Robotic Engineering and Artificial Intelligence MEng

4 Years On Campus Bachelors Program

Kingston University London

Program Overview

If you’re fascinated by robots and artificial intelligence, this degree is a perfect match. You’ll get hands-on experience building intelligent machines and writing the code that brings them to life — ideal for anyone who loves both hardware and software.

Curriculum structure

Year 1
Your first year sets the foundations. You’ll learn programming, electronics, and the basics of mechanical design through modules like Introduction to Programming, Microcontrollers and Interface Electronics, and Engineering Design and Manufacture. You’ll also get your first taste of robotics in Introduction to Robotics while sharpening your maths skills in Engineering Mathematics.

Year 2
In year two, things get exciting as you start applying your skills. You’ll work on a Robot Design and Build Project, explore Machine Learning and Computer Vision, and dive into Control Systems and Robot Kinematics and Dynamics, discovering how robots move and interact with the world.

Year 3
Year three is all about tackling bigger, more challenging projects. You’ll complete an Individual Project of your own design, explore advanced topics in Applied Robotics and Artificial Intelligence, and can choose options like Modelling and Simulation in Soft Robotics or Digital Signal Processing to specialise in areas that interest you most.

Year 4 (MEng)
In your fourth year, you’ll push your skills to the next level. Team up on real-world design challenges in the MEng Team Project, and explore cutting-edge modules like Human-Robot Interaction, Biologically Inspired Robotics, Applied Deep Learning, and Aerial Robotics and Unmanned Vehicles. This year is about innovation, creativity, and preparing for the professional world.

Focus areas

Robotics, Artificial Intelligence, Mechatronic Systems, Control Systems, Computer Vision, Sensors and Actuators

Learning outcomes

By the end of the course, you’ll be confident designing and building intelligent robotic systems, applying AI and machine learning, modelling and controlling robot behaviour, working effectively in teams, and evaluating emerging technologies critically and ethically.

Professional alignment (accreditation)

The course is designed around professional engineering standards, giving you skills aligned with industry expectations. For up-to-date accreditation details (e.g., IET or Institution of Mechanical Engineers), Kingston University’s engineering department is the best source.

Reputation (employability rankings)

Kingston University equips you with the practical skills and digital know-how employers love. Studying in London with access to industry-standard labs and equipment will give you a head start in the job market.

Experiential Learning (Research, Projects, Internships etc.)

At Kingston, learning isn’t just about lectures — you’ll get straight into the action from day one. You’ll be working with real robots, programming sensors and actuators, and building systems in fully equipped labs and workshops. With access to industry-standard software, mechanical and electronics workshops, and dedicated robotics labs, you’ll be developing practical skills that employers value, all while working on projects that mirror real-world engineering challenges.

Here’s how that looks in practice:

Hands-on projects with robots like NAO, Pepper, Franka Emika R3, Unitree platforms, and Quanser systems, giving you real experience with cutting-edge robotics hardware.
Use of professional software and tools such as Python, OpenCV, TensorFlow, and MATLAB for machine learning, computer vision, and control systems simulations.
Team-based design and build projects, including the Robot Design and Build Project, where you collaborate to design, construct, and test robotic subsystems.
Capstone and MEng team projects, tackling major real-world engineering challenges from start to finish, just like professional engineers.
Full access to Kingston’s labs, workshops, electronics/robotics suites, libraries, and IT facilities, so you have everything you need to experiment, research, and create.

Progression & Future Opportunities

Graduating from this course opens doors to an exciting range of careers where robotics and AI are shaping the future. Many of our alumni step into roles such as robotics systems engineer, AI and machine learning developer, automation and controls engineer, or mechatronics design engineer, giving you the freedom to pursue the path that excites you most. Kingston equips you with the practical skills, experience, and professional confidence to hit the ground running in industry:

Careers support you can rely on: Kingston’s Careers and Employability Service helps with CVs, interviews, workshops, networking events, and continues to support graduates for up to two years after finishing.
Strong graduate outcomes: Around 92% of graduates from Kingston are in employment or further study within 15 months of completing their course.
Industry connections: The university’s Employer Engagement Team runs subject-specific recruitment fairs, placement opportunities, and links students with top companies.
Accreditation and professional alignment: The course aligns with professional engineering standards, providing a qualification with long-term value if you aim for chartered engineer status.

Further Academic Progression:
If you’re keen to continue learning, there are plenty of options. You could pursue a Master’s in Robotics, AI, Control Systems, or Mechatronics, dive into research, or eventually work toward a PhD, taking your skills and knowledge to a deeper, more specialist level while keeping doors open for advanced roles in industry or academia.