MSc in Data Science and Machine Learning
- Public University
MSc in Data Science and Machine Learning at University of Oldenburg Overview
Duration | 2 years |
Course Level | PG Degree |
Mode of Course | Full Time |
International Students Admission Website | Go to Website |
Tuition & Fees | ₹0 View full breakup |
Type of University | Public |
Official Career Service Website | Go to Website |
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 Rankings
MSc in Data Science and Machine Learning at University of Oldenburg Entry Requirements
- No specific cutoff mentioned
- No specific cutoff mentioned
- Read less
-
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.
-
Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- N/A
- 3 Years bachelor degree is acceptable
Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- Marks - 72/120
- Read less
- (CEFR) level B2- TOEFL iBT (72-94) is required
-
Register for TOEFL iBT® Test Today and get ?1500 Off. Use code SHIKTOEFL to avail the discount. Hurry Register now for TOEFL
- No specific cutoff mentioned
- Read less
- (CEFR) level B2- IELTS (5.5, 6.0, 6.5) is required
- Get a Full FREE IELTS Prep Course with Shiksha Study Abroad – Limited Seats for Weekend & Weekday Batches! Register now for IELTS
- 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 Important Dates
MSc in Data Science and Machine Learning at University of Oldenburg Fees
Fees components | Amount (for 1 year) |
---|---|
Tuition & fees | INR 0 |
Fees components | Amount (for 1 year) |
---|---|
Insurance | INR 97,207 |
Other Expenses (Incl Hostel) | INR 7,62,810 |
Semester Ticket/Transportation | INR 53,022 |
Application fee | INR 6,628 |
Total approximate fees | INR 9,19,667 |
Calculated at the exchange rate of 1 Euro = INR 88.37 | Tuition & expenses were last updated on 8ᵗʰ January 2025
MSc in Data Science and Machine Learning at University of Oldenburg Scholarships
Explore courses offered by University of Oldenburg
Other Courses offered by University of Oldenburg
Resources for you
Learn the process in simple steps with these guides handpicked for youMSc in Data Science and Machine Learning at University of Oldenburg Popular & recent articles
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)