Machine Learning & Data Science
  • 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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Educational Program Group

Complex testing subjects

M094 Information Technology

Algorithms and data structures

Databases

The program offers quality training of specialists in the area of data analytics and machine learning. Graduates will become professional developers of specialized software for artificial intelligence purposes.

Graduates will receive an academic master’s degree in engineering and technology after 1.5 years of study or a master’s degree in technical sciences after 2 years of study.

Mastering modern methods and models of data analysis, a machine learning paradigm and tools of distributed computing will give skills to: design, develop and maintain specialized information systems with an account of specifics of hardware and software of computer systems and networks in the field of artificial intelligence.

As part of the training, students are required to take professional, research and teaching internships. Best of the students are welcome to take a semester abroad within the academic mobility program.

Graduates will work as leading experts, developers and analysts in the divisions of data analysis, artificial intelligence and breakthrough technologies, in IT-technology parks, information technology departments within the industry, leading IT companies, government and business entities.