Overview

Robotics and artificial intelligence drive modern technological innovation, intersecting mechanical engineering, computational logic, machine learning, and autonomous systems to shape intelligent digital ecosystems. The Bachelor of Engineering (BEng) / Master of Engineering (MEng) in Robotics & Artificial Intelligence at the University of Glasgow delivers a rigorous technical education combining core engineering principles with advanced computing and AI specializations. Taught jointly by the Schools of Engineering and Computing Science within specialized laboratories, high-tech computing spaces, and design studios, the program embeds hands-on practical learning from the outset. The curriculum progresses from foundational mathematics, dynamics, and electronics to advanced programming, embedded systems, machine learning, computer vision, and autonomous vehicle guidance. Emphasizing professional readiness, the degree features team-based engineering design projects, industry-informed case studies, and a substantial individual capstone project. Designed for logical problem-solvers and tech innovators, this degree equips graduates with high-level multidisciplinary capabilities. Graduates emerge with professional accreditation status from institutions like the Institution of Mechanical Engineers (IMechE), well-prepared to engineer advanced robotic solutions and intelligent systems for global industries.

What You'll Learn

• Foundational engineering mathematics, mechanical dynamics, thermodynamics, and circuit theory

• Digital and analogue electronics, embedded processor programming, and power electronics principles

• Advanced programming, software engineering methodologies, data structures, and algorithm design

• Artificial intelligence concepts, machine learning models, neural networks, and computer vision systems

• Control systems, autonomous vehicle guidance technologies, and human-robot interaction dynamics

• Systems analysis, risk evaluation, project management, and interdisciplinary technical governance

• Professional engineering practice, ethics, and collaborative multi-engineer project execution

Learning Outcomes

Upon completing the programme, students will be capable of applying complex mathematical, mechanical, and computational principles to design, analyze, and optimize advanced robotic and artificial intelligence systems. Graduates will demonstrate high-level technical capability in programming embedded controllers, executing machine learning algorithms, and engineering secure, autonomous solutions. Through hands-on laboratory experiments, studio design modules, and industry-aligned capstone projects, learners cultivate strong capabilities in full-lifecycle system engineering, team collaboration, and technical communication. They will critically appraise emerging computing and automation paradigms, adhere to strict professional safety and ethics standards, and evaluate the environmental and societal impacts of robotic deployments. Ultimately, graduates satisfy the academic requirements for professional engineering registration, preparing them to excel as robotics engineers, AI specialists, software developers, automation consultants, and control systems architects across global technology, manufacturing, and research sectors.