COURSE CURRICULUM

The MSc in Autonomous Vehicle Dynamics and Control offers a comprehensive and technically rigorous set of compulsory modules designed to prepare students for the complex challenges associated with the development of unmanned aerial vehicles and autonomous flight systems. The course begins with UAS Dynamics and Control, focusing on the fundamentals of motion dynamics and linear control techniques for both fixed-wing and rotary UAS, including effects such as aeroelasticity. Building upon this, the Aerial Communications Systems module delves into aeronautical communication technologies, standards, system design, and the integration of line-of-sight and beyond-line-of-sight communication methods. UAS Modelling and Simulation develops skills in the mathematical modelling and simulation of UAVs, emphasizing real-time implementation using tools like Matlab/Simulink and embedded flight control systems. Sensor Fusion introduces key techniques such as Kalman filters and nonlinear estimation methods to support accurate navigation and control using multiple sensors. The Autonomous Vehicle Control Systems module advances students' understanding of robust, adaptive, and nonlinear control strategies, overcoming limitations of traditional linear methods. Artificial Intelligence for Autonomous Systems explores supervised and unsupervised learning, neural networks, deep learning, and automated reasoning applied to real-world scenarios like target tracking and sensor data analysis. Guidance and Navigation for Autonomous Systems covers both classical and advanced navigation strategies, including GNSS, SLAM, and cooperative guidance techniques for collision avoidance and path planning. Collectively, these modules provide a strong interdisciplinary foundation in control systems, simulation, sensor integration, artificial intelligence, and communications—all essential to the design and operation of next-generation autonomous aerial vehicles. The program is further enhanced by access to unique lab facilities and strong industrial engagement, ensuring students gain practical, hands-on experience in conjunction with advanced theoretical understanding. This educational experience is ideal for aspiring engineers seeking careers in aerospace, defence, or robotics, with a focus on autonomy and aerial systems innovation.