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Artificial Intelligence and Robotics

Course details
  • BSc (Hons)
  • 3 Years
  • Full-time
  • 09/2026
  • Undergraduate
Course location
Luton Campus

Course summary

The idea that we can combine robotic systems with artificial intelligence to produce a new generation of machinery is no longer the stuff of science fiction – it’s science reality. This cutting-edge course puts you at the heart of one of today’s most innovative fields, with a focus on developing your hands-on skills right from the start. Through understanding of theory, a practice-based approach and real-life work projects, you gain a solid conceptual grounding, to-the-minute specialist knowledge and advanced technical skills.

Course Accreditation/Industry Endorsement

  • This course is fully accredited by the British Computer Society (BSC), the Chartered Institute for IT, meaning you qualify for chartered IT professional status once you graduate.

Facilities and Specialist Equipment

  • Dedicated computing labs and group study hubs in our modern, purpose-built STEM building.

  • Cloud robotics and connected AI research laboratory with specialist equipment, including an industry-standard robot arm and mobile robots, programmable drones, integrated oscilloscope, and powerful AI computer.

  • Cutting-edge technology such as Auto-CAD, MATLAB and ROS software, alongside a 3D printer and well-stocked hardware supply for robot construction.

  • Access to Multisim, LabView and VMware Workstation.

Your Student Experience

  • Our unique blend of theoretical and hands-on work keeps you up to date with state-of-the-art technologies and prepares you for an exciting future.

  • Take on work-based projects in close collaboration with companies such as HAL Robotics and TWI.

  • Showcase your work to invited industry professionals and get involved in up-to-the-minute research projects.

  • Learn from the expertise of our highly qualified academic team, many of whom are leading researchers and active consultants in areas such as enhanced robot technology and nanorobotics in cancer cell exploration.

  • Our academics organised the CROP workshop on the 2024 IEEE International Conference on Robotics and Automation (ICRA), one of the two top-tier conferences in robotics, meaning our course is kept up to date with the latest advancements in the field.

  • Be guided by our dedicated academic success tutors, there to support you through your studies.

Modules

Areas of study include:

  • Engineering Mathematics
  • Mathematics and Concepts for Computational Thinking
  • Principles of Programming and Data Structures
  • Robot Principles and Design
  • Desktop Applications Development and Software Engineering
  • Mobile Application Development
  • Operational Information Security Management
  • Robot Intelligent Control
  • Advanced Robotics
  • Agile Project Management
  • Ai and Mobile Robots
  • Research Methodologies and Emerging Technologies
  • Social and Professional Project Management
  • Undergraduate Project in Artificial Intelligence and Robotics

Every effort is made to ensure this information is accurate at the point of publication on the UCAS website. For the most up-to-date information, please refer to our website.

How to apply

Apply by
14 January

This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Application codes

Course code:
GH76
Institution code:
B22
Campus name:
Luton Campus
Campus Code:
D

Points of entry

The following entry points are available for this course:

  • Year 1
  • Year 2
  • Year 3

Open days

Entry requirements

Qualification requirements

UCAS Tariff - 96 points

A level - CCC

Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016) - MMM

Access to HE Diploma

96 UCAS Tariff points

Scottish Higher

96 UCAS Tariff points

Applicants with other qualifications will be considered. If you would like to check that your qualifications will be accepted please contact the university.

Historical entry grades data BETA

This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted with (learn more). It is designed to support your research but does not guarantee whether you will or won't get a place. Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.

Not enough data available

We are unable to show previous accepted grades for this course. This could be because the course is new, it's a postgraduate course, there isn't enough historical data, or the provider has opted out of sharing their entry grades data for this course - learn more.

Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website.

Additional fee information

For information on the 2026 fees please refer to our website, https://www.beds.ac.uk/howtoapply/money/fees/

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