Overview
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.
Careers
We work with employers to make sure you graduate with the knowledge, skills and abilities they need. They help us review what we teach and how we teach it – and they offer hands-on, practical opportunities to learn through work-based projects, internships or placements.
This course is designed for those who want to build the necessary skills to work in development and applications of artificial intelligence while acquiring solid grounds in those areas of computer science – programming, computer systems, databases, digital security – that are relevant for this field.
On completion of your degree you could further your studies through our MSc Computer Science, MSc Artificial Intelligence and Big Data, MSc Artificial Intelligence with Cybersecurity and MSc Intelligent Systems and Machine Learning courses.
Modules & Assessment
Level 4 modules
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Introduction to Programming
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Computer Systems
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Computer Modelling and Simulation
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Fundamentals of AI
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Introduction to Mathematical Techniques for Artificial Intelligence
Level 5 modules
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Advanced Analytical Techniques for AI
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Database Design and Implementation
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Software Engineering
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Digital Security
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Machine Learning
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Artificial Neural Networks
Level 5 optional modules
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Object Oriented C++
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Microprocessor Systems Design
Level 6 modules
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Final Project
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AI Techniques (Fuzzy Logic and Genetic Algorithms)
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Professional Issues: Computing and Society
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Deep Learning
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Distributed-Systems Programming
Level 6 optional modules
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Image Processing
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Digital Signal Processing
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Internet Services, Data Analytics and the Cloud
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Ethical Hacking and Countermeasures
Where you’ll study
Your faculty
The Faculty of Science & Engineering is one of the largest of the four faculties at Anglia Ruskin University. Whether you choose to study with us full-time or part-time, on campus or at a distance, there’s an option whatever your level – from a foundation degree, BSc, MSc, PhD or professional doctorate.
Whichever course you pick, you’ll gain the theory and practical skills needed to progress with confidence. Join us and you could find yourself learning in the very latest laboratories or on field trips or work placements with well-known and respected companies. You may even have the opportunity to study abroad.
Everything we do in the faculty has a singular purpose: to provide a world-class environment to create, share and advance knowledge in science, technology and engineering fields. This is key to all of our futures.
