The admissions Committee has the final decision on whether a course is recognised as quantitative or not. Please provide a description of the content of the courses, especially if it is not clear.
You can indicate credit-bearing courses from all study programmes in the
self-assesment forms that you have taken, including those from Master’s
programmes.
Courses that are usually recognised as quantitative:
- All mathematics, statistics, and econometrics courses
- All courses that focus predominantly on mathematics, statistics or econometrics
- Computer courses in statistical software, e.g. Python, R, STATA, SPSS
- Data science courses with a focus on statistics or mathematics
Courses that are partly recognised as quantitative:
- Computer science courses
- Logic courses
Courses that are not recognised as quantitative:
- Courses without an examination or without an existing examination result
- All courses that are not predominantly focused on mathematics, statistics or econometrics.
- Game Theory
- Physics courses
- Macroeconomics, Microeconomics, Capital Market Theory, Financial Analysis, Management Science, Corporate Finance, International Economics, and other courses primarily related to Economics, Finance, or Business Management
- Logistics
- Internships
- Bachelor’s, Master’s or other final theses
- Employment (with or without pay) at a higher education institution, public or private sector, including tutors, working students, etc.
- Courses from non-government accredited higher education institutions, e.g. EdX, Coursera, Udacity and others.