The computational mathematics degree emphasizes problem solving using mathematical models to identify solutions in business, science, engineering, and more.
Students focus on graph theory, matrix, linear, and abstract algebra. Coursework in areas of analysis including calculus, differential equations, real variables, and probability.
- Computer Skills: Languages: C++, Java, Python
- Software: LaTeX, Mathematica, MATLAB, Maple, Minitab
- Operating Systems/Environments: UNIX, VMS, Mac OS, Windows
Program facilities equipment
Students have access to programming and statistical and simulation languages, graphics software and design tools on a variety of platforms. Symbolic computation and statistical laboratories are also available.
Program job titles reported
Advanced Concepts and Methods Associate Engineer, Data Scientist, Game Designer, Software Engineer
Select program hiring partners
Apple, Aristocrat Gaming Technologies, BlocWatch, FujiFilm North America Corp, Google Inc, Infiswift Technologies, IP.com, LendingPoint Inc., M&T Bank, MassMutual, Obsidian Systems, Pratt & Whitney, Ticom Geomatics - A CACI, Inc. Subsidiary, Vertex, Inc.
|Outcome||% of Students|
|Full-time Graduate Study||33.00%|
What makes an RIT science and math education exceptional? It’s the ability to complete science and math co-ops and gain real-world experience that sets you apart. Co-ops in the College of Science include cooperative education and internship experiences in industry and health care settings, as well as research in an academic, industry, or national lab. These are not only possible at RIT, but passionately encouraged.
Cooperative education, or co-op for short, is full-time, paid work experience in your field of study. And it sets RIT graduates apart from their competitors. It’s exposure–early and often–to a variety of professional work environments, career paths, and industries. RIT co-op is designed for your success.
Although cooperative education is optional for computational mathematics students, it may be used to fulfill the experiential learning component of the program. Students have worked in a variety of settings on problem-solving teams with engineers, biologists, computer scientists, physicists, and marketing specialists.