Kiel University of Applied Sciences

Data Science

M.Sc. (Master of Science)
Subjects: Computer Science, Data Science, Statistics
English & German
Winter semester: 15 Sep
Summer semester: 15 Mar
Application Deadlines
1.5 Years (starting: Both semesters)
Tuition Fees (per semester)
Both semesters
Mode of admission:
without admission restriction
Study mode:
On campus
Registration Fee & Tuition Information:
There is an administrative fee for enrollment i. H. v. currently. 100 € due.


Qualification Requirements

Previous Degree

Bachelor’s degree (or equivalent). You must prove 30 credit points (according to ECTS) in the subject areas “Mathematics/Statistics” and “Computer Science”. At least 10 credit points (according to ECTS) must be proven in the subject "Mathematics / Statistics" and at least 10 credit points (according to ECTS) in the subject "Computer Science".

If the previous course has less than 210 credit points, but at least 180 credit points, the missing skills must be made up. As a rule, a total of 300 credit points should be achieved. Applicants will be notified of the competences to be proven and the latest possible time for their proof by the examination board at the start of the course.

GPA Rate 2.50
Additional Qualification

Applicants with a bachelor's degree obtained outside the Bologna area (members of the European Hiher Education Area) also need the following proof of qualification:

  • GRE with a minimum percentile of 55% in the quantitative reasoning part of the test.

Language Requirements

The following certificates are recognised as proof of your language proficience.

CEFR English
min B2
min B2 First (FCE)
Specification: Grade B or better.
min C1 Advanced (CAE)
Specification: Grade C or better.
min C2 Proficiency (CPE)
Specification: Grade C or better.
min B2 - 60 points
min 5.5
min 515
min 185
min 70
Does the university recognize "other equivalent language certificates"? no information provided by university

Additional information:
English language proficiency can also be proven through school reports proving the foreign language for at least 5 years until the degree that entitles you to university entrance (the final grade, possibly the average grade of the last two years, must be at least a German grade of 4 (sufficient) or 5 points), or by having English as mother tongue. No information regarding the German language skills required.

Application & Admission

Application Deadlines

Applications are open from:
Winter semester:May 01 (German)May 01 (EU)May 01 (Non EU)
Summer semester:November 01 (German)November 01 (EU)November 01 (Non EU)
Spring semester:
In 5 days free webinar
How to apply via uni-assist

Application Procedure & Selection

Mode of Admission:
without admission restriction
Admission Test/Interview:
Application Fee:

€ 75 for the first application, € 30 for each additional

Application Documents

Documents to be submitted (single copy):

  1. Signed application to determine the entry requirements or application for admission using the online form.
  2. Proof of the above-mentioned university degree (bachelor's certificate, performance overview with proven bachelor’s grade, etc.) or if the first university degree has not yet been completed: proof that 90% of the credit points required for the course have been achieved with the preliminary average grade.
  3. First university entrance qualification (Abitur, technical college entrance qualification, etc).
  4. Certificate of name change (e.g. marriage certificate).
  5. Complete evidence of previous study times by means of study certificates (when applying for a higher semester).
  6. Proof of previous achievements (when applying for a higher semester).
  7. Proof of English skills (see language requirements).
  8. If already available, proof of sufficient German language skills for applicants without a German university entrance qualification and without a German university degree (enrollment requirement in the case of admission).
  9. If you have acquired a bachelor's degree outside of the Bologna area: GRE (minimum percentile of 55% in the quantitative reasoning part).

Further Information

For more information please check the

Course Website