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, statistics, 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.
Admission Requirements
Students are required to have a bachelor's degree in mathematics, science, engineering, business, or an equivalent degree, with a minimum GPA of 3.0/4.0. Applicants are evaluated on an individual basis, but students are expected to have taken the following courses (or equivalent courses): Differential Equations, Matrix or Linear Algebra, Probability or Statistics, and a Computer Programming language (e.g. Matlab, C, Python, or R). Graduate Record Examination (GRE) scores must be submitted with the following minimum scores: 304 (quantitative + verbal), and 2.5 (analytical writing). Any applicant whose undergraduate degree was earned at an institution where the primary language of instruction is not English must submit Test of English as a Foreign Language (TOEFL), Pearson Test of English (PTE), or International English Language Testing System (IELTS) scores, which must satisfy Illinois Institute of Technology's English language proficiency test requirements (see the Graduate Admission section for more information). A professional statement of objectives must be submitted and at least one letter of recommendation is required.
Curriculum
| Code | Title | Credit Hours |
|---|---|---|
| Applied Mathematics and Computational Science Core | (9) | |
| MATH 475 | Probability | 3 |
| MATH 522 | Mathematical Modeling | 3 |
| or MATH 564 | Regression | |
| MATH 577 | Computational Mathematics I | 3 |
| Business and Professional Core | (3) | |
| SCI 511 | Project Management | 3 |
| or SCI 522 | Public Engagement for Scientists | |
| Capstone Professional Experience | (6-9) 1 | |
| MATH 523 | Case Studies and Project Design in Applied Mathematics | 3-6 |
| or MATH 592 | Internship in Applied Mathematics | |
| MATH 594 | Professional Master's Project | 3 |
| or MATH 597 | Reading and Special Projects | |
| Elective Courses | (9-12) 1 | |
| Select a minimum of three courses from the following: | 9-12 | |
| Advanced Computation | ||
| Fourier Series and Boundary-Value Problems | 3 | |
or MATH 489 | Partial Differential Equations | |
| Monte Carlo Methods | 3 | |
| Computational Mathematics II | 3 | |
| Finite Element Method | 3 | |
| Numerical Methods for Partial Differential Equations | 3 | |
| Topics in Computer Science | 3-12 | |
| 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 | ||
| Machine Learning in Finance: From Theory to Practice | 3 | |
| Introduction to Time Series | 3 | |
| Mathematical Statistics | 3 | |
| Regression | 3 | |
| Monte Carlo Methods | 3 | |
| Mathematical Methods for Algorithmic Trading | 3 | |
| Advanced Design of Experiments | 3 | |
| Statistical Learning | 3 | |
| Bayesian Computational Statistics | 3 | |
| Discrete Mathematics and Optimization | ||
| Optimization I | 3 | |
| Discrete Applied Mathematics I | 3 | |
| Modern Methods in Discrete Applied Mathematics | 3 | |
| Total Credit Hours | 27-33 | |
Minimum degree credits required: 30
- 1
- Variable credit hours should sum up to a minimum 18 credit hours so that students fulfill a minimum 30 credits together with 12 credits of core courses.
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 21 credit hours of required, core courses. Nine credit hours of electives, selected in consultation with, and approval of, the program director are required. The program may include a maximum of nine credit hours at the 400-level.
Capstone Professional Experience
The capstone consists of a six credit hour course in case studies and project management or an internship in applied mathematics.
Master's Project
The project, which is three 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.
