Data Sciencefull time
- Degree
- Master of Science
- Master
- Standard period of study (amount)
- 3 semesters
- Location
- Kiel
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 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). Recognised proofs can be found in Art.7 of the Examination Regulations for the Master Program Data Science.
Lecture period
- 09.09.2024 - 12.01.2025
- 15.03.2025 - 04.07.2025
Application deadlines
Summer semester (2025)
Application deadline for Germans and inhabitants
01.11.2024 - 15.03.2025
Applications without German university entrance qualification (HZB) via Uni-assist
Deadlines for International Students from the European Union
01.11.2024 - 15.03.2025
Applications without German university entrance qualification (HZB) via Uni-assist
Deadlines for international students from countries that are not members of the European Union
01.11.2024 - 15.03.2025
Applications without German university entrance qualification (HZB) via Uni-assist
Enrollment deadline for Germans and foreign students
01.11.2024 - 15.03.2025
Winter semester (2024/2025)
Application deadline for Germans and inhabitants
01.05.2025 - 15.09.2025
Deadlines for International Students from the European Union
01.05.2025 - 15.09.2025
Applications without German university entrance qualification (HZB) via Uni-assist
Deadlines for international students from countries that are not members of the European Union
01.05.2025 - 15.09.2025
Applications without German university entrance qualification (HZB) via Uni-assist
Enrollment deadline for Germans and foreign students
01.05.2025 - 15.09.2025
Tuition fees
Tuition fees
Languages of instruction
Main language
English