BSc Artificial Intelligence and Robotics

3 Years On Campus Bachelors Program

Aberystwyth University

Program Overview

If you’ve ever been fascinated by intelligent machines, self-driving cars, or how robots can think and move like humans, this degree is for you. The BSc Artificial Intelligence and Robotics at Aberystwyth University combines cutting-edge computer science with hands-on robotics to help you design, build and program intelligent systems for the future.


Curriculum Structure

Year 1:
Your first year lays the foundation for everything that follows. You’ll get to grips with how computers actually work in Introduction to Computer Infrastructure and learn essential coding skills through Introduction to Programming and Programming Using an Object-Oriented Language. You’ll also explore Web Development and Information Security, giving you a solid technical base in both software and hardware from day one.

Year 2:
In your second year, you’ll take a big step towards becoming a robotics and AI specialist. Modules like Algorithm Design and Data Structures and Artificial Intelligence teach you how machines learn and make decisions, while Robotics and Embedded Systems lets you work directly with hardware and sensors. You’ll also learn powerful programming languages such as C and C++—skills that employers across the tech world value highly.

Year 3:
Your final year is all about independence and innovation. You’ll lead your own Major Project, designing and building something that showcases your creativity and technical expertise. Alongside this, modules like Machine Learning, Robotic Applications, and Professional Issues in the Computing Industry prepare you for real-world challenges—whether you’re aiming for a career in robotics, AI research, or the wider tech industry.


Focus areas:
Artificial intelligence, robotics and embedded systems, machine learning, software engineering, programming (C/C++ and object-oriented languages), and professional practice in computing.

Learning outcomes:
By graduation, you’ll be able to design, build, and evaluate intelligent robotic systems, write advanced software, and apply AI techniques to real problems. You’ll develop strong analytical, programming, and teamwork skills that make you ready for a fast-moving digital world.

Professional alignment (accreditation):
This degree is accredited by BCS – The Chartered Institute for IT, meeting the academic requirements for registration as a Chartered IT Professional (CITP) and partially fulfilling those for Chartered Engineer (CEng) status.

Reputation (employability rankings):
Aberystwyth University’s Computer Science department is ranked Top 10 in the UK for satisfaction with teaching and overall student experience (Guardian University Guide 2023). Graduates from this course typically earn around £28,000 within fifteen months of finishing their degree, reflecting strong industry demand for AI and robotics specialists.

Experiential Learning (Research, Projects, Internships etc.)

At Aberystwyth, learning AI and Robotics isn’t just about lectures — it’s about creating, experimenting, and testing your ideas in real-world conditions. From the moment you start, you’ll spend time in hands-on labs, working with real robots, programming hardware, and using industry-standard software. You’ll learn to design intelligent systems from the ground up, with the support of cutting-edge technology and expert mentors who are passionate about robotics and AI research.

You’ll get to apply what you learn every step of the way — through projects, experiments, and innovative research environments such as our intelligent robotics labs and open-air testing sites. Here’s a closer look at what makes the practical experience at Aberystwyth so unique:

  • Work with real robotics hardware: You’ll build and program your own microcontroller-based robots — including Arduino boards and mobile robots — gaining the kind of practical experience employers value most.

  • Explore dedicated robotics laboratories: The university has specialised indoor, outdoor, and space robotics labs equipped with mobile robots, manipulator arms, aerial robots, and advanced motion-tracking systems.

  • Take part in group and individual projects: Throughout your degree, you’ll collaborate with classmates on design challenges and complete a major final-year project that brings together everything you’ve learned — often producing work worthy of real-world application.

  • Use industry-standard tools and environments: You’ll have access to Linux, Mac OS X, and Windows labs connected to central servers, helping you work in realistic professional conditions while developing essential coding and teamwork skills.

  • Be part of a research-driven department: The Intelligent Robotics Group at Aberystwyth leads pioneering projects in field, marine, and space robotics — and students often get the chance to contribute or observe this exciting work.

  • Test your robots in real terrain: The new Aberystwyth Natural Terrain for Unconstrained Robotics (ANTUR) site offers over 500 hectares of fields, forests, and hills where students can test autonomous vehicles in realistic outdoor settings.

  • Enjoy access to excellent computing and library resources: With over 800 networked PCs, 24-hour labs, and the well-equipped Hugh Owen Library, you’ll always have the tools and support you need to push your projects further.

Together, these facilities and experiences make your learning journey immersive, innovative, and career-focused — preparing you to take your place at the forefront of robotics and artificial intelligence.

Progression & Future Opportunities

Graduates from Aberystwyth’s BSc in Artificial Intelligence and Robotics leave well-equipped to step straight into exciting roles in the tech industry. Many go on to become AI engineers, robotics specialists, data scientists, or software developers, applying their hands-on experience with real robotic systems and advanced programming skills to solve real-world problems. Within 15 months of graduation, around 80% of students are either employed or pursuing further study, with typical starting salaries ranging from £25,000 to £32,000.

To support your journey into the workforce:

  • Optional placement year: Gain real-world experience and industry contacts by spending a year working in a professional environment, bridging classroom learning with practical application.

  • State-of-the-art labs and equipment: Work with mobile robots, manipulator arms, microcontrollers, vision systems, and motion tracking tools — all designed to give you real, hands-on experience.

  • Industry-connected faculty: Learn from lecturers who actively engage with companies and research projects, ensuring you’re learning skills that employers really value.

  • Professional accreditation: The program is accredited by BCS, The Chartered Institute for IT, helping you on the pathway to Chartered IT Professional status and giving your CV an extra edge.


Further Academic Progression:

After your degree, there are plenty of ways to take your studies further:

  • MSc in Artificial Intelligence or Robotics: Specialise in advanced topics like machine learning, computer vision, or autonomous systems.

  • MSc in Data Science or Software Engineering: Expand your expertise in programming, data analysis, and software design.

  • PhD in Computer Science or Robotics: Dive into cutting-edge research and make a real impact in AI and robotics.

Aberystwyth University’s strong research culture and postgraduate programs mean you’ll have the opportunity to deepen your knowledge and push the boundaries of what intelligent machines can do.

Program Key Stats

£21,875
£9,535
£ 29
Sept Intake : 14th Jan


94 %

Eligibility Criteria

CCC - BBB
3.0
26 - 30
75

NA
NA
6.5
93

Additional Information & Requirements

Career Options

  • Artificial Intelligence Engineer
  • Robotics Engineer
  • Data Scientist
  • Software Developer
  • Machine Learning Engineer
  • Computer Vision Specialist
  • Embedded Systems Developer
  • Autonomous Vehicle Engineer
  • Research Scientist (AI/Robotics)
  • AI Consultant
  • Automation Engineer
  • Systems Designer
  • Human-Robot Interaction Specialist
  • AI Product Manager
  • AI Software Tester

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