Full-time education at the country’s leading university
from anywhere in the world
HSE Online is the online campus of the National Research University Higher School of Economics (HSE University), the leading Russian university by number of full-time online programs and the students enrolled in them. We have over 30 years of experience in education and research, and more than 12 years in online education.
We combine academic expertise, cutting-edge technology, and industry trends so that you not only gain up-to-date knowledge and skills but also shape the future job market.
We combine academic expertise, cutting-edge technology, and industry trends so that you not only gain up-to-date knowledge and skills but also shape the future job market.
( 01 )
About the program
The online master’s program in Artificial Intelligence and Computer Vision trains professionals capable of solving problems in object recognition, 3D reconstruction, mobile app development, and the implementation of machine learning in industry, medicine, retail, and banking.
You will learn modern programming languages, explore generative models and 3D reconstruction, work with machine learning and deep learning libraries, create your own projects, and receive feedback from industry experts.
( Industrial Partners )
Sber
YADRO
NEYMARK IT Campus
Convenient class times
Lectures are available shortly after each class, allowing you to watch them anytime if you can’t attend live. Live classes are held on weekdays at 7:00 PM Moscow Time
Convenient digital environment
Classes are held via MTS Link, Yandex Telemost, Zoom, and HSE’s SmartLMS platform
Comprehensive approach
You will gain fundamental knowledge in the fields of artificial intelligence and computer vision
Progressing from simple to complex
The initial courses help you refresh your foundational knowledge of mathematics and programming, after which you will be introduced to key challenges in the fields of AI and computer vision. You will then deepen your understanding of complex topics and apply them in practice
Academic and practical expertise
We developed this program in collaboration with Sber, Yadro, NEYMARK IT Campus, and leading researchers, meaning that you receive only up-to-date knowledge and are prepared for current market realities
Joint implementation with NEYMARK IT Campus
You will solve real-world case studies and interact with OpenCV developers, engineers, and researchers working with major international companies in the AI sector
Practical application focus
The program includes lab work and project development based on real-world case studies. For example, developing web services for object segmentation and detection in video
( 02 )
How the program is delivered
We recommend setting aside about 25 hours per week for classes and independent study.
In addition to required courses, you can choose elective courses and create a personalized study plan.
In addition to required courses, you can choose elective courses and create a personalized study plan.
The curriculum is subject to minor changes. We adapt it to industry trends and take into account feedback from students, instructors, and experts.
- Mathematics for Computer Vision
- Object-Oriented Programming
- Advisor Seminar
- 2D Image Processing
- Data Analysis in Machine Learning
- Advisor Seminar
- Modern Methods of Operations Research
- Advisor Seminar
- Project "Machine Learning in Computer Vision"
- Research Seminar "Computer Systems Architecture"
- Project Seminar "Deep Learning for Computer Vision"
- Advisor Seminar
- Projective Geometry and Methods of 3D Image Processing
- Research Seminar "Applied Problems in Computer Vision"
- Advisor Seminar
- Modern Methods for Solving Computer Vision Problems
- Project Seminar "Deep Learning for Computer Vision"
- Advisor Seminar
- Deep Generative Models
- Project Seminar "Computer Vision for Mobile Devices"
- Advisor Seminar
- Thesis Preparation
- Thesis Preparation
- Thesis Defense
Examples of student projects and theses
Our professors are practitioners in leading Russian companies and scholars at HSE
Andrey Savchenko
Academic Director of the Program, Professor, Senior Research Fellow at the International Laboratory for Algorithms and Technologies for Analyzing Network Structures, National Research University Higher School of Economics
Sergey Nikolenko
Senior Researcher at the St. Petersburg Department of the Steklov Institute of Mathematics (POMI RAS), Ph.D. in Physics and Mathematics, Professor
Ilya Makarov
Senior Researcher at the Research Institute of Artificial Intelligence, Director of the Artificial Intelligence Center at the National Research Technological University (MISIS), Associate Professor at the National Research University Higher School of Economics (HSE)
Konstantin Egorov
Senior Data Analyst at SberLabs
Mikhail Batsyn
Senior Researcher and Data Analyst at Huawei
Evgeny Kapralov
Master of Applied Mathematics and Computer Science, Co‑founder, CTO at a full‑cycle AI product development company. Research interests: application of approaches combining image, text, and action processing (vision‑text‑action) in robotics
Anastasia Kapralova
Master of Applied Mathematics and Computer Science, recipient of the Segalovich Award, former lecturer at the Yandex School of Data Analysis (ShAD), author of 6 scientific publications. Research interests: unconventional methods for solving AI problems
Anton Kuropatov
Program Manager from the NEYMARK IT Campus. Lead AI Product Manager at YADRO, winner of regional and prize-winner of international development marathons (hackathons) in the field of AI. Led the development of a product with an audience of 180 million users, built several startups from the ground up and led them to operational profitability. Research interests: integration of AI into business
Andrey Savchenko
Academic Director of the Program, Professor, Senior Research Fellow at the International Laboratory for Algorithms and Technologies for Analyzing Network Structures, National Research University Higher School of Economics
