Programs | Advanced Combinatorics
Master's program
English taught
120 ECTS
4 full-time semesters
435 000 rubles per year

Program Overview

The program is available to study online.

This program is focused on the modern aspects of combinatorics (discrete mathematics) and its applications in computer science and in the theory of complex networks. Students both study advanced state-of-the-art methods used in discrete mathematics and foster intuition of working with discrete objects and models and do research in various topics of discrete mathematics – either pure or applied

Program curriculum

Prof. Andrey Raigorodskiy, Phystech School director, about Master's program 'Advanced Combinatorics'

Core Subjects

Random Graphs
Advanced Graph Theory
Computability and Complexity
Combinatorial Geometry
Artificial Intelligence

Career Tracks

The program provides various career opportunities thanks to training up-to-date skills in different fields. In the framework of the program students do researches in MIPT labs and partner companies and can continue science development on PhD level. After graduation you can start the fastest career track for a successful future in companies and public sector

Spheres for future employment:

Program in Faces

  • Meet Dr. Raigorodskiy

    Meet Dr. Raigorodskiy

    Program coordinator,
    Phystech School director


TOP 5 Skills to Master

Data Analysis
Big Data
Game Theory

Research & Development

Science in Phystech

The School of Applied Mathematics and Informatics gathers all the most up-to-date competences in the field of mathematics, computer science and their applications. Students have opportunity to take advantage of interaction both with the leading research institutes of the Russian Academy of Sciences, the largest IT companies (Yandex, ABBYY, 1C, Sbertech, RVC, Akronis, Tinkoff Bank) and application laboratories located right on campus and having many scientific and industrial partners around the world

Basic tracks

  • Network applications
  • Machine learning
  • Robotics
  • Data analysis and predictive modeling
  • Experimental economics & applied computational geophysics

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