing their recommendations. One official transcript showing bachelor’s degree or progress toward degree. *(For international students, please submit a copy in native language along with translated copies, if appropriate.)* One official transcript showing **ALL** work after bachelor’s degree. *(For international students, please submit a copy in native language along with translated copies, if appropriate.)* Electronic transcripts should be sent to: [gradapps@grad.msstate.edu](mailto:gradapps@grad.msstate.edu) Mississippi State University, Graduate School. Only one copy of an electronic transcript is required. Paper transcripts should be mailed to: *Mississippi State University  The Office of the Graduate School  P.O. Box G  Mississippi State, MS 39762* **Physical Street Address (for DHL, Fed Ex, UPS, DHS, etc.):**  \n Mississippi State University  \n Office of the Graduate School  \n 255 Lee Blvd  \n Mississippi State, MS 39762 Payment of \\$60 non-refundable application processing fee for domestic students.  \n Payment of \\$80 non-refundable application processing fee for international students. Once you are admitted, you will receive an email with complete instructions on registering for classes and contacting your advisor\n\nAttention International Students Applicants whose native language is not English must submit the results of either the TOEFL or IELTS exam. Prospective students should contact ETS (TOEFL) or IELTS for testing information. The Graduate School maintains a [list of countries](http:\/\/catalog.msstate.edu\/graduate\/admissions-information\/application-process\/#applicationtext) exempt from English language requirements. Please consult the [Graduate Catalog](http:\/\/catalog.msstate.edu\/graduate\/admissions-information\/) for specific English Language test score requirements. English Language Test Score Requirements TOEFL Essentials TOEFL iBT IELTS Admission Eligibility Outcome 9 and above 79 and above 6\\.5 and above Eligible for admission for any term and a graduate assistantship Considered proficient in English. Applicant is not required to enroll in an ESL course unless his\/her academic program requires a higher test score. 8\\.0-8.5 69-78 6\\.0-6.4 Eligible for admission for Fall, Spring, or Summer and a graduate assistantship. Scores indicate a need for assistance in English writing, research, and editing skills. Applicant must enroll in EAP 5323 Academic Research and Writing. Student may enroll in up to 6 credit hours in his\/her graduate program. 7\\.0-7.5 61-68 5\\.5-5.9 Eligible for admission for the Fall & Spring terms only. Not eligible for a graduate assistantship until ESL requirements are met. Applicant is required to enroll in ESL 5120, a 9-hour intensive English course (graded on a Satisfactory\/Unsatisfactory basis). The student must complete this course prior to registering for courses in his\/her graduate program. The student must then enroll in EAP 5323. 6\\.0-6.5 54-60 4\\.6-5.4 Eligible for admission for the Fall term only. Not eligible for a graduate assistantship until ESL requirements are met. Applicant is required to enroll in ESL 5110, an intensive English course (graded on a Satisfactory\/Unsatisfactory basis). The student cannot enroll in courses in his\/her program until ESL 5110 and ESL 5120 have been successfully completed. The student must then complete ESL 5120 before proceeding to enroll in EAP 5323. 5\\.5 and below 53 and below 4\\.5 and below Not eligible for admission to the Graduate School. Applicant can enroll in the English Language Institute on a non-credit basis after which he\/she can retake the English-language test in preparation for submitting another application to graduate study at MSU.\n\nAccessing Online Courses Accessing Course Videos Videos recorded during our on campus class sessions are uploaded for online students to view within our online course repository. Online students will have access to course videos within 24 hours of the on campus course completion. Students should visit [Engage](https:\/\/oc-engage.engr.msstate.edu\/engage\/ui\/index.html) to access the course videos. Instructions for viewing the recordings and downloading the recordings are offered below. View and Download Videos Instructions for viewing classes live or downloading videos, [use our video download instructions.](https:\/\/www.bagley.msstate.edu\/wp-content\/uploads\/Opencast_Engage_Instructions_ViewDownload.pdf) If you experience technical difficulties or have any questions regarding the recording or format of our lecture capture, please contact: IT Support & Staff  \n Bagley College of Engineering  \n Mississippi State University  \n[dist-support@engr.msstate.edu](mailto:dist-support@engr.msstate.edu)  \n 662.325.7794\n\nContact Information","meta_canonical":null}

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URL	https://www.online.msstate.edu/mscse
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Meta Title	Master of Science in Computer Science \| Mississippi State Online
Meta Description	Get Started on Your Graduate Degree Online Today! A Master’s degree in Computer Science is an ideal choice for a student who enjoys math and problem-solving.
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Boilerpipe Text	Get Started on Your Graduate Degree Online Today! A Master’s degree in Computer Science is an ideal choice for a student who enjoys math and problem-solving. MS Major: Computer Science (Thesis & Non-Thesis) Concentration: General, Artificial Intelligence & Robotics, Computational Science, Cybersecurity, Data Science & Analytics, Human & Visual Computing, Software Engineering, Systems. The program of study of a Master of Science in Computer Science degree includes advanced courses in computer science that are selected according to the goals of the student. The program of study of a Doctor of Philosophy (Ph.D.) in Computer Science degree includes advanced courses in computer science and significant scholarly research in computer science, presented in a dissertation. Both degrees may choose between a General program or a more focused research area. Tuition & Fees Tuition per credit hour $581.00 Instructional Support Fee per credit hour $25.00 Tuition and fees listed are subject to change and do not include all possible charges. Additional fees may apply. Please refer to the master class schedule for individual course charges. Research Areas The department’s core research areas include the following: Artificial intelligence & robotics Computational science Cybersecurity Data science & analytics Human & visual computing Software engineering Systems Faculty, research assistants, thesis students, and dissertation students participate in a wide variety of research projects. Many research projects are multidisciplinary or multi-specialty in nature. MS applicants are required to have a 3.0 GPA in overall undergraduate work; international students require a suitable demonstration of English proficiency. Candidates for the master’s degree must have completed all prerequisite courses or their equivalent with a B or better. For additional details, consult the CS Department’s Graduate Handbook. Program highlights: We are a highly interactive, highly ranked, research intensive department that cares deeply about its students and their future. Students are provided extensive opportunities to make connections between research and practice and to experience interactive teaching and learning. Our faculty are experts in their fields of study and many are nationally known for their contributions within the scientific community. This program is offered completely online and does not require students to come to campus in order to complete this program. A Note From the Department Head "Based on government statistics, 63% of all STEM jobs in the United States are computer science related jobs, and there are four jobs available for every graduate in computer science. These are stoning numbers that highlight the importance of computer science discipline in the US and world and