Sergey Nikolenko
Senior Researcher at the St. Petersburg Department of the Steklov Institute of Mathematics (POMI RAS), Ph.D. in Physics and Mathematics, Professor
Ilya Makarov
Senior Researcher at the Research Institute of Artificial Intelligence, Director of the Artificial Intelligence Center at the National Research Technological University (MISIS), Associate Professor at the National Research University Higher School of Economics (HSE)
Konstantin Egorov
Senior Data Analyst at SberLabs
Mikhail Batsyn
Senior Researcher and Data Analyst at Huawei
Evgeny Kapralov
Master of Applied Mathematics and Computer Science, Co‑founder, CTO at a full‑cycle AI product development company. Research interests: application of approaches combining image, text, and action processing (vision‑text‑action) in robotics
Anastasia Kapralova
Master of Applied Mathematics and Computer Science, recipient of the Segalovich Award, former lecturer at the Yandex School of Data Analysis (ShAD), author of 6 scientific publications. Research interests: unconventional methods for solving AI problems
Anton Kuropatov
Program Manager from the NEYMARK IT Campus. Lead AI Product Manager at YADRO, winner of regional and prize‑winner of international development marathons (hackathons) in the field of AI. Led the development of a product with an audience of 180 million users, built several startups from the ground up and led them to operational profitability. Research interests: integration of AI into business
How to enroll
2
Submit your application on Gosuslugi
You will need your passport and college diploma
3
Take the math and programming test
It will be held online with a proctor. You will solve 4 problems on the following topics: linear algebra and mathematical analysis, as well as algorithm theory and data structures
4
Sign the contract and pay for your studies
Everything is done online, which is quick and convenient
5
Start your studies
You are now an online student — congratulations!
All the benefits of in‑person learning and the advantages of online study
State-recognized diploma
You will receive a state-recognized master’s degree diploma in the field of 01.04.02 "Applied Mathematics and Computer Science" from the National Research University Higher School of Economics, with a supplement translated into English. The document will not indicate that the program was completed online
Study from
anywhere in the world
There’s no need to move to Moscow and you can study wherever you feel most comfortable. And if you’d like to visit HSE’s campus, we’ll help you arrange a visitor pass and look forward to seeing you
The opportunity to balance work and study
Course lectures are available immediately after if you can’t join live so that you can watch them at any time. Live classes are held on weekday evenings and are later made available as recordings. This allows you to continue your career while fitting your studies into your schedule
Student status, access to HSE’s online resources, and the option to visit campus
You have all the same benefits as HSE’s on-campus students
from ₽100,000
Junior Engineer
up to 1 year of experience
from ₽160,000
Middle Engineer
1–3 years of experience
from ₽300,000
Senior Engineer
3–5 years of experience
Career
Resume after graduation
Ivan Golovin
Computer Vision Engineer
Master’s Degree in Artificial Intelligence and Computer Vision, HSE University
(Skills)
Proficiency in Python and C++
Writing efficient and robust code for high-load systems
Writing efficient and robust code for high-load systems
Working with computer vision libraries
In-depth knowledge of OpenCV for 2D image analysis and video stream processing
In-depth knowledge of OpenCV for 2D image analysis and video stream processing
Development tools
Using Git for collaboration, CMake for building projects, and OpenVINO/TensorRT for optimizing models for specific hardware
Using Git for collaboration, CMake for building projects, and OpenVINO/TensorRT for optimizing models for specific hardware
Generative models
Skills in working with deep generative models (diffusion models, VAE) for content generation and deepfakes
Skills in working with deep generative models (diffusion models, VAE) for content generation and deepfakes
Data engineering
Ability to build a sequence of steps for data collection (parsing, APIs), cleaning, and annotation for model training
Ability to build a sequence of steps for data collection (parsing, APIs), cleaning, and annotation for model training
3D reconstruction
Creating 3D models of objects from photos and videos
Creating 3D models of objects from photos and videos
Video analysis
Object tracking, face recognition, and real-time action analysis
Object tracking, face recognition, and real-time action analysis
Teamwork
Experience managing projects using modern development methodologies
Experience managing projects using modern development methodologies
Defending technical solutions
Ability to present and justify technical solutions to clients
Ability to present and justify technical solutions to clients
Mobile development
Implementing AI algorithms in mobile apps for retail, healthcare, or fintech companies
Implementing AI algorithms in mobile apps for retail, healthcare, or fintech companies
Neural network design
Designing and training modern architecture such as convolutional neural networks (CNNs), transformer models, and generative adversarial networks (GANs) for classification, object detection, and segmentation tasks
Designing and training modern architecture such as convolutional neural networks (CNNs), transformer models, and generative adversarial networks (GANs) for classification, object detection, and segmentation tasks
(Tools)
Testimonials from our alumni about their experiences studying at HSE Online
Evgeny Zaborshchikov
Program graduate
I applied to the program in 2023, and the key factors in my decision were the online format and the practical focus of the courses. The online master’s program fully met my expectations.
