EnRu
Artificial Intelligence
Masters of Science in Business & Computer Science

The goal of the program is to train specialists in the field of practical application of AI in business. This program was created in 2017 under in partnership with recognized leaders in Internet technologies and marketing - ADV, Microsoft and NVIDIA.
We are advancing a unique educational project to train digital consultants in the field of AI based on the synthesis of international experience of MGIMO experts and partner companies, fundamental knowledge of professors from MGIMO, MIPT and MSU (VMK), practical skills of our mentors and guest lecturers.
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OUR PARTNERS

International companies are investing billions of dollars in AI systems, but the lack of computing power and specialists is a barrier to the development of business-oriented AI.
We intend to nurture a new cohort of technological and business leaders capable of building processes and promoting AI products and services in Russian and international markets. We encourage our students to work in the digital industry alongside their studies and help them find opportunities.
  • 2 Years
    Full-time study mode on the weekends, Friday - online
  • 380.000₽
    Annual tuition fee
  • 20 July
    Admission deadline
Program Structure
The program lasts 2 years and consists of compulsory and elective courses, research work, entrepreneurial training opportunities and industry practice under the auspices of our partner companies.

Classes are taught in Russian.
  • #1
    COMPULSORY AND RECOMMENDED COURSES
    1. Systems Theory and Systems Analysis
    2. Software Packages for Economic and Mathematical Modeling
    3. Information Security Methods
    4. Fundamentals of AI and AI systems
    5. Strategic IT Management
    6. Machine Learning Theory
    7. Enterprise IT Architecture
    8. Software Design and Development (2 years)
    9. Digital Marketing
    10. Machine Learning Methods
    11. AI Products Authoring Practice
    12. Foreign Language (weekly for 2 years)
    13. Strategic Management of IT Projects
    14. Global Digital Economy
    15. Regulation of AI Technologies
    16. Regulation of Intellectual Property in the Digital Economy
  • #2
    ELECTIVE COURSES
    1. Neuromarketing
    2. Introduction to Venture Finance
    3. Digitalization of World Regions: Middle East and African Countries
    4. Practical Aspects of Digital Transformation Management
    5. Using Modern Digital Technologies in Brand Promotion
  • #3
    SUPPLEMENTARY COURSES
    1. Risk Assessment and Forecasting
    2. Negotiation
    3. Big Data Management and Analysis
    4. Data Analysis: Business Workshop
  • #more
    AS WELL AS
    1. AI Business Club
    2. Scientific Conferences
    3. Master Classes with Russian and foreign experts
    4. Internship opportunities in the Industry
Our graduates shape their own futures by choosing from variety of career opportunities in industry and business:
Industry

Product / Project Manager, Data Scientist, database analyst, digital marketing and digital transformation consultant.

Startup

Starting a business on their own or with the support of experts, mentors and partner companies.

How to apply
1. A statement of purpose

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

3. Interview
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:

  • Understand key aspects of application development in data science

    #1

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

    #2

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

    #3

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

    #4

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

    #5

OUR FACULTY

  • Alexey Yakushin

    Associate Professor of Faculty of Computational Mathematics and Cybernetics @MSU

  • Irina Zernyshko

    Senior Media Manager @Unilever

  • Rustem Valiev

    Associate professor @MIPT, RFTA

  • Eugene Raspopin

    Head @InterProCom

  • Marina Koroleva

    Leading Research Fellow @Neurotrend

  • Artem Movsesyan

    Strategic consultant

  • Anna Abramova

    Academic Director of MSc. Program, Head of AI Centre MGIMO

  • Mikhail Zabezhaylo

    Professor @MIPT, Senior Research Fellow at the Federal Research Center "Computer Science and Control" of RAS

  • Nicolay Trzhascal

    IT-enterpreneur

  • Sergei Leonidchenko

    First Secretary @Ministry of Foreign Affairs of the Russian Federation

  • Petr Kuderov

    Researcher @AIRI, Center for Cognitive Modeling MIPT

  • Ekaterina Lipova

    Head of Data Protection @Yandex Cloud

  • OLEG GUROV

    GX MBA, PhD in Philosophy. Associate Professor at Faculty of Economics of Moscow State University, RIAC expert, coordinator of International programs at the Scientific Council on Methodology of AI and Cognitive Research at the Presidium of RAS

  • Eugenia Giliova

    Associate Professor @English Language dept.

  • Oksana Prismotrova

    Associate Professor @English Language dept.

  • Sergei Trofimov

    Board Member of the interregional public organization «Union of IT Directors»,

    PhD in Economics

OUR MENTORS

  • Asya Vetlugina

    High classes lead @Yango taxi

  • Vadim Fedchin

    Founder, Managing partner @uba.vc

  • Evgeny Chereshnev

    Board member, VP of Strategy & Innovations @MTS

  • Nicolay Trzhascal

    IT-enterpreneur

OUR CURATORS

  • ANNA ABRAMOVA

    Academic Director of the MSc. program Artificial Intelligence MGIMO-ADV

    Head of the Department of Digital Economy and Artificial Intelligence with the ADV Group @MGIMO.
    Head of AI Centre MGIMO.
    Member of the UN High-Level Advisory Body on Artificial Intelligence.
    PhD in Economics, Associate Professor.

  • ELINA THORNE

    Program Director
    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
Contact Us
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.
+7 (903) 623-95-15
admissions.ai@inno.mgimo.ru
Odintsovo, Moscow obl.
Novo-Sportivnaya street, 3
143000
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