Applied mathematics in the digital economy
Program description
- Program purpose
The purpose of the educational program "Applied mathematics in the digital economy" is to train applied mathematicians who have a mathematical culture of thinking and are able to contribute to addressing the challenges of the digital economy using the mathematical modeling systems.
Program duration - 4 years
Program description
Potential applicants can apply for the state grant.
The proposed program is innovative, since the training involves the development of fundamental mathematical systems, methods of mathematical modeling and forecasting based on innovative information technologies. The program is unique in Kazakhstan at the undergraduate level.
Students will learn how to design, research, interpret, and optimize mathematical models for solving economic problems using modern programming languages and technologies.
This program is intended for the coordinated integration of disciplines in the field of economics, mathematics and programming with the goal to train graduates skilled in working with modern methods of data analysis (artificial intelligence/machine learning) in banks, investment, fintech, insurance and consulting companies.
Core disciplines of the program
- Game theory and operations research
- Differential equations in Economics
- Industrial programming in Java
- Modeling stochastic processes
- Multidimensional statistical methods
- Probability theory and mathematical statistics
- Applied information theory
- Algorithms and data structures
- Mathematical analysis
- Analytical geometry
- Linear algebra
- Big data basics
- Actuarial mathematics
- Machine learning
- Applied graph theory
- Computational mathematics
- Databases in the economy
Career perspectives:
- In the leading Kazakhstan and foreign companies –producers of software
- In research centers of multinational companies
- In system integrators and IT departments of large Kazakh and foreign companies and government agencies
- Risk managers
- Actuaries
- Financial and quantitative analysts, but with deeper competencies in mathematics, data analysis, and information systems principles, compared to similar programs in the education market
As part of the development of this program, there is an agreement on joint training on academic mobility with
Heriot-Watt University, Edinburgh, Great Britain (the best in the UK in "Actuarial Science"), as well as with Moscow state University named after M. V. Lomonosov, Novosibirsk state University.