Overview The programme brings together three complementary areas—econometric methods, management science & business intelligence, and economic behaviour & strategy—so you learn both how to extract reliable insights from data and how to use those insights to make and evaluate strategic decisions. Econometric methods covers statistical techniques and applied data analysis; management science & business intelligence focuses on data-driven planning and optimisation of business processes using operations research and data-science tools; and economic behaviour & strategy examines the psychological, social and game‑theoretic foundations of decision-making and strategic interaction.
Structure and outcomes You build a broad foundation in all three fields through core modules, then deepen your technical and theoretical expertise in a specialisation phase made up of elective modules. The programme trains you to combine quantitative methods with behavioural and strategic thinking so you can analyse individual, social and corporate decision problems in a data-based way, select and apply appropriate analytic tools, and interpret results critically. Practical teamwork, development of different problem-solving approaches, and the ability to present findings to both specialist and non‑specialist audiences are explicit components of the training. The programme is taught in English and designed for students interested in interdisciplinary quantitative decision-making.
What the programme expects of you
This two-year, 120-credit Master's is organized into modular blocks that build from core quantitative foundations to specialised applications and an independent research project. In the first semester you cover the programme’s methodological base—mathematics/statistics, programming, advanced econometrics, operations research and economic decision making—before moving into academic-skill training, elective specialisation and applied project work across semesters two and three. The degree concludes in the fourth semester with a research colloquium and a 30‑credit Master’s thesis. Modules are typically 6 CP and students normally take 30 CP per semester; teaching formats include lectures, tutorials, small-group sessions and project seminars.
The curriculum emphasises hands‑on, quantitative problem solving and academic research skills. After the fundamentals and the small‑group academic-skills course (including a personal development element), you choose up to seven specialisation modules across three subject fields—Econometrics; Management Science & Business Intelligence; and Economic Behaviour & Strategy—and may also take two modules from the programme’s free part. Two applied project seminars provide practical experience in one or two of these fields, preparing you for the thesis and for applying analytical methods to real research or management questions.
Program structure (credits & timing)
Key modules and expected learning outcomes
This setup gives you a clear progression from rigorous methodological training to applied work and an independent thesis, with flexibility to specialise according to your career or research interests.
This master's programme expects applicants to hold a Bachelor’s degree from a standard six‑semester (180 ECTS) undergraduate programme. The selection combines a review of your prior coursework (specific ECTS in relevant subjects) with an online entrance test that checks your quantitative and microeconomic foundations.
If you have not yet finished your Bachelor’s at the time of application, you may still be eligible provided you have already earned at least 135 ECTS out of the 180 ECTS expected for a six‑semester Bachelor’s programme. The online test is a 90‑minute multiple‑choice exam and covers material typically taught in mandatory Bachelor modules in economics and management.
Winter Semester (International)
15 May 2026
Winter Semester (EU/EEA)
15 May 2026
Graduates are prepared for data-driven roles that require rigorous quantitative analysis and strategic insight. Typical career paths include positions in consulting, data analytics and business intelligence teams, operations research and optimisation roles in industry, economic research departments, and public sector or policy institutions where evidence-based decision-making is essential.
The programme’s combination of econometric, optimisation and behavioural methods also provides a solid foundation for doctoral studies or further research-focused careers. Emphasis on project work and communication skills ensures graduates can present complex results to both technical peers and broader audiences.
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