The Digital Engineering programme offered by Bauhaus University Weimar laces a high premium on introducing you to current research issues that can be jointly defined and supervised by industry partners at an early state. The Digital Bauhaus Lab is a state-of-the-art university research facility offering optimal conditions for success.
Be a part of generation 4.0!
The consecutive Digital Engineering Master's programme combines academically specialised expertise from the Civil Engineering and Computer Science and Media disciplines. The coursework is centred on a practical transfer of methodical interrelations between engineering and computer science for complete digitalisation of design, manufacturing, and application processes. In this international Master's programme you will use a range of modelling concepts as a basis for experimentation with complex processes in computer-aided modelling, simulation and visualisation of engineering problems. In addition, you will deepen your knowledge of information-theory methods of data generation and data handling.
The aim is the representation, interpretation, evaluation, and optimisation of interdisciplinary processes in construction, mechanical engineering and other industrial fields. Following the long Bauhaus tradition, projects, use cases and methods for digital civil engineering move into focus. However, the underlying principles and concepts are generally applicable for Industry 4.0.
Get more detailsVisit official programme website
- Algorithms and Datastructures
- Applied Mathematics and Stochastics
- Nonlinear Continuum Mechanics
- Advanced Numerical Mathematics
- Software Engineering
- Structural Dynamics
- Structural Engineering Models
- Object-oriented Modeling and Programming in Engineering
- 24 months
Start dates & application deadlines
- Apply before , International
- Apply before , EEA/EU
- Apply before , National
- Apply before , International
DisciplinesIndustrial & Systems Engineering Civil Engineering & Construction Data Science & Big Data View 37 other Masters in Data Science & Big Data in Germany
To be eligible for admission to this programme, a candidate must have attained - with an overall final grade of at least 2.3 - his or her first subject related degree from an institution of higher education (e.g. Bachelor of Science), a degree from a Technical College for Administration [Verwaltungsfachhochschule] or a degree from a public or state accredited university of cooperative education [Berufsakademie]. »Subject related« applies to degree programmes in Civil Engineering, Mechanical Engineering, Computer Science, Computer Science and Media, and other technical-scientific degree programmes from the areas of engineering or computer science.
InternationalFreeTuition FeeBased on the original amount of 0 EUR per year and a duration of 24 months.
EU/EEAFreeTuition FeeBased on the original amount of 0 EUR per year and a duration of 24 months.
Semester contribution: 194,07 Euro.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Apply and win up to €10000 to cover your tuition fees.
Due for update
Updated over a year ago
Check the official programme website for potential updates.