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Artificial Intelligence and Computer Vision
Master’s Programme

Artificial Intelligence and Computer Vision

2 years
eLearning programme
ENG
Instruction in English

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In it, the academic director of the education program answers questions about enrollment.

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“Artificial Intelligence and Computer Vision": Become a sought-after AI specialist

The master's program “Artificial Intelligence and Computer Vision” is developed in partnership with industry leaders: Huawei, RoundU, SBERLAB and AIRI. We train specialists capable of solving problems in object recognition, 3D-reconstruction, mobile application development and machine learning implementation in industry, medicine, retail and banking.

Nizhny Novgorod is the birthplace of the OpenCV library. The developers who pioneered OpenCV are currently involved in the development and implementation of the program, and continue to develop cutting-edge Computer Vision projects in our city.

Watch a video about our educational program:

What disciplines are covered in the program?

The program combines fundamental and applied knowledge, covering key areas: mathematics, data analysis, machine learning and computer vision. The program instructors are experts from leading companies who not only have deep theoretical knowledge, but also share real-world experience gained while working on large-scale projects in the industry. The partner of the program is Neimark IT Campus, which helps us to train high-level specialists.

The training program is filled with courses that meet modern standards and demands for specialists.

In two years you will master the following areas:

  • Deep Generative Models - creating realistic images and videos.
  • 2D Image Processing - image processing and analysis.
  • Visual Geometry and 3D Image Processing - working with 3D reconstructions.
  • Modern Tools for Solving Computer Vision Problems - mastering actual tools.

Course List

What do we give to students?

We offer our students comprehensive training that includes theoretical study of the fundamentals of artificial intelligence, machine learning and computer vision. In the process, students acquire practical skills by working on real-world projects, such as developing mobile applications and creating 3D models. Upon completion of the program, graduates have the expertise to independently develop and implement solutions based on AI and computer vision technologies.

After training on the program you will become a sought-after specialist capable of working in companies of YADRO, SBER, Yandex, as well as in leading foreign companies. You will be able to solve complex problems in the field of object recognition, image processing and implementation of artificial intelligence in various industries. In addition, the program opens up opportunities for a scientific career or launching your own startup, providing all the necessary technical skills and knowledge to successfully implement ambitious projects.

Get more info

Apply 2025

Who should consider this programme

Recent graduates and other professionals with an interest in

  • artificial intelligence (AI)
  • data science
  • code
  • brain patterns
  • algorithms

Students, who hold a bachelor’s degree in Mathematics, Engineering, IT, Computer Science and other relevant fields, are encouraged to apply to the programme.

Benefits of the programme

  • opportunity to study online
  • 24/7 support for our students
  • real work and projects aimed at solving problems and developing innovations
  • professional environment and student community

Career opportunities

The knowledge and skills gained during the master's programme will prepare you to pursue a career with Russian or international companies that demand professionals with the ability to work on complex tasks using a wide range of modern technologies and who are able to demonstrate a high degree of adaptation to the new professional environment.

Graduates of the programme have pursued positions such as

  • Computer Vision Software Engineer,
  • Perception Engineer,
  • 3D Perception/Computer Vision Algorithm Engineer,
  • Computer Vision Testing Engineer,
  • Computer Vision Scientist.

In addition, graduates have gone on to complete advanced study and pursue academic careers.


How to apply

The programme is open to students trained to work as engineers, programmers, IT specialists, developers, and experts in computing and applied mathematics.


a bachelor's degree
or the equivalent

Python and C++ skills


entrance exams in both Mathematics and Computer Science that are conducted in English


Get more info

Apply 2025

During your studies

Program combines both synchronous and asynchronous activities.

You will study 18 courses per 2 years, 2-3 courses in parallel per module.

 In order to successfully complete the programme, students must earn 120 ECTS credits. Successful graduates will receive a Master’s degree in Computer vision from HSE University.

Online

  • Asynchronous studying the courses in your comfortable schedule (20 -30 hours a week)
  • Foundational courses in mathematics and information technology
  • A professional block containing a modern theoretical and instrumental base in the field of computer vision and focused on the study of theoretical approaches and means of solving applied problems arising in professional activity

 


Interactive projects

  • Synchronous ZOOM webinars with groupmates and teachers, 6 per module.
  • Synchronous ZOOM consultations with teachers, every week.
  • A project block that allows students to test in practice all the knowledge gained in the professional block through applied projects provided by partner companies

 


Final project

  • A large final project that allows students to demonstrate the entire range of knowledge (both theoretical and practical) acquired during their studies

 



Program experts

Andrey Savchenko

Full HSE Professor, Leading research Fellow in International Laboratory of Algorithms and Technologies for Network Analysis. MCV Academic supervisor.

Anna Petrovicheva

CEO Experience.ai, a company delivering deep learning and computer vision solutions. Previously she developed data analytics software at Intel

Batsyn Mikhail

Leading research fellow in HSE. Academic supervisor of master program: Data Mining. MCV lecturer.

Valerii Kalyagin

Full HSE Professor. Head of the International laboratory of algorithms and technologies for network analysis. MCV lecturer.

Alexander Rassadin

Leading computer vision developer, Round.U. MCV lecturer.

Maxim Kazakov

Development project leader at Huawei. MCV lecturer.



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Will I be able to apply if I am a foreigner/I am abroad?

Will the price changed. How I can pay?

News

On December 5, the award ceremony of the RUSSOFT ranking of top universities took place. The ranking assesses the quality and scale of specialist training in the field of software development among Russian educational institutions. HSE University took fourth place in the 2024 rankings and was named a ‘federal leader.’
December 06, 2024
The history of AI research in Nizhny Novgorod dates back to the 1960s and 1970s. Today, AI technologies, from voice assistants and smart home systems to digital twin creation and genome sequencing, are revolutionising our life. Natalia Aseeva, Dean of the Faculty of Informatics, Mathematics and Computer Science at HSE Campus in Nizhny Novgorod, discusses how the advancement of AI connects science, business, and education.
July 31, 2024
The AI Alliance Russia has released a new ranking of Russian universities based on the quality of education in the field of AI. Similar to last year, HSE University has joined the leaders in A+ group alongside MIPT and ITMO. A total of 207 universities from 69 Russian regions participated in the ranking. In 2024, over 35,000 students were enrolled in AI-related programmes at these universities.
July 22, 2024
Developments in the field of artificial intelligence are gradually taking over the world. AI has the potential to bring incredible benefits to the global economy and our quality of life, but it also creates new challenges. Panos Pardalos, Professor at the University of Florida, Academic Supervisor of the Laboratory of Algorithms and Technologies for Networks Analysis (Nizhny Novgorod), covered these issues, along with other related topics, in his recent report.
May 13, 2024
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