

M.Sc. in Data Science
- Public University
M.Sc. in Data Science at Bielefeld university Overview
Duration | 2 years |
Tuition & Fees | |
International Students Admission Website | Go to Website |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
M.Sc. in Data Science at Bielefeld university Fees
For attending the Bielefeld university for M.Sc. in Data Science, students have to pay the tuition fee as well as the living expenses. The Bielefeld university M.Sc. in Data Science fee structure varies for domestic and international students.
Refer to the table below for the breakdown of expenses for the Bielefeld university M.Sc. in Data Science cost of attendance:
| Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 0 |
| Fees components | Amount (for 1 year) |
|---|---|
| Insurance | INR 1,17,537 |
| Mandatory Fees | INR 64,111 |
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M.Sc. in Data Science at Bielefeld university Entry Requirements
- No specific cutoff mentioned
- No specific cutoff mentioned
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- Access to the Master's programme is granted to those who can prove that they have completed a first university degree qualifying for a profession with a standard period of study of at least six semesters in accordance with the subject-specific regulations.
- In any case, please read the specific admission requirements for this Master's degree program in the Qualifications from accredited bachelor's courses at universities of cooperative education are equivalent to bachelor's degrees from universities.

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M.Sc. in Data Science at Bielefeld university Rankings
| Rank | Rank Publisher |
|---|---|
| #351 | |
| #76 |
M.Sc. in Data Science at Bielefeld university Highlights
- Due to the constant increase in data volumes and data complexity, Data Science has created a new, interdisciplinary field of work that covers a wide range of aspects of data analysis, such as handling large amounts of data, statistical modelling, visualisation, pattern recognition with machine learning methods, but also ethical and legal questions
- Data Scientists are urgently needed for many socially significant developments, e.g. in the areas of intelligent vehicles or housing, artificial intelligence or social media.
- The extraction of information from data is a genuinely interdisciplinary undertaking: The data collection and the communication of the results of the analyses require a link to the domain from which the data originate. The processing and analysis of the data requires an interaction of computer algorithms with statistical methods.
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