Applied mathematicians are involved in more fields than most of us know. We come in contact with businesses or companies built upon and sustained by the expertise of applied mathematicians almost every day. For example, applied mathematicians stand behind every online purchase that we make, every train we take, every weather report we receive, every video game we play, and every digital image we view. Renewable energy calculations, natural disaster simulations, computer animation, digital imaging, epidemiological modeling, pharmaceutical manufacturing, financial services, and investment managing are all fields that require high-level mathematical skills. Mathematical theories and techniques are used to innovate and to create, to predict and to solve. Since problem-solving is vital in almost every field, those who are skilled in this area are in increasingly high demand in a multitude of different jobs (USA Today). According the Society of Industrial and Applied Mathematics, "The very idea of a career in mathematics has evolved and diversified," and applied mathematicians hold a variety of unexpected job titles such as employee benefits consultant, electronic commerce specialist, imaging scientist, and risk analyst.
The Master of Applied Mathematics program at IIT 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.
Students are responsible for following all departmental procedures as well as the general requirements of IIT Graduate College. Specific degree requirements include 32 credit hours of approved courses and a minimum grade point average (GPA) of 3.0. These credit hours include:
- 23 credit hours of required courses from the core sequence which includes:
- a capstone professional experience consisting of a six credit hour course in case studies and project design, or an internship in applied mathematics.
- a three credit hour professional master's project (MATH 594) under the supervision of a faculty member or an industrial partner.
- Nine credit hours of electives selected in consultation with, and approval of, the director of the program. These nine credit hours may be taken from up to four different subject areas or as few as one subject area. See the list of approved electives below.
- Up to nine hours of 400 level Applied Mathematics courses may be included subject to approval of Program Director.
The director of the program serves as temporary academic adviser for all newly admitted graduate students until an appropriate project supervisor is selected.
Core Sequences (23 hours)
|Applied Math and Computational Science Core (9 hours)|
|MATH 475||Probability -or- MATH 563 Statistics|
|MATH 577||Computational Mathematics|
|MATH 522||Mathematical Modeling|
|Business and Professional Core (5 hours)|
|SCI 522||Public Engagement for Scientists|
|CHEM 511||Business Principles-Project Management|
|Capstone Professional Experience (9 hours)|
|MATH 523||Case Studies and Project Design (6 hours) -or- MATH 592 Internship in Applied Mathematics (6 hours)|
|MATH 594||Professional Master's Project (3 hours)|
Electives (9 hours)
- MATH 578 - Computational Math II
- MATH 489 - PDE
- MATH 565 - Monte Carlo Methods
- MATH 581 - Theory of Finite Elements
- MATH 589 - Numerical Methods for PDEs
- CSC 595 - Advanced Scientific Computing
- MSF 526 - Computational Finance
Stochastic Modeling and Analysis
- MATH 481 - Introduction to Stochastic Processes
- MATH 485 - Introduction to Mathematical Finance
- MATH 542 - Stochastic Processes
- MATH 548 - Mathematical Finance I
- MATH 582 - Mathematical Finance II
Statistical and Data Analytics
- MATH 563 - Statistics
- MATH 564 - Applied Statistics
- MATH 565 - Monte Carlo Methods
- MATH 567 - Design of Experiments
Discrete Mathematics and Optimization
- MATH 535 - Optimization
- MATH 553 - Discrete Applied Math I
- MATH 554 - Discrete Applied Math II
PLAN OF STUDY
A typical plan of study is based on a student starting in the fall semester.
Fall Semester (first year)
- MATH 475 -or- Elective
- MATH 577
- SCI 522
- MATH 522
- MATH 563 -or- Elective
- CHEM 511
- MATH 523 - Capstone course: Case Studies and Project Design
- MATH 592 - Internship in Applied Mathematics (requires approval)
Fall Semester (second year)
- MATH 594 - Professional Master's Project
- MATH elective
- MATH elective
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. They are evaluated on an individual basis, but are expected to have taken the following courses (or equivalent courses):
- Differential Equations
- Matrix or Linear Algebra
- Probability or Statistics
- Computer Programming: Matlab, C, or FORTRAN
Applicants must submit Graduate Record Examination (GRE) scores. The following minimum GRE scores are required:
- 304 (quantitative + verbal) 2.5 (analytical writing), test scores before 2011: 1100 (quantitative + verbal)
A professional statement of objectives and resume must be submitted.
At least two letters of recommendation are required.
For more information, please contact:
Charles Tier, Ph.D.
Illinois Institute of Technology
Engineering 1, Room 212, 10 W. 32nd Street, Chicago, IL 60616