Data Analytics for Business and Economics

Cross-Functional Competencies

The programme is based on in-depth training in data analysis and interpretation. Depending on the chosen track (Economics or Management), this core is supplemented by specialised disciplines that form a structured approach to problem-solving and decision-making in business and in the context of economic policy

An Applied Curriculum

The programme was developed taking into account employers’ requirements for specific knowledge and skills in demand in real workplace settings.

Experienced Teaching Staff

The programme's instructors are experts from both academia and business.

The programme has two study tracks:

1. Quantitative Economics and Mathematical Methods

Field of Study: 38.04.01 Economics

This track trains economics researchers who possess deep knowledge of modern economic theory and have advanced proficiency in economic and mathematical methods (econometrics, machine learning, and computer programmes).

The goal of the track is to prepare business analysts capable of building analytical models for business, conducting demand research, and analysing data on purchases, auctions, pricing experiments, and customer behaviour online.

Graduates will potentially be able to work in the analytical departments of large companies, commercial banks, insurance companies, investment funds, and other financial institutions.

2. Quantitative Business Analytics

Field of Study: 38.04.02 Management

By choosing this track, students master knowledge in management and analytical skills necessary for making effective data-driven decisions in business. The programme includes immersion in analytics for such key functional areas as, for instance marketing, HR, and product management. This approach not only opens a wide range of career opportunities but also allows for easier transitions between these fields in the future.

Furthermore, students learn to integrate analytical tools into companies' business processes. This gives graduates a deep understanding of digital transformation challenges and prepares them for the role of leaders in such changes.

• Enter a highly paid profession with good future prospects
• Enjoy opportunities to work remotely
• Master a new profession from scratch

• Analysing data to identify trends, solve business problems, and inform decisions across domains such as business operations, marketing, and scientific research.
• Processing and managing data, which involves cleaning, organising, and interpreting large volumes of information from various sources.
• Calculating and monitoring metrics by developing and tracking key performance indicators (KPIs) to assess effectiveness and outcomes.
• Creating dashboards and visualisations to communicate complex results clearly, highlight trends, and enable stakeholders to quickly grasp insights.
• Synthesising and communicating findings by translating technical analysis into clear recommendations for both technical teams and business stakeholders.

The programme is targeted at applicants who are focused on data analytics within an organisation.

Potential candidates must have a higher education in a STEM field or in economics and/or management, as well as the motivation to work in data analytics.
Candidates can be referred to the programme by organisations interested in the continuing professional development of their staff.

An important component of the curriculum is project-based activities within courses and dedicated projects, which allow students to consolidate the acquired knowledge and skills by solving real-world problems from partner companies.

Students have extensive opportunities to complete internships with HSE partner companies or at the university's research centres (for example, at the International Laboratory of Game Theory and Decision Making or Centre for Strategic Entrepreneurship), as well as to spend a semester studying at leading foreign business schools partnered with the HSE university.

The goal of the programme is to prepare a new generation of managers and economists who possess cross-functional competencies and are capable of making effective data-driven management decisions. Graduates will be able to apply modern tools for collecting, analysing, and visualising data to solve problems both within an individual company and in a broader economic context.

Graduates of the program will be qualified for the following positions:
1. Data Analyst
2. Business Analyst / BI Analyst
3. Marketing Analyst
4. HR Analyst
5. Product Analyst
6. Economic Analyst
7. Market Analyst

An additional objective of the programme is to provide those interested in pursuing an academic career with a deeper understanding of this field. Consequently, upon completion of their studies, graduates will be prepared to continue their academic careers by enrolling in doctoral programmes or other postgraduate programmes at universities abroad.

For international applicants:

1. Competitions / Olympiads:

Graduate international applicants are welcome to take part in the various competitions organised by HSE University. Learn more and register at https://olymp.hse.ru/en/

2. International Admissions:

All applicants have the opportunity to be enrolled as a self-paid student or get a scholarship from the Government of the Russian Federation. Self-paid students may be entitled to tuition fee discounts (25% or 50% of the tuition fee per year) based on the results of entrance trials.

Detailed information on the application process for international students is available here.

If you have any questions concerning international admissions, please email us iadmission-spb@hse.ru

3. General Admission (limited eligibility)

Certain categories of international applicants are eligible to apply for a state-funded (free of fees) place or for a self-funded place at our programmes along with Russian applicants. Find more here (page in Russian).

Please note: within the general admission international applicants will compete with Russian applicants.

For Russian applicants:

Please refer to the How to apply page in Russian.