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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 Doctor of Philosophy in Computer Science degree is a 32-credit program that requires 12 course credit hours and 20 course credit hours of dissertation and research for completion. This program is an MS Admit Only program and does not allow for Direct Admissions straight from a bachelor’s degree program. Student applications should clearly identify the domain/specialization students want to work on. Working with a major professor and guiding committee, students will select appropriate core, specialization, and elective courses and develop a research program. Preparedness for research work will be measured via examinations, and finally defended before a body of peers in the dissertation defense.

Regardless of the program of study, certain policies apply to all coursework chosen. Please refer to our Graduate Handbook for these additional policies.

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 also required, as is some mathematical fluency. Students must demonstrate their potential for success in the program via strong previous academic work, a competitive GRE score, and demonstrated English proficiency as appropriate. Finally, a student must possess those qualifications and research interests that indicate to the Computer Science and Engineering Graduate Studies Committee that the applicant will be successful in the computer science doctoral program. Additional details for these requirements are provided on the Department of Computer Science and Engineering Graduate Admissions webpage.

Examinations

There are three examinations held during the course of PhD study, each with their own purpose:

  • The Qualifying Exam demonstrates mastery of the breadth of computer science and preparation for further study. It must be completed before research is started and is generally performed before coursework is concluded.
  • The Preliminary Exam demonstrates mastery of a research area in preparation for determining a topic. It is performed when coursework is concluded and advanced the student to candidacy (Ph.D. research eligibility).
  • The Dissertation Defense is before an audience of peers and is aimed to demonstrate the student's scholarship and contribution. It is the culmination of the student's efforts.

More details concerning the specific timelines, format, and guidelines for each exam is provided on the Department of Computer Science and Engineering Examination Procedure webpage.


Dissertation & Defense

The development and execution of a dissertation is the major milestone of Ph.D. study, and students should work with their dissertation director and guiding committee in tandem to forward their studies. These guidelines supplement, but do not supersede, those provided by the Graduate School; see the Office of the Graduate School guidelines for additional details such as the deadlines, exam process, submission steps, format for the dissertation, and so on.

The primary milestones for the dissertation are as follows:

  1. The student must complete coursework and the Qualifying exam.
  2. The semester before their anticipated Preliminary exam, students should review their Program of Study via CAPP on Banner to ensure all coursework will be completed.
  3. The student must complete the Preliminary exam after coursework is completed. Some dissertation directors combine this and the following step.
  4. After the Preliminary exam, the student proposes their research. The student develops a dissertation proposal following the University's Standard for Preparing Theses and Dissertations, and the Department's format standard (The signature page will list only Committee members.) The proposal must contain:
    • Introduction to the research being proposed.
    • Review of the relevant research in the area.
    • Hypothesis, research goals/questions, research relevancy, proposed research methodology/procedures, and publication plan.
  5. The major professor schedules a research proposal session with the students Graduate Committee. The student will present an oral defense of their proposed research. At this time, the student and his/her Committee may negotiate specific changes in the proposed work. Another proposal session may be required as appropriate. When the proposal is passed, the signed written proposal signature page is kept with the CSE office.
  6. Upon completion of the research, the student submits a draft copy of the dissertation document to each member of his/her Graduate Committee. This draft copy is must be distributed to the committee members at least one week prior to the planned date of the presentation. All suggestions and concerns should be resolved under the direction of the major professor.
  7. When the student is ready to defend the dissertation and be examined, the major professor schedules the presentation and examination. The dissertation presentation is open to all students and faculty. The presentation is followed immediately by an oral examination of the student that is open only to the members of the student's Graduate Committee (and the research director).
  8. Once the student has made all changes to the dissertation document requested by the committee members and the committee members and the Graduate Coordinator have signed the approval page, the student submits a signed copy of the approval page to the departmental office. Approval of the thesis proceeds from the committee, to the Graduate Coordinator of the Department, and thence to the Dean of Engineering. After all approvals are obtained, the student must submit an electronic copy of the dissertation to the Library for final approval.
    The Library provides guidelines for the format of theses. Dr. Ramkumar provides a LaTeX template for those wishing to use it, under the disclaimer that Library guidelines are the primary source of formatting and must be consulted at all times.

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.

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.


Attention International Students

International students are required to take the Test of English as a Foreign Language (TOEFL) and score greater than 550. Detailed information regarding international applications can be found in the Graduate Catalog. Questions regarding international applications can be addressed to the Office of the Graduate School at gradapps@grad.msstate.edu.

