Talk to ExpertMS Data Science at Kiel UAS Overview
MS Data Science at Kiel University of Applied Sciences is a popular program among Indian students. For admission to this course, which has 18 months, an Indian student needs to be eligible and submit documents. The documents to be submitted are academic qualifications, standardised text and language test score, resume and others. English language tests accepted by the university such as IELTS, TOEFL and GRE. Also, there is regular spending on food, travel, staying, books, supplies and others.
Duration | 18 months Get Curriculum |
Tuition & Fees | |
International Students Admission Website | Go to Website  |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
MS Data Science at Kiel UAS Fees
To get admission in MS Data Science at Kiel University of Applied Sciences students need to cover tuition fees and living costs. The fee structure varies based on whether the student is domestic or international. In addition to this students should budget for
- Other living expenses
- including
- housing
- food
- transportation
- books and personal expenses
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 1,15,170 |
| Mandatory Fees | INR 62,820 |
Calculated at the exchange rate of 1 Euro = INR 104.7 | Tuition & expenses were last updated on 15ᵗʰ April 2025MS Data Science at Kiel UAS Curriculum
International students can check the green button below for the Kiel University of Applied Sciences MS Data Science . The course PDF comprises information such as subjects taught, electives available, other course content, and semester-wise course structure breakup.
Download exam sample paper
MS Data Science at Kiel UAS Entry Requirements
- No specific cutoff mentioned
- CGPA - 2.5/5
- Read less
- 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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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.
MS Data Science at Kiel UAS Application Process
- Bachelor’s certificate, performance overview with grades
- evidence of English language skills
- first university entrance qualification (Abitur, technical college leaving certificate)
- certificate in the event of a name change (e.g. marriage certificate)
- for university degrees obtained outside the Bologna area: GRE (minimum percentile of 55% in the Quantitative Reasoning section).
MS Data Science at Kiel UAS 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 UAS Scholarships
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