Models and data analysis
- 01 Machine Learning 1 and 2
- 02 Advanced data analysis
- 03 Python and R for data analysis
- 04 Methods of mathematical modeling
- 05 Optimization Methods for Data Science
- 06 Exploratory data analysis and visualization
Solve industrial-scale problems using advanced analytics, deep learning, and high-performance computing. This master's program combines research mathematics and big data engineering.
About the program
Learn to process large volumes of data, design deep learning models, and conduct computational experiments. You'll master HPC, parallel computing, advanced statistics, and methods for solving complex applied problems.
Учебный план
From advanced statistics and mathematical modeling to deep learning, parallel computing, and applied research.
Career
Graduates create industrial data analysis and processing systems, conduct research, and teach at higher education institutions. Graduates of the Master's program in Data Science can work in IT companies, banks and financial institutions, the telecommunications industry, e-commerce, industry, healthcare, government agencies, universities, and research centers. Teacher of disciplines in the fields of data analysis, programming, and artificial intelligence. Graduates will be able to design and implement complex data-based solutions, develop and evaluate machine learning models, organize the processing of large data sets, manage analytical projects, and conduct scientific research. The program also develops competencies for continuing education in doctoral studies and an academic career. TOO "Ernst & Young", TOO Institute of the Ionosphere, JSC Air Astana, JSC Kaspi Bank, NISh FMS Almaty, JSC MUIT, JSC Insurance Company Jusan Garant, JSC First Heartland Jusan Bank, JSC Halyk Bank of Kazakhstan, TOO Kazakhtelecom,
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