International Programmes 2026/2027

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Data Science Data Science

Kiel University of Applied Sciences • Kiel

Degree
Master of Science
Course location
Kiel
Teaching language
  • English
Languages

Courses are held in English. Participants can undertake examination-related work and write the Master's thesis in either English or German.

Full-time / part-time
  • full-time
Programme duration
3 semesters
Beginning
Winter and summer semester
Application periods
The following is valid for applicants from: all countries
For the winter semester:
1 May - 15 July
The following is valid for applicants from: all countries
For the summer semester:
1 November - 15 January
Combined Master's degree / PhD programme
No
Joint degree / double degree programme
No
Description/content

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
Course organisation

https://moduldatenbank.fh-kiel.de/en-us/StudySubject/Info/51

A Diploma supplement will be issued
Yes
Course-specific, integrated German language courses
No
Course-specific, integrated English language courses
No
Tuition fees per semester
None
Semester contribution

397.70 EUR (including semester ticket for train/buses/ferry)

Costs of living

992 EUR

Funding opportunities within the university
No
Academic admission 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)
German language skills
No minimum language level required
English language skills
B2 required, please provide an official language certificate, e.g.:
  • Cambridge English Qualifications: B2 First
  • IELTS Academic: 5.5
Language requirements exemptions
Please find details on the course website.
Application periods
The following is valid for applicants from: all countries
For the winter semester:
1 May - 15 July
The following is valid for applicants from: all countries
For the summer semester:
1 November - 15 January
Submit application via
Please apply via uni-assist.
Possibility of finding part-time employment

Difficult

Accommodation

https://www.haw-kiel.de/en/international/incoming/international-students/degree-seeking-students/

Support for international students and doctoral candidates
  • Welcome event
  • Buddy programme

Kiel University of Applied Sciences

University location

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