Course Summary

Ready to meet the future head-on? From self-driving cars to chess-playing computers, artificial intelligence is shaping our world. Explore the science of machine learning with our Cambridge-based course and be at the forefront of technological innovation. Designed to fill a skills gap and meet a growing need for talented graduates, our AI degree is supported by the Intel AI Academy and offers a placement year, drawing on links with Cambridge high tech hub companies such as Cambridge Spark and Amazon. Artificial Intelligence, the computer emulation of human thinking, has been identified by the UK Government as the first of its four Grand Challenges to keep the UK at the forefront of technological innovation and industrial development. AI is an ever-evolving subject area that requires you to remain aware of constant changes and developments, as well as current issues that AI faces. Our brand new degree course has been designed with employers and industry in mind, ensuring you are learning the professional skills you will need once you graduate. You will be provided with the knowledge and skills to develop as a specialist in the areas of data analysis, machine learning, neural networks and artificial intelligence algorithm design. You'll also have access to Intel’s AI Academy, an online data processing resource. You will learn the history of Artificial Intelligence, systems needed to underpin AI and the advanced algorithms it employs, using up-to-date technology including software packages and hardware infrastructure. Through this course you will gain the knowledge needed to display good professional judgement and responsibility in addressing commercial, environmental and ethical factors found in the various areas where AI is used. If you enjoy mathematics and want to apply these fundamentals in a practical way – combining them with programming, computer systems and software design to create practical solutions to everyday technological issues – Artificial Intelligence is the subject for you. This course is accredited by the Institution of Engineering and Technology (IET) on behalf of the Engineering Council for the purposes of fully meeting the academic requirement for registration as an Incorporated Engineer and partly meeting the academic requirement for registration as a Chartered Engineer. Some employers recruit preferentially from accredited degrees, and an accredited degree is likely to be recognised by other countries that are signatories to international accords.

Course Details - Modules

Level 4 modules Introduction to Programming Computer Systems Computer Modelling and Simulation Fundamentals of AI Introduction to Mathematical Techniques for Artificial Intelligence Level 5 modules Advanced Analytical Techniques for AI Database Design and Implementation Software Engineering Digital Security Machine Learning Artificial Neural Networks Level 5 optional modules Object Oriented C++ Microprocessor Systems Design Work placement Level 6 modules Final Project AI Techniques (Fuzzy Logic and Genetic Algorithms) Professional Issues: Computing and Society Deep Learning Distributed-Systems Programming Level 6 optional modules Image Processing Digital Signal Processing Internet Services, Data Analytics and the Cloud Ethical Hacking and Countermeasures

Course Details – Assessment Method

Assessment Methods are not listed for this Course.

Course Details – Professional Bodies

Professional Bodies are not listed for this Course.

How to Apply

26 January 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: I401

Institution code: A60

Campus Name: Cambridge Campus

Campus code:

Points of Entry

The following entry points are available for this course:

Year 1

Entry Requirements for Advanced Entry (Year 2 and Beyond)

Entry Requirements for Advanced Entry are not listed for this Course.

International applicants

Standard Qualification Requirements

from a minimum of 2 A Levels (or equivalent) including A level Mathematics (or equivalent).


2020 entry requirements are under review for the next cycle and have been published using the current cycle information. Please check back when Apply opens for the exact 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

Minimum Qualification Requirements

Minimum Further Information are not listed for this Course.

English language requirements

Test Grade AdditionalDetails
English Language Entry Requirement Information are not listed for this Course.

Unistats information

Student satisfaction : 68%

Employment after 15 months (Most common jobs): 50%

Go onto work and study: 65%

Fees and funding

England 9250.0 Year 1
Northern Ireland 9250.0 Year 1
Scotland 9250.0 Year 1
Wales 9250.0 Year 1
Channel Islands 9250.0 Year 1
Republic of Ireland 9250.0 Year 1

Additional Fee Information

Please note the fee for the placement year is £1250 (This is a provisional fee and subject to change) https://aru.ac.uk/student-life/preparing-for-university/help-with-finances/undergraduate 2022 international fees are to be confirmed

Provider information

East Road
Address2 are not listed for this Course.
Address3 are not listed for this Course.
Cambridge
CB1 1PT

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