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

at Higher School of Economics - National Research University

Degree :
 Bachelor
Subject area:
 Mathematical and natural sciences
Subject:
 01.00.00 Mathematics and mechanics
Location:
 Moscow, Russia
Duration:
 4 Years
Study type:
 Full time
Language of instruction:
 English
Start date:
 01-09-2019
Application deadline:
 30-07-2019
School:
 Faculty of Computer Science
Tuition fees per year:
 USD 9350
Note: For CIS students tution fee is 620000 per year
20 Myasnitskaya Street, Moscow, Russia, 101000, HSE University

Faculty of Computer Science

Course Summary

The programme is aimed at educating well-versed analysts and data scientists to have knowledge in applied economics, specifically the financial industry. The main goal is to equip students with solid applied skills enabling them to solve tasks creatively and efficiently.

Major goals of the programme:

  • to provide rigorous training in mathematical courses, which is the necessary foundation for traditional quality higher education in Russia
  • to build competences in various domains of programming and modern information science, such as data analysis, machine learning, software design and development
  • to emphasize technical skills in working with big data and building analytical models to reach financial goals of businesses
  • to immerse students in an environment where courses are taught entirely in English, which will also contribute to a student’s adaptation to the international system of higher education and enhance his future employment and academic prospects on global markets

Advantages of the programme

  1. Studying at the faculty established by HSE and Yandex

 In 2014, the Higher School of Economics and Yandex, a leading Russian IT company, established the Faculty of Computer Science where the intersection of academic science and cutting-edge hands-on experience is key to preparing specialists who are qualified to tackle a wide range of IT challenges immediately upon graduation. 

  1. Programme is a product of cooperation with a leading global university of prominent reputation

 The London School of Economics and Political Science designed and will supervise ‘the British part’ of the programme. LSE is one of the world’s leading universities, ranked #35 in the QS World Universities ranking. It places within the top 150 universities offering education and research in Computer Sciences and ranks 5th in Economics. 

  1. High-quality teaching

 Experienced teaching staff who also contributed to developing the Bachelor’s programme in Applied Mathematics and Information Science 

  1. Obtaining professional competences for a specific industry

 The programme offers a cluster of financial and economic disciplines and applied courses that introduce students to real-world cases and teach them how value added can be accumulated. 

  1. Access to continuing education at top-notch Master’s programmes in Applied Mathematics, Information Science and Economics

 The programme’s graduates have broad prospects to enter best Master’s programmes in both Applied Mathematics and Informatics and Economics. In particular, the new Master’s programme in Finance Technologies and Data Analysis, launched in 2017 in collaboration with Sberbank – Russia’s leading bank championing innovative IT transformation – welcomes graduates of the programme. 

  1. Rigorous project activities and research

 A significant part of the programme consists of hands-on courses which are introduced in the second year when each student carries out a programming project under the supervision of a mentor from an IT company. During their third and fourth years, students can choose whether to focus on research activities or continue honing their project skills by working on team projects offered by the faculty’s industry partners. Student projects will mostly be related to the financial industry. 

  1. Wide network of partners

 The faculty partners with large banks (Sberbank, Alfa-Bank, Tinkoff Bank), consulting companies (PwC, McKinseу&Co), financial (Moscow Stock Exchange, Foreksis, Worldquant) and other types of companies that may be considered potential employers (SAS, MTS). The number of partnerships is consistently growing. While some partners’ employees will be mentoring student projects, others will teach them to solve real-world cases within the Business Analytics and Applied Statistics course and research seminar.

 

Admission Requirements

International applicants have to pass 2 examinations: English language and Mathematics. All examinations are held in English.

Requirements to international applicants

We expect high-skilled and motivated applicants who possess high level of English knowledge and solid mathematical background. Applicants must be high school graduates. We accept students with high school certificate from around the world. The level of received high school education should be equivalent to the US, British or Russian level of high school education.

Proficiency in English

We expect that applicants’ entry level of English is equivalent to an overall score of at least 5.0 of International English Language Testing System (IELTS). Russian applicants must provide their Unified State Exam (USE) score in English; the minimum score for eligible application is 70 out of 100. International applicants are to take the HSE entry exam in English. No language certificates are accepted for the purpose of admission.

Proficiency in Mathematics

We are looking for applicants with strong mathematical background. This is due to the structure of the degree programme for which high levels of mathematical ability are essential. Thus it is a requirement that applicants have completed the course of Mathematics in high school in the USA, the UK, Russia or other equivalent. The final grade for high school Mathematics course should be 70% of maximum score or higher. Russian applicants must provide their Unified State Exam (USE) score in Mathematics; the minimum score for eligible application is 65 out of 100.

Selection criteria

The minimum requirement for applicants is to have 135 scores out of 200 for the sum of 2 USE exams. However, the recommended level is 160 and higher. The admission criteria are the same for both Russian and international students.

 

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