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Бакалаврская программа «Программа двух дипломов НИУ ВШЭ и Лондонского университета "Прикладной анализ данных"»

Summary of Degree Programme

Field of Studies

01.03.02 Applied Mathematics and Informatics

Approved by
Approved by resolution of HSE academic council, Minutes of the Meetings #10 dated 27.10.2017
Last Update
Approved by resolution of academic counsil, Minutes of the Meeting 2.3-9/1904-1 dated 19.04.2019
Length of Studies, Mode of Studies, Credit Load

4 years

Full-time, 240 credits

Language of Instruction

ENG

Instruction in English

Track(s)
None
Degree Level

Bachelor

Double-degree Programme

Yes

Competitive Advantages

1. Studying at the faculty established by HSE and leading Russian IT company Yandex.
2. Programme is a product of cooperation with a leading global university of prominent reputation. The London School of Economics and Political Science designed and supervises ‘the British part’ of the programme. 
3. High-quality teaching.
4. Obtaining professional competences for a specific industry.
5. Rigorous project activities and research.
6. Wide network of partners.

Professional Activities and Competencies of Programme Graduates

The double-degree programme allows graduates  to quickly immerse themselves in a career anywhere in a global world. Also, they are capable of developing effectively over the course of their entire lives and are prepared for a wide range of professional trajectories, including data analysis, business analysis, financial analysis, systems analysis, developer work, IT consulting, and various IT specializations.
The programme’s graduates can find work as top specialists and experts at data-driven financial firms and software development companies. They can also engage in the development and set-up of information systems at major Russian and international companies thanks to their understanding of system architecture and ability to work with Big Data, as well as their skills in uncovering hidden dependency issues and specific information in a given field.

Programme Modules

The programme consists of several key components: a professional cycle, project and research work, and additional economic field, humanities subjects, English language instruction, and physical training.

During their first two years of study, students learn the fundamentals of mathematics and programming. The list of mathematical courses includes all key areas for computer specialists such as discrete mathematics, mathematic analysis, linear algebra and geometry, probability theory and statistics, as well as differential equations.

The programme’s mandatory courses have been developed in such a way, so that, by the end of their second year, students will be able to independently carry out a substantive programming project. As part of three mandatory courses, programming is presented from several perspectives. Initially, students learn about the fundamentals by taking the course “Basics and Methodologies of Programming” and learn Python and C++ languages. Then, they move on to the course “Algorithms and Data Structures”, which considers programming from a more theoretical point of view (e.g., how to approach problems, design and assess algorithms, identify key algorithms, etc.). Further on, students shall progress to the engineering side of this subject by taking the “Computer and Operational Systems Architecture” course, where they learn about how programs interface with computer systems, as well as about the operations of compilers and translators and the various components of operating systems. During their second year, students will have a chance to carry out an individual programming project, whereby, under the tutelage of a mentor (from the university or a partner IT firm in the finance sector), they will enhance their knowledge in programming, as well as gain valuable experience in developing software products.

During the third and fourth years of study, special attention is focused on applied analysis of data and machine learning in the financial sector. For instance, while studying the Business Analysis and Machine Learning courses, students will get to learn about methods and algorithms, relying on real-life examples taken from relevant sectors (e.g., financial risks, client predictors, scoring models, recommender systems, insurance processes, etc.).

Project work and research activities take up a fifth of the entire programme. This work includes a programming project, term paper, thesis, research seminars, as well as academic internships, industrial placement and pre-graduation internships.

Options for Students with Disabilities

This degree programme of HSE University is adapted for students with special educational needs (SEN) and disabilities. There is a specially designed Physical Education course available for such students (Syllabus of the adapted Physical Education course). 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.

Programme Documentation

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 'HSE and University of London Double Degree Programme in Data Science and Business Analytics'

Go to Programme Contents and Structure