Faculty of Computer Sciences

MP "Applied Mathematics"

Educational Field 8.04030101 “Applied Mathematics”

Qualification granted

Master in the field of Applied Mathematics

Qualification level

Master (second level of higher education)

Special Regulations for Recognition of Prior Education (formal, non-formal, or non-certificate)

Bachelor’s degree state diploma issued by a higher educational institution with accreditation levels III-IV

Special Requirements for Admission

Enrollment is based on the general terms of admission to the Master programs at the NaUKMA.

Program Profile

The Master Program in Applied Mathematics offers deeper studying of mathematical methods that are widely used in various areas of human activities, in particular, in sciences, economic, computer, and social sciences. This program is aimed at the preparation of specialists capable of qualitative analysis, building various complicated mathematical models and doing precise calculations, as well as specialists capable of applying the mathematical apparatus in sciences, engineering, computer sciences, economics, finances, sociology, and insurance business.
This specialty program was designed to provide thorough studying of modern computer technologies allowing for efficient implementation of developed algorithms for tasks solution, which, in its turn, provides for training of specialists who master methods of applied mathematics and who are well-acquainted with contemporary computer technologies.

The preparation of a Master in Applied Linguistics is conceptually based upon the dynamic systems existing both in sciences and in economic and humanities fields. The program basic courses,  such as “Dynamic Systems”, “Images Recognition”, “Applied Algebra and Theory of Numbers”, and “Technologies of Numerical Modeling”, are directed at development of research skills. Studying these disciplines enables the students to extend the range of application of the earlier developed mathematical apparatus and learn the main principles if mathematical modeling with the use of modern computer technologies. The research internship practice offered by the program also aims at the development of research skills.

The assistant internship practice, also planned in this program curriculum, is aimed at the development of teaching skills. Besides, the preparation of specialists in this field also includes the mastery of specialized English.
The curriculum offers 120 ECTS credits in total, including mandatory disciplines and internship: humanities, social and economic training (10 credits); professional and practical training (66 ECTS credits); elective disciplines (24 ECTS credits); and State attestation (20 ECTS credits).

Key Learning Outcomes

Knowledge in the Subject Area:

  • Basic principles on the use of mathematical methods in natural sciences, computer, economic sciences, sociology;
  • new approaches to solving nonlinear equations and nonlinear optimization
  • techniques of numerical simulation;
  • foundations of artificial intelligence and information retrieval techniques;
  • specialized English; and
  • methods of training and the training of mathematical sciences.

Practical Skills in the Subject Area:

  • Ability to collaborate with experts in other fields on production problems and creating an appropriate mathematical model in the sector;
  • ability to offer efficient algorithms for solving mathematical problems and to evaluate their time and complexity requirements;
  • ability to create an effective computer code for the proposed algorithm;
  • ability to articulate mathematical, physical and other assumptions based on the mathematical model of a phenomenon;
  • ability to describe the scope of application of a proposed mathematical model and methods of problem solution; and
  • ability to formulate conclusions and recommendations arising from the conducted mathematical modeling and calculations.

Teaching skills:

  • Preparing and delivery of lectures and seminars on mathematical disciplines in higher education system;
  • knowledge about modern methods of training in teaching mathematical subjects;
  • development of teaching classes in mathematical subjects; and
  • use of modern information technologies in teaching.

Professional Graduates’ Profile and Potential Positions

A Master in Applied Mathematics provides training of specialists for sciences, economics, and computer fields, as well as for various spheres in sociology, insurance business, engineering, higher educational and research institutions.

Graduates of the master's program in applied mathematics can occupy the following job positions: a junior researcher (industrial computing), a mathematics and operations research analyst, an engineer, a technician or a senior technician (in research institutions or research laboratories); an assistant or a lecturer (in higher educational institutions), and other specialists (in companies, firms, or laboratories).

Access to Further Education

A Master in Applied Mathematics can continue studies in a post-graduate (PhD) school.

Regulations for Examinations, Assessment and Grades

The students’ knowledge is assessed under the 100-point rating system, in accordance with “The NaUKMA’s Provisions for Knowledge Assessment Rating System”.

Graduation Requirements

Complete academic program of 120 ECTS credits and successfully defended Master thesis.

Format of Education

2-year full-time program.

Head of Program

Doctor of Physical and Mathematical Sciences, Chair of Department of Mathematics, professor Yuri V. Bodnarchuk.