its defining effect on economic growth." "Considering the sharply increasing demand in computer science, since 2010, computer science and engineering department has made it possible to combine Mississippi State top-tier reputation with the flexibility of online study through our online MS in Computer Science. Our rigorous curriculum for this online degree is based on CSE’s on-campus degree, ensuring the elite quality of this program." "You will be able to take classes in a flexible format that gives you the ability to pursue your educational goals in the manner most consistent with your career goals. The Master’s degree you receive at the end of your studies will be indistinguishable from its on-campus counterpart." –Dr. Shahram Rahimi, Department Head and Professor Program Structure The Computer Science MS is a 31-credit hour program. This program offers two concentrations for students to choose from: General or Research. For more information pertaining to program requirements, please review the Graduate Handbook . For the General Concentration MS program, the program of study requires 31 graduate credit hours: 4 hours (1 course + seminar) in the CS Core (Seminar & Theory) 9 hours (3 courses) in the Breadth Requirement (Optional) 3 hours of Directed Project (CSE 8080) 15–18 free hours (5–6 courses) For more information about the CS Core and Breadth Requirements for this program of study, please visit the General Concentration program page . For the Research Concentration MS program, the program of study requires 31 graduate credit hours: 4 hours (1 course + seminar) in the CS Core (Seminar & Theory) 9 hours (3 courses) in the Breadth Requirement (Optional) 3 hours of Directed Project (CSE 8080) 15–18 free hours (5–6 courses) For more information about the CS Core and Breadth Requirements for this program of study, please visit the Research Concentration program page . Curriculum Core CSE 8011 Seminar – 1 credit hour Theory – 3 credit hours CSE 8833: Algorithms or CSE 8813: Theory of Computation or CSE 8843: Complexity of Sequential and Parallel Algorithms Capstone: Non-Thesis Students: 6 hours of coursework, may include CSE 8080 (Directed Project) Thesis Students: CSE 9000 (Research in Computer Science & Engineering) Coursework outside CSE may count only at a student’s committee’s discretion. The majority of hours must come from CSE. Students must take an appropriate number of 8000 level graded course hours as outlined in the Graduate Catalog and CSE Graduate Handbook. Concentration: General Breadth Requirement: 9 hours from 3 different concentration areas of computer science approved by advisor. Additional Hours: 12 hours of graduate coursework (excluding CSE 8080 or CSE 9000). Concentration: Artificial Intelligence & Robotics Depth Requirement: 9 hours in AI & robotics and related approved courses. Breadth Requirement: 6 hours from 2 other concentration areas approved by advisor. Additional Hours: 6 hours graduate coursework (excluding CSE 8080 or CSE 9000). Concentration: Computational Science Depth Requirement: 9 hours in computational science and approved courses. Breadth Requirement: 6 hours from 2 other concentration areas approved by advisor. Additional Hours: 6 hours graduate coursework (excluding CSE 8080 or CSE 9000). Concentration: Cybersecurity Depth Requirement: 9 hours in cybersecurity and approved courses. Breadth Requirement: 6 hours from 2 other concentration areas approved by advisor. Additional Hours: 6 hours graduate coursework (excluding CSE 8080 or CSE 9000). Concentration: Data Science & Analytics Depth Requirement: 9 hours in data science & analytics and approved courses. Breadth Requirement: 6 hours from 2 other concentration areas approved by advisor. Additional Hours: 6 hours graduate coursework (excluding CSE 8080 or CSE 9000). Concentration: Human & Visual Computing Depth Requirement: 9 hours in human & visual computing and approved courses. Breadth Requirement: 6 hours from 2 other concentration areas approved by advisor. Additional Hours: 6 hours graduate coursework (excluding CSE 8080 or CSE 9000). Concentration: Software Engineering Depth Requirement: 9 hours in software engineering and approved courses. Breadth Requirement: 6 hours from 2 other concentration areas approved by advisor. Additional Hours: 6 hours graduate coursework (excluding CSE 8080 or CSE 9000). Concentration: Systems Depth Requirement: 9 hours in systems and approved courses. Breadth Requirement: 6 hours from 2 other concentration areas approved by advisor. Additional Hours: 6 hours graduate coursework (excluding CSE 8080 or CSE 9000). Total Hours Required Minimum total: 31 credit hours Students are required to complete: Non-Thesis: 12 hours of 8000-level graded courses (including Directed Project if applicable) Thesis: 9 hours of 8000-level graded courses These do not include CSE 8011 (Seminar) or CSE 9000 (Research). Research Opportunities Computer Science and Engineering (CSE) is a research-intensive department with faculty who are world class researchers. CSE’s research expenditure in 2018 was about $10M, which is one of the highest in the nation. We encourage both on-campus and online students to participate in our many research opportunities. Artificial Intelligence Machine Learning and Soft Computing Computer Systems including Security and Networks Computational Sciences including High Performance Computing and Bioinformatics Graphics and Visualization including Visual Data Science and Augmented Reality Human Centered Computing including Robotics Software Engineering Admissions Requirements Students seeking full admission into this program should apply as a classified student. Non-degree seeking students wishing to take classes offered through the Online program should apply as an Unclassified student. Applications for the degree programs are reviewed two times a year. The application deadlines for those semesters are as follows: Spring Enrollments need applications by November 1 Fall Enrollments need applications by June 1 An applicant for admission to graduate study must hold a bachelor's degree from a fully recognized four-year educational institution that has unconditional accreditation with appropriate regional accrediting agencies. They must meet the admission requirements of the Graduate School and the Computer Science program. A student who wishes to study graduate Computer Science must have the ability to develop and analyze software for their study. Understanding the interface between computer hardware and software is required as is some mathematical fluency: Two semesters programming with some Object-Oriented Programming (OOP) Data Structures Operating Systems Fundamentals Basic Computing Theory Mathematics for Computer Science Regular admission to graduate study in the program requires a minimum grade point average (last four semesters of undergraduate work) of 3.00/4.00. When a student is deficient in one of the criteria cited, the student's application, nevertheless, may be considered for admission based on the strength of other materials contained in the student's application. The Graduate Record Examination (GRE) or Graduate Management Admission Test (GMAT) scores are NOT required for entry into this program. Bagley College of Engineering programs may accept transfer work previously completed by the student. Transcript reviews to determine transfer or prerequisite work will be evaluated AFTER students are granted full admission. Once admitted an academic coordinator can review those transcripts for more information. To meet admission requirements, submit a separate official final transcript from each college or university attended; faxed transcripts will not be accepted. An applicant may not ignore previous college attendance and must list all colleges attended on the application for admission. You must be in good standing at the last college or university attended Admission Options Domestic/International Classified Admissions Domestic Unclassified Admissions International Unclassified Admissions