The programme aims at preparing researchers in the most dynamic and high-demand fields related to mathematics and computer science. Graduates of the Master's programme may pursue a practical or research-oriented career, both of which are popular in one of the following areas:
- carrying out analysis in the industry, consultancy, various types of associations and foundations, government agencies, banks, investment funds, etc.;
- expert activities related to methodological development, probabilistic modeling, statistical estimates, transport planning, optimization, and forecasting tasks, as well as coming up with efficient methods, control technologies, and data analysis in a variety of professional specializations;
- providing technical support for analytical and consulting groups engaged in machine learning, engineering design, financial analysis, modeling, and optimization of transport networks;
- participating in management teams of analytical, research, and administrative departments.
Graduates of the Math of Machine Learning Master's programme will receive sufficient instruction to continue with studies and research at leading global and Russian centers of applied mathematics, mathematical modeling, and computer science, such as the Laboratory of Stochastic Algorithms and Nonparametric Statistics Institute for Weierstrass Applied Analysis and Stochastics and the Faculty of Mathematics, Humboldt University (Berlin), Catholic University of Louvain (Belgium), Joseph Fourier University (Grenoble), Max Planck Institute for Mathematics (Bonn), University of Mannheim, ENSAE ParisTech (Paris), and Steklov Mathematical Institute (Moscow). Furthermore, many leading companies, such as Yandex, Google, Microsoft, Bosch, Huawei, and Siemens, are very interested in experts with such a background.