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

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.

* PlacePod, a real-world environment for developing and testing innovative digital and AI-enabled research.

* 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.

Our cutting-edge, industry-standard facilities and equipment mean you can take an active role in all parts of robot creation, from design to assembly.

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

With Luton AI, benefit from working with local businesses to help them integrate AI into their operations.

Showcase your work to invited industry professionals and get involved in leading-edge 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 were closely involved in organising the AI, Cybersecurity and Economics Data Analytics (ACE) workshop for the 2026 IEEE International Congress on Cyber Science and Technology, meaning our course is up to the minute with the latest advancements in the field.

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

## Modules

#### Course modules

Engineering mathematics – Solve real-world engineering problems using different mathematical approaches. Mathematics and concepts for computational thinking - Apply maths-based coding skills to build software applications using programming languages like Python. Robot principles and design – Learn how a robot works as a mechanical device and create your own robot using 3D printing.

Principles of programming and data structures - Develop your skills in using a high-level programming language and apply those skills to real-world problems.

Concepts and technologies of artificial intelligence – Explore the main AI concepts and technologies typically used to solve real-world problems. Information security - Gain advanced knowledge of tools and techniques for cyber defence, threat intelligence and information governance.

Desktop applications development and software engineering – Acquire strong programming skills for desktop applications, solving industry-relevant problems. Robot intelligent control - Design and implement intelligent control for robotic systems, including sensors, actuators and automatic control.

Advanced robotics – Build your technical knowledge and hands-on experience in areas of robotics technology such as human-robot interaction and object/intention recognition. Agile project management – Gain valuable project-management skills for your graduate career. Research methodologies and emerging technologies – Plan your Honours project around current or emerging technologies, using research to back up your proposal.

Undergraduate project – Work independently to develop and complete a major project on a topic of your choice, solving a complex problem.

We make every effort to ensure the information here is accurate; however, for the most up-to-date information, visit our website.

## Ways to study this course

#### Campuses

* Luton Campus

#### Study options

* Bachelor of Science (with Honours) • Full-Time • 3 Years

#### Start dates

## Apply by

13 January 2027

This is the equal consideration deadline. You can still apply after this date, but your application may not receive guaranteed consideration.

## Application codes

Course code:

Institution code:

Campus name:

Points of Entry:

Year 1, 2, 3

University of Bedfordshire has participated in the Teaching Excellence Framework. These ratings were awarded in 2023, for four years.

See why these ratings were awarded

What does this TEF outcome mean?

## How to apply

### Apply by

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

### Points of entry

The following entry points are available for this course:

* Year 1

* Year 2

* Year 3

## Entry requirements

### Typical qualification requirements

UCAS Tariff

Offer: 96

Scottish Higher

96 UCAS Tariff points

Access to HE Diploma

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

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

院校未公布 DSE 對應等級，請向院校確認。

請查看下方完整入學要求原文，或向院校確認。

成績符合不等於錄取；資料取自院校官方公開頁，取得日期見各課；最終以院校為準。

報告這課資料錯誤