Provisional Admissions Readmission Transfer Credit Domestic/International Classified Admissions Submit online application . You will choose Master of Science in Computer Science as your Program of Study and Online Education as your campus. Statement of Purpose Three letters of recommendation You will be asked to submit three names and three email addresses of individuals you are using as references. Once you click submit, these individuals will be sent an email from MSU, which will provide a link to an online form for completing their recommendations. One official transcript showing bachelor’s degree or progress toward degree. (For international students, please submit a copy in native language along with translated copies, if appropriate.) One official transcript showing ALL work after bachelor’s degree. (For international students, please submit a copy in native language along with translated copies, if appropriate.) Electronic transcripts should be sent to: gradapps@grad.msstate.edu Mississippi State University, Graduate School. Only one copy of an electronic transcript is required. Paper transcripts should be mailed to: Mississippi State University The Office of the Graduate School P.O. Box G Mississippi State, MS 39762 Physical Street Address (for DHL, Fed Ex, UPS, DHS, etc.): Mississippi State University Office of the Graduate School 255 Lee Blvd Mississippi State, MS 39762 Payment of $60 non-refundable application processing fee for domestic students. Payment of $80 non-refundable application processing fee for international students. Once you are admitted, you will receive an email with complete instructions on registering for classes and contacting your advisor Attention International Students Applicants whose native language is not English must submit the results of either the TOEFL or IELTS exam. Prospective students should contact ETS (TOEFL) or IELTS for testing information. The Graduate School maintains a list of countries exempt from English language requirements. Please consult the Graduate Catalog for specific English Language test score requirements. English Language Test Score Requirements TOEFL Essentials TOEFL iBT IELTS Admission Eligibility Outcome 9 and above 79 and above 6.5 and above Eligible for admission for any term and a graduate assistantship Considered proficient in English. Applicant is not required to enroll in an ESL course unless his/her academic program requires a higher test score. 8.0-8.5 69-78 6.0-6.4 Eligible for admission for Fall, Spring, or Summer and a graduate assistantship. Scores indicate a need for assistance in English writing, research, and editing skills. Applicant must enroll in EAP 5323 Academic Research and Writing. Student may enroll in up to 6 credit hours in his/her graduate program. 7.0-7.5 61-68 5.5-5.9 Eligible for admission for the Fall & Spring terms only. Not eligible for a graduate assistantship until ESL requirements are met. Applicant is required to enroll in ESL 5120, a 9-hour intensive English course (graded on a Satisfactory/Unsatisfactory basis). The student must complete this course prior to registering for courses in his/her graduate program. The student must then enroll in EAP 5323. 6.0-6.5 54-60 4.6-5.4 Eligible for admission for the Fall term only. Not eligible for a graduate assistantship until ESL requirements are met. Applicant is required to enroll in ESL 5110, an intensive English course (graded on a Satisfactory/Unsatisfactory basis). The student cannot enroll in courses in his/her program until ESL 5110 and ESL 5120 have been successfully completed. The student must then complete ESL 5120 before proceeding to enroll in EAP 5323. 5.5 and below 53 and below 4.5 and below Not eligible for admission to the Graduate School. Applicant can enroll in the English Language Institute on a non-credit basis after which he/she can retake the English-language test in preparation for submitting another application to graduate study at MSU. Accessing Online Courses Accessing Course Videos Videos recorded during our on campus class sessions are uploaded for online students to view within our online course repository. Online students will have access to course videos within 24 hours of the on campus course completion. Students should visit Engage to access the course videos. Instructions for viewing the recordings and downloading the recordings are offered below. View and Download Videos Instructions for viewing classes live or downloading videos, use our video download instructions. If you experience technical difficulties or have any questions regarding the recording or format of our lecture capture, please contact: IT Support & Staff Bagley College of Engineering Mississippi State University dist-support@engr.msstate.edu 662.325.7794 Contact Information
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Master of Science in Computer Science # Master of Science in Computer Science [![Fee icon](https://www.online.msstate.edu/sites/www.online.msstate.edu/files/2023-02/Fee.png)](https://www.online.msstate.edu/financial-matters) [![down arrow](https://www.online.msstate.edu/sites/www.online.msstate.edu/files/2023-02/downarrow.png)](https://www.online.msstate.edu/financial-matters) ## [Tuition & Fees](https://www.online.msstate.edu/financial-matters) [In-state tuition for everyone\!](https://www.online.msstate.edu/financial-matters) [![Apply icon](https://www.online.msstate.edu/sites/www.online.msstate.edu/files/2023-02/Apply.png)](https://www.online.msstate.edu/admissions-process) [![down arrow](https://www.online.msstate.edu/sites/www.online.msstate.edu/files/2023-02/downarrow.png)](https://www.online.msstate.edu/admissions-process) ## [Apply Now\!](https://www.online.msstate.edu/admissions-process) [Take your next step\!](https://www.online.msstate.edu/admissions-process) [![bell icon](https://www.online.msstate.edu/sites/www.online.msstate.edu/files/2023-02/Bell.png)](https://cas.its.msstate.edu/cas/login?service=http%3A//my.msstate.edu/casservice%3Fdestination%3D/) [![down arrow](https://www.online.msstate.edu/sites/www.online.msstate.edu/files/2023-02/downarrow.png)](https://cas.its.msstate.edu/cas/login?service=http%3A//my.msstate.edu/casservice%3Fdestination%3D/) ## [myState](https://cas.its.msstate.edu/cas/login?service=http%3A//my.msstate.edu/casservice%3Fdestination%3D/) [Access current student portal](https://cas.its.msstate.edu/cas/login?service=http%3A//my.msstate.edu/casservice%3Fdestination%3D/) [![Class icon](https://www.online.msstate.edu/sites/www.online.msstate.edu/files/2023-02/class.png)](https://mybanner.msstate.edu/BannerExtensibility/customPage/page/msuPublicMasterSchedule) [![down arrow](https://www.online.msstate.edu/sites/www.online.msstate.edu/files/2023-02/downarrow.png)](https://mybanner.msstate.edu/BannerExtensibility/customPage/page/msuPublicMasterSchedule) ## [Class Schedule](https://mybanner.msstate.edu/BannerExtensibility/customPage/page/msuPublicMasterSchedule) [Access the master class schedule](https://mybanner.msstate.edu/BannerExtensibility/customPage/page/msuPublicMasterSchedule) [![Info icon](https://www.online.msstate.edu/sites/www.online.msstate.edu/files/2023-02/Info.png)](https://www.online.msstate.edu/request-information) [![down arrow](https://www.online.msstate.edu/sites/www.online.msstate.edu/files/2023-02/downarrow.png)](https://www.online.msstate.edu/request-information) ## [Request Info](https://www.online.msstate.edu/request-information) [Connect with the team](https://www.online.msstate.edu/request-information) ## Get Started on Your Graduate Degree Online Today\! A Master’s degree in Computer Science is an ideal choice for a student who enjoys math and problem-solving. MS Major: Computer Science (Thesis & Non-Thesis) Concentration: General, Artificial Intelligence & Robotics, Computational Science, Cybersecurity, Data Science & Analytics, Human & Visual Computing, Software Engineering, Systems. The program of study of a Master of Science in Computer Science degree includes advanced courses in computer science