Data Science AKAD University of Applied Sciences in Stuttgart - state accredited
Overview and admission
Study Type
undergraduate
Admission semester
Summer and Winter Semester
Area of study
- Computer Science
- Business Mathematics
Focus
Business Intelligence Systems, Data Visualisation, Big Data, Data Analysis, Algorithmen, Deep Learning, Vertiefungen (z.B. Datenanalyse, System-Management in Data Science, Datenvisualisierung, Big Data und Data Warehouse, usw.)
Annotation
Data is the basis of digitisation, with a Bachelor's degree programme in Data Science, you are optimally prepared for the challenges of digitisation in business. Digitisation is inconceivable without the resulting data being collected, qualified, evaluated, presented and administered. The complex processes of data science require expertise and a strong ability to think abstractly. In addition to technical knowledge, creativity and user orientation are crucial skills. For structured technology fans, this training opens up exciting fields of activity in combination with business knowledge.
Admission requirements
School-leaving certificate giving right of entry to higher education or entrance qualification for universities of applied sciences. If you do not have a school leaving certificate giving right of entry to higher education or an entrance qualification for universities of applied sciences, you can still study under certain conditions.
Lecture period
Tuition fee
Languages of instruction
Main language
German
Further languages
English