Program start date | Application deadline |
2026-09-01 | - |
Program Overview
MEng Robotics and Artificial Intelligence - 2026 entry
Overview
Help shape our future by studying Robotics and Artificial Intelligence. Prepare to lead and innovate in this rapidly evolving field which is set to revolutionise how we live and work.
Gain hands-on experience in autonomous systems, machine learning and intelligent robotics. Engage with projects ranging from developing self-driving vehicles to creating advanced robotic manipulators.
Dive deeper into robotics and AI with an integrated Masters. In the final year of the MEng course, you’ll explore more advanced topics and put your skills into practice with an investigative project.
Benefit from state-of-the-art teaching lab spaces equipped with the latest robotics equipment and get involved in real-world challenges and projects.
Prepare for exciting roles in diverse industries such as manufacturing, product development and software engineering, where expertise in robotics and AI is in high demand.
Entry Requirements
- Typical offer: A-Level: AAA, IB: 36/666, BTEC: DDD
- Contextual offers: A-Level: AAC, IB: 32/655, BTEC: DDM
- Specific subject requirements: GCE A-Level Maths grade A and another science* subject at grade A
- GCSE: Grade 4/C in GCSE English Language
- Access to HE: 30 L3 credits at Distinction Grade and 15 L3 credits at Merit Grade
- T-Level: Distinction in Design and Development for Engineering and Manufacturing, or T-Level in Design, Surveying and Planning for Construction
- Other accepted qualifications: View other accepted qualifications
- English language requirements: International students need to show they have the required level of English language to study this course
Course Content
- Year 1: 120 credits of compulsory modules
- ENG1002: Engineering Mathematics and Scientific Computing
- ENG1005: Multi-Disciplinary Group Challenge Project
- ENS1000: Fundamentals of Engineering
- ENG1007: Fundamentals of Mechanics
- ENG1008: Fundamentals of Materials
- ENG1009: Fundamentals of Electronics
- Year 2: 120 credits of compulsory modules
- ENG2008: Microcontroller Engineering
- ENG2009: Modelling of Engineering Systems
- ENG2017: Communication and Networking Technologies
- ENG2118: Analogue and Digital Electronics Design
- ENS2000: Python and ROS for Robotics
- ENS2001: Robotics and AI Challenge Project
- ENS2005: Control Engineering
- Year 3: 105 credits of compulsory modules, 15 credits of optional modules
- ECM3166: Communications Engineering
- ENG3012: Mechatronics
- ENS3000: Distributed Algorithms for Robotics
- ENS3001: Machine Learning and AI
- ENS3002: Robotics and AI Group Project
- ENS3015: Industry 4.0
- Optional modules:
- ECM3165: Digital Signal Processing
- ENG3023: Zero Emission Vehicles
- PHY3222: Energy, Materials and Sustainability
- Final year: 90 credits of compulsory modules, 30 credits of optional modules
- ENGM015: MEng Individual Investigative Project
- ENGM020: Robotics and Automation
- ENSM002: Motion Planning
- ENSM003: Optimisation Methods
- Optional modules:
- ECMM141: Multivariable State-Space Control
- ECMM410: Research Methodology
- ENGM002: Advanced Communication Systems
- ENGM010: Data-Centric Engineering
- ENGM018: Nonlinear Control
- ENSM004: Validation and Safe Autonomy
Fees
- Tuition fees for 2025 entry: UK students: £9,535 per year, International students: £30,900 per year
- Scholarships: The University of Exeter has many different scholarships available to support your education
Learning and Teaching
- Contact time: Typically 15-32 hours of direct contact time per week with academics
- Independent study: Expected to supplement lectures with independent study, with a total workload of around 40 hours per week during term time
- Facilities: State-of-the-art teaching lab spaces equipped with the latest robotics equipment
- Assessment: Modules are assessed by a combination of continuous assessment through small practical exercises, project work, essay writing, presentations and exams
Your Future
- Career opportunities: Robotics and artificial intelligence are among the fastest-growing fields, creating a high demand for skilled professionals to drive innovation
- Graduate destinations: Manufacturing, product development, software engineering, and other diverse industries
- Skills: Strong technical skills, including proficiency in programming languages and software, along with essential abilities in analytics, problem-solving and project management
Related Courses
- Robotics and Artificial Intelligence BEng
- Electrical and Electronic Engineering MEng
- Engineering and Management MEng
- Mechanical Engineering MEng
- Engineering MEng
- Engineering and Entrepreneurship MEng
- Civil Engineering MEng
- Biomedical Engineering MEng