Anglia Ruskin University has opted into the TEF and received a Silver award.
Explore the subject of Artificial Intelligence and learn to employ AI methodologies in order to define problems, design solutions and develop AI-based software tools for enhanced technologies and decision making across a large number of areas. 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.
Year 1 Introduction to Programming Computer Systems Computer Modelling and Simulation Fundamentals of AI Introduction to Mathematical Techniques for Artificial Intelligence Year 2 Advanced analytical techniques for AI Database Design and Implementation Software Engineering Digital Security Machine Learning Artificial Neural Networks Year 2 – Optional Modules Object Oriented C++ Microprocessor Systems Design Year 3 Final Project AI Techniques (Fuzzy Logic and Genetic Algorithms) Professional Issues Deep Learning Computing and Society Distributed Programming Year 3 – Optional Modules Image Processing Digital Signal Processing Internet Services, Data Analytics and the Cloud Ethical hacking and countermeasures
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How to apply
If your application is completed by the following date, it’s guaranteed to be considered:
15 January*If you apply after this deadline, universities or colleges don’t have to consider your application if they’ve filled their spaces, so the sooner you apply, the better!
You will need these codes when you add a choice to your application.
|Campus name||Cambridge Campus|
Points of entry
The following entry points are available for this course:
- Year 1
We welcome applications from international and EU students, and accept a range of international qualifications.
|UCAS Tariff||112 points||from a minimum of 2 A Levels (or equivalent) including A level Mathematics (or equivalent).|
|GCSE/National 4/National 5||3 GCSEs at grade C, or grade 4, or above, including English and Maths.|
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.
Fees and funding
|Northern Ireland||£9250*||Year 1|
|Channel Islands||£9250*||Year 1|
*This is a provisional fee and subject to change.