Applied Data Science & Artificial Intelligence

Study Type

graduate

Admission semester

Summer and Winter Semester

Focus

Data Management, Big Data, Data Protection, Data Analytics, Research and Ethics, Software Engineering & Programming (Full-Time)

Target group

The course is geared to the needs of working people. The courses/lectures are bundled and usually take place at weekends, supplemented with online coaching.

Annotation

We support you personally and continuously in achieving your goals. Based on our proven CORE principle, we have coordinated all learning objectives, forms of examination as well as teaching and learning methods for you in such a way that learning is fun and you will achieve the best possible learning success.

Digital teaching and learning content
The use of digital elements in teaching is an essential component of our teaching and learning concept. Whether in virtual group rooms, chats with lecturers or in mobile learning apps, with us, you will be optimally prepared for the demands of the modern working world. You will get to know a variety of digital tools and methods that are precisely tailored to the skills that will help you in your studies and later career. Communication platforms such as MS Teams or Zoom are integrated into your everyday study routine as a matter of course.

Internationality
The SRH University of Applied Sciences Heidelberg maintains a broad network of partnerships around the world to enable you to spend time studying abroad: In a semester abroad, an internship or in a summer school, you can gain unique experiences worldwide, which will bring you unforgettable experiences with lifelong friendships.

Admission modus

Selection procedure / qualifying examination

More information regarding admission requirements

Admission requirements

To apply for the Master’s degree programme in Applied Data Science and Artificial Intelligence, you will need:

Degree from a university or university of applied sciences (Bachelor’s or Diploma degree) in Computer Science, Data Science, Information Technology, Artificial Intelligence, Data Analysis, Mathematics, Business Information Systems
- Certificate of general or subject-specific higher education entrance qualification
Proof of English
Curriculum vitae with current passport photo
Copy of identity document (front and back), copy of passport or national identity card for foreign students

Tuition fees

830.00 EUR / Month

More information regarding tuition fees

Hamburg
EU/EEA (incl. Western Balkans, Switzerland and Ukraine): EUR 830 /month
Non-EU/EEA: EUR 5,950/semester

Heidelberg
EU/EEA (incl. Western Balkans, Switzerland and Ukraine): EUR 850/month
Non-EU/EEA: EUR 6,750/semester

Munich
EU/EEA (incl. Western Balkans, Switzerland and Ukraine): EUR 830/month
Non-EU/EEA: EUR 5,950/semester

The tuition contribution (per month/per semester) remains the same throughout the entire period of study. A one-off registration fee of EUR 750 (EU/EEA)/ EUR 1,000 (non-EU/EEA) will be charged.