Robotics & Artificial Intelligence
Robotics and artificial intelligence is a field in which fundamental questions of engineering, computer science, and cognitive science come together in the creation of systems that can perceive, reason, and act autonomously. The impact of intelligent systems is already profound and is growing rapidly: from industrial automation and autonomous vehicles to medical robotics and AI-driven decision-making in finance and healthcare. At Edge Hill University, this BCS-accredited part-time BSc Robotics and Artificial Intelligence includes a sandwich year, a year abroad, and work placement, giving you professional and international experience alongside rigorous academic training.
As the current programme description notes, intelligent systems are having a huge impact, from household appliances to space exploration, and the degree is designed to help you contribute to creating the future of AI. The programme covers the theoretical and practical foundations of both disciplines: algorithms, machine learning, computer vision, natural language processing, sensor systems, control theory, and the engineering of robotic hardware and software systems. BCS accreditation by The Chartered Institute for IT means that the degree meets the professional standards of the computing industry and provides a pathway towards chartered IT professional status.
The sandwich year and year abroad give you direct experience of working in robotics and AI environments, while the work placement extends this professional engagement further.
Graduates of robotics and AI programmes are in exceptional demand. Technology companies, healthcare technology firms, defence and security, automotive and aerospace engineering, logistics and warehousing, consumer electronics, and academic research are all significant employers. Roles include robotics engineer, machine learning engineer, AI developer, systems engineer, software engineer in autonomous systems, and computer vision specialist.
The BCS accreditation provides a recognised professional pathway alongside the academic qualification. The part-time mode makes the degree accessible to those who cannot commit to full-time study. Some graduates go on to doctoral research in robotics or AI.
The field's rapid growth and the breadth of application areas means that graduates have an unusually wide range of professional opportunities.