About the training program
The program combines fundamental mathematical training with applied IT disciplines. Students gain skills in working with a wide range of mathematical models, including engineering, physical, and economic applications. Key modern technologies are also studied: mathematical foundations of digital signal and image processing, computer vision, parallel programming, neural networks, and deep learning. Graduates are in demand in the IT field, scientific research, and engineering.
What do graduates do?
Graduates of the program successfully build careers as: - Data analysts and machine learning engineers in the IT sector, banks; - Developers of computer vision algorithms and data processing engineers in companies engaged in autonomous systems, security, medicine, and industry; - Specialists in mathematical modeling and researchers in research institutes, design bureaus, and analytical centers; - System analysts in the financial sector, where the construction of complex statistical models is required.
