Study Type

graduate

Admission semester

Winter Semester only

Focus

Big Data, Data Analysis, Data Acquisition, Data Management, Machine Learning, Internet of Things, Statistical Modelling, Visual Analytics

Annotation

The graduate program in Data Engineering offers a fascinating and profound insight into the methods and technologies of this rapidly growing area. The program combines big data aspects of “Data Analytics” as well as of “Data Science” with the technological challenges of data acquisition, curation, and management. Thus, the program provides the essentials for paving the way to a successful career: computer skills and mathematical understanding paired with practical experience in selected application fields. The Data Engineering program attracts students with diverse career goals, backgrounds, and prior work experience. Therefore, the program offers four focus tracks within which the students can choose to specialize further: Computer Science, Geo-Informatics, Bio-Informatics, and Business & Supply Chain Engineering. These tracks are a preparation for the Advanced Projects within the Discovery Area and the Master Thesis.

Admission modus

Selection procedure / qualifying examination

Admission requirements (Link)

Admission requirements

Bachelor's degree

Fees

20,000.00 EUR / year

Fees (Link)

Tuition for the MSc Computer Science and Software Engineering, MSc Data Engineering, the MSc Supply Chain Management and the MSc Data Science for Society and Business is EUR 20,000 per academic year. Merit-based scholarships and financial aid packages are available.