- Degree
- Master of Science
- Course location
- Bremen
- Teaching language
- • English
- Languages
- Courses are held in English.
- Full-time / part-time
- • full-time
- Programme duration
- 4 semesters
- Beginning
- Winter semester
- Application deadline
- • Application due by 1 June for international students (for those who require a visa to enter and study in Germany)
• Application due by 31 July for EU/EEA citizens and citizens of the following countries: United States of America (including the US Virgin Islands, American Samoa, Guam, Puerto Rico, and the Northern Mariana Islands), Andorra, Australia (including the Cocos [Keeling] Islands, Norfolk Island, Christmas Island), Brazil, Canada, El Salvador, Honduras, Israel, Japan, Monaco, New Zealand (including the Cook Islands, Niue, and Tokelau), San Marino, Republic of South Korea, and Switzerland
- Tuition fees per semester in EUR
- 10,000 EUR
- Additional information on tuition fees
- Annual undergraduate 2025/26 tuition fees: 20,000 EUR
Annual graduate 2025/26 tuition fees: 20,000 EUR
Annual International Foundation Year 2025/26 tuition fees: 12,000 EUR
Annual online programme 2025/26 tuition fees: 5,000 EUR
- Combined Master's degree / PhD programme
- No
- Joint degree / double degree programme
- No
- Description/content
- Data engineering is an emerging profession concerned with big data approaches to data acquisition, data management and data analysis.
The two-year programme in data engineering offers a fascinating and profound insight into the methods and technologies of this rapidly growing area. The programme combines the big data aspects of data analytics and data science with the technological aspects of data acquisition, curation, and management.
Thus, the programme 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 programme is targeted towards students who have completed their BSc in areas like computer science, physics, applied mathematics, statistics, electrical engineering, communications engineering, or related disciplines, and who want to deepen their knowledge and proceed to research-oriented work in a Master's programme or ultimately a in a PhD programme.
The tailor-made curriculum comprises lectures, tutorials, laboratory training, and hands-on projects. In a unique setting, students also team up with industry professionals in selected courses.