Artificial Intelligence: Intelligence System Development and Training

6 reasons why a career in AI is the career of the future

55%

of the world’s companies are already using artificial intelligence

20x

the international AI market will grow by 2030

20%

of the world’s companies have a shortage of employees with AI skills

95%

of sectors of the Russian economy will use artificial intelligence by 2030

1 000 000

people — personnel shortage in the Russian IT industry

15

minimum number of positions you can work in after graduating with a bachelor’s degree

Does neural network not generate the desired result? Create your own!

In our field of study, you will not only study programming and machine learning, but also the specifics of using AI in various fields: finance, linguistics, law, psychology. In the Artificial Intelligence Laboratory, you will be able to develop your own projects under the guidance of experienced mentors and, of course, gain useful insights from teachers — practicing specialists in the IT field.

200 000 ₽: salary of an entry-level specialist with a specialized degree

420 000 ₽: salary of a specialist with experience from 1 year to 3 years

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.

Undergoing practical training and internships in companies — market leaders: Alfa-Bank, Sberbank of Russia, Yandex, VKontakte, etc.

Participating in scientific conferences and hackathons.

And, of course, internships!

Academic Internship

in the 2nd year, during it you will immerse yourself 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 4th year, it will allow you to apply the acquired knowledge when working in the AI Laboratory and partner companies

Pre-Graduation Internship

in the 4th year, it is aimed at collecting materials for writing a graduation thesis

Programme disciplines

Programming in Python
one of the most popular programming languages used in many fields of activity

Neural Networks
studying approaches to creating trainable computer systems, various structures of neural networks, methods of their synthesis, training and testing

Machine Learning Methods
methods and algorithms that allow computer systems to learn automatically from data and make predictions or make decisions without an explicit program task

Hadoop, SPARK
main infrastructure frameworks for working with large amounts of data

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

Pattern Recognition and Computer Vision
technologies, methods and algorithms which enable a computer to process images and video streams, recognize visual cues in images

C++ Programming
programming language that underlies many programs, operating systems and game

And Fundamentals of Information Security, AI in Finance, AI in Linguistics, and many other equally interesting disciplines!

What’s next?

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 — specialists who create and train algorithms for working with large amounts of data

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

MLOps-инженер — 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 — specialists who generate queries for large language models, such as ChatGPT.

and many other relevant and promising careers

Admissions

Compulsory Mathematics (advanced level) — 65 Russian — 65

Optional Foreign Language — 35 Physics — 65 Chemistry — 39 Information Science and ICT — 65

Compulsory Mathematics (advanced level) — 45 Russian — 42

Optional Foreign Language — 35 Physics — 40 Chemistry — 39 Information Science and ICT — 46

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 — Bachelor’s programme, Mode of Study — full-time, Field of Study: Artificial Intelligence: Intelligence System Development and Training, Admission Category — contract, general competition, special quota, separate quota, target quota.

Contacts

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

Registration