Data Science and Machine Learning - Master's Programme

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, business informatics or a closely related field. 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).

Students without a degree in the fields of data science, mathematics, statistics, physics, computer science, or business informatics must prove an additional 15 ECTS credits (450 hours) in data science. Competencies in data science can also be proven with work experience in the field.

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 the areas of statistics and a maximum of 5 ECTS credits in 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.

Category A

Grade average of qualified Bachelor's degree

1.00 to 1.5 4 points
1.51 to 1.75 3.5 points
1.76 to 2.0 3 points
2.01 to 2.25 2.5 points
2.26 to 2.5 2 points
2.51 to 2.75 1.5 points
2.76 to 3.0 1 point

For the conversion of marks from abroad, see:
https://uol.de/en/students/recognition/abroad

Category B
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.

Documents to be included in the application

The following documents must be enclosed with the application in German or English. (Documents in other languages will need to be accompanied by certified translations):

• Bachelor's degree and transcript of records (certified for applications via the university)
• proof of the number of semesters studied thus far (for applications via the university)
• completed specific eligibility form (to be found on course website and in application portal)
• proof of mastery of English (see language requirements)
• if applicable,
  • certificates concerning relevant internships or work experience (e.g. employer's reference, internship certificate, supervisor's certificate)
  • the subject of the Bachelor's thesis

We do not ask for letters of recommendation or letters of motivation!