that are selected according to the goals of the student. The program of study of a Doctor of Philosophy (Ph.D.) in Computer Science degree includes advanced courses in computer science and significant scholarly research in computer science, presented in a dissertation. Both degrees may choose between a General program or a more focused research area. ### Tuition & Fees \| \| \| \|---\|---\| \| Tuition per credit hour \| \$581.00 \| \| Instructional Support Fee per credit hour \| \$25.00 \| Tuition and fees listed are subject to change and do not include all possible charges. Additional fees may apply. Please refer to the [master class schedule](https://mybanner.msstate.edu/BannerExtensibility/customPage/page/msuPublicMasterSchedule) for individual course charges. ### Research Areas The department’s core research areas include the following: - Artificial intelligence & robotics - Computational science - Cybersecurity - Data science & analytics - Human & visual computing - Software engineering - Systems Faculty, research assistants, thesis students, and dissertation students participate in a wide variety of research projects. Many research projects are multidisciplinary or multi-specialty in nature. MS applicants are required to have a 3.0 GPA in overall undergraduate work; international students require a suitable demonstration of English proficiency. Candidates for the master’s degree must have completed all prerequisite courses or their equivalent with a B or better. For additional details, consult the CS Department’s Graduate Handbook. ### Program highlights: - We are a highly interactive, highly ranked, research intensive department that cares deeply about its students and their future. - Students are provided extensive opportunities to make connections between research and practice and to experience interactive teaching and learning. - Our faculty are experts in their fields of study and many are nationally known for their contributions within the scientific community. - This program is offered completely online and does not require students to come to campus in order to complete this program. ##### A Note From the Department Head "Based on government statistics, 63% of all STEM jobs in the United States are computer science related jobs, and there are four jobs available for every graduate in computer science. These are stoning numbers that highlight the importance of computer science discipline in the US and world and its defining effect on economic growth." "Considering the sharply increasing demand in computer science, since 2010, computer science and engineering department has made it possible to combine Mississippi State top-tier reputation with the flexibility of online study through our online MS in Computer Science. Our rigorous curriculum for this online degree is based on CSE’s on-campus degree, ensuring the elite quality of this program." "You will be able to take classes in a flexible format that gives you the ability to pursue your educational goals in the manner most consistent with your career goals. The Master’s degree you receive at the end of your studies will be indistinguishable from its on-campus counterpart." –Dr. Shahram Rahimi, Department Head and Professor ## Program Structure The Computer Science MS is a 31-credit hour program. This program offers two concentrations for students to choose from: General or Research. For more information pertaining to program requirements, please review the [Graduate Handbook](https://www.cse.msstate.edu/grad/graduate-handbook/). For the General Concentration MS program, the program of study requires 31 graduate credit hours: - 4 hours (1 course + seminar) in the CS Core (Seminar & Theory) - 9 hours (3 courses) in the Breadth Requirement - (Optional) 3 hours of Directed Project (CSE 8080) - 15–18 free hours (5–6 courses) For more information about the CS Core and Breadth Requirements for this program of study, please visit the [General Concentration program page](https://www.cse.msstate.edu/grad/ms-cs/non-thesis/). * For the Research Concentration MS program, the program of study requires 31 graduate credit hours: - 4 hours (1 course + seminar) in the CS Core (Seminar & Theory) - 9 hours (3 courses) in the Breadth Requirement - (Optional) 3 hours of Directed Project (CSE 8080) - 15–18 free hours (5–6 courses) For more information about the CS Core and Breadth Requirements for this program of study, please visit the [Research Concentration program page](https://www.cse.msstate.edu/grad/ms-cs/thesis/). ## Curriculum Core CSE 8011 Seminar – 1 credit hour Theory – 3 credit hours - CSE 8833: Algorithms or - CSE 8813: Theory of Computation or - CSE 8843: Complexity of Sequential and Parallel Algorithms Capstone: - Non-Thesis Students: 6 hours of coursework, may include CSE 8080 (Directed Project) - Thesis Students: CSE 9000 (Research in Computer Science & Engineering) Coursework outside CSE may count only at a student’s committee’s discretion. The majority of hours must come from CSE. Students must take an appropriate number of 8000 level graded course hours as outlined in the Graduate Catalog and CSE Graduate Handbook. Concentration: General Breadth Requirement: 9 hours from 3 different concentration areas of computer science approved by advisor. Additional Hours: 12 hours of graduate coursework (excluding CSE 8080 or CSE 9000). Concentration: Artificial Intelligence & Robotics Depth Requirement: 9 hours in AI & robotics and related approved courses. Breadth Requirement: 6 hours from 2 other concentration areas approved by advisor. Additional Hours: 6 hours graduate coursework (excluding CSE 8080 or CSE 9000). Concentration: Computational Science Depth Requirement: 9 hours in computational science and approved courses. Breadth Requirement: 6 hours from 2 other concentration areas approved by advisor. Additional Hours: 6 hours graduate coursework (excluding CSE 8080 or CSE 9000). Concentration: Cybersecurity Depth Requirement: 9 hours in cybersecurity and approved courses. Breadth Requirement: 6 hours from 2 other concentration areas approved by advisor. Additional Hours: 6 hours graduate coursework (excluding CSE 8080 or CSE 9000). Concentration: Data Science & Analytics Depth Requirement: 9 hours in data science & analytics and approved courses. Breadth Requirement: 6 hours from 2 other concentration areas approved by advisor. Additional Hours: 6 hours graduate coursework (excluding CSE 8080 or CSE 9000). Concentration: Human & Visual Computing Depth Requirement: 9 hours in human & visual computing and approved courses. Breadth Requirement: 6 hours from 2 other concentration areas approved by advisor. Additional Hours: 6 hours graduate coursework (excluding CSE 8080 or CSE 9000). Concentration: Software Engineering Depth Requirement: 9 hours in software engineering and approved courses. Breadth Requirement: 6 hours from 2 other concentration areas approved by advisor. Additional Hours: 6 hours graduate coursework (excluding CSE 8080 or CSE 9000). Concentration: Systems Depth Requirement: 9 hours in systems and approved courses. Breadth Requirement: 6 hours from 2 other concentration areas approved by advisor. Additional Hours: 6 hours graduate coursework (excluding CSE 8080 or CSE 9000). Total Hours Required Minimum total: 31 credit hours Students are required to complete: - Non-Thesis: 12 hours of 8000-level graded courses (including Directed Project if applicable) - Thesis: 9 hours of 8000-level graded courses These do not include CSE 8011 (Seminar) or CSE 9000 (Research). ## Research Opportunities Computer Science and Engineering (CSE) is a research-intensive department with faculty who are world class researchers. CSE’s research expenditure in 2018 was about \$10M, which is one of the highest in the nation. We encourage both on-campus and online students to participate in our many research opportunities. - Artificial Intelligence - Machine Learning and Soft Computing - Computer Systems including Security and Networks - Computational Sciences including High Performance