Artificial Intelligence BSc (Hons)

Our specialist facilities are perfect places to develop practical skills and get experience of working with industry-standard tools, such as VMware IT Academy and AWS. We encourage collaboration, so you’ll also learn through activities with your peers, and lectures and seminars from industry experts.

Course details

From self-driving cars to chess-playing computers, artificial intelligence (AI) has been shaping our world for some time now. With our BSc (Hons) Artificial Intelligence degree in Cambridge, you’ll explore the science of machine learning and develop the skills to firmly place yourself at the forefront of technological innovation.
  • Mode of study: 3-4 days  a week
  • Intakes: September
  • Course length: 3-4 years
  • Course fee: 9250 per year
  • Locations: Chelmsford campus

Anglia Ruskin Univesity, ARU

Course overview

Our Artificial Intelligence degree course has been designed with the industry and employers in mind, meaning you have the opportunity to learn the professional skills you’ll need after graduation. The course is supported by our Employers’ Advisory Group, which includes experts from companies like ARM, Redgate, Amazon and Cambridge Spark. During your time at ARU, you’ll work on live brief assignments proposed by companies like Mathworks or Redgate and you will have 12-month access to Pluralsight professional online training courses for programmers, which is included in and guided through the Introduction to Programming module. This gives you enhanced opportunities to experience real-world professional training as part of your academic course. 


Entry requirements

112 UCAS Tariff points from a minimum of 2 A Levels (or equivalent), including a pass in Mathematics at grade E or above. 3 GCSEs at grade C, or grade 4, or above, including English and Maths. If English is not your first language you will be expected to demonstrate a certificated level of proficiency of at least IELTS 6.0 (Academic level- with no individual score being lower than 5.5) or equivalent English Language qualification, as recognised by Anglia Ruskin University.


With our Artificial Intelligence degree, you’ll build the skills you need to work in both the development and application of artificial intelligence. You will develop the technical and analytical skills to approach data science projects in a variety of fields, from business forecasting to digital healthcare. 

Alongside these skills, you’ll also acquire a solid understanding in the areas of computer science relevant to AI including programming, computer systems and digital security, providing a foundation for any number of careers including web development, IT systems or even creating your own apps.


Modules are assessed through a combination of coursework (coding, reports, logbooks, presentations, group and individual projects) and exams. Indicatively, the amount of coursework and exam is 52% to 48% in year 1 and 72% and 22% in years 2 and 3, with some possible year on year variation.

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