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