Computational Science & Engineering Concentration
for the graduate concentration in Computational Science & Engineering
The heart of Computational Science and Engineering (CSE) is to develop innovative ways of solving engineering and scientific problems using computation as a tool. This new form of science compresses the development process in engineering and engenders knowledge discovery with a new paradigm in many areas because it enables “virtual experiments” and helps focus physical experiments to reduce or eliminate trial-end-error laboratory-based approaches. Further, it teaches students to solve complex problems with prevailing computer technology.
The CSE graduate concentration is designed to provide graduate students at both the Masters and PhD levels with a solid base in problem-solving using computation as a major tool for modeling complicated problems in science and engineering. This concentration is not part of the MEng in Engineering degree program.
This concentration requires students to complete 16 graduate credit hours. Courses taken toward this concentration will count towards the student’s graduate degree for students enrolled in:
Actuarial Science, MS
Aerospace Engineering, MS|Aerospace Engineering, PhD
Agricultural & Biological Engineering, MS|Agricultural & Biological Engineering, PhD
Applied Mathematics, MS
Astronomy, PhD
Atmospheric Sciences, MS|Atmospheric Sciences, PhD
Bioengineering, PhD
Biology: Ecology, Ethology, and Evolution, MS|Biology: Ecology, Ethology, and Evolution, PhD
Biophysics & Quantitative Biology, PhD
Chemical Engineering, PhD
Chemistry, PhD
Civil Engineering, MS|Civil Engineering, PhD
Computer Science, MCS|Computer Science, MS|Computer Science, PhD
Electrical & Computer Engineering, MS|Electrical & Computer Engineering, PhD
Entomology, MS|Entomology, PhD
Environmental Engineering in Civil Engineering, MS|Environmental Engineering in Civil Engineering, PhD
Financial Engineering, MS
Geography, MS|Geography, PhD
Industrial Engineering, MS
Materials Science & Engineering, MS|Materials Science & Engineering, PhD
Mathematics, MS|Mathematics, PhD
Mechanical Engineering, MS|Mechanical Engineering, PhD
Nuclear, Plasma, & Radiological Engineering, MS|Nuclear, Plasma, & Radiological Engineering, PhD
Physics, PhD
Plant Biology, MS|Plant Biology, PhD
Statistics, PhD
Systems & Entrepreneurial Engineering, MS
Teaching of Mathematics MS
Theoretical & Applied Mechanics, MS|Theoretical & Applied Mechanics, PhD
Admission
Students wishing to enroll in the Computational Science & Engineering Concentration should follow the enrollment procedure on the program's Web site.
for the graduate concentration in Computational Science & Engineering
For more information regarding the CSE Graduate Concentration, visit the Computational Science and Engineering website, or contact the CSE Office at 217-333-3247 or cse@cse.illinois.edu.
| Code | Title | Hours |
|---|---|---|
| Core Course Work: Complete two courses (4 hours each) from the list below. | 8 | |
| Numerical Analysis | ||
| Parallel Progrmg: Sci & Engrg | ||
| Applied Parallel Programming | ||
| Numerical Methods for PDEs | ||
| Scientific Visualization | ||
| Computing Elective | 8 | |
Complete two courses (4 hours each) from the approved list. The application coursework must be distinct from the core courses (no double-counting is allowed). | ||
| Total Hours | 16 | |
| Additional Requirement | ||
M.S. and Ph.D. Thesis Requirement: The graduate thesis must have a significant computational component, and the thesis committee must include at least one CSE-affiliated faculty. | ||
M.S., Non-thesis Requirement: Must complete a 4- hour independent study/Capstone Project course, where the project is supervised by a CSE-affiliated faculty. The independent study project must comprise sufficient computational work, to be designed in consultation with the faculty supervisor overseeing the independent study. | ||
for the graduate concentration in Computational Science & Engineering