MSc in Data Science and Machine Learning
- Public University
Talk to ExpertMSc in Data Science and Machine Learning at University of Oldenburg Overview
University of Oldenburg is among the popular universities to study MSc in Data Science and Machine Learning from abroad. The duration of MSc in Data Science and Machine Learning program is 2 years. Indian students are required to plan their cost of living (accommodation, groceries, insurance, utilities, etc.) apart from tuition fees to study at the university. Indian students must meet the University of Oldenburg admission requirements to study the course. Indian students must submit an online application by the course deadline to get into the university.
Duration | 2 years |
Tuition & Fees | |
International Students Admission Website | Go to Website  |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
MSc in Data Science and Machine Learning at University of Oldenburg Fees
The fee breakup of the University of Oldenburg MSc in Data Science and Machine Learning includes the first-year tuition fee and cost of living. The cost of living will include expenses like rent for accommodation, meals, and other utilities. Students must note that the total expenses are subject to vary, depending on the additional charges set by the University of Oldenburg. Students can check the table given below to know more about University of Oldenburg MSc in Data Science and Machine Learning fee breakup.
1st year tuition fees | Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 0 |
Other expenses in 1st Year | Fees components | Amount (for 1 year) |
|---|---|
| Insurance | INR 1,12,607 |
| Application Fee | INR 7,678 |
Calculated at the exchange rate of 1 Euro = INR 102.37 | Tuition & expenses were last updated on 16ᵗʰ April 2025Download exam sample paper
MSc in Data Science and Machine Learning at University of Oldenburg Entry Requirements
- No specific cutoff mentioned
- No specific cutoff mentioned
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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 credit points (900 hours) in mathematics and computer science including at least
- 20 credit points in mathematics, of which
- 5 credit points in analysis or linear algebra and
- 5 credit points in probability theory or statistics and
- 10 credit points in computer science, of which
- 5 credit points in the field of algorithms and
- 5 credit points in a higher programming language (preferably Python)
- 20 credit points in mathematics, of which
- 30 credit points (900 hours) in mathematics and computer science including at least
- If students can prove 20 credit point in mathematics and 10 credit points in computer science and do not miss more than 5 credit points in either the areas of statistics, algorithms or programming, they may catch up on missing competencies in an additional module
- The degree of eligibility depends upon the sum of the points from categories A and B. The maximum number of points is 6.
- Category A: Grade average of qualified Bachelor's degree
- 1.00 to 1.5 4 points
- 1.51 to 1.75 3.5 points
- 1.76 to 2.0 3 points
- 2.01 to 2.25 2.5 points
- 2.26 to 2.5 2 points
- 2.51 to 2.75 1.5 points
- 2.76 to 3.0 1 point
- Category B: 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.
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Out of 10
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- 3 Years bachelor degree is acceptable
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Out of 10
- Marks - 72/120
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- (CEFR) level B2- TOEFL iBT (72-94) is required
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- (CEFR) level B2- IELTS (5.5, 6.0, 6.5) is required
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- Yes
- Read lessBeginning or continuing professional studies sometimes requires additional conditions. This means that certain academic achievement is mandatory for entering professional studies (possibly at a higher semester). For (international) students, who acquired credits in foreign countries, The University of Oldenburg offers the option of beginning or continuing professional studies, although the required credits have not been achieved. If this is the case, the admission is conditional on the fulfillment of individually determined conditions. Usually, applicants have 2 semesters to complete the missing credits.
MSc in Data Science and Machine Learning at University of Oldenburg Rankings
| Rank | Rank Publisher |
|---|---|
| #601 | |
| #1014 |
MSc in Data Science and Machine Learning at University of Oldenburg Placements
| Particulars | Statistics (2025) |
|---|---|
| Internship Available | Yes, The ‘Internship’ module (6 CP) in the compulsory elective area of the core area enables a professional internship lasting 180 hours, in which students experience data science and machine learning in p The ‘Internship’ module (6 CP) in the compulsory elective area of the core area enables a professional internship lasting 180 hours, in which students experience data science and machine learning in practical application. The internship can take place at public institutions, private companies, scientific institutions and other organisations in Germany or abroad |
MSc in Data Science and Machine Learning at University of Oldenburg Highlights
- The new Data Science and Machine Learning programme concentrates on data science research activities with a focus on life and natural sciences, including medicine
- Students in the programme acquire professional and interdisciplinary skills to meet the challenges of digital transformation in society and at the university
- They master the methodological foundations of complex data analysis with a strong focus on machine learning methods and develop a comprehensive understanding of developing, implementing, and analysing data-driven algorithms on both technical and conceptual levels
- The programme enables students to gain specific expertise in applying analytical methods across three specialization areas and effectively communicate insights to domain experts.
- University offers the following three specializations:
Theoretical Foundations of Machine Learning in Mathematics and Natural Sciences’
‘Data Science and Machine Learning in Medicine and Health Care’
‘Data-Driven Speech and Hearing Sciences’
MSc in Data Science and Machine Learning at University of Oldenburg Important Dates
MSc in Data Science and Machine Learning at University of Oldenburg Scholarships
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MSc in Data Science and Machine Learning at University of Oldenburg Contact Information
Carl von Ossietzky Universität Oldenburg
Ammerländer Heerstraße 114-118
26129 Oldenburg
Oldenburg ( Other - Germany)
(For general query)
(For admission query)