Computing and Bioinformatics - Graphics and Visualization including Visual Data Science and Augmented Reality - Human Centered Computing including Robotics - Software Engineering ## Admissions Requirements Students seeking full admission into this program should apply as a classified student. Non-degree seeking students wishing to take classes offered through the Online program should apply as an Unclassified student. Applications for the degree programs are reviewed two times a year. The application deadlines for those semesters are as follows: - Spring Enrollments need applications by November 1 - Fall Enrollments need applications by June 1 * An applicant for admission to graduate study must hold a bachelor's degree from a fully recognized four-year educational institution that has unconditional accreditation with appropriate regional accrediting agencies. They must meet the admission requirements of the Graduate School and the Computer Science program. A student who wishes to study graduate Computer Science must have the ability to develop and analyze software for their study. Understanding the interface between computer hardware and software is required as is some mathematical fluency: - Two semesters programming with some Object-Oriented Programming (OOP) - Data Structures - Operating Systems Fundamentals - Basic Computing Theory - Mathematics for Computer Science Regular admission to graduate study in the program requires a minimum grade point average (last four semesters of undergraduate work) of 3.00/4.00. When a student is deficient in one of the criteria cited, the student's application, nevertheless, may be considered for admission based on the strength of other materials contained in the student's application. The Graduate Record Examination (GRE) or Graduate Management Admission Test (GMAT) scores are NOT required for entry into this program. Bagley College of Engineering programs may accept transfer work previously completed by the student. Transcript reviews to determine transfer or prerequisite work will be evaluated AFTER students are granted full admission. Once admitted an academic coordinator can review those transcripts for more information. To meet admission requirements, submit a separate official final transcript from each college or university attended; faxed transcripts will not be accepted. An applicant may not ignore previous college attendance and must list all colleges attended on the application for admission. You must be in good standing at the last college or university attended *** ### Admission Options - [Domestic/International Classified Admissions](https://www.online.msstate.edu/mscse#home) - [Domestic Unclassified Admissions](https://www.online.msstate.edu/mscse#menu1) - [International Unclassified Admissions](https://www.online.msstate.edu/mscse#menu2) - [Provisional Admissions](https://www.online.msstate.edu/mscse#menu3) - [Readmission](https://www.online.msstate.edu/mscse#menu4) - [Transfer Credit](https://www.online.msstate.edu/mscse#menu5) #### Domestic/International Classified Admissions 1. Submit online [application](https://apply.grad.msstate.edu/). You will choose Master of Science in Computer Science as your Program of Study and Online Education as your campus. 2. Statement of Purpose 3. Three letters of recommendation - You will be asked to submit three names and three email addresses of individuals you are using as references. Once you click submit, these individuals will be sent an email from MSU, which will provide a link to an online form for completing their recommendations. 4. One official transcript showing bachelor’s degree or progress toward degree. (For international students, please submit a copy in native language along with translated copies, if appropriate.) 5. One official transcript showing ALL work after bachelor’s degree. (For international students, please submit a copy in native language along with translated copies, if appropriate.) - Electronic transcripts should be sent to: [gradapps@grad.msstate.edu](mailto:gradapps@grad.msstate.edu) Mississippi State University, Graduate School. Only one copy of an electronic transcript is required. - Paper transcripts should be mailed to: Mississippi State University The Office of the Graduate School P.O. Box G Mississippi State, MS 39762 - Physical Street Address (for DHL, Fed Ex, UPS, DHS, etc.): Mississippi State University Office of the Graduate School 255 Lee Blvd Mississippi State, MS 39762 6. Payment of \$60 non-refundable application processing fee for domestic students. Payment of \$80 non-refundable application processing fee for international students. 7. Once you are admitted, you will receive an email with complete instructions on registering for classes and contacting your advisor #### Domestic Unclassified Admissions Only NINE (9) hours of course work taken as an "Unclassified Student" can be applied toward a degree program. All Unclassified students should submit a classified application once they have reached the maximum of nine hours. Full admission into the Master of Science in Computer Science online program will be based upon successful completion of all classified admissions requirements. If you are applying unclassified, select "Graduate School - Unclassified" as the college. 1. Submit online [application](https://apply.grad.msstate.edu/) 2. One official transcript showing bachelor’s degree or progress toward degree. (For international students, please submit a copy in native language along with translated copies, if appropriate.) 3. One official transcript showing ALL work after bachelor’s degree. (For international students, please submit a copy in native language along with translated copies, if appropriate.) - Electronic transcripts should be sent to: [gradapps@grad.msstate.edu](mailto:gradapps@grad.msstate.edu) Mississippi State University, Graduate School. Only one copy of an electronic transcript is required. - Paper transcripts should be mailed to: Mississippi State University The Office of the Graduate School P.O. Box G Mississippi State, MS 39762 - Physical Street Address (for DHL, Fed Ex, UPS, DHS, etc.): Mississippi State University Office of the Graduate School 255 Lee Blvd Mississippi State, MS 39762 4. Pay \$60 non-refundable application processing fee PLEASE NOTE In general, students who are not admitted into a degree program are not eligible for student financial aid funds. For more information please visit [Student Financial Aid](https://www.sfa.msstate.edu/types-of-aid/general-student-eligibility-requirements/non-degree-students/) to see if you will be eligible or not while taking courses as an Unclassified graduate student. #### International Unclassified Admissions Only NINE (9) hours of course work taken as an "Unclassified Student" can be applied toward a degree program. All Unclassified students should submit a classified application once they have reached the maximum of nine hours. Full admission into the Master of Science in Computer Science online program will be based upon successful completion of all classified admissions requirements. If you are applying unclassified, select "Graduate School - Unclassified" as the college. 1. Submit online [application](https://apply.grad.msstate.edu/) 2. TOEFL or IELTS scores are required for international students. 3. One copy of academic records showing degree(s) (in native language along with translated copies if appropriate) 4. One official transcript showing bachelor’s degree or progress toward degree. (For international students, please submit a copy in native language along with translated copies, if appropriate.) 