Data Science
Christian-Albrechts-University zu Kiel · Kiel, Europe
Duration
18 mo
Tuition
No tuition fee
sourcedIntake
Winter semester
English
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Winter semester intake. Most universities admit on a rolling basis — we confirm the exact application deadline for your profile, free.
Course details verified 10 Sep 2026 — intakes, entry requirements and course facts · official source
Fee sourced Taken from the university's published fees page, not re-checked since — confirm it before you budget. See the university fees page.
About this programme
The Master's degree programme in Data Science is designed as an interdisciplinary degree programme that enables students from a wide range of study domains (natural science, engineering, social sciences, etc.) to specialise in data science. Curriculum First semester of study: Optional: Pre-course Programming Tools and Programming Languages for Data Science Mathematics and Multivariate Statistics Data Visualisation and Visual Analytics Machine Learning Data Management Cloud Computing Second semester of study: Social Media Analytics Big Data Technologies Deep Learning Application project Elective module (e.g. Generative AI, Ethical AI, Advanced Topics in Data Mining) Third semester of study: Thesis Colloquium https://moduldatenbank.fh-kiel.de/en-us/StudySubject/Info/51
Intakes & deadlines
Winter semester
Dates confirmed for your profile · Open
Summer semester
Dates confirmed for your profile · Open
Entry requirements
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English
E.G. Cambridge English Qualifications: B2 First IELTS Academic: 5.5
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Prerequisites
Access to the Data Science Master’s degree programme is granted to those who have completed a Bachelor’s degree programme with a grade of at least 2.5. Applicants must also prove that they have earned 30 cumulative credit points (ECTS) in the subjects of Mathematics/Statistics and Computer Science. At least 10 credit points (according to ECTS) in the subject area of Mathematics/Statistics and at least 10 credit points (according to ECTS) in the subject area of Computer Science must be proven. If the previous course of study 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 have been earned. At the beginning of the course of study, the examination board will inform applicants of the skills that need to be made up and the latest possible time for their proof of achievement. English language skills (details see below) Applicants with a Bachelor’s degree from outside of the Bologna Area (member of the European Higher Education Area) also require proof of the following qualification: a GRE with a minimum score of 65% in all parts of the test (Verbal Reasoning, Quantitative Reasoning and Analytical Writing)
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Documents
SOP, LOR & Resume — generate them free in 2 minutes.
This is an indicative early-career range for the whole Data Science & Analytics field in Europe, from official graduate-outcome data — not a figure for this programme or university, and not a guarantee of what you will earn. What you actually earn depends on the role, employer, city and your visa.
Source: Profiling Institut - Gehaltsranking nach Studienfach 2026 (StepStone Gehaltsreport 2026), 2026. Market job-board data — less official than a government survey; treat as indicative.
Rupee figure converted at the 18 Aug 2026 mid-market rate; your bank's rate will be worse and currencies move, so use it for planning, not as the amount you will receive.
Fees & scholarships
No tuition fee tuition (sourced). We confirm the exact costs and the scholarships you qualify for at Christian-Albrechts-University zu Kiel — free, for your profile.
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Data Science — FAQs
5 questions
Tuition is No tuition fee. Taken from the university's published fees page, not re-checked since — confirm it before you budget. We confirm the current fee and the scholarships you qualify for — free.
The main intake is Winter semester. Most universities admit on a rolling basis — we confirm the exact deadline for your profile, free.
Access to the Data Science Master’s degree programme is granted to those who have completed a Bachelor’s degree programme with a grade of at least 2.5. Applicants must also prove that they have earned 30 cumulative credit points (ECTS) in the subjects of Mathematics/Statistics and Computer Science. At least 10 credit points (according to ECTS) in the subject area of Mathematics/Statistics and at least 10 credit points (according to ECTS) in the subject area of Computer Science must be proven. If the previous course of study 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 have been earned. At the beginning of the course of study, the examination board will inform applicants of the skills that need to be made up and the latest possible time for their proof of achievement. English language skills (details see below) Applicants with a Bachelor’s degree from outside of the Bologna Area (member of the European Higher Education Area) also require proof of the following qualification: a GRE with a minimum score of 65% in all parts of the test (Verbal Reasoning, Quantitative Reasoning and Analytical Writing) English: E.G. Cambridge English Qualifications: B2 First IELTS Academic: 5.5.
The programme runs about 18 months full-time.
Yes — shortlisting, SOP, LOR, Resume, application, scholarships and visa guidance are all free. We're paid by partner universities, not by you.
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