Study Type

graduate

Admission semester

Summer and Winter Semester

Focus

Deep Learning, Machine Learning, Change Management, Artificial Intelligence, Big Data, Ethics and Data Protection, Scientific Work, Specialization in Insurance and Finance or Industry 4.0

Target group

With a pure or interdisciplinary degree in computer science, mathematics, physics, or statistics, you are well prepared for the requirements of the master's degree course in data science. But also a technical degree, a business administration or economics degree qualifies you for it. Missing Principles of computer science, mathematics or statistics can be made up individually. To this end, we coordinate learning agreements with you.

Admission modus

Without admission restriction

Admission requirements (Link)

Admission requirements

With a pure or interdisciplinary degree in computer science, mathematics, physics, or statistics, you are well prepared for the requirements of the master's degree course in data science. But also a technical degree, a business administration or economics degree qualifies you for it. Missing Principles of computer science, mathematics or statistics can be made up individually. To this end, we coordinate learning agreements with you.