Master of Science in Data Science
An interdisciplinary Master's programme designed to equip students from diverse academic backgrounds with advanced data science expertise.
Best for:Best for students with a background in STEM or social sciences seeking to specialize in data science and machine learning.
Overview
The Master of Science in Data Science at Kiel University of Applied Sciences is an interdisciplinary programme tailored for students from fields such as natural sciences, engineering, and social sciences. The curriculum covers essential topics including machine learning, big data technologies, deep learning, and data visualization. Students engage in a structured three-semester course of study that culminates in a Master's thesis and colloquium. The programme emphasizes practical application through projects and elective modules, preparing graduates for professional roles in the data-driven economy.
What you'll do
- Complete core modules in programming, statistics, and data management during the first semester.
- Engage in advanced coursework including deep learning, social media analytics, and big data technologies.
- Participate in an application-oriented project to solve real-world data problems.
- Select elective modules such as Generative AI or Ethical AI to tailor the degree.
- Conduct independent research and write a Master's thesis in the final semester.
Requirements
Degree required: Bachelor's degree with a minimum grade of 2.5
Degree offered: Master of Science
Language: English; B2 level (e.g., IELTS Academic 5.5 or Cambridge B2 First)
Instruction: English
- At least 10 ECTS credits in Mathematics or Statistics
- At least 10 ECTS credits in Computer Science
- Proficiency in English at B2 level or higher
- GRE score of at least 65% for applicants from outside the Bologna Area
- Bachelor's degree with at least 180 ECTS credits (300 ECTS total recommended)
- Proof of required ECTS credits in Mathematics/Statistics and Computer Science
Funding & terms
Programme and admissions
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How to apply
Deadline: 2027-07-15
Applications must be submitted through the uni-assist portal. Ensure all academic transcripts and language certificates are prepared according to the university's requirements.
- Bachelor's degree certificate
- Academic transcripts
- English language proficiency certificate
- GRE score report (if applicable)
Contact
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