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Computational Engineering is an interdisciplinary curriculum with both Master of Science and Doctor of Philosophy Degrees available. The program focuses on computational approaches to study systems governed by conservation laws that are seen in various fields of engineering and science.

Computational engineers with an advanced degree will be capable of pursuing careers in a variety of fields, including energy, manufacturing, aerospace, health care and microelectronics.

If you have an engineering background and are interested in careers in computational modeling in engineering, this is the degree you’re seeking. You should also consider this degree if you have a background in physics, computer science or mathematics and are interested in enhancing your knowledge and understanding applications in engineering and practical modeling techniques.

Program Structure

We take the time to customize your curriculum by tailoring the course offerings to match your computational experience, foundation and future career goals. Actual programs of study are strongly influenced by each student's focus of research and background in the three areas of emphasis: high-performance computing, numerical mathematics and the engineering application area. Each program of study is customized to the needs of the individual student and is finalized with the assistance of the CME coordinator, the student's major professor and the student's graduate committee.

Please see the graduate catalog for additional details on total credit requirement for the Doctor of Philosophy in Computational Engineering program.

Sample Programs of Study

The programs of study listed below are for illustration purposes only! Actual programs of study are strongly influenced by each student's background in and pre-requisite knowledge of the three areas of emphasis: high-performance computing, numerical mathematics and the engineering application area. Each program of study is customized to the needs of the individual student, and is finalized with the assistance of the CME coordinator, the student's major professor, and the student's graduate committee.

Ph.D. - Regular Admission

Course Credits Title Notes
MA 8203 3 Foundations of Applied Mathematics I Numerical math
MA 8213 3 Foundations of Applied Mathematics II Numerical math
MA 8463 3 Numerical Linear Algebra Numerical math
CSE 6753 3 Foundations in Computation High-performance computing
CSE 6163 3 Designing Parallel Algorithms High-performance computing
CSE 6214 4 Software Engineering High-performance computing
IE 6773 3 System Simulation I Application area
IE 8773 3 System Simulation II Application area
CME 9000 25 Dissertation Research  
 
Tailored to a student interested in Systems Engineering. Student already has a M.S. degree in Industrial Engineering. Total: 50 credits

Ph.D. - Direct Admission

Course Credits Title Notes
MA 8363 3 Numerical Solution of Systems of Nonlinear Equations Numerical math
MA 8443 3 Numerical Solution of Partial Differential Equations I Numerical math
MA 8453 3 Numerical Solution of Partial Differential Equations II Numerical math
MA 8383 3 Numerical Solution of Ordinary Differential Equations I Numerical math
MA 8393 3 Numerical Solution of Ordinary Differential Equations I Numerical math
CSE 6753 3 Foundations in Computation High-performance computing
CSE 6163 3 Designing Parallel Algorithms High-performance computing
CSE 6833 3 Introduction to Analysis of Algorithms High-performance computing
CSE 8833 3 Algorithms High-performance computing
CSE 6413 3 Principles of Computer Graphics Graphics and Visualization
CSE 8413 3 Visualization Graphics and Visualization
ECE 6413 3 Digital Signal Processing Graphics and Visualization
ECE 8443 3 Pattern Recognition Application area
ECE 8453 3 Intro to Wavelets Application area
ECE 8473 3 Digital Image Processing Application area
ECE 8483 3 Image and Video Coding Application area
CME 9000 24 Dissertation Research  
 
Tailored to a student interested in image processing. Student admitted with only a BS degree in math, physics, or engineering. Total: 72 credits

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 three times a year. The application deadlines for those semesters are as follows:

  • Fall Semester – June 1
  • Spring Semester – November 1
  • Summer Semester – May 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 Computational Engineering 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 Computational Engineering 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

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.

Student Resources


Contact Information

Photo of Daphne Knox

Daphne Knox

Online Education

  • Coordinator
Photo of Dr. Adrian Sescu

Dr. Adrian Sescu

Aerospace Engineering

  • Associate Professor
Headshot of Tamra Swann

Tamra Swann

Engineering

  • Distance Education Coordinator