Each student must pass at least three courses per semester. As such, if there are two courses in the core curriculum of a semester, the student has to select an additional elective special course. Assessment is primarily based on homework – tests and exams are conducted only for some subjects.

First semester

Anatoly Mikhalsky
Albert Shiryaev
Maxim Babenko

Second semester

Konstantin Vorontsov
Applications of mathematical statistics in machine learning
Evgeny Burnaev

Third semester

Convex analysis and optimization
Yury Dorn
Konstantin Vorontsov

Fourth semester

Viktor Lempitskiy