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Data Sciencefull time

Degree
Master of Science
Master
Standard period of study (amount)
3 semesters
Location
Kiel
Deadlines
July 2026 (Germans and inhabitants)
July 2026 (EU)
July 2026 (Non-EU)
Please enquire

Overview and admission

Study Type

graduate

Admission semester

Summer and Winter Semester

Area of study

Information Technology

Target group

The offer of a consecutive Master degree program in Data Science is intentionally aimed at graduates of a broad spectrum of Bachelor programs, since Data Science competences are of great importance for very different industries. Some basic knowledge of Mathematics / Statistics and Computer Science are required.

Annotation

The students deepen their technical, methodological and social skills, especially in the areas of data storage, consolidation, processing, analysis and forecasting, with a focus on Big Data and machine learning processes. Data protection and security are also part of the training. Thus, after completing your studies, you are ideally prepared to work in the various organisational units of companies by purposefully analysing the mass of data available today and building on this, making forecasts that enable new business models and evaluate existing business models.

Also possible as a degree course with practical training (PBS). For more information see https://www.fh-kiel.de/studium/studienangebot/duales-studium/praxisbegleitetes-studium/

Admission modus

Local admission restriction

More information regarding admission requirements

Admission requirements

Entrance is awarded to applicants who have completed a Bachelor's degree course with a grade of at least 2.5 and can also demonstrate 30 cumulative credit points (ECTS) in the subject areas "Mathematics/Statistics" and "Computer Science". At least 10 credit points (ECTS) must be demonstrated in the subject area "Mathematics/Statistics" and at least 10 credit points (ECTS) in the subject area "Computer Science".

If the previous degree is worth fewer than 210 but at least 180 CP, the shortfall will have to be made up. A total of 300 CP should be achieved.

Evidence of English language proficiency of at least level B2 of the Common European Framework of Reference for Languages (CEFR).
GRE with a minimum percentile of 65% in all parts of the test (Verbal Reasoning, Quantitative Reasoning and Analytical Writing)

Recognised proofs can be found in Art.7 of the Examination Regulations for the Master Program Data Science.

Lecture period

  • 16.03.2026 - 20.06.2026
  • 15.09.2026 - 21.12.2026

Application deadlines

Winter semester (2026/2027)

  • Deadlines for International Students from the European Union

    01.05.2026 - 15.07.2026

    Applications without German university entrance qualification (HZB) via Uni-assist

  • Deadlines for international students from countries that are not members of the European Union

    01.05.2026 - 15.07.2026

    Applications without German university entrance qualification (HZB) via Uni-assist

  • Application deadline for Germans and inhabitants

    01.05.2026 - 15.07.2026

  • Enrollment deadline for Germans and foreign students

    Until 15.07.2026 (Universitywide deadline)

Summer semester (2026)

  • Deadlines for International Students from the European Union

    01.11.2026 - 15.01.2027

    Applications without German university entrance qualification (HZB) via Uni-assist

  • Deadlines for international students from countries that are not members of the European Union

    01.11.2026 - 15.01.2027

    Applications without German university entrance qualification (HZB) via Uni-assist

  • Application deadline for Germans and inhabitants

    01.11.2026 - 15.01.2027

    Applications without German university entrance qualification (HZB) via Uni-assist

  • Enrollment deadline for Germans and foreign students

    Until 15.01.2027 (Universitywide deadline)

Languages of instruction

Main language

English

Further languages

German

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These data have been kindly made available to the DAAD by the German Rectors' Conference. If you have any questions, this overview of the DAAD's services will help you (in German only).