  • ETS is providing home testing for the TOEFL iBT test, and MSU is encouraging students to take advantage of this testing option. For those students applying who have taken the TOEFL within five years of the semester they plan to enroll and are unable to access the TOEFL iBT test from home, we will accept your previous test scores.

Admission Options

Domestic/International Classified Admissions

  1. Submit online application. You will choose Doctor of Philosophy 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 Mississippi State University, Graduate School. Only one copy of an electronic transcript is required.
    • Paper Transcripts Address (USPS):
      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
      The Office of the Graduate School
      175 President Circle
      116 Allen Hall
      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

Courses

CSE 8011 Graduate Seminar (Core: Seminar)
One hour seminar. Reports on recent advances and problems in computer science by guest speakers, faculty, and students; student participation, general discussion.


CSE 8833 Algorithms (Core: Graduate Theory)
(Prerequisites: CSE 4833/6833) Three hours lecture. Advanced techniques for designing and analyzing algorithms, advanced data structures, case studies, NP-completeness including reductions, approximation algorithms.


CSE 6633 Artificial Intelligence (Primary Specialization, Introduction)
(Prerequisite: Grade of C or better in CSE 2383 and CSE 2813) Three hours lecture. Study of the computer in context with human thought processes. Heuristic programming; search programming; search strategies; knowledge representation; natural language understanding; perception; learning.


CSE 8673 Machine Learning (Primary Specialization, Advanced)
(Prerequisite: CSE 4633/6633) Three hours lecture. Introduction to machine learning, including computational learning theory, major approaches to machine learning, evaluation of models, and current research.


CSE 6413 Principles of Computer Graphics (Secondary Specialization, Introduction)
(Prerequisites: MA 3113 and grade of C or better in CSE 2383) Three hours lecture. Graphics hardware; algorithms, graphics primitives, windowing and clipping , transformations,3D graphics, shading, hidden surfaces; standards.


CSE 8990 Special Topics: Data Visualization in R (Secondary Specialization)
Credit and title to be arranged. This course is to be used on a limited basis to offer developing subject matter areas not covered in existing courses. (Courses limited to two offerings under one title within two academic years).


CSE 8990 Special Topics: Markov Methods (Additional Hours)
Credit and title to be arranged. This course is to be used on a limited basis to offer developing subject matter areas not covered in existing courses. (Courses limited to two offerings under one title within two academic years).


CSE 6663 Human-Human-Computer Interaction (Additional Hours)
(Prerequisite: Junior class standing or consent of instructor) Three hours lecture. Conceptual models formed by users, aspects of computer systems which affect users, interface design and evaluation, and examples and critiques of specific interfaces.


CSE 6503 Database Management Systems (Additional Hours)
(Prerequisites: CSE 2383 and CSE 2813, both with a grade of C or better) Three hours lecture. Modern database models; basic database management concepts; query languages; database design through normalization; advanced database models; extensive development experience in a team environment.


CSE 8080 Directed Project (Additional Hours)
Hours and credits to be arranged. An individual professional project open only to candidates for the Master of Science degree (project option). Formal written and oral project reports are required.

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Accessing Online Courses

Accessing Course Videos

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 Videos

Instructions for viewing course videos, use our course video viewing instructions.


Download Videos

Instructions for downloading videos, use our video download instructions.


Viewing Classes Live

To view the class live, distance students will need to go to http://it.engr.msstate.edu/distance/player/?id=buildingroom and make sure they change "?id=buildingroom" to the correct room for their class (i.e. http://it.engr.msstate.edu/distance/player/?id=walker304).

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
distance-support@engr.msstate.edu
662.325.7794


Accessing Course Information

Course information may be accessible through Canvas (NetID and Net Password login required). If you do not find course information within Canvas please refer to the course videos (links listed above) for information from your professor regarding the class. Within Canvas clicking on the title for a course will take you to the default course view. On the left, there will be a toolbar with options selected by the professor – these may be Assignments, Announcements, Grades, Web Links, or any combination of a wide variety of utilities. These will be different for each class. If you experience technical difficulties or have any questions regarding Canvas, please contact the Center for Distance Education’s Technical Assistance.


Contact Information

Photo of Daphne Knox

Daphne Knox

Online Education

  • Coordinator
TJ Jankun Kelly Headshot

Dr. T.J Jankun-Kelly

Computer Science and Engineering

  • Graduate Coordinator
Headshot of Tamra Swann

Tamra Swann

Engineering

  • Distance Education Coordinator