09.04.03 Applied Informatics

182_1

250000,00

р.

Computer-Assisted Teaching and Big Data Technology

Qualification: Master's Degree

Code of a programme: 09.04.03

Field of study: Applied Informatics

Location: Taganrog

SFedU Institute: Institute of Computer Technology and Information Security

Language: Russian

Tuition fee - based: 5

Duration of full-time mode: 2 years

Tuition fee per year (in rubles, 2026): 250 000

Basic subjects

Specialized subjects

Program Overview

Program Benefits

Prospects. Career & Employment

Why is it important to pursue a higher education?

Basic subjects

Methodology of scientific activity
Psychology of personal resource management
Professional and academic communication in computer science
Research project

Specialized subjects

Algorithms and data structures
Mathematical foundations of big data analysis
Methodology of information systems design and management
Methods of data mining
Methods of artificial intelligence
Software and hardware of information systems
Modern problems and methods of applied computer science
Big Data analysis technologies
IT project management

Information security module in information systems:
Information technology security
Software and hardware information security tools and information system administration

Program Overview

A data scientist is not only one of the most sought;after and highly paid professions, but also a win-win choice for the second stage of higher education. The program combines a thorough academic approach, a global research agenda and project-based teaching methods. The main programming languages are Python, R and Go.

Program Benefits

Data analysis specialist is the No. 1 profession in the labor market.
A convenient mixed format: you can study remotely and face-to-face.
It is suitable for anyone who wants to understand artificial intelligence and machine learning in depth.
A flexible but busy schedule is ideal to improve your skills without compromising your work or other activities.
A strong scientific base that opens the way to graduate school.
A real opportunity to get a double degree from two leading universities.

Prospects. Career & Employment

Graduates successfully work in the IT industry, where they analyze huge amounts of data, build models and make forecasts.
Possible professions:

Data Analyst
Business Analyst
Developer-researcher
Specialist in algorithm development and data processing
Specialist in data migration
Specialist in scoring model development
Developer of data warehouses and BI-systems

Why is it important to pursue a higher education?

The purpose of the educational program is to train highly qualified specialists for the digital economy who are able to manage the development of products, services and infrastructure solutions based on big data, improve and develop new methods, models, and machine learning algorithms.