Artificial Intelligence

Run by the Digital Economy and Artificial Intelligence Department of the Marketing Communications Group ADV

Masters of Science in Business & Computer Science

This program has been created as a specialized course for the practical application of Artificial Intelligence in business. This program has been designed under the patronage of ADV, Microsoft and NVIDIA and shall be recognized by leading companies in the field of Internet Technologies and Marketing. In partnership with MGIMO, this unique program offers students a full-time yet flexible course which allows students to work alongside their study schedule. The course is a combination of the practical skillsets of our curated mentors, the core knowledge of our professors from MGIMO, MIPT and Moscow State University, and the international experience of our accomplished lecturers from around the globe.
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Our partners

What makes MGIMO stand apart from other universities is its extraordinary environment that will make your MSc studies a major life milestone. We intend to nurture a new cohort of international technology leaders who will build up technological processes and develop competitive software products and services for international markets.

2 Years

Full-time/flexible study mode

340.000

Annual tuition fee

18 August

Admission deadline

Program Structure

The 2-year program comprises compulsory and recommended elective courses, entrepreneurship and innovation component as well as research activity and industry immersion.

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Compulsory and recommended courses

1. System Theory and System Analysis
2. Mathematical and Economic Modeling for Software Applications
3. Strategic IT Management
4. IT Marketing and Artificial Intelligence
5. IT Enterprise Architecture
6. Information Security Methods
7. Global AI Market
8. Global Digital Economy
9. Software Design and Development
10. English
11. Digital Marketing
12. Coding for AI Products
13. AI ethics issues

#2

Supplementary courses

1. Neuromarketing
2. Negotiations
3. Artificial Intelligence and Big Data
4. Digital Technologies in Financial Services
5. Business Process Automation
6. Introduction to Venture Finance

#3

Innovation and entrepreneurship

1. Innovation Workshop
2. Fundamentals of Commercializing of Technological Advances

#more

And also

1. Academic Research
2. Industry Immersion

Study tours to UK and Israel

Visits to the leading local tech companies and investment funds.

Our graduates shape their own futures by choosing from variety of career opportunities in industry and business:

Industry

Landing specialist positions such as Data Analyst, Data Scientist, Consultant in various industry sectors (IT, Finance, Telecom and others), Product Manager.

Startup

Starting a business on their own or through the extensive pool of experts, consultants and mentors from Microsoft, ADV and other partners.

How to apply

1. A statement of purpose

2. A portfolio demonstrating research and practical skills of the applicant, incl. participation in business contests

A successful graduate of our Program will have a deep understanding of:

Principles of design, development and promotion of technological products

Main methodologies in the field of practical applications of algorithmic database analytics

Digital economy fundamentals and their legal regulations

And also you will:

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Understand key aspects of application development in data science

#2

Learn how to translate complex applied problems from real life into the language of data science

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Learn how to identify, formulate and solve non-standard strategic tasks placed by practical situations

#4

Learn how to understand and create new business models of complex systems that arise in technical sciences

#5

Learn how to choose and apply the most effective software tools, programming languages, data models, computing environments for modeling and visualization

Our faculty

Vadim Diakov

Chief Innovation Officer @ADV Group

Alexey Yakushin

Assistant Professor of Faculty of Computational Mathematics and Cybernetics @MSU

Irina Zernyshko

Senior Media Manager @Unilever

Dr. Rand Hindi

CEO @Snips.ai

Eugeny Golod

Ex-Director @EY

Arkady Sandler

Head of AI @MTS

Alexey Likuev

Partner @Gromado

Sergei Leonidchenko

First Secretary @Ministry of Foreign Affairs of the Russian Federation

Marina Koroleva

Leading Research Fellow @Neurotrend

Mark Shmulevich

COO @TAIGER

Eugene Raspopin

Head @InterProCom

Artem Movsesyan

Strategic consultant

Nicolay Trzhascal

CBDO @MTS AI

Asya Vetlugina

AI Analyst @МTS

Our mentors

Dmitry Korobkov

Chairman of the Board of Directors of ADV

Pavel Ershov

Senior VP @Acronis

Bud Goswami

Lead Data Scientist @Qubit

Niroshan Balasubramaniam

Co-founder Zlick

Eyal Rabinovich

Octopus Ventures Investor

Alexey Shevtsov

Managing Director Blockchain Projects @VEB

Yury Linkov

Founder opendata technology in Russia

Vadim Fedchin

Founder, Managing partner @uba.vc

Vladimir Guber

4BIO Capital, Partner

Pavel Fedorov

Managing Partner @TheKey (Ключ) coworking chain

Petr Lukyanov

Partner @Quantum Wave Fund

Vitaly Polekhin

High Technology Industries Investor

Peter Bruce-Clark

COO @Social Impact Capital

Dmitry Khalin

CTO @Microsoft

Mikhail Rybchinskiy

GR @Microsoft

Maria Leshcheva

Senior Product Manager @Amazon

Dr. Nik Spirin

Director of AI @Gigster

Evgeny Chereshnev

President @Biolink.Tech

Our curators

Academic Director

Anna Abramova

Associate Professor

Program Director

Elina Thorne

Investment Advisor @ADV

Third-Party Courses

MGIMO.AI strongly recommends that you take the following online courses before starting classes:

Introductory Courses

Intro to Computer Science I
Intro to Computer Science II
Design and Analysis of Algorithms

Additional Courses

Advanced Data Structures

Applications accepted till 20th July

The admission and enrollment process includes several steps:

Application

Prepare all documents and submit your application filling in the form on our website.

Interview

Have an interview with the Program coordinator.

Admission

Based on the results of each applicant’s overall performance, we will make a list of students to be enrolled for our Program.

Submit an application

To participate in the selection for the program, please apply from 20th June to 20th July 20. We will announce the results by 31st of July.