Digital technologies in business: data analysis and decision making practice

Educational program: «Digital technologies in business: data analysis and decision making practice»

Type of master's degree: pedagogical master's degree

Duration of studying: 2 years
The Master's program "Digital Technology in Business: Data Analysis and Solution Practice" meets the current challenges of the IT industry. The program trains data analysts for the digital economy with analytical, research, methodological and technological competences in new areas of science, technology and economics. The program provides training in construction of mathematical models and computational algorithms of data processing, algorithms of data analysis both general and specific, and practical guidance in using modern technologies for processing large volumes of complex or insufficiently structured data.
Program Advantages
The program immerses graduate students in analytics and data language. Students will learn how to develop automated methods for analyzing large volumes of data to extract the knowledge needed to aid evidence-based decision making. Graduates of this program will conduct original research in selected areas of machine learning and data analysis and to apply the results to social, economic and business challenges.
Key disciplines
  • Data analysis (Python, SQL, SAS)
  • Sustainable development
  • Digital technology in consumer demand analysis
  • Big Data  - Hadoop and Spark
  • Automation and testing of machine learning processes
  • Data processing and analysis algorithms
  • Security of Web applications
  • Engineering of data and services for business process automation
  • Neural networks and in-depth training
  • Applied aspects of working with the data warehouse
  • Business analytics model development (SQL)
  • Blockchain technology
Career opportunities
In today's world, expert analysis of accumulated data is fundamental to competitiveness. To achieve this goal, we need unique specialists who have knowledge at the intersection of several fields, who understand the subject area, and have professional skills in programming, working with data storage systems, statistical methods and machine learning methods and are able to explain and visualize the results. Such a specialist not only analyzes historical data, but is also able to build predictive mathematical models.

  • Telecommunications (mobile operators)
  • Banking
  • Joint Stock Company "National Welfare Fund "Samruk-Kazyna".
  • ·Logistics (Aviation, Railway and other types of transportation and warehousing, goods and services accounting)
  • Business models based on Internet technologies
  • Consulting
  • Research institutes
  • Higher education institutions

Graduates of the program will have a set of professional competencies that enable them, after training, to successfully continue their research activities, develop and implement algorithms for intelligent data analysis and manage the development team. knowledge and skills acquired on the program can be successfully used both in work on research projects and in solving business, social and economic challenges in many areas, ranging from the tasks of storage and processing of super large volumes of data to the analysis and forecasting of socioeconomic processes.

Our programs are keeping up with the fast changing environment, so they are under the process of constant improvement

For more information on the program,
please contact to professor Kulambaev B.O.

Find out more about admission