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Master · 2 years

Data Science

Solve industrial-scale problems using advanced analytics, deep learning, and high-performance computing. This master's program combines research mathematics and big data engineering.

Language
English
Tuition
4,020,000 ₸

About the program

Build industrial-scale data solutions

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.

What you will learn

  • Build advanced machine learning models
  • Design and train neural networks
  • Process large volumes of data
  • Apply high-performance computing
  • Perform parallel computing with MPI
  • Apply Bayesian statistics
  • Solve inverse problems using ML methods
  • Conduct scientific research on data

Учебный план

Что вы будете изучать

From advanced statistics and mathematical modeling to deep learning, parallel computing, and applied research.

1 year

Models and data analysis

  1. 01 Machine Learning 1 and 2
  2. 02 Advanced data analysis
  3. 03 Python and R for data analysis
  4. 04 Methods of mathematical modeling
  5. 05 Optimization Methods for Data Science
  6. 06 Exploratory data analysis and visualization
2 year

Computing and deep learning

  1. 01 Applied deep learning
  2. 02 Retraining neural networks and data augmentation
  3. 03 Parallel computing
  4. 04 High-performance computing
  5. 05 Finite difference methods
  6. 06 Machine learning for solving inverse problems

Career

Where graduates work

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,

  • Senior Data Scientist
  • Machine Learning Engineer
  • Deep Learning Engineer
  • Big Data Engineer
  • Research Data Scientist
  • HPC Engineer
  • Research Fellow
  • University lecturer
  • Data Scientist
  • Senior Data Analyst
  • Machine Learning Engineer
  • Data Engineer
  • Big Data Specialist
  • Data Architect
  • BI Analyst
  • BI Developer
  • predictive analytics specialist
  • developer of recommender and intelligent systems
  • risk modeling specialist
  • Project Manager in the field of data and artificial intelligence
  • Research Fellow in Data Analysis and Machine Learning
  • Graduates work in:

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