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BSc (Hons) January start available

Artificial Intelligence

Your future in AI starts here with skills employers demand and connections that launch global tech careers.

Start date
January 2026
September 2026
Location
Cambridge
Duration
3 years
UCAS course code
I400

Start date
January 2026
September 2026
Location
Cambridge
Duration
4 years with foundation
UCAS course code
I400

Start date
January 2026
September 2026
Location
Cambridge
Duration
4 years with placement
UCAS course code
I401
2nd

in the UK for Teaching on my Course, Assessment and Feedback, Learning Resources and Student Voice.

Source: Subject ranking for artificial intelligence, NSS 2025

Artificial Intelligence is transforming the world, and this accredited degree puts you at the forefront.

At ARU in Cambridge, you’ll master machine learning, neural networks and ethical AI while creating solutions that transform industries. You’ll be surrounded by Europe’s largest tech cluster and gain unrivalled access to industry leaders, internships and cutting-edge resources.

Graduate ready to shape tomorrow in roles spanning AI development, data science and robotics – where creativity meets technology.

BCS and IET

Our course is accredited by IET and BCS on behalf of the Engineering Council as fully meeting the academic requirement for registration as an Incorporated Engineer and partly meeting the academic requirement for registration as a Chartered Engineer. It is also Accredited by BCS for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional.

BCS Logo IET (The Institution of Engineering and Technology) logo
Why ARU?
  • Study in Cambridge's ‘Silicon Fen’, Europe's largest tech cluster and home to employers such as Apple, Microsoft and Samsung AI.

  • Bring the world of work to life through Live Briefs, designed with employers such as Mathworks and Citisoft to give you exposure to ‘real world’ problem-solving.

  • Access exclusive online resources from Intel AI Academy, Amazon AWS Educate, Pluralsight, LinkedIn Learning and zyBooks.

  • Get hands-on in our AI lab using advanced software packages, Microsoft Azure and VMware IT Academy.

  • Study an accredited course, at a university that's been a Cisco Network Academy for over ten years.

Teaching Excellence Framework Gold award logo
   

Study at an award-winning university

We've received a Gold award for the quality of our education in a UK-wide review of teaching standards. We were also proud to be named Times Higher Education University of the Year 2023.

Careers

Noel Mukhamejanov

This university gives you more than theoretical knowledge, it is also teaches you how to be your better self.

Noel Mukhamejanov, BSc (Hons) Artificial Intelligence

This degree opens doors to diverse, high-demand careers as AI development, machine learning engineering and robotics.

You might work on data science projects in fields like business forecasting and digital healthcare. Your technical foundation will also create opportunities in web development, IT systems and digital security.

With industry connections and hands-on experience, you’ll graduate equipped for a future where technology drives every sector.

Teaching and modules

Dr Md Mahmudul Hasan

The future is AI, and the intelligence revolution starts here. Unlock the intelligence, unleash potential, explore AI and design tomorrow.

Dr Mahmud Hasan, Senior Lecturer

At ARU, you’ll learn about the principles and applications of AI, the systems that underpin it, and the advanced algorithms that are employed.

You'll use the most up-to-date technologies – including software packages and hardware infrastructure – and work on live brief assignments from companies like Mathworks, ARM or Citisoft.

To support your studies, there’s access to online resources from the Intel AI Academy and Amazon AWS Educate programme, and 12-month access to Pluralsight online training courses for programmers.

Modules are subject to change and availability, and may vary by location. If you have the choice of optional modules, these are indicated with a *.

Year 1
  • Introduction to Programming (30 credits)
  • Computer Systems (30 credits)
  • Computer Modelling and Simulation (15 credits)
  • Fundamentals of Artificial Intelligence (15 credits)
  • Introduction to Mathematical Techniques for Artificial Intelligence (30 credits)
  • Into ARU
Year 2
  • Database Design and Implementation (15 credits)
  • Software Engineering (30 credits)
  • Ruskin Module (15 credits)
  • Advanced Analytical Techniques for Artificial Intelligence (15 credits)
  • Machine Learning (15 credits)
  • Artificial Neural Networks (15 credits)
  • Algorithm Analysis and Data Structures (15 credits)
Year 3
  • Final Project (30 credits)
  • AI Techniques (Fuzzy Logic and Genetic Algorithms) (15 credits)
  • Professional Issues: Computing and Society (15 credits)
  • Deep Learning (15 credits)
  • Cloud Computing (15 credits)
  • Image Processing (15 credits)
  • Embedded Computing (15 credits) *
  • Distributed Programming (15 credits) *
Module details

To prepare you for university study, you can take a foundation year at the start of this course. Find out more about foundation years.

Year 1
  • Foundation in Engineering, Computing and Technology
Module details

You can choose to take an optional placement year as part of this course. Placements typically happen in Year 3, and your course will take four years overall. Find out more about placement years.

Year 3
  • Work Placement - Computing and Information Sciences
Module details

Read profiles of teaching and research staff on this course.

Facilities

Based in our £45m Science Centre in the heart of Cambridge, you’ll work with specialist computing facilities, including:

You’ll have access to:

  • Nine dedicated computer labs and skills spaces for computer science, artificial intelligence, cyber security and software engineering.
  • A Cisco and AI lab with high spec computers and hands-on routing and switching equipment.
  • Online educational resources from the Intel AI Academy and Amazon AWS Educate programme, Pluralsight, LinkedIn Learning and zyBooks.
  • AI lab/software packages, Microsoft Azure and VMware IT Academy.

Take a guided tour and meet our students.

Entry requirements

Fees and funding

Apply for Artificial Intelligence

UK students

International students

Official student data

See student feedback on this course from Discover Uni.