Data Science Kiel University of Applied Sciences
- Duration
- 3 semesters
- Language of instruction
- English
- Tuition fees
- No tuition fees
- Next application deadline
- 15 January 2027 (summer semester)
- Language level required
- English: B2German: None
Programme overview
Quick facts
- Degree
- MSc
- Duration
- 3 semesters
- Full-time / part-time
- Full-time
- Intake
- Winter and summer semester
- Joint degree / double degree programme
- No
- A Diploma supplement will be issued
- Yes
- Combined Master's degree / PhD programme
- No
Language of instruction
Courses are held in English. Participants can undertake examination-related work and write the Master's thesis in either English or German.
Programme description
The Master's degree programme in Data Science is designed as an interdisciplinary degree programme that enables students from a wide range of study domains (natural science, engineering, social sciences, etc.) to specialise in data science.
Curriculum
First semester of study:
- Optional: Pre-course Programming
- Tools and Programming Languages for Data Science
- Mathematics and Multivariate Statistics
- Data Visualisation and Visual Analytics
- Machine Learning
- Data Management
- Cloud Computing
Second semester of study:
- Social Media Analytics
- Big Data Technologies
- Deep Learning
- Application project
- Elective module (e.g. Generative AI, Ethical AI, Advanced Topics in Data Mining)
Third semester of study:
- Thesis
- Colloquium
Programme structure
Mode of study
- Fully on-site
Application and admission
Application period(s)
Winter semester
| Applicants from | Applications begin | Application deadline | |
|---|---|---|---|
All countries
|
1 May 2027
|
15 July 2027
|
Summer semester
| Applicants from | Applications begin | Application deadline | |
|---|---|---|---|
All countries
|
1 November 2026
|
15 January 2027
|
Academic admissions requirements
- Access to the Data Science Master’s degree programme is granted to those who have completed a Bachelor’s degree programme with a grade of at least 2.5. Applicants must also prove that they have earned 30 cumulative credit points (ECTS) in the subjects of Mathematics/Statistics and Computer Science. At least 10 credit points (according to ECTS) in the subject area of Mathematics/Statistics and at least 10 credit points (according to ECTS) in the subject area of Computer Science must be proven.
- If the previous course of study comprised 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 have been earned. At the beginning of the course of study, the examination board will inform applicants of the skills that need to be made up and the latest possible time for their proof of achievement.
- English language skills (details see below)
Applicants with a Bachelor’s degree from outside of the Bologna Area (member of the European Higher Education Area) also require proof of the following qualification:
- a GRE with a minimum score of 65% in all parts of the test (Verbal Reasoning, Quantitative Reasoning and Analytical Writing)
Language requirements
German language requirements
English language requirements
Accepted certificates include
| Certificates | Minimum result |
|---|---|
Cambridge English Qualifications
|
Total: B2 First
|
IELTS Academic
|
Total: 5.5 / 9
|
How to apply?
uni-assist
You can apply via uni-assist, the application processing service for international students.
Click hereCosts and funding
Tuition fees per semester
No tuition fees
Semester contribution
397.70 EUR (including semester ticket for train/buses/ferry)
Cost of living
992 EUR
Part-time employment
Difficult
Living & services
Support for international students
- Welcome event
- Buddy programme
Contact
Faculty of Media
- Name
- Prof Dr Tillmann Schwörer
- Address
- Grenzstrasse 3, 24149 Kiel
- Phone
- +49 4312104541