Summary of Degree Programme
01.04.02 Applied Mathematics and Informatics
HSE University Educational Standard: Master's Degree (from 2022) (signature)
HSE University Educational Standard
Full-time, ECTS credits
Instruction in English
2023/2024 Academic year
2022/2023 Academic year
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.
List of Graduates’ Professional Competencies:
Able to organize research activities
Able to provide support to group-based academic communications and organize academic events
Able to organize training of specialists in new applied mathematical methods
Able to analyze and reproduce the intent of interdisciplinary texts with the use of applied mathematics and information sciences language and methods
Able to write interdisciplinary texts with the use of applied mathematical and information sciences language and methods
Able to formulate and make presentations of outcomes of professional activities with the application of information technologies
Able to engage in task-driven multi-criteria search, e.g., online, for data and information on the latest academic and technological breakthroughs and innovations
Able to create, describe and properly oversee execution of technological criteria and legal documentation in one’s professional activities
Able to generate, process, analyze and visualize large volumes of data
The programme consistes of 16 online training courses, divided into 4 blocks:
“Mathematics" (1 course) Basic course in the field of mathematics, necessary for the further development of disciplines
“Programming" (3 courses) Basic courses in the field of IT, necessary for the further development of disciplines
“Professional block" (9 courses) A professional block containing a modern theoretical and instrumental base in the field of computer vision. This block is focused on the study of theoretical approaches and tools for solving applied problems encountered in professional activities
“Project block" (2 courses) A project block that allows to test all the knowledge gained within the professional block on applied projects provided by partner companies)
A large final project (A final project providing you the opportunity to demonstrate a complexity of knowledge (both theoretical and practical) acquired in the program)
COR-3 - developing applicable programs with the use of various programming languages, creating information security solutions;
COR-4 - applying contemporary data analysis methods, e.g., programming skills, algorithmic and mathematical methods;
COR-5 - applying the latest neural networks to carry out applied tasks in computer vision activities;
COR-6 - applying software for analyzing and processing images and video sources.
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