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

330.000

Annual tuition fee

20 July

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.

#1

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

#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
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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:


#1

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

#3

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


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Denis Gurko
CIO and Chief Digital Transformation Officer @ADV Group
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Alexey Yakushin
Assistant Professor of Faculty of Computational Mathematics and Cybernetics @MSU
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Irina Zernyshko
Senior Media Manager @Unilever
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Dr. Rand Hindi
CEO @Snips.ai
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Eugeny Golod
Ex-Director @EY
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Arkady Sandler
Head of AI @MTS
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Alexey Likuev
Partner @Gromado
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Sergei Leonidchenko
First Secretary @Ministry of Foreign Affairs of the Russian Federation
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Marina Koroleva
Leading Research Fellow @Neurotrend
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Mark Shmulevich
COO @TAIGER

Our mentors


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Dmitry Korobkov
Chairman of the Board of Directors of ADV
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Pavel Ershov
Senior VP @Acronis
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Bud Goswami
Lead Data Scientist @Qubit
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Niroshan Balasubramaniam
CEO Kaymu
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Eyal Rabinovich
Octopus Ventures Investor
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Alexey Shevtsov
Managing Director Blockchain Projects @VEB
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Yury Linkov
Founder opendata technology in Russia
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Vadim Fedchin
Partner @Etcetera.vc
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Vasily Smekalov
VTB Capital, Private Equity and Special Situations, Executive Director
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Vladimir Guber
4BIO Capital, Partner
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Pavel Fedorov
Managing Partner @TheKey (Ключ) coworking chain
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Petr Lukyanov
Partner @Quantum Wave Fund
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Vitaly Polekhin
High Technology Industries Investor
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Peter Bruce-Clark
COO @Social Impact Capital
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Dmitry Khalin
CTO @Microsoft
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Mikhail Rybchinskiy
GR @Microsoft
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Yuri Krylov
COO @Neurogaming
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Maria Leshcheva
Senior Product Manager @Amazon
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Dr. Nik Spirin
Director of AI @Gigster

Our curators


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Academic Director
Anna Abramova
Associate Professor
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Program Director
Elina Davidova
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.

Submit an application

Apply

We are delighted to meet visitors from Monday to Friday from 9am to 6pm. Please send an application to admissions.ai@inno.mgimo.ru 48 hours before the expected date and wait for our confirmation.


76 Vernadskogo Avenue,
Moscow, Russia,
119454


E: admissions.ai@inno.mgimo.ru
P1: +7 (925) 623-39-65
P2: +7 (903) 623-95-15