MSc Advanced Air Mobility Systems

This course is unique in that it offers a combination of subjects that are fundamental to the Air Traffic Management (ATM), Uncrewed Traffic Management (UTM) and Advanced Air Mobility (AAM) industries, and that are not covered in a single MSc course anywhere else. The course aims to train engineers in the overall Systems-of-Systems architecture of the integrated ATM and UTM ecosystems, their enabling sensor infrastructure (incl. communication, navigation and surveillance) and their relevant algorithms (e.g. flight management, trajectory planning and prediction, capacity balancing, etc). The course provides an in depth understanding of the need to digitalise ATM and demonstrate the methods to increase automation and autonomy in both ATM and UTM, in order to fully unlock the potential of drone applications seamlessly in an integrated airspace. Particular attention is going to be given to real world applications (e.g. Urban Air Mobility and autonomous regional flights), so that scalability and complexity of techniques is taken into account in the design of any architecture, solution and algorithm. The engineering, regulatory, safety and ethical context will be also provided. The course is targeted at both fresh graduates of STEM disciplines and to engineers currently working in the aviation, aerospace and autonomous sectors wishing to train in intelligent and connected air traffic systems in order to improve their career perspectives and bring benefits to their employers. The MSc course consists of three major components – the taught modules (eight), the group design project and the individual research project. This format applies to both full-time and part-time students. Start date is typically October and the duration is 12 months for full-time students and 36 months for part-time students. We look forward to your applications!