MATHEMATICS
MASTER’S
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Degree
Master of Science in Mathematics
Program length
2 years
ECTS (кредиты)
120
Webinar
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.
Elementary Differential Equations (5 ECTS);
Introduction to Real Analysis (5 ECTS);
Linear Algebra (5 ECTS);
Probability Theory and Mathematical Statistics (5 ECTS);
Total: 20 ECTS
There is no need to study prerequisite subjects if your Bachelor degree (major) is in relative speciality.
- Mathematical analysis;
- Differential Equations
- 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 courses: Advanced probability and statistics | Elective courses: Data Collection, Wrangling, Analysis and Visualization |
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
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.
Elementary Differential Equations (5 ECTS);
Introduction to Real Analysis (5 ECTS);
Linear Algebra (5 ECTS);
Probability Theory and Mathematical Statistics (5 ECTS);
Total: 20 ECTS
There is no need to study prerequisite subjects if your Bachelor degree (major) is in relative speciality.
- Mathematical analysis;
- Differential Equations
- 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 courses: Advanced probability and statistics |
Elective courses: Data Collection, Wrangling, Analysis and Visualization |
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
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