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Computational Data Science and Machine Learning
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| Group of educational programs | CT disciplines |
| M094 Information Technology | Algorithms and data structures - Databases |
legal entities
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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.
The educational program “Computational Data Science and Machine Learning” is designed to prepare highly qualified specialists in data analytics, machine learning, artificial intelligence, and intelligent computing systems for digital transformation and Industry 4.0. The program has been developed in accordance with international educational standards, current IT market requirements, and the latest trends in digital technologies.
Within the program, master's students study computational data analysis, mathematical modeling, machine learning and deep learning, big data processing, computer vision, natural language processing, generative artificial intelligence, cloud and distributed computing, as well as modern approaches to the design and implementation of intelligent digital solutions. The curriculum includes courses in machine learning, big data analytics and processing, natural language processing, generative artificial intelligence, computer vision, cloud computing, business intelligence, intelligent systems design, and other advanced areas of Data Science and Artificial Intelligence.
The objective of the educational program is to prepare specialists capable of developing and implementing intelligent information systems, analytical platforms, AI solutions, machine learning systems, and big data processing systems for various sectors of the economy, science, and the digital industry.
You will:
- develop and implement intelligent AI systems and analytical platforms;
- apply machine learning and data analytics methods to solve practical problems;
- create deep learning models and recommendation systems;
- work with Big Data and distributed computing platforms;
- design and maintain intelligent digital solutions;
- conduct research in the fields of Data Science and Artificial Intelligence;
- use modern MLOps, Cloud Computing, and Business Intelligence technologies.
During their studies, master's students complete research, teaching, and professional internships in IT companies, analytical centers, research organizations, and industrial enterprises related to digital technologies and artificial intelligence.
Graduates of the program work as AI Developers, Researchers, BI Analysts, Machine Learning Engineers, Big Data Analysts, NLP Engineers, Data Analysts, and Artificial Intelligence Specialists in IT companies, research centers, higher education institutions, industrial and technology organizations. Graduates also have the opportunity to continue their studies at the doctoral level.