Robotics & Artificial Intelligence MEng

5 Years On Campus Bachelors Program

University of Glasgow

Program Overview

The Robotics & Artificial Intelligence MEng at the University of Glasgow is a five‑year programme that brings together the best of engineering and AI. It’s perfect if you’re fascinated by building smart machines, coding intelligent systems, and solving real‑world challenges with robotics.

Curriculum structure:
Year 1: You’ll start by learning the essentials of engineering — maths, dynamics, materials, electronics, and design. This gives you a strong foundation so you can tackle more advanced robotics and AI topics in later years.

Year 2: Now you’ll dive deeper into electronics, digital systems, embedded processors, and programming. You’ll also work on team projects, building the practical skills you’ll need to bring robotic ideas to life.

Year 3: This is where robotics and AI start to take center stage. You’ll explore advanced programming, control systems, simulations, and system dynamics, linking your engineering knowledge directly to intelligent machines.

Years 4 & 5: In these years, you’ll focus on robotics and AI in depth, tackling specialised modules and working on projects that can be industrial placements or research-focused. By the end, you’ll have hands-on experience designing, building, and programming intelligent robots.

Focus areas:
Robotics systems design · Embedded electronics · Machine learning & AI · Control and simulation · Team-based projects · Industrial placement

Learning outcomes:
You’ll gain a solid understanding of robotics and AI, become skilled in both hardware and software, develop problem-solving and project management abilities, and learn how to consider the ethical, social, and professional implications of your work.

Professional alignment (accreditation):
The programme is designed in line with professional engineering standards. Accreditation details can be confirmed with the School of Engineering.

Reputation (employability rankings):
Glasgow’s James Watt School of Engineering is highly respected in the UK, ranked among the top engineering schools. Graduates leave well-prepared for careers in robotics, AI, and tech industries worldwide.

Experiential Learning (Research, Projects, Internships etc.)

 

At Glasgow, learning goes far beyond lectures and textbooks. In the Robotics & Artificial Intelligence program, you’ll get hands-on experience from day one, experimenting with real robots, coding intelligent systems, and tackling projects that mirror challenges in industry. You’ll have access to world-class labs, advanced software tools, and research centres, all designed to make sure your skills are sharp, practical, and in demand. Whether you enjoy working individually or thrive in teams, this program ensures you gain experience that’s as exciting as it is career-ready.

Here’s a taste of the practical opportunities you can expect:

  • Robotics Teaching Laboratory – Work with the latest robotics equipment and tools on practical experiments and projects.

  • Project-Based Courses – In Year 4, BEng students take on individual projects, while MEng students collaborate on team projects, putting theory into action.

  • Advanced Research Centres – Access cutting-edge facilities like the Advanced Research Centre to get involved in ongoing robotics and AI research.

  • Industry Placements – Opportunities to gain real-world experience through internships and industry collaborations, especially in Year 5.

  • Collaborative Projects – Join interdisciplinary projects in areas like autonomous systems and connectivity, learning to work across fields.

  • Specialized Software Tools – Gain proficiency with industry-standard programming, simulation, and design software used by professionals worldwide.

These experiences are designed to help you build confidence, practical skills, and a professional portfolio that employers love.

Progression & Future Opportunities

 

Graduates from Glasgow’s Robotics & Artificial Intelligence program leave ready to dive into exciting and fast-growing tech careers. With your strong foundation in robotics, AI, and engineering, you could step into roles like:

  • Robotics Engineer – designing and programming intelligent machines.

  • AI Software Developer – creating algorithms that power smart systems.

  • Systems Integration Engineer – connecting complex hardware and software solutions.

  • Automation Consultant – helping businesses optimize processes with robotics and AI.

Glasgow gives you the support and connections to make this transition smooth:

  • Careers Service – one-on-one guidance, CV workshops, and interview prep to help you land your first role.

  • Industry Partnerships – collaborations with companies like IBM, Amazon, Red Hat, Babcock, and Terex give you access to internships, projects, and networking opportunities.

  • Graduate Outcomes – around 70% of graduates are employed or pursuing further study within 15 months of graduation.

  • Professional Accreditation – the IET accreditation enhances your long-term career prospects and helps with professional recognition.

Further Academic Progression:
If you want to continue learning after your degree, Glasgow offers great options:

  • MSc in Robotics & Artificial Intelligence – go deeper into specialized areas and cutting-edge technologies.

  • PhD Opportunities – conduct advanced research in robotics, AI, or related fields at the university’s research centers.

  • Postgraduate Diplomas or Certificates – short programs to develop specific skills and expertise in robotics and AI.

These pathways let you tailor your studies to match your career goals and curiosity, whether you want to go straight into industry or keep exploring the frontier of technology.

Program Key Stats

£33,210
£9,535
£ 29
Sept Intake : 14th Jan


74 %

Eligibility Criteria

AAA
3.6
38
80

NA
NA
6.5
90

Additional Information & Requirements

Career Options

  • Robotics Systems Engineer
  • AI and Machine Learning Developer
  • Automation and Controls Engineer
  • Mechatronics Design Engineer
  • Embedded Systems Engineer
  • Computer Vision Engineer
  • Industrial Robotics Engineer
  • Research Scientist (Robotics/AI)
  • Software Engineer (Robotics/AI)
  • Robotics Consultant
  • Drone and Aerial Robotics Specialist
  • Human-Robot Interaction Specialist
  • Simulation and Modelling Engineer
  • IoT Systems Developer

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