| UCAS code | H111 |
|---|---|
| Duration | 4 years |
| Entry year | 2025 |
| Campus | Streatham Campus |
| Discipline | Engineering |
| Contact | Web: Enquire online |
| Typical offer | A-Level: AAA |
|---|---|
|
A-Level: AAC |
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.
Top 10 in the UK for General Engineering
10th in the Complete University Guide 2025 and 8th in The Times and The Sunday Times Good University Guide 2025
Hands-on course with an emphasis on practical project work
92% of our Engineering research is internationally excellent
Based on research rated 4* + 3* in REF 2021
£6.5million investment in our teaching labs, workshop spaces and equipment
Entry requirements (typical offer)
| Qualification | Typical offer | Required subjects |
|---|---|---|
| A-Level | AAA | GCE A-Level Maths grade A and another science* subject at grade A. Candidates may offer GCE A-Level Maths, Pure Maths or Further Maths. |
| IB | 36/666 | HL6 in Mathematics (Analysis and approaches or Applications and interpretations) and HL6 in another science subject. Applicants achieving IB Maths SL7 plus IB HL6 in Physics will also be considered. |
| BTEC | DDD | See below under 'read more' for further information |
| GCSE | 4 or C | Grade 4/C in GCSE English Language |
| Access to HE | 30 L3 credits at Distinction Grade and 15 L3 credits at Merit Grade. | 15 L3 credits at Distinction Grade in an acceptable Mathematics subject area and 15 L3 credits at Distinction Grade in another science subject area. |
| T-Level | Distinction | T-level in Design and Development for Engineering & Manufacturing only, GCE A-Level Maths is still required |
| Contextual Offer | A-Level: AAC |
Specific subject requirements must still be achieved where stated above. Find out more about contextual offers. |
| Other accepted qualifications | ||
| English language requirements |
International students need to show they have the required level of English language to study this course. The required test scores for this course fall under Profile B1. Please visit our English language requirements page to view the required test scores and equivalencies from your country. |
|
NB General Studies is not included in any offer.
Grades advertised on each programme webpage are the typical level at which our offers are made and provide information on any specific subjects an applicant will need to have studied in order to be considered for a place on the programme. However, if we receive a large number of applications for the programme we may not be able to make an offer to all those who are predicted to achieve/have achieved grades which are in line with our typical offer. For more information on how applications are assessed and when decisions are released, please see: After you apply
*Accepted GCE A-Level/AS science subjects include: Biology/Human Biology**; Chemistry; Computing; Design and Technology; Economics; Electronics; Environmental Science; Environmental Studies; Geography; Geology; Life and Health Sciences; Physical Education; Physics; Psychology; Science (applied); Statistics.
**If more than one of these is taken they would only count as one 'science' but could count as two A-levels towards our general requirements.
BTEC Extended Diploma
Applicants studying one of the following BTEC Extended Diplomas will be considered without a GCE A-Level science subject (GCE A-Level Maths is still required): Applied Science, Aeronautical Engineering, Building Services Engineering Construction and the Built Environment, Civil Engineering, Operations and Maintenance Engineering, Computer Engineering, Electrical/Electronic Engineering, Engineering, Manufacturing Engineering, Mechanical Engineering, Environmental Sustainability.
For any questions relating to entry requirements please contact the team via our online form or 01392 724061.
Course content
Robotics and artificial intelligence are pivotal to modern society, with increasing demand for skilled professionals. In your first year on the course, you'll build a solid foundation in mechanical, electronic and materials engineering.
As you advance, you'll specialise in robotics and artificial intelligence, delving into autonomous systems, machine learning and intelligent robotics. Key topics include robot sensing, path planning and AI-driven decision-making. In your fourth year, you’ll put your skills into practice with an individual investigative project.
The course features extensive hands-on projects, allowing you to apply theory and develop practical skills. You'll work on exciting projects such as developing self-driving vehicles and creating advanced robotic manipulators.
If you are interested in Formula Student, you have the option to join the student team to build and program a fully autonomous car. If your team passes the selection process and demonstrates strong project development, you will have the opportunity to participate in the Formula Student AI competition at Silverstone circuit.
The modules we outline here provide examples of what you can expect to learn on this degree course based on recent academic teaching. The precise modules available to you in future years may vary depending on staff availability and research interests, new topics of study, timetabling and student demand.
120 credits of compulsory modules.
Compulsory modules
| Code | Module | Credits |
|---|---|---|
| ENG1002 | Engineering Mathematics and Scientific Computing | 30 |
| ENG1005 | Multi-Disciplinary Group Challenge Project | 30 |
| ENG1006 | Entrepreneurship 1 | 15 |
| ENG1007 | Fundamentals of Mechanics | 15 |
| ENG1008 | Fundamentals of Materials | 15 |
| ENG1009 | Fundamentals of Electronics | 15 |
120 credits of compulsory modules.
