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Undergraduate · 4 years

Data Science

Extract patterns, predictions, and insights from large volumes of data for business and science. The program combines advanced mathematics, data analysis, machine learning, and deep learning.

Language
English
Tuition
from 1,479,000 ₸

About the program

Turn data into accurate decisions

Learn to explore data, build predictive models, and solve complex analytical problems. You'll gain a strong mathematical foundation and master Python, neural networks, reinforcement learning, and data visualization.

What you will learn

  • Research and prepare data
  • Programming in Python
  • Build machine learning models
  • Develop and train neural networks
  • Apply deep learning methods
  • Solve optimization problems
  • Visualize data in Power BI
  • Work with big data and databases

Учебный план

Что вы будете изучать

From mathematical analysis, statistics, and programming to neural networks, deep learning, and solving complex applied problems.

1 year

Mathematical base

  1. 01 Mathematical analysis
  2. 02 Linear algebra
  3. 03 Probability theory
  4. 04 Basics of programming
2 year

Data analysis

  1. 01 Statistics
  2. 02 Numerical methods
  3. 03 Python for data analysis
  4. 04 Exploratory data analysis
3 year

Machine learning

  1. 01 Machine learning
  2. 02 Machine Learning 2
  3. 03 Neural networks
  4. 04 Data Visualization in Power BI
4 year

Advanced models

  1. 01 Deep learning
  2. 02 Reinforcement learning
  3. 03 Nonlinear programming methods
  4. 04 Methods for solving inverse problems

Career

Where graduates work

Graduates create analytical models, develop big data processing systems and software to solve business and scientific problems. Graduates of the educational program "Data Science" can work in IT companies, banks and financial organizations, the telecommunications industry, e-commerce, industry, healthcare, government agencies and research centers. Graduates will be able to collect, process and analyze large volumes of data, develop predictive models and machine learning algorithms, create interactive analytical dashboards, identify patterns in data and use the analysis results to make informed management decisions. CodeBase LLP, Kaspi Bank JSC, CyberNet LLP, Oris Lab LLP, 2 Gis Directory of Two Capitals LLP, Incraft, KaR-Tel LLP (Beeline), Jayvito LLP, Kazakhtelecom JSC, QALANKZ LLP, Wooppay LLP, Globerce Inc., Halyk Bank JSC, Perfetti Van Melle LLP, Eurasian Bank JSC, Radiobaylanys LLP, Lean Solutions LLP, Dara Solutions LLP, MAT Group LLP, Halyk Bank Insurance, Kolesa JSC, Central Securities Depository JSC, ORBICOM LLP, Techinvest LLP, Taldau JSC, MUIT JSC, Amanat insurance, Bank Center Credit JSC, Ionosphere Institute LLP, Air Astana JSC, NISh FMS Almaty, State Credit Bureau JSC

  • Data Scientist
  • Machine Learning Engineer
  • Data Analyst
  • Big Data Specialist
  • Database Administrator
  • AI Developer
  • Data Engineer
  • Research Analyst
  • Data Scientist
  • Data Analyst
  • data engineer
  • Machine Learning Engineer
  • Big Data Specialist
  • BI Developer
  • BI analyst
  • product analyst
  • business analyst
  • predictive analytics specialist
  • risk management and scoring model specialist
  • recommender system developer
  • data visualization specialist
  • researcher in the field of data analysis and machine learning.
  • Graduates work in:

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