Course content
Below is a selection of courses offered within this program. Please note that only those regularly taught by members of our department are listed here. Each term, additional courses on specialized topics (reflecting state-of-the-art research in mathematics and data science) are also available.- Algebraic Geometry
- Algebraic Topology
- Big Data Analytics
- Calculus of variations
- Complex Geometry
- Differential Geometry
- Dirichlet Forms, Markov Processes and Semigroups
- Discrete Optimization
- Fourier Analysis
- Fractals
- Functional Analysis II
- Game Theory
- Geometric Analysis
- Graph Theory
- Harmonic Analysis
- Hilbert Space Methods
- Introduction to Data Science
- Introduction to Wavelets
- Introduction to Financial- and Insurance Mathematics
- Inverse Problems
- Mathematical Methods of Uncertainty Quantification
- Mathematical Foundations of Learning Theory
- Matrix Methods in Data Science
- Nonlinear Optimization
- Numerical Linear Algebra
- Numerical Methods for Ordinary Differential Equations (ODEs)
- Numerical Methods for Partial Differential Equations (PDEs)
- Optimization in Machine Learning
- Stochastic Analysis
- Stochastic Processes
- Time Series Analysis