- Degree
- Master of Science
- Course location
- Kiel
- Teaching language
- • English
- Languages
- Courses are held in English. Participants can undertake examination-related work and write the Master's thesis in either English or German.
- Full-time / part-time
- • full-time
- Programme duration
- 3 semesters
- Beginning
- Winter and summer semester
- Additional information on beginning, duration and mode of study
- Lecture periods
• Winter semester: 15 September to the end of December (exact end date depends on the year)
• Summer semester: 15 March to the end of June (exact end date depends on the year)
• A welcome event and "Pre-course Programming" is offered to new students in the week prior to the start of the lecture period.
• Examinations partly take place during the lecture period but may extend beyond the end of the lecture period.
- Application deadline
- https://www.haw-kiel.de/en/degree-courses/information-for-prospective-students/courses-and-application/ (https://www.fh-kiel.de/en/degree-courses/information-for-prospective-students/courses-and-application/)
- Tuition fees per semester in EUR
- None
- Combined Master's degree / PhD programme
- No
- Joint degree / double degree programme
- No
- Description/content
- 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
Third semester of study
• Thesis
• Colloquium