Applied Mathematics, MS
for the Master of Science in Applied Mathematics
department chair: Vera Hur
director of graduate studies: Yuliy Baryshnikov
overview of admissions & requirements:
overview of grad college admissions & requirements: https://grad.illinois.edu/admissions/apply
department website: http://www.math.illinois.edu
program website: https://math.illinois.edu/admissions/graduate-program-mathematics-admissions#MS-AppliedMath
department faculty: https://math.illinois.edu/research/faculty-research and https://math.illinois.edu/directory/faculty
college website: https://las.illinois.edu/
department office: 273 Altgeld Hall, 1409 West Green Street, Urbana, IL 61801
phone: (217) 333-5749
email: math-grad@illinois.edu
The MS in Applied Mathematics program is intended for students wishing to pursue a career in applied mathematics. It is also suitable as preparation for a PhD program in Applied Mathematics. It is rare for students to enter the PhD program at the University of Illinois after finishing this degree. Students may choose one of three tracks: Optimization and Algorithms, Applications to the Sciences, or Computational Science and Engineering. This degree program requires 32 credit hours and can normally be completed in 18 months. A master's thesis is optional. Applications are accepted for Fall semester. Financial aid is generally not available.
Graduate Degree Programs in Mathematics
Actuarial Science, MS
Applied Mathematics, MS
Mathematics, MS
Predictive Analytics and Risk Management, MS
Enterprise Risk Management | Financial and Insurance Analytics
Mathematics, PhD
optional concentrations:
Actuarial Science & Risk Analytics
Computational Science and Engineering
Teaching of Mathematics, MS
for the Master of Science in Applied Mathematics
Students pursuing the M.S. in Applied Mathematics have the opportunity to customize the their studies the following ways:
- Through the Computational Science and Engineering Concentration.
- By completing the coursework for the option in Optimization and Algorithms;
- By completing the coursework for the option in Applications to the Sciences;
- By completing the coursework for the option in Computational Science and Engineering.
For additional details and requirements refer to the Department of Mathematics Graduate Guide and the Graduate College Handbook.
Thesis Option
| Code | Title | Hours |
|---|---|---|
| For all options: | ||
| Coursework to total 32 hours in MATH or ASRM (in consultation with advisor). | ||
| MATH 599 | Thesis Research | 4 |
| Choose one of these three (3) options: | ||
| Optimization and Algorithms Option | ||
| Courses from at least three (3) of the following areas: Optimization, Control Theory and Coding Theory, Combinatorics and Graph Theory, Algorithms and Theory of Computation, Statistics (including core courses listed below) | 20 | |
| Select four (4) of the following: | 12-16 | |
| Graph Theory | ||
| Intro to Combinatorics | ||
| Numerical Analysis | ||
| Algorithms | ||
| Methods of Applied Statistics | ||
| Linear Programming | ||
| Nonlinear Programming | ||
| Applications to the the Sciences Option | ||
| Select three (3) of the following: | 9-16 | |
| Dynamics & Differential Eqns | ||
| Dynamical Systems I | ||
| Partial Differential Equations | ||
| Methods of Applied Mathematics | ||
| Credit hours in a department other than Mathematics, providing substantive applications of differential equations and applied mathematics. | 8 | |
| Computational Science and Engineering Option | ||
| MATH 550 | Dynamical Systems I | 4 |
| or MATH 553 | Partial Differential Equations | |
| Choose one (1) advanced course in Algebra or Analysis: | 3-4 | |
| Intro to Abstract Algebra II | ||
| Complex Variables | ||
| Real Analysis | ||
| Complex Variables I | ||
| 12 hours from CSE courses (at least 4 in MATH, 4 not in MATH) | 12 | |
| Total Hours | 32 | |
Other Requirements
| Code | Title | Hours |
|---|---|---|
| Minimum hours required within the unit: | 20 | |
| Minimum 500-level hours required overall: | 12 (8 in Mathematics) | |
| Minimum GPA: | 3.0 | |
| Total Hours (graduate study) | 32 | |
Non-Thesis Option
| Code | Title | Hours |
|---|---|---|
| For all options: | ||
| Coursework to total 32 hours in MATH or ASRM (in consultation with advisor). | ||
| Choose one of these three (3) options: | ||
| Optimization and Algorithms Option | ||
| Courses from at least three (3) of the following areas: Optimization, Control Theory and Coding Theory, Combinatorics and Graph Theory, Algorithms and Theory of Computation, Statistics (including core courses listed below) | 20 | |
| Select four (4) of the following: | 12-16 | |
| Graph Theory | ||
| Intro to Combinatorics | ||
| Numerical Analysis | ||
| Algorithms | ||
| Methods of Applied Statistics | ||
| Linear Programming | ||
| Nonlinear Programming | ||
| Applications to the the Sciences Option | ||
| Select three (3) of the following: | 9-16 | |
| Dynamics & Differential Eqns | ||
| Dynamical Systems I | ||
| Partial Differential Equations | ||
| Methods of Applied Mathematics | ||
| Credit hours in a department other than Mathematics, providing substantive applications of differential equations and applied mathematics. | 8 | |
| Computational Science and Engineering Option | ||
| MATH 550 | Dynamical Systems I | 4 |
| or MATH 553 | Partial Differential Equations | |
| Choose one (1) advanced course in Algebra or Analysis: | 3-4 | |
| Intro to Abstract Algebra II | ||
| Complex Variables | ||
| Real Analysis | ||
| Complex Variables I | ||
| 12 hours from CSE courses (at least 4 in MATH, 4 not in MATH) | 12 | |
| Total Hours | 32 | |
Other Requirements
| Code | Title | Hours |
|---|---|---|
| Minimum hours required within the unit: | 20 | |
| Minimum 500-level hours required overall: | 12 (8 in Mathematics) | |
| Minimum GPA: | 3.0 | |
| Total Hours (graduate study) | 32 | |