About the Programme
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 University 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.
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. LSE is one of the world’s leading universities, ranked #27 in the QS World Universities ranking. It places within the top 150 universities offering education and research in Computer Sciences and ranks 7th 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 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.
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 Information Science and Economics. In particular, the Master’s programme in Finance Technologies and Data Analysis, recently launched 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.
What will I study?
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- Mathematical disciplines essential for computer scientists: Discrete Mathematics, Mathematical Analysis, Linear Algebra and Geometry, Differential Equations, Probability Theory and Mathematical Statistics
- A set of compulsory courses in programming consistent with those offered within the programme in Applied Mathematics and Information Science
- Databases, Information Systems Framework
- Machine Learning and Applications
- A distinguished set of financial and economic subjects:Introduction to Economics
- Introduction to Econometrics
- Statistical Methods in Market Analysis
- Business and Management in a Global World
- A range of elective courses (Corporate Finance, Financial Mathematics, Managerial Economics, Electronic Business)
- Applied economic tasks solved during student projects, work for a Bachelor’s thesis, and within courses in Machine Learning and Business Analytics and Applied Statistics.
Curriculum outline
* Data science case studies OR Operations Research and Game Theory
** Quantitative finance
*** Asset pricing and financial markets OR Managerial economics
Career prospects
Graduates of the programme will enjoy high demand as qualified specialists in financial data-driven organizations, consulting and IT companies, and start-ups. Graduates’ skills in complex systems development, teamwork, and proficiency in handling big data and machine learning will help them to take leading positions and to be responsible for the digital transformation of business.
Possible employers include:
- Banking, investment and insurance companies (Sberbank, Alfa-Bank, Tinkoff Bank, WorldQuant, Moscow Stock Exchange)
- Leading Internet companies (Yandex, Mail.ru, Google, Facebook, Rambler)
- Leading software manufacturers (Microsoft, SAP, SAS, Qlik, etc.)
- Consulting (PWC, McKinsey&Co, Accenture, BCG, Glowbyte)
- IT-departments and data analysis departments of large mobile providers (Beeline, MTS, Megafon)