Digital Engineering

The use of digitally connected systems is increasing in every industry. The developments currently unfolding under the buzzword "Industry 4.0" are essentially based on the comprehensive digital representation of every step in the value chains in industrial production. From the planning phase through to the design/draft and production process to monitoring products over their service life, virtual product and process models are networked with each other to advance development processes, raise product quality, and optimise production. That is why these developments require well-trained specialists at the interface of computer science and engineering. This course of study, which was jointly developed by participants from the chairs of Engineering and Computer Science and Media at the Bauhaus-University Weimar-Universität Weimar, is designed to provide you flexible and interdisciplinary training to meet the challenges you'll face in the professional world of tomorrow. The Digital Engineering Master's programme places a high premium on introducing you to current research issues that are jointly defined and supervised by industry partners at an early state. The Digital Bauhaus-University Weimar Lab is a state-of-the-art university research facility offering optimal conditions for success. 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.