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4 Years On Campus Bachelors Program
University College LondonThe MEng in Robotics and Artificial Intelligence at UCL is an exciting four-year program that blends cutting-edge AI with hands-on robotics. It’s perfect for students who love solving real-world problems using intelligent systems, combining strong technical skills with creative, practical projects.
Curriculum Structure:
Year 1:
In the first year, you’ll build a solid foundation in maths, programming, and mechanical principles. Modules like Mathematics for Robotics and AI 1, Introduction to Mechanical Systems, and Introduction to Programming for Robotics and AI introduce you to the core concepts. You’ll also get hands-on with Mechatronics and Making, where theory comes alive through practical projects.
Year 2:
Year two dives deeper into control systems, simulation, and software development. You’ll study Control 2, Modelling and Simulation, and Object-Oriented Programming for Robotics and AI, gaining the tools to design and control intelligent systems. The Industrial Project in Robotics and AI gives you the chance to tackle real-world challenges.
Year 3:
In your third year, you’ll explore advanced AI and robotics topics like Deep Learning for Robotics and AI, Networking, Real-time Operating Systems and Security, and Simultaneous Localization and Mapping. The Robotics and AI Group Project helps you apply your knowledge while collaborating with peers.
Year 4:
The final year lets you specialise and innovate. Modules such as Multi-agent Systems, Scene Understanding and Situational Awareness, and Human Robot Interaction allow you to focus on your interests. The MEng Robotics and AI Individual Project is your chance to pursue in-depth research or industry-focused work, with optional units like Inclusive Design and Environments or Entrepreneurship to tailor the degree to your goals.
Focus Areas:
Robotics, Artificial Intelligence, Mechatronics, Machine Learning, Control Systems, Human-Robot Interaction, Multi-agent Systems
Learning Outcomes:
Design and program intelligent robotic systems, apply machine learning effectively, understand control theory, and solve real-world engineering challenges.
Professional Alignment (Accreditation):
The program is accredited by the Institution of Engineering and Technology (IET) and the Institution of Mechanical Engineers (IMechE), meeting professional engineering standards.
Reputation (Employability Rankings):
UCL is globally recognised for excellence, and this program’s mix of theory and hands-on experience prepares graduates for top careers in robotics, AI, and related fields.
At UCL, the MEng Robotics and Artificial Intelligence isn’t just about learning theory—it’s about doing. From day one, students get hands-on experience designing, building, and testing intelligent systems. With access to cutting-edge labs, high-performance computing, and industry collaborations, you’ll develop practical skills that make you career-ready while working on projects that truly matter.
Here are some of the key ways you’ll get practical experience:
UCL Innovation Lab: A creative space to design and test robotic systems, bringing your ideas to life.
Robotics & AI Showdown: An annual competition where students showcase their projects, emphasizing teamwork and real-world problem solving.
Intelligent Robotics Lab at UCL East: Equipped with advanced robotics platforms for autonomous systems research and development.
Industry Collaborations: Work with leading companies like Arrival and Tesla to see how robotics and AI are applied in the real world.
Research Centres: Engage with the Intelligent Robotics Group and the Centre for Artificial Intelligence on cutting-edge projects.
High-Performance Computing Facilities: Access state-of-the-art computing resources for simulations and machine learning tasks.
Workshops and Seminars: Learn from experts in academia and industry, enhancing your skills and professional network.
These opportunities make sure that by the time you graduate, you’re not just knowledgeable—you’re confident in applying your skills to real-world challenges.
Graduates from UCL’s MEng Robotics and Artificial Intelligence leave well-prepared to step straight into exciting careers. With strong skills in AI, robotics, and mechatronics, alumni often take on roles such as Robotics Software Engineer, AI Research Scientist, Systems Engineer, or Autonomous Vehicle Engineer. Your learning is designed not just for knowledge, but to make you confident and capable in real-world settings.
Here’s how UCL supports your career journey:
UCL Careers Services: Personalized advice, CV workshops, mock interviews, and networking events to help you transition from student life to professional life.
Employment Stats: Around 90% of UCL Computer Science graduates are employed or in further study within 15 months of finishing their degree.
Salary Insights: Graduates earn an average of £37,369, with a median salary of £32,000.
Industry Partnerships: Collaborations with companies like Microsoft, Intel, Cisco, and the NHS give you opportunities to work on real-world projects.
Accreditation: The program is professionally accredited by the Institution of Engineering and Technology (IET) and the Institution of Mechanical Engineers (IMechE), giving your qualifications long-term value.
Further Academic Progression:
After your MEng, you can continue to deepen your expertise with:
MSc in Robotics and Artificial Intelligence: A one-year program focusing on advanced topics and practical research.
PhD in Robotics or AI: Perfect if you’re interested in research or academic careers.
Postgraduate Certificates or Diplomas: Shorter programs that let you specialise in areas such as machine learning, autonomous systems, or human-robot interaction.
These pathways let you build on your degree and stay at the cutting edge of robotics and AI, opening doors to both advanced careers and innovative research opportunities.
GCSEs English Language and Mathematics at grade C or 4.A-level - A*A*A at A-level, including A* in Mathematics or Further Mathematics.IB - 40 points overall, with 20 points from three higher-level subjects, including a grade 7 in Mathematics (HL), either Mathematics: Analysis and Approaches or Mathematics: Applications and Interpretation.IELTS - Overall score of 6.5 and a minimum of 6.0 in each componentTOEFL - Overall score of 92, with 24 in Reading and Writing, and 20 in Speaking and Listening; TOEFL iBT Home Edition accepted, but MyBestScore and TOEFL Essentials not accepted.India - Year 12 (Standard XII) with five subjects at 95, 95, 95, 95, 90 from CBSE, CISCE, or approved State Boards (Karnataka, Maharashtra, Tamil Nadu, West Bengal), including 95 in Mathematics, or one year of a recognised bachelor’s degree with an average equivalent to a UK Upper Second Class.USA - Either five APs at grade 5, or two APs at grade 5 plus SAT 1500 / ACT 34 with High School Diploma, or one year at a recognised U.S. university/college with GPA 3.3/4.0 (30 credits). A* equivalent requires 5 in full-year Mathematics AP subject.Alongside the UCAS application, applicants must sit the TARA (Test of Academic Reasoning for Admissions) administered by University Admissions Tests UK.Robotics EngineerArtificial Intelligence EngineerMachine Learning SpecialistAutonomous Systems EngineerControl Systems EngineerSoftware DeveloperData ScientistAI Research ScientistMechatronics EngineerComputer Vision EngineerAutomation EngineerHuman-Robot Interaction SpecialistEmbedded Systems DeveloperRobotics Software EngineerResearch and Development Engineer
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