Machine Learning & Data Science
Educational Program Group
D 094
  • How to fill in the application to participate in state grant contest?

    1. Before applying, select your favorite educational program at Satbayev University, corresponding to the relevant subjects in which you passed UNT.

    2. Write down for yourself the code (column “Groups of educational programs” in the table) of the group of educational programs that includes the program you have chosen.

    3. Indicate the group code and code of Satbayev University (Kazakh National Research Technical University named after K.I. Satpayev) in the application for a grant: 029.

    4. The code in "Study trajectories" column is not necessary to use. It is shown for the convenience and to compare the code of specialties of previous years (until 2019) and the new code of educational programs (“Groups of educational programs” column).

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This is an innovative educational program that produces effective researchers focused on scientific, experimental research, teaching activities in the field of data analysis, distributed computing and machine learning. The graduate is awarded an academic degree of Ph.D.

Ph.D. students are required to thoroughly study models and algorithms in the field of artificial intelligence, functioning aspects of artificial neural networks, modern approaches to machine learning, elements of fuzzy logic, theory of computational complexity and multiagent systems. Much attention is paid to the development of applied projects and commercialization of projects.

Ph.D. students will actively be involved in research projects under supervision of foreign consultants. Study plans of Ph.D. students will include a required internship at one of the leading foreign partner universities. The write-up and defense of the thesis are led by two scientific leaders, domestic and foreign.

Graduates will work as research associates, leading specialists in research laboratories, research centers, universities, IT technology parks, information technology departments in industrial production industries, leading IT companies, government and business entities, and other organizations leading research, design and educational activities in various sectors of the economy.