Overview
The Data Science and Business Analytics of HSE University 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.
Career:
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.
Potential 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)
Accreditation
State Accreditation
Programme Structure
- Course included:
- 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.
Key information
Duration
- Full-time
- 48 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
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Credits
Delivered
Campus Location
- Moscow, Russia
Disciplines
Business Intelligence Data Science & Big Data Machine LearningWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
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- Trusted by 300k learners
- 98 accuracy using real exam data
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Other requirements
General requirements
- International applicants have to pass 2 examinations: English language and Mathematics. All examinations are held in English.
- The minimum required scores to be considered for admission are 70 in Math and 70 in English.
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.
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.
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Tuition Fees
-
International Applies to you
Applies to youNon-residents780000 RUB / year≈ 780000 RUB / year
Living costs
Moscow
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
International students can apply to study at HSE for free through full-tuition scholarships and partial grants. Here is a link to explore: https://admissions.hse.ru/en/graduate-apply/financial-aid
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Scholarships Information
Below you will find Bachelor's scholarship opportunities for Data Science and Business Analytics.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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