Alexander Dadukhin
Program graduate
The program left a lasting impression on me thanks to the high quality of instruction and the well-designed course structure.
Denis Dagaev
Program graduate
What really caught my attention was the online format. At the time I enrolled, I was already working and running my own projects, so I hadn’t even considered in-person classes.
Evgeny Zaborshchikov
Program graduate
I applied to the program in 2023, and the key factors in my decision were the online format and the practical focus of the courses. The online master’s program fully met my expectations.
The curriculum is structured logically across 2 years, where the first year provides a solid foundation and the second is dedicated to in‑depth topics. This approach ensures a smooth transition into the field and gradual mastery of complex concepts. Studying in English is an added benefit, allowing me to develop my professional vocabulary. In computer science, English is the standard working language.
I appreciated the availability of university-wide elective courses. This provides an opportunity to go beyond the scope of the main specialization and study related disciplines. For example, I took additional courses in deep learning (DL).
I rate my master’s program positively and recommend this program to anyone interested in studying computer vision.
The curriculum is structured logically across 2 years, where the first year provides a solid foundation and the second is dedicated to in‑depth topics. This approach ensures a smooth transition into the field and gradual mastery of complex concepts. Studying in English is an added benefit, allowing me to develop my professional vocabulary. In computer science, English is the standard working language.
I appreciated the availability of university-wide elective courses. This provides an opportunity to go beyond the scope of the main specialization and study related disciplines. For example, I took additional courses in deep learning (DL).
I rate my master’s program positively and recommend this program to anyone interested in studying computer vision.
Alexander Dadukhin
Program graduate
The program left a lasting impression on me thanks to the high quality of instruction and the well-designed course structure.
I came to the program with an interest in computer vision, but with fragmented knowledge. For this reason, I was looking for a systematic approach, depth, and serious intellectual challenges, and this is exactly what I received. The program provides a fundamental theoretical foundation in computer vision and machine learning, which is immediately reinforced by practical assignments and complex engineering challenges.
Working on real-world applied projects was particularly valuable from classic image processing algorithms to generative models and the implementation of neural networks on mobile devices. Many practical assignments were designed to provide research experience.
The strong faculty, constant feedback, and relevance of the course materials made the learning experience truly in‑depth and systematic. The program helped me structure my knowledge and taught me to confidently apply computer vision in my professional field.
I came to the program with an interest in computer vision, but with fragmented knowledge. For this reason, I was looking for a systematic approach, depth, and serious intellectual challenges, and this is exactly what I received. The program provides a fundamental theoretical foundation in computer vision and machine learning, which is immediately reinforced by practical assignments and complex engineering challenges.
Working on real-world applied projects was particularly valuable from classic image processing algorithms to generative models and the implementation of neural networks on mobile devices. Many practical assignments were designed to provide research experience.
The strong faculty, constant feedback, and relevance of the course materials made the learning experience truly in‑depth and systematic. The program helped me structure my knowledge and taught me to confidently apply computer vision in my professional field.
Denis Dagaev
Program graduate
I completed the online master’s program in "Artificial Intelligence and Computer Vision" in 2025. To be honest, I didn't have high expectations going in, but the program really surprised me.
The main thing that caught my attention was the online format. At the time of admission, I was already working, developing projects, and hadn’t even considered on-campus study. But here — lectures on the go, homework on weekends, and 2−3 hours in the evening after work. A normal rhythm, without feeling like you’ve dropped out of life for two years.
I had a three-year break after my bachelor's degree, and I was really afraid it would be hard to get back into studying. But in the first semester, a lot of attention is paid to reviewing fundamental subjects: calculus, linear algebra, and programming, so it was comfortable to continue studying.
I was pleased that almost every course ends with a project — not an abstract exercise, but work that you can keep in your portfolio or use later. For me, as someone who thinks in terms of products, that was important.
In terms of content, we covered everything: from classic computer vision (CV) algorithms and data collection to model training and designing our own architectures. The materials are up‑to‑date, without the feeling that you’re learning technologies from five years ago. In our field, this is critical.
