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Artificial Intelligence [with Foundation Year] at Anglia Ruskin University - UCAS

Course options

2025 - 2026
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Anglia Ruskin University has participated in the Teaching Excellence Framework. These ratings were awarded in 2023, for four years.

Open days

7Jun
Anglia Ruskin University - Undergraduate Open Day - Cambridge
Undergraduate
7Jun
Anglia Ruskin University - Undergraduate Open Day - Chelmsford
Undergraduate
7Jun
ARU Peterborough - Undergraduate Open Day
Undergraduate

Course summary

Meet the future head-on and help shape the world with the science of machine learning, with our Artificial Intelligence degree. Why study Artificial Intelligence at ARU?

  • Study in ‘Silicon Fen’, home to employers including Apple, Microsoft and Samsung AI
  • Bring the world of work to life through Live Briefs; designed and developed with regional employers, such as Mathworks and Citisoft to give you exposure to ‘real world’ problem-solving.
  • Accredited by BCS and IET and a Cisco Network Academy for over ten years.
  • Access online educational resources from the Intel AI Academy and Amazon AWS Educate programme, Pluralsight, LinkedIn Learning and zyBooks.
  • Access our AI lab/software packages, Microsoft Azure and VMware IT Academy.
From self-driving cars to chess-playing computers, artificial intelligence (AI) has been shaping our world for some time now. Study at ARU in Cambridge and explore the science of machine learning and develop the skills to firmly place yourself at the forefront of technological innovation. Our accredited degree course is designed with the industry and employers in mind and will help you stand out in a range of industries. As a graduate, you’ll be able to register as an Incorporated Engineer and, with further study, become a Chartered Engineer. During your time at ARU, you’ll learn all about the principles and applications of AI, the systems that underpin AI and the advanced algorithms that are employed. To achieve this, you’ll be using the most up-to-date technologies including software packages and hardware infrastructure. You’ll also work on live brief assignments proposed by 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. With a wide range of technical and analytical skills gained on this course, you’ll be ready to work in both the development and application of artificial intelligence; and to approach data science projects in various fields – from business forecasting to digital healthcare. Meanwhile your understanding of programming, computer systems and digital security can open up career opportunities in web development, IT systems and more. Are you ready to meet the future head on?

Modules

Year 1 (Foundation Year): Foundation in Engineering, Computing and Technology Year 2: Introduction to Programming (30 credits) Computer Systems (30 credits) Computer Modelling and Simulation (15 credits) Fundamentals of Artificial Intelligence (15 credits) Introduction to Mathematic Techniques for Artificial Intelligence (30 credits) Year 3 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 4 Core modules: 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) Year 4 Optional modules: Embedded Computing (15 credits) Distributed Programming (15 credits)

Professional bodies

Professionally accredited courses provide industry-wide recognition of the quality of your qualification.

  • Engineering and Technology, Institution of
  • BCS - The Chartered Institute for IT

How to apply

29Jan

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:
I402
Institution code:
A60
Campus name:
Cambridge Campus
Campus code:
C

Points of entry

The following entry points are available for this course:

  • Year 1

Entry requirements

Qualification requirements

Please click the following link to find out more about qualification requirements for this course

https://aru.ac.uk/study/undergraduate/artificial-intelligence

English language requirements

TestGradeAdditional details
IELTS (Academic)5.5With minimum 5.5 in each component

Equivalent English Language qualifications, as recognised by Anglia Ruskin University, are also accepted.

Student Outcomes

Operated by the Office for Students
67%
Employment after 15 months (Most common jobs)
86%
Go onto work and study

The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.

Fees and funding

Tuition fees

England £9535 Year 1
Northern Ireland £9535 Year 1
Scotland £9535 Year 1
Wales £9535 Year 1
Channel Islands £9535 Year 1
Republic of Ireland £9535 Year 1

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

https://aru.ac.uk/student-life/preparing-for-university/help-with-finances/undergraduate
Artificial Intelligence [with Foundation Year] at Anglia Ruskin University - UCAS