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Bachelor's Programme in Data Science and Business Analytics
Data Science and Business Analytics
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 HSE University’s Bachelor’s programme in Applied Mathematics and Informatics and the longstanding work of the London School of Economics and Political Science (University of London).
Graduates of the programme will receive: Bachelor of Science in Applied Mathematics and Informatics, HSE University
Russian government and HSE scholarships and tuition fee waivers not applicable
The Bachelor’s programme in Data Science and Business Analytics offered by HSE University and the University of London aims to train analysts and data scientists in modern methods of machine learning, software development, working with big data and developing analytical models for business.
This unique in Russia programme is based on the successful experience of HSE University’s Bachelor’s programme in Applied Mathematics and Information Science and the longstanding work of the London School of Economics and Political Science (University of London). Graduates receive a diploma in Bachelor of Science in Applied Mathematics and Informatics from HSE University and will be prepared for University of London exams.
The diversity of coursework leading to these degrees will equip you with applied skills in a variety of areas, including data handling and hypothesis testing, which will enable you to solve tasks creatively and efficiently.
Who should consider this programme
Prospective undergraduates who have an interest in data science and applied economics, specifically in the financial industry, are encouraged to apply. Upon graduation, you will be an in-demand specialist qualified to work in data-driven financial organizations, consulting and IT companies, and start-ups, among others.
This programme is right for you if you have an interest in:
International educational experience with exposure to leading partner organizations, including banks, consulting firms, and other financial industry companies
During your studies
While enrolled in the programme, you will:
Gain knowledge of the foundations of applied probability and statistics and their relevance in day-to-day data analysis
Develop an understanding of computing concepts and application requirements involving massive computing needs and data storage
Learn how to apply various data visualization techniques using real-world datasets
Develop an understanding of web analytics and metrics, as well as the ability to investigate hidden patterns
Develop your knowledge-discovery skills using data mining techniques and tools involving large amounts of data
Learn how to implement machine learning algorithms and recognize their pertinence in real-world applications
Gain comprehensive knowledge of data analytics techniques and skills, as well as an understanding of the possibilities and limitations of their applications
The programme’s curriculum is delivered by highly qualified teaching staff who helped develop the Bachelor’s programme in Applied Mathematics and Information Science. Your academic coursework will cover:
Required courses in programming aligned with those offered under the Applied Mathematics and Information Science programme
Maths subjects essential for computer scientists, including Discrete Mathematics, Calculus, Linear Algebra and Geometry, Differential Equations, Probability Theory and Mathematical Statistics
Databases and Information Systems Framework
Machine Learning and Applications
Introduction to Economics
Introduction to Econometrics
Statistical Methods in Market Analysis
Business and Management in a Global Context
A range of elective courses (e.g., Corporate Finance, Financial Mathematics, Managerial Economics, and Electronic Business)
A significant part of the programme consists of hands-on courses and a project carried out under the supervision of a mentor from an IT company. During your third and fourth years, you will also be able to choose whether to focus on research activities or continue honing your project skills by working on team projects offered by the faculty’s industry partners. Student projects are mostly related to the financial industry.
The comprehensive and in-depth training you receive in data science and business analytics will make you competitive for career opportunities in a variety of organizations driven by financial data, consulting and IT companies, and start-ups, among others.
Potential employers include:
Banking, investment and insurance companies (e.g., Sberbank, Alfa-Bank, Tinkoff Bank, WorldQuant, and the Moscow Stock Exchange)
Leading internet companies (e.g., Yandex, Mail.ru, Google, Facebook, and Rambler)
Leading software manufacturers (e.g., Microsoft, SAP, SAS, Qlik, etc.)
IT-departments and data analysis departments of large mobile providers (Beeline, MTS, Megafon)
How to apply
If you are interested in enrolling in Bachelor’s programme in Data Science and Business Analytics offered by HSE University and have not taken the Russian Unified State Exam (EGE), you will need to follow an application process that consists of two stages:
1. Preparatory stage (remote) which involves registering in the online application system and submitting your documents
2. Examination stage (online or in Moscow), which consists of taking entrance exams in Mathematics and English. Additional information on these exams:
Mathematics Minimum of 70 points required
English Language Minimum of 70 points required
You may want to check the samples of examination programmes -- please visit here
The start of a new academic year is an excellent time to plan the next steps in your academic career. On September 1, HSE University announced the start of its annual Student Research Paper Competition (SRPC-2022). Participation is open to students of Russian and international universities and to 2022 graduates. Last year, a total of 2,196 papers were submitted to the SRPC, of which 435 were from external participants.
The new reality presents a number of issues for international students—particularly those joining HSE University in 2022. What changes will there be in the university’s education system? What will happen if a student is unable to come to Moscow by September 1? What is the university doing to help international students adapt? Vice Rector Ivan Prostakov spoke to the HSE News Service to answer these questions and more.