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

Maxim Babenko
Andrey Raigorodsky
Philipp Sinitsyn

Second semester

Konstantin Vorontsov
Applications of mathematical statistics in machine learning
Evgeny Burnaev

Third semester

Konstantin Vorontsov
Applied analytics
Emely Dral, Viktor Kantor
David Talbot, Elena Voita
Anton Konushin

Fourth semester

No obligatory courses