Marketing - Marketing Analytics and Data Science
Study Marketing Analytics and Data Science in Groningen to master big data techniques, assess marketing performance, and generate valuable customer insights.
In the Marketing Analytics and Data Science (MADS) profile , you will become an expert in marketing analytics and gain a thorough understanding of how digitalization impacts marketing. In this one-year programme you will:
- learn to responsibly use advanced statistical techniques to analyse big data;
- explore how consumers, firms, and society can benefit from data science while also considering ethical implications;
- gain hands-on experience with assignments using the latest tools like Google Analytics 4.
Applicants have to prove their English language skills either by an internationally recognized language test or upon previous studies. Usually English language skills can be proved by the following documents:
- TOEFL iBT*
- IELTS Academic
- A Cambridge English qualification
- Higher education degree completed in English
- Secondary education completed in English in a country or school qualification accepted by the university
- An English subject and grade on your secondary school leaving certificate that meet the university’s requirements
- Other
Important: Accepted methods and minimum results depend on study programme and the country where you completed your education. Check the official requirements for your chosen study programme.
*Use the Kastu promo code LTU1000102 when registering for TOEFL iBT and receive a 5% discount.
To be eligible for admission to this Master, you need to hold an academic Bachelor's or Master's degree from a research university in one of the following - or closely related - fields: Business Economics, Business Administration, Econometrics and Operations Research, Economics and Business Economics, International Business, Technology Management.
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
