MSc Robotics and Artificial Intelligence
- Study Mode: Full Time
- Location: High Wycombe
- Duration: One Year
- Start Date: September 2026
Are you ready to get hands-on with robotics, smart systems and the tools that power tomorrow’s tech?
This MSc welcomes students from a range of STEM and creative disciplines, offering flexible entry and a generalist approach to intelligent systems. You’ll work with real robots, advanced simulation tools and collaborative projects that mirror industry demands. Whether you’re aiming for research, leadership or technical excellence, this course prepares you to shape what’s next.
You’ll build, simulate, and test real robots using industry-standard tools. From wheeled platforms to machine vision systems, you’ll gain practical experience that mirrors real-world challenges.
Whether it’s building hardware, programming intelligent systems or taking on team-based challenges, this course is all about learning by doing.
Whether you come from computing, engineering or creative tech, this course is designed to welcome you in. With flexible entry points throughout the year, it fits around your life and learning style, no matter where you're starting from.
You’ll work on challenges inspired by RoboCup and collaborate with other students on industry-linked projects that solve real problems. These experiences sharpen your technical skills and prepare you to work confidently in professional environments.
This MSc develops the robotics and AI skills that are in high demand across sectors like automation, healthcare, logistics and creative tech. It also prepares you for doctoral study or leadership roles in innovation and research.
You’ll have access to dedicated robotics labs, simulation platforms such as ROS 2, Gazebo and Fusion 360, and industry-standard hardware including mobile robots and machine vision systems. This ensures you’re equipped with the tools and experience needed for professional practice.
Teaching is delivered by academics and practitioners with expertise in robotics, AI, machine learning, automation and animatronics. You’ll benefit from a blend of cutting-edge research and industry-informed teaching that keeps your learning relevant and future-ready.
What will I study?
On this robotics MSc, you’ll build a solid, hands-on foundation in robotics and intelligent systems. You’ll start by learning the core principles of robot design using wheeled robots and creative tools like Fusion 360. From there, you’ll move into simulation, working with platforms like ROS 2, Gazebo, Riz and Linux to model and control robotic systems in virtual environments.
You’ll also get the chance to dive into machine vision, sensing and hardware integration, gaining real experience with sensors, actuators and controllers. You’ll have the chance to explore specialist areas through optional modules in animatronics or automation and the Internet of Things (IoT), depending on where you want to take your skills.
Everything leads up to a major research project, where you’ll apply what you’ve learned to a real-world challenge. This could be an industry-linked brief or a team-based RoboCup-style competition. Throughout the course, you’ll be using the tools and technologies that define Industry 4.0, while building the kind of practical, team-based experience that employers value.
What facilities will I use?
As a student on this course, you’ll have access to a growing suite of specialist robotics facilities that support both simulation and hands-on learning. You’ll work with wheeled robotic platforms like the iRobot Create 3, and get practical experience using a wide range of sensors, actuators and controllers to bring your ideas to life.
You’ll also use professional-grade software throughout the course, including Fusion 360 for design and ROS 2, Gazebo and Riz for simulation. These tools are widely used in the robotics industry, giving you the confidence and experience to step into real-world roles with a strong technical foundation.
How will I be taught and assessed?
You’ll be taught through a mix of lectures, seminars, workshops and lab sessions, combining theory with plenty of hands-on learning. Most teaching takes place face-to-face, supported by flexible online resources like recorded tutorials and simulation walkthroughs. Because the course is built around standalone modules, you can join at different points in the year and progress at your own pace—something that sets this programme apart.
Assessment is mostly coursework-based, with a strong focus on practical application. You’ll create design portfolios, simulation reports and hardware demonstrations, and take part in group projects and a major research dissertation. You’ll also be assessed through innovative formats like digital design work in Fusion 360, simulation tasks in ROS 2 and Gazebo, and team-based exercises that test your problem-solving and collaboration skills in real-world scenarios.
What are the course entry requirements?
An undergraduate degree at 2:2 or above (or equivalent) in robotics, computer science, artificial intelligence, electrical and electronic engineering, mechanical engineering, mechatronics, physics, or a related discipline.
In exceptional circumstances, applicants who have relevant professional experience maybe invited to an interview and at which you will be required to demonstrate the necessary knowledge and understanding for entry onto the course.
International applicants should hold an equivalent overseas qualification with a minimum average grade of 60% in robotics, computer science, engineering, or a closely related field.
If English is not your first language, you will also need an IELTS score of 6.5 overall or equivalent.
Modules
This provides a guide of the modules that make up your course. You can find more information about how your course is structured on our Academic Advice section.
What are the tuition fees
Home
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Home, Academic Year 2026 - 2027: £11,420 per year *
International
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Overseas/International, Academic Year 2026 - 2027: £16,280 per year *
Please note all of the 2026/27 academic year fees stated are subject to parliamentary procedure. Tuition fees are expected to increase each academic year in line with the maximum permitted value set by the Government for that academic year. The expected rise for Home undergraduate students (including those on a foundation year course), may impact both new and continuing students.
What are my career prospects?
This MSc is designed to set you up for success in a fast-growing, high-demand field. After graduation, you’ll be ready to step into roles across robotics, automation, AI and intelligent systems, industries that are central to the future of work and the rise of Industry 4.0.
You could go on to become a robotics engineer, automation specialist, machine vision developer, systems integrator or AI solutions designer. Employers are looking for people who can design, simulate and deploy intelligent systems, and this course gives you the tools and experience to do exactly that. It also provides a strong foundation for doctoral research or innovation-focused roles, if you’re looking to take your expertise even further.
Course leader
- Associate Dean Research (College of Creative Arts, Technology and Engineering)