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.
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, 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 522||Mathematical Modeling||3|
|or MATH 564||Applied Statistics|
|MATH 577||Computational Mathematics I||3|
|Business and Professional Core||(3)|
|SCI 511||Project Management||3|
|or SCI 522||Public Engagement Scientists|
|Capstone Professional Experience||(6-9)|
|MATH 523||Case Studies & Project Design||3-6|
|or MATH 592||Internship in Applied Math|
|MATH 594||Professional Master's Project||3|
|Select a minimum of three courses from the following:||9-12|
|Fourier Sers&Boudary-Val Probs||3|
or MATH 489
|Partial Differential Equations|
|Monte Carlo Methods in Fin||3|
|Computational Mathematics II||3|
|Finite Element Method||3|
|Num Meth for Partial Diff Equa||3|
|Topics in Computer Science||3-12|
|Stochastic Modeling and Analysis|
|Intro to Stochastic Processes||3|
|Intro to Mathematical Finance||3|
|Mathematical Finance I||3|
|Mathematical Finance II||3|
|Statistical and Data Analytics|
|Machine Learning in Finance:||3|
|Introduction to Time Series||3|
|Monte Carlo Methods in Fin||3|
|Adv Design of Experiments||3|
|Bayesian Computational Stats||3|
|Discrete Mathematics and Optimization|
|Discrete Applied Mathematics I||3|
|Discrete Applied Math II||3|
All Graduate College requirements must be satisfied. Specific departmental requirements follow.
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.
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.