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.
Course Details - Modules
Level 3 (foundation year)
Foundation in Engineering, Computing and Technology
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
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:
I402
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
5 GCSE passes at grade 3 or D or above and evidence of two years post-GCSE study at Level 3.
If you have achieved at least grade E in one A level, or equivalent, you are exempt from the two year post-GCSE study requirement, but you still have to meet the GCSE requirements.
If English is not your first language you will be expected to demonstrate a certificate level of proficiency of at least IELTS 5.5 overall including 5.5 in each band/component
Please click the following link to find out more about qualification requirements for this course
