COURSE CURRICULUM

The BSc Artificial Intelligence and Robotics degree at Aberystwyth University provides a comprehensive and progressive curriculum that equips students with the technical skills and theoretical knowledge necessary to succeed in this rapidly evolving field. In Year 1, students build a strong foundation in computer science with modules such as Introduction to Programming (CS12020), Programming Using an Object-Oriented Language (CS12320), and Introduction to Computer Infrastructure (CS10220). Supporting modules like Fundamentals of Web Development (CS11010), Information Security (CS11110), and Study Skills for Computer Science (CS18120) ensure students develop essential coding, security awareness, and academic skills early in their studies.In Year 2, the focus shifts towards more specialised topics. Core modules include Artificial Intelligence (CS26520), where students learn about the theory and application of intelligent systems, and Robotics and Embedded Systems (CS26020), which introduces physical systems and their integration with software. Additional technical modules such as Algorithm Design and Data Structures (CS21120), C and C++ (CS23820), Modelling Persistent Data (CS27020), and Software Engineering (CS22120) develop programming proficiency, data handling, and system design capabilities that are vital in AI and robotics.Year 3 emphasizes applied learning and advanced concepts. Students undertake a Major Project (CS39440), allowing them to explore a substantial area of interest in artificial intelligence or robotics through independent work. Advanced modules such as Machine Learning (CS36220) and Fundamentals of Machine Learning (CS36110) provide key insight into AI model development and applications. Specialised topics like Robotic Applications (CS36010) and Space Robotics (CS36510) introduce real-world robotic systems and their challenges, while Professional Issues in the Computing Industry (CS38220) explores ethical, legal, and industry-related considerations.This well-rounded degree prepares graduates for careers in AI development, robotics engineering, machine learning, and embedded systems, offering both practical skills and theoretical depth.