BSc (HONS) Artificial Intelligence

at Anglia Ruskin University - Cambridge

TEACHING AND ASSESSMENT

3 years full-time
Year 1

Modules are subject to change and availability.

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.

Core modules

• Introduction to Programming
• Computer Systems
• Computer Modelling and Simulation
• Fundamentals of Artificial Intelligence
• Introduction to Mathematical Techniques for Artificial Intelligence
   

Year 2
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.

Modules are subject to change and availability.

Core modules

• Database Design and Implementation
• Software Engineering
• Ruskin Module
• Advanced Analytical Techniques for Artificial Intelligence
• Machine Learning
• Artificial Neural Networks
• Optional modules
• Algorithm Analysis and Data Structures
• Digital Security

Year 3

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.

Core modules

• Final Project
• AI Techniques (Fuzzy Logic and Genetic Algorithms)
• Professional Issues: Computing and Society
• Deep Learning
• Distributed Programming
• Optional modules
• Image Processing
• Digital Signal Processing
• Embedded Computing
• Cloud Computing
  
  Modules are subject to change and availability.

Main

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.

Alternatives

UCAS Tariff points acquired from BTEC Level 3 Diplomas are accepted, related subjects are preferred, a minimum of 60 guided learning hours must come from a Science unit.

International Baccalaureate Diploma with a minimum of 24 points is accepted, Maths or Science is preferred.

UCAS Tariff Points from Access to HE Diplomas in a related subject are accepted.
UCAS Tariff points from Scottish Advanced Highers are accepted, related subjects are preferred.
UCAS Tariff points from Scottish Highers are accepted, related subjects are preferred.
UCAS Tariff points from the Irish Leaving Certificate are accepted, related subjects are preferred.

The European Baccalaureate at a minimum overall grade of 60% is accepted, this must include a related subject.

HNC qualifications are accepted.
HND qualifications are accepted.

Important additional notes

Our published entry requirements are a guide only and our decision will be based on your overall suitability for the course as well as whether you meet the minimum entry requirements.

Tuition fees for international students (2022/23)
£14,300

International students starting 2022/23 (full-time, per year)
You can pay your tuition fees upfront, in full or in two instalments. We will also ask you for a deposit of £4,000 or a sponsorship letter. Details will be in your offer letter.

Careers

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.

As part of your studies, the option of a placement year could see you working in industry, making contacts and building up your experience and knowledge in the kind of environment you might ultimately work in.

Graduation doesn’t need to be the end of your time with us, of course. You might decide to stay at ARU and study for a Masters, such as continuing further with AI with our MSc Artificial Intelligence and Big Data or MSc Artificial Intelligence with Cybersecurity. Take advantage of our Alumni Scholarship and get 20% off your fees.