Program Overview
Computational science and engineering (CSE) is the systematic study of computer–based models of natural phenomena and engineered systems. Students, researchers, and practitioners of CSE master domain–independent ideas that cut across computer science, applied mathematics, statistical data analysis and data mining, and the science and engineering disciplines. They use these ideas to solve problems having great societal impact, such as how to grow cities sustainably; how to design of power– efficient buildings and aircraft; how to discover new materials with specific properties; or how to create novel biomedical devices, effective drugs, and efficient health care delivery systems; to name just a few.
The goal of the CSE Graduate Programs (“CSE Programs”) at Georgia Tech is to help you master the unique body of knowledge and professional practices that constitute CSE, working in multidisciplinary teams of faculty and students who have a deep common interest in computational and data–driven models.
Download the CSE-MSE Handbook
Advisors
- Seung Soon Jang - CSE-MSE Coordinator and Liaison
- Hamid Garmestani
- Guoxiang (Emma) Hu
- Karl Jacob
- Mo Li
- David McDowell
- Chris Muhlstein
- Rampi Ramprasad
- Naresh Thadhani
- Aaron Stebner
- Donggang Yao
MASTER OF SCIENCE DEGREE PROGRAM (M.S. CSE) REQUIREMENTS
Table 1. Curriculum Overview (30 hours)
Curriculum Component | Semester Hours |
CSE core courses (see Table 2) | 12 |
Computation and application specialization – home unit minor (MSE) | 12 |
Additional computation and application electives (non– thesis option) OR | 6 |
CSE Thesis (thesis option) | 6 |
Total | 30 |
Table 2. CSE Core (12 hours; pick any four courses)
Core Course Number and Title | Credit Hours |
CSE/Math 6643 Numerical Linear Algebra | 3 |
CSE 6140 Computational Science and Engineering Algorithms | 3 |
CSE 6730 Modeling and Simulation: Fundamentals & Implementation | 3 |
CSE/ISYE 6740 Computational Data Analysis | 3 |
CSE 6220 High Performance Computing | 3 |
DOCTOR OF PHILOSOPHY (PHD) DEGREE PROGRAM REQUIREMENTS
Table 3. Curriculum Overview (31 hours)
Curriculum Component | Semester Hours |
CSE 6001 Intro to CSE | 1 |
CSE core courses (see Table 2) | 12 |
Computation specialization (may include special problems) | 9 |
Application specialization (may include special problems) (MSE courses) | 9 |
Total | 31 |
Program FAQ
- What is my home school?
- MSE (Material Science & Engineering)
- Do I have to complete the TA duties?
- PhD students must register for the 5 semesters of MSE TA duties.
- Is the MSE 8801 seminar required?
- No, however it is recommended.
- Should we contact MSE or CSE for graduate assistantships?
- MSE, CSE, or any other related Schools. Assistantships are dependent on availability of funding. Depending on the School which you are hired, you will need to contact that School regarding all hiring and payment questions.
- Are we eligible for topping grants?
- Yes. The MSE Graduate Office looks at all MSE students when issuing topping grants.
- Should I register thesis hours under MSE or CSE?
- MS students should register for CSE 7000 and PhD students should register for CSE 9000.
- How do I register for a class with a restriction?
- For MSE courses, you will need to email Laura Alger at laura.alger@mse.gatech.edu. For CSE courses, you need to contact CSE.
- Can I have an advisor outside of the MSE-CSE faculty?
- Yes, if you have a co-advisor who is a member of both your home unit (MSE) and the CSE program faculty. These faculty members are listed above.
