Robotic Engineering and Artificial Intelligence BEng (Hons)

4 Years On Campus Bachelors Program

Kingston University London

Program Overview

 

The MEng/BEng (Hons) in Robotic Engineering and Artificial Intelligence at Kingston University combines mechanical, electronic, and AI engineering in an exciting, hands-on way. It’s perfect for students curious about autonomous systems, machine learning, and intelligent robotics, giving you the skills to create the technologies of the future.


Curriculum Structure

Year 1

In your first year, you’ll build a strong foundation in core engineering skills through modules like Engineering Mathematics, Engineering Mechanics, and Engineering Science. These will give you the technical grounding you need before moving on to more specialized subjects.

Year 2

Year two introduces you to the world of robotics and AI with modules such as Digital Systems Design, Control Systems, and Artificial Intelligence Fundamentals. You’ll start applying theory in practical projects, giving you a taste of real-world engineering challenges.

Year 3

The final year focuses on advanced topics and hands-on experience. Modules like Robotics and Automation, Machine Learning, and Computer Vision prepare you to tackle complex problems, and your major individual project lets you explore an area you’re passionate about.


Focus Areas

Autonomous Systems, Machine Learning, Computer Vision, Intelligent Control Systems, Robotics Engineering


Learning Outcomes

You’ll graduate ready to design and build intelligent robotic systems, apply AI to solve real engineering problems, and work confidently in multidisciplinary teams.


Professional Alignment

This program is designed to meet professional engineering standards and accreditation requirements, helping you move smoothly into industry roles after graduation.


Reputation

Kingston University is known for its strong focus on employability. With its hands-on approach and industry connections, graduates often go on to work with leading tech companies in robotics and AI.

Experiential Learning (Research, Projects, Internships etc.)

 

At Kingston University, the Robotic Engineering and Artificial Intelligence MEng/BEng (Hons) program is all about learning by doing. You won’t just be reading about robotics and AI—you’ll be building, testing, and experimenting with real systems in world-class labs. From the moment you step into the Roehampton Vale campus, you’ll have access to advanced tools and facilities that let you turn ideas into tangible projects and develop skills that employers are looking for.

To make your learning even more hands-on, the program offers plenty of opportunities for group projects, internships, and using professional software, so you can gain the practical experience needed to succeed in the field:

  • Rapid Prototyping and Manufacturing Labs – 3D printers, CNC machines, and other advanced tools for bringing your designs to life.

  • Materials Laboratory – Test and analyze different materials to see how they perform in real-world engineering applications.

  • Electronics and Robotics Lab – Design, build, and experiment with circuits and robotic systems using industry-standard equipment.

  • 3D Design Studio and Workshop – Model complex designs and see them in action.

  • Mechanical Engineering Workshop – Hands-on space for building and testing mechanical systems.

  • Automotive Testing Facilities – Includes rolling roads and a Lotus Exige for studying vehicle dynamics.

  • Professional Software Access – Tools like MATLAB, Simulink, and SolidWorks for design and simulation.

  • Group Projects and Collaborative Workspaces – Work closely with peers to solve real engineering challenges.

  • Internship Opportunities – Gain experience with leading companies in robotics and AI.

  • Field Trips and Industry Visits – See cutting-edge technologies and practices in action.

These experiences make sure you’re not just learning theory—you’re applying it, experimenting, and preparing for a successful career in robotics and AI.

Progression & Future Opportunities

 

Graduates of Kingston University’s Robotic Engineering and Artificial Intelligence MEng/BEng (Hons) are ready to step straight into exciting, high-demand careers. With the skills and knowledge gained in autonomous systems, AI, and intelligent control, you could find yourself working as a Robotics Engineer, AI Systems Developer, Automation Specialist, or Control Systems Engineer. These roles are sought-after across industries like manufacturing, automotive, aerospace, and technology.

The program also gives you plenty of support and connections to help launch your career:

  • Careers and Employability Services – One-on-one guidance, CV workshops, interview prep, and job search support to help you land your first role.

  • Industry Partnerships – Kingston works with leading robotics and AI companies, offering internships and placements that give real-world experience.

  • Elevate Careers Programme – Structured activities and opportunities to develop employability skills and network with employers.

  • Graduate Outcomes – Many students secure employment within six months of graduation, often with competitive starting salaries.

  • Long-Term Accreditation – The program meets professional engineering standards, helping you gain recognition with bodies like the IET and IMechE.

Further Academic Progression:
After finishing this degree, you can continue your studies to specialize even further. Options include:

  • MSc in Mechatronic Systems – Dive deeper into robotics, AI, and automation technologies 

  • MSc in Electronics and Robotics – Gain advanced knowledge in electronics and robotic systems 

These postgraduate opportunities allow you to explore cutting-edge research and position yourself for more senior roles or specialist careers in robotics and AI.

Program Key Stats

£19,200
£9,535
£ 29
Sept Intake : 14th Jan


Yes

Eligibility Criteria

BBC - ABB
3.0
28 - 32
70

NA
NA
6.0
80

Additional Information & Requirements

Career Options

  • Robotics Engineer
  • AI Systems Developer
  • Automation Specialist
  • Control Systems Engineer
  • Mechatronics Engineer
  • Machine Learning Engineer
  • Computer Vision Specialist
  • Embedded Systems Engineer
  • Research and Development Engineer
  • Industrial Automation Consultant
  • Software Engineer for Robotics
  • and Data Scientist in AI applications

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