MS Data Science
- Public University
MS Data Science at Kiel University of Applied Sciences Overview
Duration | 18 months |
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 |
MS Data Science at Kiel University of Applied Sciences Highlights
- The students of the interdisciplinary master’s degree in data science not only learn how to use machine learning and artificial neural networks for accurate forecasts.
- They will also develop an overall understanding of how the topics of data management, processing, analysis and visualization can be used profitably in data science projects.
- The students learn the content based on real use cases and can improve their knowledge using the relevant technologies and programming languages. They are well prepared to shape the future as data scientists in a wide variety of industries.
MS Data Science at Kiel University of Applied Sciences Curriculum
Latest curriculum for MS Data Science at Kiel University of Applied Sciences can be downloaded from the below link. The curriculum PDF has semester wise course structure, electives and detailed course content. You can also check course curriculum of other specializations offered in MS at Kiel University of Applied Sciences
MS Data Science at Kiel University of Applied Sciences Entry Requirements
- No specific cutoff mentioned
- CGPA - 2.5/5
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- Requirements
- access to the “Data Science” master’s program is granted to those who have completed a bachelor’s program with a grade of at least 2.5 and can also prove 30 cumulative credit points (ECTS) in the subject “Mathematics / Statistics” and “Computer Science” At least 10 credit points (according to ECTS) in the subject area "Mathematics/Statistics" and at least 10 credit points (according to ECTS) in the subject area "Computer Science" must be proven.
- if the previous course comprised less than 210 credit points, but at least 180 credit points, the missing skills must be made up. As a rule, a total of 300 credit points should be achieved. Applicants will be informed of the skills to be made up and the latest possible time for their proof of achievement at the beginning of the course by the examination board.
- Requirements
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Out of 10
- No specific cutoff mentioned
-
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Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- Marks - 5.5/9
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- No specific cutoff mentioned
- with a minimum percentile of 55% in the Quantitative Reasoning portion of the test
- Applicants with a bachelor’s degree from outside the Bologna Area (member of the European higher Education Area) also require proof of the following qualification:
- a GRE with a minimum score of 55% in the Quantitative Reasoning part of the test.
- Not mentioned
MS Data Science at Kiel University of Applied Sciences Application Process
MS Data Science at Kiel University of Applied Sciences Fees
Fees components | Amount (for 1 year) |
---|---|
Tuition & fees | INR 0 |
Fees components | Amount (for 1 year) |
---|---|
Insurance | INR 97,207 |
Semester Ticket/Transportation | INR 53,022 |
Total approximate fees | INR 1,50,229 |
Calculated at the exchange rate of 1 Euro = INR 88.37 | Tuition & expenses were last updated on 23ʳᵈ December 2024
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