International University of Applied Sciences

Master of Science - Data Science

The business world is highly dependent on analysing, evaluating, and optimising performance to stay competitive—and data scientists enable this. With a Master’s in Data Science, that could be you.

From the optimisation of existing production lines to the creation of new business models: data-driven decisions are at the centre of digital business. Data is becoming a most important asset to tackling the challenges of tomorrow. Learning to utilise data as part of a Master’s in Data Science will open the door to numerous career opportunities that could take you anywhere in the world.

master of data science

Your Degree Summed Up


  STUDY MODEL

Master of Science (M.Sc.)

60 ECTS – 2 semesters online or 1 semester online, 1 semester on-campus
120 ECTS – 1 semesters online, 3 semesters on-campus


  ACCREDITATION

120 ECTS option and 60 ECTS option (European Credit Transfer System). Accredited in line with German and European standards


  DURATION OF STUDY

4 semesters – 24 months – 120 ECTS option
2 semesters – 12 months – 60 ECTS option


  ADMISSION

120 ECTS – Bachelor degree – minimum 3 years
60 ECTS – Bachelor degree – 4 years
Previous study in Math, Statistics, Programming, Computer Science or proof of work knowledge
At least overall C grade
English Skills (IELTS, TOEFL, Cambridge, etc.)


  STUDY FEES

120 ECTS – Euros 4,512 for full degree
60 ECTS – Euros 2,988 for full degree


  ASSESSMENTS

Online Assignments and Exams

Course Overview - Option 1 - 120 ECTS 4 Semesters

Modules ECTS
Data Science 5
Advanced Mathematics 5
Seminar: Data Science and Society 5
Advanced Statistics 5
Use Case and Evaluation 5
Project: Data Science Use Case 5
Modules ECTS
Programming with Python 5
Machine Learning 5
Deep Learning 5
Big Data Technologies 5
Electives A 10
Modules ECTS
Cyber Security and Data Protection 5
Case Study: Model Engineering 5
Software Engineering for Data Intensive Sciences 5
Electives B 10
Seminar: Current Topics in Data Science 5
Modules ECTS
Master Thesis & Colloquium 30

Electives for 120 ECTS Option

For the 120-ECTS programme, you’ll choose two elective modules, equaling 20 ECTS credits of your overall degree.

Course Overview - Option 2 - 60 ECTS 2 Semesters

Modules ECTS
Advanced Statistics 5
Use Case and Evaluation 5
Seminar: Current Topics in Data Science 5
Machine Learning 5
Deep Learning 5
Case Study: Model Engineering 5
Modules ECTS
Elective 10
Master Thesis & Colloquium 20

Electives for 60 ECTS Option

For the 60-ECTS version of this degree, your elective will equal 10 ECTS credits of your overall degree. The electives you can choose are listed below.

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