Engineering & Natural Sciences​




Master of Science in Mathematics

Program length

2 years




BSc in Mathematics

Program description

This program is based on a student-centered approach which builds upon the existing knowledge of Mathematics and further expands the horizons of mathematical knowledge. The program reflects on the active subjects of contemporary mathematics and equips students with skill sets for the future. It also opens new scientific perspectives in the chosen area of specialization.

Specifically, it aims to prepare postgraduates for successful entry to PhD programs in either applied or pure Mathematics, develop experts to work in industry as applied mathematicians or data scientists, produce academics with innovative problem-solving skills in their area of expertise, equip graduates with state-of–the-art of the research in their specialized area to develop strong computational skills, provide opportunities for inclusive learning through a distance learning program.

Learning outcomes

  • Demonstrating mastery of global concepts of theory and practice in modern mathematics
  • Analyzing theoretical and applied problems and utilize necessary mathematical techniques
    to develop solutions
  • Conducting independent inquiry and develop a creative work, evidenced by a Master’s thesis
    and research publications
  • Demonstrating abilities in the critical analysis and quantitative reasoning of global
    problems arising in Mathematics
  • Demonstrating advanced knowledge and understanding of their area of specialization
  • Communicating mathematical ideas to a mathematics audience both in writing and presentation form.

Compulsory & elective modules (courses)

Compulsory courses:

Advanced probability and statistics
Algebraic structures
Research Tools and Methods
Master’s scientific research work 1
History and Philosophy of Science
Psychology of Management
Measure theory and real analysis
Master’s scientific research work 2
Pedagogical Practice
Higher School Pedagogy
Foreign Language (professional)
Master’s scientific research work 3
Master’s scientific research work 4
Research Practice
Registration and defense of master’s degree dissertation

Elective courses:
Data Collection, Wrangling, Analysis and Visualization
Applied mathematical programming
Introduction to Topology
Partial differential equations and its applications
Mathematical statistics
Contemporary model theory
Neural networks
Elements of algebraic geometry
Data mining
Selected topics of differential equations
Contemporary number theory
Methods of mathematical modeling and computational technology
Combinatorial enumeration
Operator equations
Fundamental solutions of equations of mathematical physics
Representation Theory
Convex analysis and optimization



This course provides a pathway to PhD study programs in mathematics as well as in data science.
Gives opportunity to become an instructor in Higher Educational Institutions.
May become experts to work in industry as applied mathematicians or data scientists

Student Profile

Males: 15%
Females: 55%
International Students: 0%
Language of instruction: English

Program coordinator

Dr. Shirali Kadyrov




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