M.Sc. Data Science
Darmstadt University of Applied Sciences (HS Darmstadt) Darmstadt
- No tuitionTuition
- Winter intakeIntake
- GermanLanguage
- 4 semestersDuration
- 15 JulNext deadline
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- 5,000+ students guided
- 4.9 on Google (opens Google reviews in a new tab)
About the programme
Data Science is a German-taught, four-semester Master of Science at Hochschule Darmstadt (h_da) for students who want to use methods from mathematics, computer science and statistics to extract facts and knowledge from large amounts of data. It is aimed mainly at graduates of computer science and mathematics. In the first semester a synchronisation module brings students from different bachelor's programmes to the same level. Lectures with exercises and computer labs, seminars and an extensive practical project are complemented by courses on the ethics of big data, project management and communication. The programme starts in the winter semester and can also be studied in a dual format. It suits graduates in mathematics, computer science or similar fields.
Fields of study
How to apply
uni-assist checks your papers first. Then the university decides on your application.
APS checks your degree papers. You need it if your degree is from India, China or Vietnam.
Will you get in? Check your eligibility.
Answer a few questions to see how you match this programme. Free, no email. Leave anything blank you are not sure about.
Requirements
What you need to apply for Data Science at Darmstadt University of Applied Sciences (HS Darmstadt)
English language
German language
Academic requirements
View academic requirements detailsHide details
Required
Not Required
APS verification
APS checks your degree papers. You need it if your degree is from India, China or Vietnam.
Prerequisites
The admission requirement for the Master's programme in Data Science is a qualified Bachelor's or Diplom degree in the field of mathematics or computer science or comparable degrees with an overall grade of 2.5 or better. Candidates who do not achieve an overall grade of 2.5 but who have completed their studies with an overall grade of 2.9 or better may be admitted on the basis of an individual assessment (aptitude test).
Documents checklist
What to prepare for your application to Data Science
Standard documents checklist
- Completed online application form
- Bachelor's degree certificate (original + certified translation)
- Bachelor's degree transcript (original + certified translation)
- English language certificate (IELTS, TOEFL, or equivalent)
- German language certificate (if required by the programme)
- Statement of Purpose / Letter of Motivation
- Curriculum Vitae (CV)
- Letters of Recommendation (LOR)
- Passport copy
- APS certificate (if your degree is from India, China or Vietnam)
This programme applies via uni-assist. Submit your documents through the correct channel before the deadline.
Open application portal (opens in a new tab)Apostille and notarization
Requirements vary by nationality and issuing country. Many German universities require certified translations and, in some cases, document apostilles. Verify current requirements directly with the admissions office, or use our document services for guided preparation.
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Our document preparation bundle covers SOP, CV, LOR, and translation coordination, reviewed by our team.
View document bundleHow to apply
Step-by-step guide to applying for Data Science at Darmstadt University of Applied Sciences (HS Darmstadt)
Application quick facts
Apply via
Via uni-assist
uni-assist checks your papers first. Then the university decides on your application.
Mode
online
APS
Required for Application
APS checks your degree papers. You need it if your degree is from India, China or Vietnam.
Application fee
Free
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Costs
Tuition
FREE
No tuition fees
Semester contribution
382 EUR
per semester
Application fee
Free
per application
Estimated year-1 total cost
12,668 EUR
Includes tuition, semester contribution, and estimated living costs.
Additional fee information
Free
Plan your total budget for Germany
Use the MS in Germany cost calculator to estimate living expenses, insurance, and your full year-one spend.
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