5. One official transcript showing ALL work after bachelor’s degree. (For international students, please submit a copy in native language along with translated copies, if appropriate.) - Electronic transcripts should be sent to: [gradapps@grad.msstate.edu](mailto:gradapps@grad.msstate.edu) Mississippi State University, Graduate School. Only one copy of an electronic transcript is required. - Paper transcripts should be mailed to: Mississippi State University The Office of the Graduate School P.O. Box G Mississippi State, MS 39762 - Physical Street Address (for DHL, Fed Ex, UPS, DHS, etc.): Mississippi State University Office of the Graduate School 255 Lee Blvd Mississippi State, MS 39762 6. Must obtain application approval from the Dean of the Graduate School 7. Payment of \$80 non-refundable application processing fee for international students. PLEASE NOTE In general, students who are not admitted into a degree program are not eligible for student financial aid funds. For more information please visit [Student Financial Aid](https://www.sfa.msstate.edu/types-of-aid/general-student-eligibility-requirements/non-degree-students/) to see if you will be eligible or not while taking courses as an Unclassified graduate student. #### Provisional Admissions A student who has not fully met the requirements stipulated by the University and the department for admission to graduate study may be granted admission as a degree-seeking graduate student with provisional status. Such student must have as his/her initial objective advancement to regular status. A provisional student must receive a 3.00 GPA on the first nine hours of graduate level courses on the program of study taken at Mississippi State University (transfer hours or unclassified graduate hours will not apply) in order to achieve regular status. If a 3.00 is not attained, the provisional student will be dismissed from graduate study. #### Readmission Once enrolled in graduate study, a student who fails to meet the [continuous enrollment](http://catalog.msstate.edu/graduate/academic-policies/enrollment-requirements/#continuousenrollmenttext) requirement must complete an Application for Readmission to register for classes. Continuous enrollment is defined as enrollment in two of three semester terms (Fall, Spring, or Summer) with Fall enrollment required. Students who have not been enrolled for a period of three years or longer and are in good academic standing, are eligible to reapply to through the Lapsed Student Program. Readmission is not guaranteed and must be approved by the Department Head, Academic Dean, and Dean of the Graduate School. Interested students or academic departments should contact the Graduate School for [more information.](http://catalog.msstate.edu/graduate/academic-policies/enrollment-requirements/#readmissiontext) #### Transfer Credit Students may transfer up to twelve (12) hours of graduate level credits from regionally accredited institutions. The decision to grant transfer credit is made by the advisor and the student’s graduate committee. If you wish to transfer credits, contact your advisor. You will need to provide an official transcript showing the courses you wish to transfer. ### Attention International Students Applicants whose native language is not English must submit the results of either the TOEFL or IELTS exam. Prospective students should contact ETS (TOEFL) or IELTS for testing information. The Graduate School maintains a [list of countries](http://catalog.msstate.edu/graduate/admissions-information/application-process/#applicationtext) exempt from English language requirements. Please consult the [Graduate Catalog](http://catalog.msstate.edu/graduate/admissions-information/) for specific English Language test score requirements. #### English Language Test Score Requirements \| TOEFL Essentials \| TOEFL iBT \| IELTS \| Admission Eligibility \| Outcome \| \|---\|---\|---\|---\|---\| \| 9 and above \| 79 and above \| 6\.5 and above \| Eligible for admission for any term and a graduate assistantship \| Considered proficient in English. Applicant is not required to enroll in an ESL course unless his/her academic program requires a higher test score. \| \| 8\.0-8.5 \| 69-78 \| 6\.0-6.4 \| Eligible for admission for Fall, Spring, or Summer and a graduate assistantship. \| Scores indicate a need for assistance in English writing, research, and editing skills. Applicant must enroll in EAP 5323 Academic Research and Writing. Student may enroll in up to 6 credit hours in his/her graduate program. \| \| 7\.0-7.5 \| 61-68 \| 5\.5-5.9 \| Eligible for admission for the Fall & Spring terms only. Not eligible for a graduate assistantship until ESL requirements are met. \| Applicant is required to enroll in ESL 5120, a 9-hour intensive English course (graded on a Satisfactory/Unsatisfactory basis). The student must complete this course prior to registering for courses in his/her graduate program. The student must then enroll in EAP 5323. \| \| 6\.0-6.5 \| 54-60 \| 4\.6-5.4 \| Eligible for admission for the Fall term only. Not eligible for a graduate assistantship until ESL requirements are met. \| Applicant is required to enroll in ESL 5110, an intensive English course (graded on a Satisfactory/Unsatisfactory basis). The student cannot enroll in courses in his/her program until ESL 5110 and ESL 5120 have been successfully completed. The student must then complete ESL 5120 before proceeding to enroll in EAP 5323. \| \| 5\.5 and below \| 53 and below \| 4\.5 and below \| Not eligible for admission to the Graduate School. \| Applicant can enroll in the English Language Institute on a non-credit basis after which he/she can retake the English-language test in preparation for submitting another application to graduate study at MSU. \| ## Accessing Online Courses #### Accessing Course Videos Videos recorded during our on campus class sessions are uploaded for online students to view within our online course repository. Online students will have access to course videos within 24 hours of the on campus course completion. Students should visit [Engage](https://oc-engage.engr.msstate.edu/engage/ui/index.html) to access the course videos. Instructions for viewing the recordings and downloading the recordings are offered below. * #### View and Download Videos Instructions for viewing classes live or downloading videos, [use our video download instructions.](https://www.bagley.msstate.edu/wp-content/uploads/Opencast_Engage_Instructions_ViewDownload.pdf) * If you experience technical difficulties or have any questions regarding the recording or format of our lecture capture, please contact: IT Support & Staff Bagley College of Engineering Mississippi State University [dist-support@engr.msstate.edu](mailto:dist-support@engr.msstate.edu) 662.325.7794 ### Student Resources - [Thesis and Dissertation](https://www.library.msstate.edu/thesis) - [Research Guide](https://guides.library.msstate.edu/cse) ## Contact Information ![Headshot of Catrinia Anthony](https://www.online.msstate.edu/sites/www.online.msstate.edu/files/2023-10/anthony.png) #### Catrinia Anthony #### ##### Program Entry Navigator General Program Questions Assistance with Admissions Process & Requirements [c.anthony@msstate.edu](mailto:c.anthony@msstate.edu) [662-325-1742](tel:662-325-1742) ![Anusha](https://www.online.msstate.edu/sites/www.online.msstate.edu/files/2021-10/Anusha.png) #### Anusha Rijal #### ##### Retention & Engagement Coach Current Student Inquires Academic & Support Services Assistance [a.rijal@msstate.edu](mailto:a.rijal@msstate.edu) [662-325-8876](tel:662-325-8876) ![T.J. Jankun-Kelly headshot](https://www.online.msstate.edu/sites/www.online.msstate.edu/files/2025-08/Dr._T_.J_Jankun_Kelly.jpg) #### Dr. T.J. 