Applied Data Science & Analyticsinternational course, full time
Master of Science (M.Sc.)
Master
Degree4 semesters
Standard period of study (amount)
Heidelberg
Location
No information
Overview and admission
Study Type
graduate
Admission semester
Summer and Winter Semester
Area of study
Computer Science
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 requirements
Students who meet the following requirements can be admitted to this Master's degree course at the SRH University of Applied Sciences Heidelberg: •\tBachelor’s degree with 180 ECTS in Computer Science, Business Informatics or a related field and at least one year of qualified and relevant professional experience in one of the areas of IT, Marketing, Logistics, Production or Finance. •\tProof of English language skills: IELTS 6.5 / TOEFL 80 / Duolingo Certificate 95 / PTE Academics 58 or equivalent tests
Tuition fee
A one-off enrolment fee of EUR 750 will be charged at the beginning of the course.
Languages of instruction
Main language
English