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
Algorithms and data structures. Part 1	Maxim Babenko
Sampling analysis and probability theory	Andrey Raigorodsky
Programming in С++. Part 1	Fedor Korotkiy

Second semester
Machine learning. Part 1	Konstantin Vorontsov
Algorithms and data structures. Part 2	Maxim Babenko
or
Programming in С++	Fedor Korotkiy
or
Programming in Python	Philipp Sinitsyn

Third semester
Machine learning. Part 2	Konstantin Vorontsov
Software Engineering
or
Computer architecture and operating systems

Fourth semester
Machine learning in Big Data	Pavel Mezentsev, Philipp Sinitsyn, Ilya Trofimov

First semester

Second semester

Third semester

Fourth semester