Master of Computer Vision

Upon completion of the program, you will receive a Master of Computer Vision degree from HSE University. The online mode won’t be mentioned on the Diploma. You will receive the same Diploma as on-campus students.

The Diploma will be issued in Russian and you'll receive the Diploma Supplement in English (Supplement to Degree Certificate) — an official document that is recognized in other countries and confirms students’ qualifications. ‎

The program is a complete Master's degree program of the National Research University Higher School of Economics accredited by the Russian government. ‎

Three courses are available on Coursera within the Basics in Computer Vision Specialization: Mathematics for Computer Vision, 2D image processing and Object-oriented programming. These open courses are also included in the curriculum. Mathematics for Computer Vision is an adaptation course. The purpose of this course is to enhance students’ mathematics skills so that the further study of professional disciplines is possible. 2D image processing is a professional discipline. The course is devoted to the usage of computer vision libraries like OpenCV in 2D image processing. The course includes sections of image filtering and thresholding, edge/corner/interest point detection, local and global descriptors, video tracking. Object-oriented programming covers two object-oriented languages, Python and C ++. These languages are most often used when working on projects in the field of computer vision. ‎

Please contact the program team via mcv@hse.ru‎

You will have access to the degree content on Coursera. Live webinars will be held in two time slots to cover all time zones; live sessions will also be recorded for those who cannot attend.

The online format provides the following benefits:

• Opportunity to combine studies with work
• Opportunity to study with students from different countries and exchange professional experience
• 24-hour access to support services‎

The program is estimated at 24 months (two years) in length. The recommended completion period for the full program is 20-24 months.‎

The program is designed for two years. Approximate intensity is 30-40 hours per week. The number of courses is fixed. ‎

A student has to successfully complete 16 courses to get a diploma.‎

A student is required to take two courses at a time.‎

Yes, there will be an online graduation ceremony. ‎

Yes, transfer to the on-campus program is possible in accordance with the HSE student transfer regulations. ‎

Yes, all courses in the field of computer vision and data mining are taught by the HSE Faculty of Informatics, Mathematics and Computer Science.‎

Yes, all course instructors have a specific time when they are ready to answer students' questions on online platforms. The office hours of each instructor will be available to the students of the program.‎

Online students have access to the same resources as on-campus students, i.e. library, HSE Career Development Centre, Centre for Psychological Counselling, etc.‎

The student ID card is issued to all students upon request, but can be received only personally since HSE is not permitted to mail student IDs.‎

Yes, each cohort has access to communication tools within the cohort.‎

Yes. Online students have the same access to all the benefits as on-campus students. You will be supported by the HSE University Career Office in career development and employment.‎

The program curriculum contains an internship in the field of computer vision. In each course you’ll be working on the applied computer vision projects for IT companies under a tutor’s guidance. The topics for these projects will be determined by each tutor individually, in accordance with the current tasks and projects implemented in IT companies. All projects can be included into the professional portfolio of a student. ‎

Apply online via the HSE website.‎

There is no application fee.‎

No, you can not transfer credits into the program. ‎

There are tuition fee discounts up to 50% based on the country of residence.‎

For the Fall 2021 cohort the tuition fee is 1,320,000 RUB for the program. You do not need to pay the entire cost upfront; it is divided into four equal payments for four semesters of the program.‎

Prerequisites are:

• Bachelor’s or Master’s degree diploma
• Mathematical, technical or IT background is strongly recommended but not required
• English language proficiency

There will be an entrance test in mathematics and computer science in English. The main topics of the test are:

• Linear algebra
• Mathematical analysis
• Combinatorics and theory of probabilities
• Discrete mathematics
• Algorithms and data structures
• Basic programing C++ and Python‎

Presence of mathematical, technical or IT background is strongly recommended but not required. Work experience is not required.‎

If you are successfully admitted to the program, you will need to submit the following documents to HSE in order to officially enroll. We recommend that you prepare them early:

• Academic diploma with supplements/transcript
• Notarized translation of diploma with supplements/transcript into Russian
• Passport/ID
• Notarized translation of Passport/ID into Russian

Please read about the process of Legalization of documents.‎

The status of the submitted application can be checked at any time through your personal account.‎

Don’t worry, we are ready to help you as much as possible so that this situation does not happen. Before the entrance exam, we will host webinars and consultations to help you prepare effectively and perform in the best possible way. If you still could not get the required score on the exam, we will either help you choose a more suitable program for you, or we will additionally tell you how you can prepare for the exam in order to successfully pass it with the next cohort of students.‎

We have no special requirements for the knowledge of English, but in order to successfully study on the program you need to be able to read and write well in English. After passing the entrance exam, every applicant will have a personal interview with a program’s academic team, which will be enough to estimate English language skills.‎

International transcripts can be submitted through your personal account on the Application portal.‎

No, there are no additional requirements for the international students.‎