Data Science

Interdisciplinary Master's programme for students from various domains to specialise in data science.

Academic requirements

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

Minimum GPA

2.5 on German scale

English 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.

Accepted bachelor fields

Natural science, engineering, social sciences, etc.

APS Certificate

Yes

Thesis required

Yes

Tuition fee

None

Semester contribution

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

ECTS credits

90

Funding info

Tuition: None Semester contribution: 302.20 EUR (including semester ticket for train/buses/ferry)

Data Science graduates face excellent job prospects across all industries undergoing digital transformation. The programme's applied focus at a University of Applied Sciences ensures strong industry links and practical relevance for immediate career entry.

• 1

  Artificial Intelligence Engineering

  University of Passau

  Passau · Master of Science · English

• 2

  Human-Centred Artificial Intelligence

  University of Regensburg

  Regensburg · Master of Science · English

• 3

  Artificial Intelligence and Robotics (MSc)

  Hof University of Applied Sciences

  Hof · Master of Science · English

• 4

  Master's in Project Management & Data Science (MSc)

  HTW Berlin University of Applied Sciences

  Berlin · Master of Science · English

• 5

  MSc Data Analytics and Decision Science (DDS)

  RWTH Aachen University

  Aachen · Master of Science · English