TOP QUALITY LEARNING

Program team has been working on computer vision more than 11 years

International Laboratory of Algorithms and Technologies for Network Analysis LATNA  is deeply working on data analysis research projects in computer vision field, so all students are able to participate in professional researches  and pretend to be included into list of publications and papers authors

The rigorous curriculum combines core data science courses (like machine learning, 2D image processing, object oriented programming) with very specific and narrow courses to master exactly professional skills (like Deep learning in computer vision, Applied tasks in computer vision)

The Students will learn the subjects from real practicing CV engineers from top IT companies including Intel and Huawei

INTARACTIVE AND ENGAGING

All teaching staff works around the teaching of computer vision their students and solving real computer vision problems daily at work that allows both sides to be in trends in computer vision field

Students get access to direct communication with program team through several online channels 

Online student has all the same access to the HSE on campus student services

Students are able to participate in computer vision research projects held by scientific research group of HSE university

Asynchronous and adaptive synchronous events for dofferent time zones

MODULAR AND STACKABALE

The rigorous balance of theory and practice. Program includes only few theoretical basic courses while others involve applied projects.

To start the degree students don`t need to have particularly kind of bachelor degree. Students will need experience in Mathematics,  Python and C++ to enter the program and there is a great possibility to brush up on these skills in advance through

Free application process and entrance examination

The programme’s graduates will be able to work on various projects in object recognition, 3D reconstruction and photo-filtering, mobile apps for object recognition using photographic and video sources, ML application in all types of industrial operations, retail, medicine, banking, etc.

This degree programme of HSE University is adapted for students with special educational needs (SEN) and disabilities. Special assistive technology and teaching aids are used for collective and individual learning of students with SEN and disabilities. The specific adaptive features of the programme are listed in each subject's full syllabus and are available to students through the online Learning Management System.

All documents of the degree programme are stored electronically on this website. Curricula, calendar plans, and syllabi are developed and approved electronically in corporate information systems. Their current versions are automatically published on the website of the degree programme. Up-to-date teaching and learning guides, assessment tools, and other relevant documents are stored on the website of the degree programme in accordance with the local regulatory acts of HSE University.

I hereby confirm that the degree programme documents posted on this website are fully up-to-date.

Vice Rector Sergey Yu. Roshchin

Summary of Degree Programme 'Artificial Intelligence and Computer Vision'