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Readable Markdown	Get Started on Your Graduate Degree Online Today\! A Master’s degree in Computer Science is an ideal choice for a student who enjoys math and problem-solving. MS Major: Computer Science (Thesis & Non-Thesis) Concentration: General, Artificial Intelligence & Robotics, Computational Science, Cybersecurity, Data Science & Analytics, Human & Visual Computing, Software Engineering, Systems. The program of study of a Master of Science in Computer Science degree includes advanced courses in computer science that are selected according to the goals of the student. The program of study of a Doctor of Philosophy (Ph.D.) in Computer Science degree includes advanced courses in computer science and significant scholarly research in computer science, presented in a dissertation. Both degrees may choose between a General program or a more focused research area. Tuition & Fees \| \| \| \|---\|---\| \| Tuition per credit hour \| \$581.00 \| \| Instructional Support Fee per credit hour \| \$25.00 \| Tuition and fees listed are subject to change and do not include all possible charges. Additional fees may apply. Please refer to the [master class schedule](https://mybanner.msstate.edu/BannerExtensibility/customPage/page/msuPublicMasterSchedule) for individual course charges. ### Research Areas The department’s core research areas include the following: - Artificial intelligence & robotics - Computational science - Cybersecurity - Data science & analytics - Human & visual computing - Software engineering - Systems Faculty, research assistants, thesis students, and dissertation students participate in a wide variety of research projects. Many research projects are multidisciplinary or multi-specialty in nature. MS applicants are required to have a 3.0 GPA in overall undergraduate work; international students require a suitable demonstration of English proficiency. Candidates for the master’s degree must have completed all prerequisite courses or their equivalent with a B or better. For additional details, consult the CS Department’s Graduate Handbook. ### Program highlights: - We are a highly interactive, highly ranked, research intensive department that cares deeply about its students and their future. - Students are provided extensive opportunities to make connections between research and practice and to experience interactive teaching and learning. - Our faculty are experts in their fields of study and many are nationally known for their contributions within the scientific community. - This program is offered completely online and does not require students to come to campus in order to complete this program. ##### A Note From the Department Head "Based on government statistics, 63% of all STEM jobs in the United States are computer science related jobs, and there are four jobs available for every graduate in computer science. These are stoning numbers that highlight the importance of computer science discipline in the US and world and its defining effect on economic growth." "Considering the sharply increasing demand in computer science, since 2010, computer science and engineering department has made it possible to combine Mississippi State top-tier reputation with the flexibility of online study through our online MS in Computer Science. Our rigorous curriculum for this online degree is based on CSE’s on-campus degree, ensuring the elite quality of this program." "You will be able to take classes in a flexible format that gives you the ability to pursue your educational goals in the manner most consistent with your career goals. The Master’s degree you receive at the end of your studies will be indistinguishable from its on-campus counterpart." –Dr. Shahram Rahimi, Department Head and Professor Program Structure The Computer Science MS is a 31-credit hour program. This program offers two concentrations for students to choose from: General or Research. For more information pertaining to program requirements, please review the [Graduate Handbook](https://www.cse.msstate.edu/grad/graduate-handbook/). For the General Concentration MS program, the program of study requires 31 graduate credit hours: 4 hours (1 course + seminar) in the CS Core (Seminar & Theory) 9 hours (3 courses) in the Breadth Requirement (Optional) 3 hours of Directed Project (CSE 8080) 15–18 free hours (5–6 courses) For more information about the CS Core and Breadth Requirements for this program of study, please visit the [General Concentration program page](https://www.cse.msstate.edu/grad/ms-cs/non-thesis/). For the Research Concentration MS program, the program of study requires 31 graduate credit hours: 4 hours (1 course + seminar) in the CS Core (Seminar & Theory) 9 hours (3 courses) in the Breadth Requirement (Optional) 3 hours of Directed Project (CSE 8080) 15–18 free hours (5–6 courses) For more information about the CS Core and Breadth Requirements for this program of study, please visit the [Research Concentration program page](https://www.cse.msstate.edu/grad/ms-cs/thesis/). Curriculum Core CSE 8011 Seminar – 1 credit hour Theory – 3 credit hours CSE 8833: Algorithms or CSE 8813: Theory of Computation or CSE 8843: Complexity of Sequential and Parallel Algorithms Capstone: Non-Thesis Students: 6 hours of coursework, may include CSE 8080 (Directed Project) Thesis Students: CSE 9000 (Research in Computer Science & Engineering) Coursework outside CSE may count only at a student’s committee’s discretion. The majority of hours must come from CSE. Students must take an appropriate number of 8000 level graded course hours as outlined in the Graduate Catalog and CSE Graduate Handbook. Concentration: General Breadth Requirement: 9 hours from 3 different concentration areas of computer science approved by advisor. Additional Hours: 12 hours of graduate coursework (excluding CSE 8080 or CSE 9000). Concentration: Artificial Intelligence & Robotics Depth Requirement: 9 hours in AI & robotics and related approved courses. Breadth Requirement: 6 hours from 2 other concentration areas approved by advisor. Additional Hours: 6 hours graduate coursework (excluding CSE 8080 or CSE 9000). Concentration: Computational Science Depth Requirement: 9 hours in computational science and approved courses. Breadth Requirement: 6 hours from 2 other concentration areas approved by advisor. Additional Hours: 6 hours graduate coursework (excluding CSE 8080 or CSE 9000). Concentration: Cybersecurity Depth Requirement: 9 hours in cybersecurity and approved courses. Breadth Requirement: 6 hours from 2 other concentration areas approved by advisor. Additional Hours: 6 hours graduate coursework (excluding CSE 8080 or CSE 9000). Concentration: Data Science & Analytics Depth Requirement: 9 hours in data science & analytics and approved courses. Breadth Requirement: 6 hours from 2 other concentration areas approved by advisor. Additional Hours: 6 hours graduate coursework (excluding CSE 8080 or CSE 9000). Concentration: Human & Visual Computing Depth Requirement: 9 hours in human & visual computing and approved courses. Breadth Requirement: 6 hours from 2 other concentration areas approved by advisor. Additional Hours: 6 hours graduate coursework (excluding CSE 8080 or CSE 9000). Concentration: Software Engineering Depth Requirement: 9 hours in software engineering and approved courses. Breadth Requirement: 6 hours from 2 other concentration areas approved by advisor. Additional Hours: 6 hours graduate coursework (excluding CSE 8080 or CSE 9000). Concentration: Systems Depth Requirement: 9 hours in systems and approved courses. Breadth Requirement: 6 hours from 2 other concentration areas approved by advisor. Additional Hours: 6 hours graduate coursework (excluding CSE 8080 or CSE 9000). Total Hours Required Minimum total: 31 credit hours Students are required to complete: Non-Thesis: 12 hours of 8000-level graded courses (including Directed Project if applicable) Thesis: 9 hours of 8000-level graded courses These do not include CSE 8011 (Seminar) or CSE 9000 (Research). Research Opportunities Computer Science and Engineering (CSE) is a research-intensive department with faculty who are world class researchers. CSE’s research expenditure in 2018 was about \$10M, which is one of the highest in the nation. We encourage both on-campus and online students to participate in our many research opportunities. Artificial Intelligence Machine Learning and Soft Computing Computer Systems including Security and Networks Computational Sciences including High Performance Computing and Bioinformatics Graphics and Visualization including Visual Data Science and Augmented Reality Human Centered Computing including Robotics Software