International Programmes 2023/2024

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Data Science Data Science

Kiel University of Applied Sciences • Kiel

Degree
Master of Science
Teaching language
  • English
Languages

English

Full-time / part-time
  • full-time
Programme duration
3 semesters
Beginning
Winter and summer semester
Application deadline

https://www.fh-kiel.de/en/degree-courses/information-for-prospective-students/courses-and-application/

Tuition fees per semester in EUR
None
Combined Master's degree / PhD programme
No
Joint degree / double degree programme
No
Description/content

Curriculum

First semester of study:

  • Data Visualisation and Visual Analytics
  • Tools and Programming Languages for Data Science
  • Mathematics and Multivariate Statistics
  • Machine Learning
  • Data Management
  • Cloud Computing

Second semester of study

  • Social Media Analytics
  • Big Data Technologies
  • Deep Learning
  • Application project
  • Elective module

Third semester of study

  • Thesis
  • Colloquium

The extensive international exchange programme of Kiel University of Applied Sciences provides opportunities for Master's students to travel to different countries and immerse themselves in different cultures within the context of considering how globalisation and new industry growth areas can be used to support innovation, research, and development.

Course organisation

https://www.fh-kiel.de/en/degree-courses/information-for-prospective-students/courses-and-application/data-science/

A Diploma supplement will be issued
Yes
International elements
  • International guest lecturers
Course-specific, integrated German language courses
No
Course-specific, integrated English language courses
No
Tuition fees per semester in EUR
None
Semester contribution

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

Costs of living

850 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 55% in the Quantitative Reasoning part of the test
Language requirements

Evidence of English language skills that correspond to at least level B2 of the Common European Framework of Reference for Languages is required. Examples of accepted evidence can be found in Section 7 of the Examination Regulations for the Master’s degree in Data Science.

Application deadline

https://www.fh-kiel.de/en/degree-courses/information-for-prospective-students/courses-and-application/

Submit application to

https://www.uni-assist.de/en/

Fachhochschule Kiel
c/o uni-assist e.V.
11507 Berlin
Germany

Kiel University of Applied Sciences

University location

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