Code and classification of the field of education:

8D06 Information and communication technology

Code and classification of training areas:

8D061 Information and communication technology

Code in the International Standard Classification of Education: 0610

Classification: Ph.D

Duration of study: 3 years

Form of study: full-time

Short description of the scope of knowledge: The presented Educational program is aimed at training preparing the synthetic data researcher profession. Data researchers should possess skills and knowledge from several diverse areas: computer science and programming, mathematical methods, and business administration and management. Such synthetic specialties are always very popular, but it is also difficult to master. The key methods of data analysis today are machine learning, data mining, process mining, visual analytics, time series analysis and others.

Analyzing big data, you can create new services and products, optimize your business, and therefore to earn money.

The Big Data technology allows you to reduce the cost of IT infrastructure and software, reduce labor costs through more efficient methods of data integration, management, analysis and solution development; provide increased revenue and profits through new or more efficient ways of doing business. That is, at the present stage, the same technologies are a qualitatively new value for the enterprise.

The structure of the doctoral education program includes two components: educational and scientific, defining the content of education.

A summary of the programme

The program of the BigData Analytics: a training program for ICT and managers, IT analysts and large industrial enterprises, where it is necessary to regularly analyze large amounts of data that can build processes for optimal data collection, operational data processing, data analysis, optimization of business processes, forecasting consumer behavior, analysis of statistical indicators, risk analysis, development of business solutions, etc. to improve the efficiency of the company.

The main skill of data experts is to see the logical connections in the system of collected information and on the basis of this to develop certain business solutions and models. This may lead to new scientific discoveries, increased company efficiency, new income generation opportunities, improved customer service, etc.

Tasks of the educational program “BigData Analytics”:

-  to form the ability to contribute to the development of the latest directions of computer science due to the original scientific research;

-  In-depth theoretical and practical training in the chosen direction of science.

The uniqueness and distinctive feature of the EP lies in the introduction of large data disciplines into the educational program, as well as special courses: a supervisor and a foreign consultant of the doctoral candidate, which will contribute to the mastery of advanced scientific and technological methods developed in the field of his research and familiarization with existing topics directions.

According to the educational program "Big data Analytics" are provided by the following teachers:

Shaushenova Anargul Gimranovna

Ismailova Aisulu

Kopeyev Zhanat

Beldeubayeva Zhanar Toleubayevna

Aitimova Ulzada Zhodasbekovna

Turmaganbetova Shynar

Adviser: Smailova Laila Kudaibergenovna, tel. +7(7172) 38-43-23, E-mail smailova_laila@mail.ru