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.


Applied Mathematics and Computational Science Core (9)
MATH 475Probability3
MATH 522Mathematical Modeling3
or MATH 564 Regression
MATH 577Computational Mathematics I3
Business and Professional Core (3)
SCI 511Project Management3
or SCI 522 Public Engagement for Scientists
Capstone Professional Experience (6-9) 1
MATH 523Case Studies and Project Design in Applied Mathematics3-6
or MATH 592 Internship in Applied Mathematics
MATH 594Professional Master's Project3
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 Problems3
Partial Differential Equations
Monte Carlo Methods3
Computational Mathematics II3
Finite Element Method3
Numerical Methods for Partial Differential Equations3
Topics in Computer Science3-12
Introduction to Stochastic Processes3
Introduction to Mathematical Finance3
Stochastic Processes3
Mathematical Finance I3
Mathematical Finance II3
Statistical and Data Analytics
Machine Learning in Finance: From Theory to Practice 3
Introduction to Time Series3
Mathematical Statistics3
Monte Carlo Methods3
Mathematical Methods for Algorithmic Trading3
Advanced Design of Experiments3
Statistical Learning3
Bayesian Computational Statistics3
Discrete Mathematics and Optimization
Optimization I3
Discrete Applied Mathematics I3
Modern Methods in Discrete Applied Mathematics3
Total Credit Hours27-33

Minimum degree credits required: 30

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.