Courses are taught entirely in English.
Non-EU applicants (applicants who have citizenship of a country outside EU/EEA):
2 December to 1 March
EU applicants (applicants who have citizenship of an EU/EEA country, are currently enrolled at RWTH Aachen or hold a German university degree):
2 December to 15 July
Apply by 15 January (non-EU) / 15 April (EU) to benefit from a 10% early bird discount on the tuition fees!
24,000 EUR in total for four semesters
Become a project engineer who works at the intersection of digitalisation, technology and production!
The MSc Management and Engineering in Computer Aided Mechanical Engineering (MSc MME-CAME) is specifically designed to provide business management and technical skills to young engineering professionals. As an interdisciplinary Master's degree programme, it combines sound knowledge of key engineering fundamentals such as the finite element method, numerical methods, simulation, mechanics and software engineering with solid knowledge of essential management processes in marketing, accounting, human resource and international business. Our Management and Engineering degree programme will enable you to manage and adapt to business changes with innovative problem-solving skills and prepare you to move into advanced engineering positions as well as business leadership roles.
Your studies – your choice: choose a study track
To equip you with the specialisation you need for your individual career path, we offer two study tracks in the MSc MME-CAME:
Modelling and Simulation Engineering
In this track, you will specialise in the areas of:
- computer-aided modelling and simulation technology
- computer-aided design
- computer-aided production in mechanical engineering, design of manufacturing processes, life cycle prediction of materials, parts and components
Digital Engineering
In this track, you will focus on:
- the technical application fields of networked production
- manage and design an integrated production chain
- concepts and application of IoT, physical systems (digital twin), smart factory, smart production processes and smart business processes