Data Science and Machine Learning

Applicants are eligible for admission if they have completed a Bachelor's degree of at least 180 ECTS credits (three year full-time study) in the fields of data science, mathematics, statistics, physics, computer science, or business informatics. All applicants must prove the following upon application:

• 30 ECTS credits (900 hours) in mathematics and computer science including at least
• 20 ECTS credits in mathematics, of which
• 5 ECTS credits in analysis or linear algebra and
• 5 ECTS credits in probability theory or statistics and
• 10 ECTS credits in computer science, of which
• 5 ECTS credits in the field of algorithms and
• 5 ECTS credits in a higher programming language (preferably Python).

If students can prove 20 ECTS credits in mathematics and 10 ECTS credits in computer science and do not miss more than 5 ECTS credits in either the areas of statistics, algorithms or programming, they may catch up on missing competencies in an additional module.

Students will be admitted based on a ranking order. The admissions committee will evaluate the applicant based on the documents presented. The degree of eligibility depends upon the sum of the points from categories A and B. The maximum number of points is 6.

Further points can be obtained through a relevant professional or scientific activity in the field of data science or machine learning (work experience, internships, bachelor's thesis; at least 3 months full-time work) - 1 point per activity, max. 2 points in total.

These qualifications are evaluated by the admissions committee.