By the third module, I had already landed a well-paying position on a computer vision project — the program paid for itself before I even finished it. For me, that’s the best argument.
By the third module, I had already landed a well-paying position on a computer vision project — the program paid for itself before I even finished it. For me, that’s the best proof there is.
The main thing that caught my attention was the online format. At the time of admission, I was already working, developing projects, and hadn’t even considered on-campus study. But here — lectures on the go, homework on weekends, and 2−3 hours in the evening after work. A normal rhythm, without feeling like you’ve dropped out of life for two years.
I had a three-year break after my bachelor's degree, and I was really afraid it would be hard to get back into studying. But in the first semester, a lot of attention is paid to reviewing fundamental subjects: calculus, linear algebra, and programming, so it was comfortable to continue studying.
I was pleased that almost every course ends with a project — not an abstract exercise, but work that you can keep in your portfolio or use later. For me, as someone who thinks in terms of products, that was important.
In terms of content, we covered everything: from classic computer vision (CV) algorithms and data collection to model training and designing our own architectures. The materials are up‑to‑date, without the feeling that you’re learning technologies from five years ago. In our field, this is critical.
By the third module, I had already landed a well-paying position on a computer vision project — the program paid for itself before I even finished it. For me, that’s the best argument.
By the third module, I had already landed a well-paying position on a computer vision project — the program paid for itself before I even finished it. For me, that’s the best proof there is.
Tuition fees
250 000 ₽
per term
4 terms in total
Program Benefits
Installment plans available
Schedule a consultation to learn more
Our managers
Alina
Aldabergenova
Aldabergenova
Tatyana
Rylova
Rylova
Anna
Sokoreva
Sokoreva
Take the first step and sign up for a consultation
We’ll call you to tell you about the program and answer all your questions. It’s completely free of charge
Q&A
Yes, since this is a master’s program, you can only enroll if you have a bachelor’s or specialist degree.
We expect that you will be able to handle the entrance exams and the program if you studied mathematics and programming as part of your bachelor’s degree at a technical university.
To brush up on the necessary knowledge, you can take preparatory courses that provide an in-depth study of object-oriented programming and mathematics for computer vision.
To prepare even better for the entrance exam, check out the additional materials, such as sample exams, problem solutions, and recommended reading.
To brush up on the necessary knowledge, you can take preparatory courses that provide an in-depth study of object-oriented programming and mathematics for computer vision.
To prepare even better for the entrance exam, check out the additional materials, such as sample exams, problem solutions, and recommended reading.
Yes, to be admitted, you must take a test in mathematics and programming. The test will be administered online with a proctor. You will solve four problems covering the following topics: linear algebra and mathematical analysis, as well as algorithm theory and data structures.
To find out how to prepare for the exam, sign up for a free consultation.
To find out how to prepare for the exam, sign up for a free consultation.
You will need your passport and a college diploma.
To feel comfortable in the program, the minimum required level of English proficiency is B1 (intermediate).
For your convenience, we provide subtitles for every video, and all assignments and materials are translated into Russian. Synchronous classes for Russian-speaking students are conducted in their native language.
For your convenience, we provide subtitles for every video, and all assignments and materials are translated into Russian. Synchronous classes for Russian-speaking students are conducted in their native language.
Lectures are available shortly after each class, allowing you to watch them anytime if you can’t attend live. Seminars and live classes take place online on weekdays at 7:00 p.m. Moscow time, and are later made available as recordings. This way, you can continue your career and fit your studies into your schedule.
We recommend setting aside about 25 hours per week for classes and independent study in the online master’s program.
We recommend setting aside about 25 hours per week for classes and independent study in the online master’s program.
The program lasts two years, and this is a fixed duration. At the end of the second year, you will defend your final thesis.
You will receive a state-recognized master’s degree in the field of 01.04.02 "Applied Mathematics and Computer Science" from the National Research University Higher School of Economics, with a supplement translated into English. The document will not indicate that the program was completed online.
No, classes are delivered fully online in real time. Graduates receive a state-recognized diploma with a supplement translated into English. The document will not indicate that you studied online.
No, you do not need to visit HSE University campuses; you will submit your documents and defend your thesis online.
Tuition can be paid in four installments. The first installment is due upon signing the enrollment agreement, and the subsequent installments are due before the start of each semester.
Let us know what you’d like to do. We’ll then draw up an installment agreement in addition to the main contract and divide the tuition cost into a number of regular payments that work for you. Interest will not accrue.
Yes, in that case, we will draw up a tripartite agreement between you, your employer, and the university, and issue an invoice for payment.
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