Marketing & Finance (Double Degree master)
Study Marketing and Finance in Groningen and Münster to master two of the most important fields of international business.
Would you like to expand and deepen your knowledge in the field of Marketing Analytics and Data Science? Would you like to challenge yourself and combine your studies with a second Master’s with a focus on Finance?
Our two-year Double Degree Master's Marketing and Finance allows students to challenge themselves by focusing on the impact of digitalization on marketing. You will also learn how to use advanced statistical techniques in a responsible way to analyze data and design and evaluate marketing strategy.
To take part in this programme, you first need to study MSc Marketing: Marketing Analytics and Data Science (MADS) in Groningen, during which you can apply to study at Universität Münster in Germany.
Tailor this unique programme further:
- Gain two degrees in two years from two of Europe’s best business schools;
- Learn advanced statistical techniques to analyze big data while also considering ethical implications;
- Specialize in two relevant fields: marketing and finance;
- Gain hands-on experience with assignments using the latest tools like Google Analytics 4.
IELTS Academic overall score 6.5 (Speaking 6, Writing 6.5); TOEFL internet-based overall score 90 (Speaking 20, Writing 24); Cambridge C1 Advanced or C2 Proficiency (overall score 176, Speaking 169, Writing 176).
You cannot directly apply for admission to this Double Degree Master's. Instead, you will first have to enrol in the MSc in Marketing - Marketing Analytics and Data Science (MADS). After the first semester, you can apply for the add-on year in Münster. Students need to have who have an average grade of at least 7.2 in order to be considered for admission. Selection is based on grades and motivation.
Checklist including brief description (max. 20 pages) of relevant courses you have taken in the field of the specific Master programme you are applying for, and of any courses in research methods and statistics. Course descriptions must include a description of topics covered in the course, learning objectives and a literature list of the course book(s) used in each course.
Job examples
- Data and analytics consultant
- Business intelligence developer
- Marketing researcher
- Researcher at a university (Research Master & PhD programmes)
- Data scientist
- Marketing strategy consultant
- Data analyst
- Business analyst
- Client technology lead
- Marketing data advisor
