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Data Analysis Technologies in Business
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HSE University
Bachelor’s Programme

Data Analysis Technologies in Business

New programme. First enrolment in 2025

The programme trains professionals in the field of data analysis and artificial intelligence who can solve complex business problems using modern technologies. Programme graduates will represent a new generation of digital economy specialists: data engineers, specialists in machine learning and artificial intelligence systems, project managers in data management, machine learning and AI, and business analysts. The training is implemented in partnership with Gazprombank JSC, which provides opportunities to work with real data and business cases, internships and practical experience under the guidance of leading industry experts.

 

International Admissions
Academic Supervisor
Makrushin, Sergey
Manager
Imangulov, Ruslan
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4 years
Full-time programme
255 000 –
850 000 RUB/year
Tuition Fee in 2025
Russian government and HSE scholarships and tuition fee waivers available
RUS+ENG
Instruction in Russian with some courses in English
State Accreditation
Independent Quality Assessment

News

Open Day: The Future Begins Here
On March 2, an HSE Open Day for prospective undergraduates and specialist students will take place — one of the largest and most significant events for applicants, their parents, and the entire university. Visitors will have the opportunity to speak with students and representatives of educational programmes, plan their admission process, and immerse themselves in the HSE University atmosphere for a day. The event will be held in Russian.
AdmissionsInvitation to participatemaster's programmes bachelor's programmesopen day
February 11
More news

Other Bachelor’s Programmes

Business Informatics

4 years
Full-time programme
RUS+ENG
Instruction in Russian with some courses in English

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4 years
Full-time programme
RUS+ENG
Instruction in Russian with some courses in English
HSE University → Bachelor's programmes → Graduate School of Business → Bachelor's Programme in Data Analysis Technologies in Business
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