Applied Mathematics
Degrees
This program builds advanced skills in mathematical modeling and analysis, equipping students to tackle complex problems across engineering, finance, and the sciences.
As a graduate program in Sciences, Applied Mathematics prepares students through a blend of core theory, hands-on coursework, and applied or research projects, guided by faculty active in the field.
What You'll Learn
- Differential equations and dynamical systems
- Numerical analysis and scientific computing
- Optimization
- Probability and stochastic processes
Sample Courses
- Applied Dynamical Systems
- Numerical Methods
- Convex Optimization
- Stochastic Processes
- Research Seminar
Learning Outcomes
Graduates of this program will be able to:
- Formulate and analyze mathematical models of real-world systems
- Implement numerical methods to solve complex equations computationally
- Communicate mathematical results to both technical and non-technical audiences
Career Paths
Graduates go on to roles such as Quantitative analyst, Data scientist, Research mathematician, and Operations research analyst.
Admission Notes
Applicants typically hold a bachelor's degree in a related field and are asked to submit a statement of purpose, academic transcripts, and letters of recommendation; standardized test requirements vary by department.
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