Master of Applied Mathematics
The Master of Applied Mathematics program at Illinois Institute of Technology is a non-thesis professional master’s degree program that provides graduates with mathematics training for technology-based jobs in business, industry, or government. Graduates develop state-of-the-art skills in modeling, analysis, and computation needed to solve real-world problems. The program requires students to learn writing and communication skills along with teamwork and project management skills. The program can typically be completed in 15 months, with three regular term semesters and one summer semester.
Curriculum
| Code | Title | Credit Hours |
|---|---|---|
| Applied Mathematics and Computational Science Core | (9) | |
| MATH 475 | Probability | 3 |
| or MATH 563 | Mathematical Statistics | |
| MATH 522 | Mathematical Modeling | 3 |
| MATH 577 | Computational Mathematics I | 3 |
| Business and Professional Core | (6) | |
| SCI 511 | Project Management | 3 |
| SCI 522 | Public Engagement for Scientists | 3 |
| Capstone Professional Experience | (9) | |
| MATH 523 | Case Studies and Project Design in Applied Mathematics | 6 |
| or MATH 592 | Internship in Applied Mathematics | |
| MATH 594 | Professional Master's Project | 3 |
| Elective Courses | (6) | |
| Select a minimum of two courses from the following: | 6 | |
| Advanced Computation | ||
| Partial Differential Equations | 3 | |
| Monte Carlo Methods in Finance | 3 | |
| Computational Mathematics II | 3 | |
| Finite Element Method | 3 | |
| Numerical Methods for Partial Differential Equations | 3 | |
| Topics in Computer Science | 3-12 | |
| Computational Finance | 3 | |
| Stochastic Modeling and Analysis | ||
| Introduction to Stochastic Processes | 3 | |
| Introduction to Mathematical Finance | 3 | |
| Stochastic Processes | 3 | |
| Mathematical Finance I | 3 | |
| Mathematical Finance II | 3 | |
| Statistical and Data Analytics | ||
| Mathematical Statistics | 3 | |
| Applied Statistics | 3 | |
| Monte Carlo Methods in Finance | 3 | |
| Advanced Design of Experiments | 3 | |
| Discrete Mathematics and Optimization | ||
| Optimization I | 3 | |
| Discrete Applied Mathematics I | 3 | |
| Discrete Applied Mathematics II | 3 | |
| Total Credit Hours | 30 | |
Degree Requirements
All Graduate College requirements must be satisfied. Specific departmental requirements follow.
Credit Requirements
The student must complete 30 credit hours and maintain a 3.0/4.0 GPA. There are 24 credit hours of required, core courses. Six credit hours of electives, selected in consultation with, and approval of, the program director are required. The program may include a maximum of 9 credit hours at the 400-level.
Capstone Professional Experience
The capstone consists of a 6 credit hour course in case studies and project management or an internship in applied mathematics.
Master's Project
The project, which is 3 credit hours of MATH 594, is conducted under the supervision of a faculty member or an industrial partner.
Course Substitutions and Prerequisites
Course substitutions and needed prerequisite courses may be permitted, subject to the approval of the program director.