Engineering Admissions Requirements Students seeking full admission into this program should apply as a classified student. Non-degree seeking students wishing to take classes offered through the Online program should apply as an Unclassified student. Applications for the degree programs are reviewed two times a year. The application deadlines for those semesters are as follows: Spring Enrollments need applications by November 1 Fall Enrollments need applications by June 1 An applicant for admission to graduate study must hold a bachelor's degree from a fully recognized four-year educational institution that has unconditional accreditation with appropriate regional accrediting agencies. They must meet the admission requirements of the Graduate School and the Computer Science program. A student who wishes to study graduate Computer Science must have the ability to develop and analyze software for their study. Understanding the interface between computer hardware and software is required as is some mathematical fluency: Two semesters programming with some Object-Oriented Programming (OOP) Data Structures Operating Systems Fundamentals Basic Computing Theory Mathematics for Computer Science Regular admission to graduate study in the program requires a minimum grade point average (last four semesters of undergraduate work) of 3.00/4.00. When a student is deficient in one of the criteria cited, the student's application, nevertheless, may be considered for admission based on the strength of other materials contained in the student's application. The Graduate Record Examination (GRE) or Graduate Management Admission Test (GMAT) scores are NOT required for entry into this program. Bagley College of Engineering programs may accept transfer work previously completed by the student. Transcript reviews to determine transfer or prerequisite work will be evaluated AFTER students are granted full admission. Once admitted an academic coordinator can review those transcripts for more information. To meet admission requirements, submit a separate official final transcript from each college or university attended; faxed transcripts will not be accepted. An applicant may not ignore previous college attendance and must list all colleges attended on the application for admission. You must be in good standing at the last college or university attended Admission Options [Domestic/International Classified Admissions](https://www.online.msstate.edu/mscse#home) [Domestic Unclassified Admissions](https://www.online.msstate.edu/mscse#menu1) [International Unclassified Admissions](https://www.online.msstate.edu/mscse#menu2) [Provisional Admissions](https://www.online.msstate.edu/mscse#menu3) [Readmission](https://www.online.msstate.edu/mscse#menu4) [Transfer Credit](https://www.online.msstate.edu/mscse#menu5) Domestic/International Classified Admissions Submit online [application](https://apply.grad.msstate.edu/). You will choose Master of Science in Computer Science as your Program of Study and Online Education as your campus. Statement of Purpose Three letters of recommendation You will be asked to submit three names and three email addresses of individuals you are using as references. Once you click submit, these individuals will be sent an email from MSU, which will provide a link to an online form for completing their recommendations. One official transcript showing bachelor’s degree or progress toward degree. (For international students, please submit a copy in native language along with translated copies, if appropriate.) One official transcript showing ALL work after bachelor’s degree. (For international students, please submit a copy in native language along with translated copies, if appropriate.) Electronic transcripts should be sent to: [gradapps@grad.msstate.edu](mailto:gradapps@grad.msstate.edu) Mississippi State University, Graduate School. Only one copy of an electronic transcript is required. Paper transcripts should be mailed to: Mississippi State University The Office of the Graduate School P.O. Box G Mississippi State, MS 39762 Physical Street Address (for DHL, Fed Ex, UPS, DHS, etc.): Mississippi State University Office of the Graduate School 255 Lee Blvd Mississippi State, MS 39762 Payment of \$60 non-refundable application processing fee for domestic students. Payment of \$80 non-refundable application processing fee for international students. Once you are admitted, you will receive an email with complete instructions on registering for classes and contacting your advisor Attention International Students Applicants whose native language is not English must submit the results of either the TOEFL or IELTS exam. Prospective students should contact ETS (TOEFL) or IELTS for testing information. The Graduate School maintains a [list of countries](http://catalog.msstate.edu/graduate/admissions-information/application-process/#applicationtext) exempt from English language requirements. Please consult the [Graduate Catalog](http://catalog.msstate.edu/graduate/admissions-information/) for specific English Language test score requirements. English Language Test Score Requirements TOEFL Essentials TOEFL iBT IELTS Admission Eligibility Outcome 9 and above 79 and above 6\.5 and above Eligible for admission for any term and a graduate assistantship Considered proficient in English. Applicant is not required to enroll in an ESL course unless his/her academic program requires a higher test score. 8\.0-8.5 69-78 6\.0-6.4 Eligible for admission for Fall, Spring, or Summer and a graduate assistantship. Scores indicate a need for assistance in English writing, research, and editing skills. Applicant must enroll in EAP 5323 Academic Research and Writing. Student may enroll in up to 6 credit hours in his/her graduate program. 7\.0-7.5 61-68 5\.5-5.9 Eligible for admission for the Fall & Spring terms only. Not eligible for a graduate assistantship until ESL requirements are met. Applicant is required to enroll in ESL 5120, a 9-hour intensive English course (graded on a Satisfactory/Unsatisfactory basis). The student must complete this course prior to registering for courses in his/her graduate program. The student must then enroll in EAP 5323. 6\.0-6.5 54-60 4\.6-5.4 Eligible for admission for the Fall term only. Not eligible for a graduate assistantship until ESL requirements are met. Applicant is required to enroll in ESL 5110, an intensive English course (graded on a Satisfactory/Unsatisfactory basis). The student cannot enroll in courses in his/her program until ESL 5110 and ESL 5120 have been successfully completed. The student must then complete ESL 5120 before proceeding to enroll in EAP 5323. 5\.5 and below 53 and below 4\.5 and below Not eligible for admission to the Graduate School. Applicant can enroll in the English Language Institute on a non-credit basis after which he/she can retake the English-language test in preparation for submitting another application to graduate study at MSU. Accessing Online Courses Accessing Course Videos Videos recorded during our on campus class sessions are uploaded for online students to view within our online course repository. Online students will have access to course videos within 24 hours of the on campus course completion. Students should visit [Engage](https://oc-engage.engr.msstate.edu/engage/ui/index.html) to access the course videos. Instructions for viewing the recordings and downloading the recordings are offered below. View and Download Videos Instructions for viewing classes live or downloading videos, [use our video download instructions.](https://www.bagley.msstate.edu/wp-content/uploads/Opencast_Engage_Instructions_ViewDownload.pdf) If you experience technical difficulties or have any questions regarding the recording or format of our lecture capture, please contact: IT Support & Staff Bagley College of Engineering Mississippi State University [dist-support@engr.msstate.edu](mailto:dist-support@engr.msstate.edu) 662.325.7794 Contact Information
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