Master in Data Analytics & Economics

The first Master in Switzerland to combine data analytics with the economics of markets and organisations. Be prepared for the challenges of the digital economy!

Programme Highlights

Unlock your potential with a Master in English that blends state-of-the-art academic education in data analytics, economics and computer science, taking into account the demands of digitalisation. Learn how to handle big data sets, work with artificial intelligence, programme in Python and R, understand markets, evaluate strategies, and analyse the economics of platforms. Customize your path with electives, benefit from a multilingual environment, and prepare for international careers shaping the digital economy.

 Study Plan

 Admission Requirements

Prerequisites are a Bachelor degree in Economics, Management, Business Informatics, including the basic courses of the Faculty, or equivalent: Mathematics I & II, Microeconomics I & II, Statistics I-III, and Business Informatics I & II. Proof of sufficient English language skills may be required, depending on the curriculum of the candidate.

• Bachelor degree from a Swiss university meeting the prerequisites: unconditional admission
• Bachelor degree in another discipline or from a foreign university: admission is based on a full review of the application.

For foreign degrees from outside the EU/EFTA, GMAT results are mandatory.

Where admission is granted, the SES Faculty may require the completion of additional Bachelor-level ECTS credits that need proof of French or German skills of a least B2 level.

• Bachelor degree from a Swiss University of Applied Sciences (HES) in Business Administration or Business Informatics: admission is possible with a standard supplement of 30 ECTS in French or German.

For special cases (e.g., foreign degrees or Bachelor degrees obtained more than eight years ago), admission is not automatic. Admission decisions are made on a case-by-case basis.

Applicants who are enrolled at the University of Fribourg and meet the admission requirements must submit their application via the MyUnifr portal.

 Language of study

The programme is taught in English, ensuring global accessibility. Some courses can be taken in French or German, adding linguistic depth and cultural insight. Fribourg’s bilingual environment makes your learning experience truly international.

 Mobility

An exceptional opportunity to shape your Master’s and strengthen your academic journey by spending one or two semesters abroad. Experience new cultures, expand your international network, and boost your CV with all credits obtained fully recognised.
Recommended semester: from the 2^nd semester onwards
Mobility mention: awarded from 30 validated ECTS

 Career Opportunities

This Master provides a strong foundation for careers in data analytics, AI, and economic strategy.

Internet platforms, market design, demand forecasting, recommender systems and dynamic pricing are just some examples of current application in which this kind of profile is in high demand.

Join tech companies, consulting firms, banks, NGOs, the federal administration, as well as a wide range of other private-sector and public organisations, applying advanced methods to solve complex challenges. Your interdisciplinary profile ensures relevance in both research and high-level professional roles.

 Testimonials

In the Master’s program in Data Analytics and Economics, I learned essential and practical skills for both daily analytical task and more advanced problem-solving—from querying databases and finding patterns in big data to building machine learning models. Hands-on programming along with real-life case studies made the learning truly inspiring. Guo Shupei, Specialist Actuary and Controlling at Atupri Gesundheitsversicherung AG