Compulsory modules
| Code | Module | Credits |
|---|---|---|
| ENG2008 | Microcontroller Engineering | 15 |
| ENG2009 | Modelling of Engineering Systems | 15 |
| ENG2017 | Communication and Networking Technologies | 15 |
| ENG2118 | Analogue and Digital Electronics Design | 15 |
| ENS2DCX36 | Python and ROS for Robotics | 15 |
| ENS2DCX37 | Robotics and AI Challenge Project | 30 |
| ENS2DCX41 | Control Engineering | 15 |
105 credits of compulsory modules, 15 credits of optional modules.
Compulsory modules
| Code | Module | Credits |
|---|---|---|
| ECM3166 | Communications Engineering | 15 |
| ENG3012 | Mechatronics | 15 |
| ENS3DCX42 | Distributed Algorithms for Robotics | 15 |
| ENS3DCX43 | Machine Learning and AI | 15 |
| ENS3DCX44 | Robotics and AI Group Project | 30 |
| ENS3DCX57 | Industry 4.0 | 15 |
Optional modules
| Code | Module | Credits |
|---|---|---|
| ECM3165 | Digital Signal Processing | 15 |
| ENG3023 | Zero Emission Vehicles | 15 |
| PHY3222 | Energy, Materials and Sustainability | 15 |
90 credits of compulsory modules, 30 credits of optional modules.
Compulsory modules
| Code | Module | Credits |
|---|---|---|
| ENGM015 | MEng Individual Investigative Project | 45 |
| ENGM020 | Robotics and Automation | 15 |
| ENSMDCX58 | Motion Planning | 15 |
| ENSMDCX59 | Optimisation Methods | 15 |
Optional modules
| Code | Module | Credits |
|---|---|---|
| ECMM141 | Multivariable State-Space Control | 15 |
| ECMM410 | Research Methodology | 15 |
| ENGM002 | Advanced Communication Systems | 15 |
| ENGM010 | Data-Centric Engineering | 15 |
| ENGM018 | Nonlinear Control | 15 |
| ENSMDCX60 | Validation and Safe Autonomy | 15 |
Studying at Exeter is really enjoyable. There are so many different ways you can ask for support from academics who are always there to help you.
The best part about my subject is all of the hands-on opportunities. Almost all of the labs you see are ones you could have opportunities to use.
Emily
An Engineering student
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, including £5 million in scholarships for international students applying to study with us in the 2025/26 academic year, such as our Exeter Excellence Scholarships*.
Financial support is also available for students from disadvantaged backgrounds, lower income households and other under-represented groups to help them access, succeed and progress through higher education.
* Terms and conditions apply. See online for details.
Learning and teaching
You’ll typically have between 15 and 32 hours of direct contact time per week with academics and you will be expected to supplement your lectures with independent study. You should expect your total workload to average about 40 hours per week during term time.
In addition to lectures, you’ll also have access to our workshops and laboratories where you’ll be trained to use specialist equipment, supporting and developing what you’ve learnt in the classroom and putting it into practice.
Facilities
You will benefit from state-of-the-art teaching lab spaces equipped with the latest robotics equipment. These facilities provide hands-on experience, allowing you to experiment, innovate and apply theoretical knowledge to practical scenarios.
A research and practice led culture
All our academic staff are internationally-recognised scientists working across a wide range of topics. Your course will draw on the very latest ideas, research discoveries and new technologies in the field. You’ll be able to participate directly in current research at various stages throughout your degree.
Student projects are often linked to our research activities and may involve working with industrial partners.
Assessment
Modules are assessed by a combination of continuous assessment through small practical exercises, project work, essay writing, presentations and exams. You must pass your first year assessment in order to progress to the second year, but the results do not count towards your degree classification.
Project work is a core element of this degree, providing invaluable experience of problem-solving, engineering design and team working.
Your future
Robotics and artificial intelligence are among the fastest-growing fields, creating a high demand for skilled professionals to drive innovation.
As a graduate, you'll be highly sought after for your expertise in autonomous systems, machine learning and intelligent robotics. You'll bring strong technical skills, including proficiency in programming languages and software, along with essential abilities in analytics, problem-solving and project management.
The practical experience gained at Exeter will set you apart from other graduates, as you will have applied theoretical knowledge to real-world industry challenges. Your specialised skills will position you as a valuable asset in diverse sectors, including manufacturing, product development and software engineering.
With a robust foundation in engineering, mathematics, computer science, robotics and AI, you will be well-equipped to shape the future of technology.
Top 10 in the UK for General Engineering
10th in the Complete University Guide 2025 and 8th in The Times and The Sunday Times Good University Guide 2025
Hands-on course with an emphasis on practical project work
92% of our Engineering research is internationally excellent
Based on research rated 4* + 3* in REF 2021
£6.5million investment in our teaching labs, workshop spaces and equipment
