Artificial Intelligence at Anglia Ruskin University - UCAS

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

Meet the future head-on and help to shape the world with the science of machine learning with our Artificial Intelligence BSc (Hons) degree in Cambridge. 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. 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. Our degree course, accredited by both BCS, The Chartered Institute for IT, and IET (The Institution of Engineering and Technology), will help you stand out to employers in a range of industries, both in the UK and overseas. Once you graduate, you’ll be able to register as an Incorporated Engineer and, with further study, you can become a Chartered Engineer. During your time at ARU, you’ll also get the opportunity for a placement year in industry which will see you linked with a high-tech hub company in Cambridge, the region and beyond. You’ll build up experience working and make industry contacts to benefit your studies and enhance your long-term career prospects. 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. You’ll learn all about the history 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. As part of your studies with us, you will be able to access online educational resources from the Intel AI Academy and AWS Educate programme. Our specialist facilities include a Cisco and AI lab, and we use tools such as Microsoft Imagine Premium and VMware IT Academy. We encourage collaboration, so you’ll also learn through activities with your peers, and lectures and seminars from industry experts. Are you ready to meet the future head on?


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

Assessment method

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.

How to apply

Application codes

Please select a course option – you will then see the application code you need to use to apply for the course.

Points of entry

The following entry points are available for this course:

  • Year 1

International applicants

We welcome applications from international and EU students, and accept a range of international qualifications.

Entry requirements

Qualification requirements

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.

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

Student Outcomes

Operated by the Office for Students
Employment after 15 months (Most common jobs)
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 £9250 Year 1
Northern Ireland £9250 Year 1
Scotland £9250 Year 1
Wales £9250 Year 1
Channel Islands £9250 Year 1
Republic of Ireland £9250 Year 1

Additional fee information
Artificial Intelligence at Anglia Ruskin University - UCAS