MSAI Online Master's Open Day

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Open Day

Learn how the program works, what the admissions process involves, and where an MSAI degree can take you in AI.

Meet the people who built the program, ask them your questions, and find out what you need to apply this year.

Online

We will inform you about the date and time additionally

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What You'll Learn

Get the answers you need in 90 minutes

Program founders Radoslav Neychev and Vladislav Goncharenko will walk you through the MSAI curriculum, show how the degree is structured, and explain what sets the program apart from other AI master’s degrees.

Program structure and curriculum

Admission requirements

Entrance exams

How to balance the program with a full-time job

Career paths after graduation

Live Q&A

By the end of the Open Day, you should have a clear

sense of whether MSAI is right for you — and, if it is, what to do next.

Who Is This Event For?

This Open Day is for you if you…

Whether you’re already working in tech or thinking about moving into AI, the Open Day will help you judge whether MSAI fits where you want to go

See which skills you already have, what you’ll need to add, and how the program can help bridge the gap to Machine Learning

You work in IT and want to move into AI

Build a stronger mathematical foundation, fill gaps in your knowledge, and get up to speed with current AI and Machine Learning methods

You already work in Data Science or Analytics

See how MSAI can build on your technical background and prepare you for advanced engineering work in AI

You’re completing a technical bachelor’s degree

A move into AI can be hard to plan from the outside. We’ll explain what the program expects at entry and what you can do to prepare

You’re planning a career change

Take a detailed look at MSAI, ask the faculty directly, and compare the program with other master’s degrees on the things that matter to you.

You’re still choosing a master’s program

You don’t need to have made up your mind yet. The point of the Open Day is to give you enough detail to judge the program on its merits, understand the admissions requirements, and plan from there.

Explore the Program Before the Event

Watch the MSAI program presentation before the Open Day for an overview of the curriculum and learning format

At the event, we’ll spend more time on admissions and the student experience, with plenty of room for questions

Register

Why Choose MSAI

An Online Master's Program Built by AI Practitioners

Graduates who complete the program receive an accredited Master's degree from MIPT

MSAI has already graduated six cohorts

Alumni now work across leading technology companies and research organizations

Developed jointly by MIPT and girafe. ai

MSAI combines a strong mathematical foundation with current Machine Learning methods and practical experience from people who build AI systems for a living

What Makes MSAI Different

MSAI is a joint online Master’s from MIPT and the girafe. ai team — the people behind some of the most popular open ML courses

You graduate with a state-accredited Master’s degree from MIPT

Register for an Open Day

*We don't apply

Ordinary education*

Learn

All clear?

Next topic

yes/no

Mastery learning

You stay with each topic until you’ve truly mastered it — supported by MSAI's own AI chatbots

Learn

All clear?

Next topic

yes

no

Evidence-based learning

Active Recall is grounded in cognitive-science research

A curriculum that builds on itself

Built on the faculty’s years of teaching, each course picks up where the last one left off

A different kind of exam

Oral exams put you face to face with the faculty — you learn from their experience and get feedback made for you

Faculty who teach worldwide

Our instructors teach at universities around the world — in Spain, Türkiye, Thailand, and beyond

A serious academic community

Working practitioners alongside MIPT’s academic community

Open by default

Our courses live on GitHub, so you can see exactly what you’ll study and compare it with top courses worldwide

Learn about the program

01

See how the curriculum is organized and how the courses fit together

Admissions Process

02

Get the application timeline, entrance exam format, and admission requirements

Student Experience

03

See what classes are actually like, how much time the program takes, and how students manage it alongside full-time work

Live Q&A

04

Ask the program founders and admissions team directly

Open Day Agenda

Meet the Speakers

Radoslav Neychev

Author and lead lecturer of the machine learning courses at MIPT, MADE, and Moscow State University. Academic Director of the AI track at Harbour. Space University. Co-author of Yandex’s Machine Learning textbook and a former CERN collaborator.

Vladislav Goncharenko

Teaches machine learning, computer vision, and recommender systems. Head of Video Recommendations at Dzen. Earlier, he built perception systems for self-driving trucks.