Summary of Degree Programme
01.04.01 Mathematics
No
2 года 
Full-time, 120
ENG
Instruction in English
Master
No
With online tools
2026/2027 Academic year
Mathematics
KEO - 2 -Able to independently find ideas and research methods to solve theoretical and applied problems
KEO - 3 - Able to apply and develop methods of mathematical and algorithmic modeling to solve theoretical and applied problems
KEO - 4 - Able to perceive and interpret mathematical and natural science texts, work with modern search engines of scientific information and archives of scientific materials
KEO - 5 - Able to publicly present own scientific results
KEO - 6 - Able to systematize and present educational material, able to listen attentively, patiently and impartially to problem solutions and provide methodical assistance in independent problem solving
KEO -7 - Capable of enlightenment and educational activities, ready to promote and popularise scientific achievements
KEO - 8 - Able to carry out methodological and expert work in the field of mathematics
PC - 2 - Able to use modern mathematical tools and computer technologies in scientific work in the chosen field of study.
PC -3 - Able to work with scientific articles and monographs.
Key seminars: A mandatory element of the module is a mentor seminar. The module also includes research seminars.
Practice: Module consists of two sections. Project practice includes a project on pedagogy, a research project. The research practice includes the preparation of the course work and the preparation of the final qualifying work.
Major: Module elements include both compulsory and elective disciplines. The elective part includes mathematical and biological blocks.
MagoLego: Module elements are selected from the university-wide pool of Master's degree disciplines. Disciplines can correspond to any field of training.
State final certification: Defense of the final qualifying work.
2025/2026 Academic year
Mathematics
KEO - 2 -Able to independently find ideas and research methods to solve theoretical and applied problems
KEO - 3 - Able to apply and develop methods of mathematical and algorithmic modeling to solve theoretical and applied problems
KEO - 4 - Able to perceive and interpret mathematical and natural science texts, work with modern search engines of scientific information and archives of scientific materials
KEO - 5 - Able to publicly present own scientific results
KEO - 6 - Able to systematize and present educational material, able to listen attentively, patiently and impartially to problem solutions and provide methodical assistance in independent problem solving
KEO -7 - Capable of enlightenment and educational activities, ready to promote and popularise scientific achievements
KEO - 8 - Able to carry out methodological and expert work in the field of mathematics
PC - 2 - Able to use modern mathematical apparatus and computer technologies in scientific work on the chosen speciality
PC -3 - Able to work with scientific articles and monographs
PC -4 - Able to present and adapt mathematical knowledge in a variety of ways to suit the level of the audience
PC - 5 - Capable of teaching physical and mathematical disciplines and computer science
Key seminars: A mandatory element of the module is a mentor seminar. The module also includes research seminars.
Practice: Module consists of two sections. Project practice includes a project on pedagogy, a research project. The research practice includes the preparation of the course work and the preparation of the final qualifying work.
Major: Module elements include both compulsory and elective disciplines. The elective part includes mathematical and biological blocks.
MagoLego: Module elements are selected from the university-wide pool of Master's degree disciplines. Disciplines can correspond to any field of training.
State final certification: Defense of the final qualifying work.
Double Degree Program: An opportunity to study under a program developed jointly with the University of Passau (Germany). It enables students to earn two master's degrees in two years: Master of Mathematics (HSE University) and Master of Computational Mathematics (University of Passau).
Global Competitiveness: Instruction is conducted entirely in English, and its consistent use gives graduates an advantage in the international job market.
Connection to Cutting-Edge Research: Close collaboration with the International Laboratory of Dynamical Systems and Applications (established under the Russian Government’s "Megagrant" No. 220). Students are actively involved in the laboratory's work and grant-funded projects.
Individual Supervision: Exceptional opportunities for independent research under the guidance of leading Russian and international scientists, as well as participation in regular seminars and international conferences.
Extensive International Connections: Active research collaboration with global leaders in the field of dynamical systems theory (Germany, Spain, the UK, France, the USA, the Netherlands, Brazil, Mexico, and China).
The Master’s program in Mathematics trains high-level researchers, analysts, and developers capable of solving complex scientific and applied problems. The program combines fundamental mathematical training with advanced computational methods, creating a strong foundation for a career in science, high-tech industries, and knowledge-intensive businesses.
Professional Career Paths:
- Research Scientist in research centers and laboratories
- Data Scientist / ML Engineer
- Mathematical Modeler / Algorithm Developer
- Quantitative Analyst / Actuary in finance and insurance
- Higher Education Lecturer
Key Competencies of the Graduate
- Fundamental mathematical research: conducting theoretical investigations, constructing rigorous proofs, and developing new mathematical theories.
- Mathematical modeling: creating and analyzing mathematical models for physical, economic, biological, and engineering processes.
- Numerical methods and algorithms: developing, analyzing, and implementing efficient numerical methods for complex equations and optimization tasks.
- Data analysis and machine learning: applying statistical methods, probability theory, and modern algorithms to process large datasets.
- Scientific and pedagogical activity: presenting research results at international conferences, preparing scientific publications, and teaching mathematical disciplines.
This degree programme of HSE University is adapted for students with special educational needs (SEN) and disabilities. Special assistive technology and teaching aids are used for collective and individual learning of students with SEN and disabilities. The specific adaptive features of the programme are listed in each subject's full syllabus and are available to students through the online Learning Management System.
All documents of the degree programme are stored electronically on this website. Curricula, calendar plans, and syllabi are developed and approved electronically in corporate information systems. Their current versions are automatically published on the website of the degree programme. Up-to-date teaching and learning guides, assessment tools, and other relevant documents are stored on the website of the degree programme in accordance with the local regulatory acts of HSE University.
I hereby confirm that the degree programme documents posted on this website are fully up-to-date.
Vice Rector Sergey Yu. Roshchin
