Data Management and Artificial Intelligence - Faculty of Artificial Intelligence

Why you should enroll in a master’s programme at the Faculty of Artificial Intelligence

A master’s degree in the most promising field = guaranteed employment.

95%

of Russian economic sectors will use artificial intelligence by 2030

1 000 000

people — personnel shortage in the Russian IT industry

Internships and training in leading IT companies: Alfa-Bank, Sberbank of Russia, Yandex, VKontakte, X5 Group.

Training Process

Convenient time of classes

lectures and seminars are held in the evenings for a convenient combination of study and work

Practice-oriented character

seminar classes with expert practitioners from leading industry companies and solving real cases, as well as developing your own projectsв

Optimized curriculum

only necessary specialized disciplines

You will get

Training in classrooms equipped with high-tech equipment which allows different neural network models to be trained in a short time.

A supercomputer capable of performing complex calculations and processing large amounts of data at high speed.

Implementing projects commissioned by partner companies and your own ideas in the Artificial Intelligence Laboratory under the guidance of qualified mentors.

Gaining relevant knowledge from teachers — practicing specialists from the largest IT companies.

Completing internships and training in leading companies: Alfa-Bank, Sberbank of Russia, Yandex, VKontakte, etc.

Success = theory + practice!

Academic Internship

in the 1st year, during which you will delve into the world of IT and learn the ins and outs of working in the field of high technology in the AI Laboratory and partner companies

Industrial Placement

in the 2nd year, it will allow you to apply the acquired knowledge when working in the AI Laboratory and partner companies — Alfa-Bank, Sber, Yandex, VKontakte

Pre-Graduation Internship

in the 2nd year, it is aimed at collecting materials for writing a graduation thesis

Programme Disciplines

Machine Learning Methods
a set of artificial intelligence methods with which you can create self-learning computer systems (in particular, neural networks)

Deep Learning
a type of machine learning using multilayer neural networks that self-learn on a large set of data

Optimization Methods
methods for constructing algorithms to find the optimal (minimum or maximum) value of a function

Computer Vision
a field of artificial intelligence that deals with the creation of programs and systems that allow computers to analyze and understand visual information, such as images and videos

Project Management and Agile
the goal of Agile as an approach to project management is to increase the speed of creating high-quality products while minimizing the possible risks of errors when executing tasks

As well as a number of other important and complementary disciplines.

Career

In which industries do artificial intelligence specialists work:

IT corporations and banks
Consulting and auditing companies
Retail and e-com
Government bodies and state corporations
Research centres and institutes
Medicine, gaming industry, industry, transport, etc.

Employers are looking for specialists

JUNIOR
from 170 000₽: work experience up to a year

MIDDLE
from 250 000₽: work experience of 1-3 years

SENIOR
from 300 000₽: work experience of over 3 years

A wide range of careers will open up for graduates of the faculty

Data Engineer — specialists involved in building and maintaining infrastructure for working with data, as well as their preliminary processing

Machine Learning Engineer — specialist who develops, trains and implements machine learning models, and has knowledge in programming, statistics and data analysis

DevOps Engineer — universal IT specialists who work on software deployment. The profession of a DevOps engineer combines many professions: system administrator, developer, tester and manager

MLOps Engineer — deals with the operational aspects of deploying, managing and maintaining machine learning models

Data Scientist — specialists who create tools to solve business problems. To do this, they use the skills in data analysis and building machine learning models. Data scientists work at the intersection of three areas of knowledge: statistics, machine learning and programming

Techno-Ethicist — deals with solving ethical problems that arise in the process of technology development; explores issues of determining responsibility for the consequences of implementing breakthrough technological solutions and develops regulatory frameworks for technology application practices

Prompt Engineer — сspecialists who generate queries for large language models, such as ChatGPT

and many other relevant and promising careers.

Admissions

The entrance exam in the form of a portfolio competition is a great opportunity to change your field of activity and open up new horizons!

How to enrol

Registration

Register in the personal account of the Admissions Committee ab.rudn.ru.
Submitting an Application

Click on ‘Submit an Application’.
Filling in the Information

Fill in the required information step by step.
Choosing a Programme

Level of Education — master’s programme, Mode of Study — full-time, Field of Study: Data Management and Artificial Intelligence, Admission Category — contract, general competition, target quota.

Contact information

PHONE: +7 903 203-52-42 E-MAIL: ai-priem@rudn.ru

Registration