- Degree
- Master of Science
- Course location
- Heidelberg
- Teaching language
- • English
- Languages
- Courses are held in English.
- Programme duration
- 4 semesters
- Beginning
- Winter and summer semester
- Additional information on beginning, duration and mode of study
- Other locations: Hamburg, Fürth, Munich
Beginning: 1 October and 1 April
Mode of study: We believe sustainable learning is only possible if there is enough space for experimentation, games and critical thinking. That is why we have completely restructured the classical course of studies. Read more about our CORE Principle (https://www.srh-university.de/en/you-want-to-study/core/?utm_source=wkz-HSptlDIPpre&mtm_placement=wkz-HSptlDIPpre&mtm_source=ptl&mtm_medium=DIP).
- Application deadline
- There are no application deadlines, so you can apply at any time until all of the places in the programme have been filled.
- Tuition fees per semester in EUR
- 5,100 EUR
- Additional information on tuition fees
- Applicants from EEA countries: starting at 850 EUR per month + one-time registration fee of 750 EUR
Applicants from non-EEA countries without a permanent residence permit: starting at 6,750 EUR per semester + one-time registration fee of 1,000 EUR
In Hamburg and Munich:
EEA rate: 4,980 EUR / semester
Non-EEA rate: 5,950 EUR / semester
- Combined Master's degree / PhD programme
- No
- Joint degree / double degree programme
- No
- Description/content
- The Applied Data Science and Artificial Intelligence Master's programme offers a perfect mixture of the courses critical for qualifying as a business application data scientist. The programme not only focuses on technical and statistical courses that concentrate on big data architectures, data and text mining algorithms, neural networks and predictive analytics, but also on familiarising students with creative questioning techniques, visualisation, data storytelling, ethics, and international law. In order to give students the opportunity to acquire practical experience on the topics studied in the courses, the theoretical knowledge gained from the different courses is applied and enhanced in a series of three case studies that are spread across three semesters with increasing level of complexity. In the fourth semester, each student will work on the Master's thesis, ideally on a topic pertaining to the industry.