The aim of this programme is to train analysts and data scientists who are experienced in modern methods of machine learning, software development, working with big data and developing analytical models for business. The programme is based on the successful experience of H.S.E.’s Bachelor’s programme in Applied Mathematics and Informatics and the longstanding work of the London School of Economic and Political Science (University of London).
Graduates of the programme will receive:
Bachelor of Sciences in Applied Mathematics and Informatics, H.S.E.
Bachelor of Sciences in Data Science and Business Analytics, L.S.E. (University of London)
Advantages of the programme
1. Studying at the faculty established by H.S.E. 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 hands-on experience is key to preparing specialists who are qualified enough to tackle a wide range of IT challenges immediately upon graduation.
2. UK university partner with a prominent and established reputation
The London School of Economics and Political Science designed and will supervise ‘the British part’ of the programme. L.S.E. 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.
3. High-quality Teaching
Experienced teaching staff who also contributed to developing the Bachelor’s programme in Applied Mathematics and Information Science
4. Obtaining professional competencies 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.
5. 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.
6. 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.
7. 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.