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M.Sc. Data Science and Machine Learning

University of Oldenburg Oldenburg

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  • No tuition
    Tuition
  • Winter intake
    Intake
  • English
    Language
  • 4 semesters
    Duration
  • 30 Apr
    Next deadline

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About the programme

Data Science and Machine Learning is an English-taught Master of Science at the University of Oldenburg. It takes 4 semesters (120 ECTS) and admission is limited. The programme focuses on data science research in the life and natural sciences, including medicine, with a strong emphasis on machine learning. Core modules (42 credits) cover introduction to data science, applied deep learning, machine learning, statistical learning and data ethics, plus electives. You then choose one of three specialisations (48 credits, including a group project): theoretical foundations of machine learning in mathematics and natural sciences, data science and machine learning in medicine and health care, or data-driven speech and hearing sciences. Requirements include a Bachelor's of at least 180 credits in a field such as data science, mathematics, statistics or physics, with at least 20 credits in mathematics.

Fields of study

Data Science(Computer Science & IT)

How to apply

ChannelVia uni-assist

uni-assist checks your papers first. Then the university decides on your application.

Modeonline_plus_hardcopy
APSRequired for Application

APS checks your degree papers. You need it if your degree is from India, China or Vietnam.

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Requirements

What you need to apply for Data Science and Machine Learning at University of Oldenburg

English language

IELTS Overall
6/ 9.0

German language

Maximum German grade(lower is better)
3

Academic requirements

Completed Bachelor's degree
Required
Minimum ECTS credits
180

ECTS are study credits. One year of full-time study is about 60 ECTS.

0
View academic requirements details

yes

APS verification

APS certificate
Required for Application

APS checks your degree papers. You need it if your degree is from India, China or Vietnam.

Prerequisites

Applicants are eligible for admission if they have completed a Bachelor's degree of at least 180 ECTS credits (three year full-time study) in the fields of data science, mathematics, statistics, physics, computer science, or business informatics. All applicants must prove the following upon application:

  • 30 ECTS credits (900 hours) in mathematics and computer science including at least
  • 20 ECTS credits in mathematics, of which
  • 5 ECTS credits in analysis or linear algebra and
  • 5 ECTS credits in probability theory or statistics and
  • 10 ECTS credits in computer science, of which
  • 5 ECTS credits in the field of algorithms and
  • 5 ECTS credits in a higher programming language (preferably Python).

If students can prove 20 ECTS credits in mathematics and 10 ECTS credits in computer science and do not miss more than 5 ECTS credits in either the areas of statistics, algorithms or programming, they may catch up on missing competencies in an additional module.

Students will be admitted based on a ranking order. The admissions committee will evaluate the applicant based on the documents presented. The degree of eligibility depends upon the sum of the points from categories A and B. The maximum number of points is 6.

Further points can be obtained through a relevant professional or scientific activity in the field of data science or machine learning (work experience, internships, bachelor's thesis; at least 3 months full-time work) - 1 point per activity, max. 2 points in total.

These qualifications are evaluated by the admissions committee.

Documents checklist

What to prepare for your application to Data Science and Machine Learning

Programme-specific documents

To prove your academic qualifications for admission, please upload the following documents

with your application through uni-assist e.V.:

1. High school diploma / Secondary School certificate

2. University grades / transcripts / degrees

3. Proof of German Language proficiency (applicants for courses with English as the

medium of instruction do not need German proficiency)

4. Proof of English Language proficiency (if stated in the admission requirements)

5. University admissions test (if available)

6. APS-Certificate (ONLY for applicants with a degree from India / China / Vietnam) –

please submit an original by post to uni-assist!

The following documents must be enclosed with the application in German or English. (Documents in other languages will need to be accompanied by certified translations):

Bachelor's degree and transcript of records (certified for applications via the university)

proof of the number of semesters studied thus far (for applications via the university)

completed specific eligibility form (to be found on course website and in application portal)

proof of mastery of English (see language requirements)

if applicable,

certificates concerning relevant internships or work experience (e.g. employer's reference, internship certificate, supervisor's certificate)

the subject of the Bachelor's thesis

We do not ask for letters of recommendation or letters of motivation!

This programme applies via uni-assist. Submit your documents through the correct channel before the deadline.

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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.

Need help preparing your documents?

Our document preparation bundle covers SOP, CV, LOR, and translation coordination, reviewed by our team.

View document bundle

How to apply

Step-by-step guide to applying for Data Science and Machine Learning at University of Oldenburg

Application quick facts

Apply via

Via uni-assist

uni-assist checks your papers first. Then the university decides on your application.

Mode

online_plus_hardcopy

APS

Required for Application

APS checks your degree papers. You need it if your degree is from India, China or Vietnam.

Application fee

75 EUR

Address

Carl von Ossietzky Universität Oldenburg

Ammerländer Heerstraße 114-118

26129 Oldenburg

Open application portal (opens in a new tab)

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Costs

Tuition

FREE

No tuition fees

Semester contribution

386 EUR

per semester

Application fee

75 EUR

per application

Estimated year-1 total cost

12,676 EUR

Includes tuition, semester contribution, and estimated living costs.

This programme has restricted admission (NC). Admission is competitive and based on academic performance.

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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Admission outcomes

Community-reported data from MS in Germany students (2018-2025)

Acceptance rate

50%

1 accepted out of 2 total applications

Grade benchmarksGerman scale (1.0 = best, 4.0 = passing)

2.55

Avg. accepted grade

German scale

2.55

Best admitted grade

German scale

2.19

Avg. rejected grade

German scale

Based on 2 applications from MS in Germany students 2018-2025.

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