Program Overview

BEng 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.

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: AAB-ABB
  • IB: 34/665-32/655
  • BTEC: DDD-DDM
• Contextual offers:
  • A-Level: BBB-BBC
  • IB: 30/555-28/544
  • BTEC: DDM-DMM
• Required subjects:
  • GCE A-Level Maths grade B and another science* subject at grade B.
  • HL5 in Mathematics (Analysis and approaches or Applications and interpretations) and HL5 in another Science subject.
  • See below under 'read more' for further information on BTEC Extended Diploma.
• GCSE:
  • Grade 4/C in GCSE English language
• Access to HE:
  • 30 L3 Credits at Distinction Grade and 15 L3 credits at Merit Grade - 24 L3 Credits at Distinction Grade and 21 L3 credits at Merit Grade.
  • 12 L3 Credits at Merit Grade in Mathematics and 12 L3 Credits at Merit Grade in an acceptable Science subject area.
• T-Level:
  • Distinction
  • T-Level in Design and Development for Engineering and Manufacturing, or T-Level in Design, Surveying and Planning for Construction. GCE A-Level Maths is still required.

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.

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.

Year 1

• 120 credits of compulsory modules.
• 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.
• 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

Final Year

• 105 credits of compulsory modules, 15 credits of optional modules.
• Compulsory modules:
  • ECM3166: Communications Engineering
  • ECM3175: Individual Project
  • ENG3012: Mechatronics
  • ENS3000: Distributed Algorithms for Robotics
  • ENS3001: Machine Learning and AI
  • ENS3015: Industry 4.0
• Optional modules:
  • ECM3165: Digital Signal Processing
  • ENG3023: Zero Emission Vehicles
  • PHY3222: Energy, Materials and Sustainability

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.

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.

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.