Digital technologies in business: data analysis and decision practice

What is Data Science?

Data Science as mathematics and physics is another way to learn about the world around you

 

The Master’s program “Digital Technology in Business: Data Analysis and Solution Practice” meets the current challenges of the IT industry: training data analysts for innovative digital economy with analytical, research, methodological and technological competences in new areas of science, technology and economics. The direction includes construction of mathematical models and computational algorithms of data processing, algorithms of data analysis both in general statement and in the sphere of specialization, use in practice of modern technologies of 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 in order to extract the knowledge needed to make decisions. Graduates of this program aim to conduct original research in selected areas of machine learning and data analysis and to apply the results to society, economy and business.

Data Analysis

Development of Machine Learning models

Processing, transferring, and preparing big data

Development of Data Analysis instruments

Program 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, competent analysis of accumulated data is a necessity for any company and increases its competitiveness. To achieve this goal, we need unique specialists who have knowledge at the intersection of several fields, understand the subject area, as well as professional skills in programming, working with data storage systems, statistical methods, machine learning methods and are able to visualize the results obtained. Such a specialist not only analyzes historical data, but is also able to build predictive mathematical models based on it.

  • Telecommunications (mobile operators)
  • Second level banks
  • Joint Stock Company “National Welfare Fund “Samruk-Qazyna”.
  • 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, as well as manage the development team. The acquired knowledge and skills can be successfully used both in work on research projects and in solving industry problems in many areas, ranging from the tasks of storage and processing of super large volumes of data to the analysis and forecasting of various processes in society.

 

Data Science

What is Data Science?

Data Science as mathematics and physics is another way to learn about the world around you

The Master’s program “Data Science” is aimed at training specialists capable of processing large data, developing and implementing innovative and creative solutions in the field of analytics, implementing and testing models using modern software tools. The direction includes the study of classical approaches to mathematical statistics and basic tools of artificial intelligence, including methods of expert systems and machine learning. It provides training of elite personnel of innovative economy who have analytical, research, methodological and technological competences in new fields of science, technology and economics.

 

 

Program Advantages

  • Focus on data of complex structure, unstructured data and data in natural languages, which requires the use of artificial intelligence techniques (e.g. ontologies, social networks).
  • a wide range of application areas (from Internet search to medical informatics).
  • In-depth study of basic models for a systemic view of the development of data sciences.
  • Combination of trajectories for “analysts” (creators of mathematical models and methods) and “developers” (creators of intellectual systems).
  • Concentration on mathematical bases, methodology, methods and algorithms of data analysis and processing of big data;

Data Analysis

Development of Machine Learning models

Processing, transferring, and preparing big data

Development of Data Analysis instruments

Program disciplines
  • Multivariate statistical analysis
  • Programming (Python, SAS, R)
  • Hadoop: System for large data processing
  • Internet Data Analysis
  • Artificial Intelligence
  • Basics of Apache Spark
  • Applied aspects of machine learning
  • Neural network application
  • Development and implementation of large data systems
  • Blockchain technology

For any additional information

please contact the associate professor Kulambayev B.O.: bakhytzhan.kulambaev@narxoz.kz