Data Science AKAD University of Applied Sciences in Stuttgart - state accredited
Overview and admission
Study Type
graduate
Admission semester
Summer and Winter Semester
Focus
Big Data, Deep Learning, Data Mining, Digital Management, Datenbanken, Analysis und Numerik
Annotation
Your distance learning is carried out in 4 semesters and is modularly structured. You choose your personal focus between the specialisations Big Data, Deep Learning, Data Mining and Data Management. They are intensively involved in the recognition, formulation and solution of complex data analysis problems, learn to handle digital media with confidence, acquire communication skills and the ability to work in a team. You are well prepared for taking on leadership responsibilities and have various learning strategies for lifelong learning. You develop strategies to integrate, analyse and structure heterogeneous data of a company and to present analysis results in a way that is understandable for experts.
Admission requirements
If you already have a university degree in Business Information Systems or Mathematics, Computer Science, Business Administration with a focus on Business Information Systems, Industrial Engineering and Management, Data Science or a comparable degree, our Master's degree programme is open to you.
Lecture period
Application deadlines
Winter semester (2024/2025)
Application deadline for Germans and inhabitants
Not applicableEnrollment deadline for Germans and foreign students
Any time
Tuition fee
It is possible to start the course at any time. Studies can be extended by 18 or 24 months free of charge.
Languages of instruction
Main language
German