Artificial Intelligence (AI), where machines simulate human intelligence, is a growing industry. The government, and employers across sectors, recognises just how important it is to our future.
But what is Artificial Intelligence actually capable of? How do we design and build effective systems? Who decides what robots should and shouldn’t be able to do? Join us at Bucks to answer tough questions and develop the technical and professional know-how you need to start a career in this fascinating field.
- Explore areas that underpin AI including machine learning, artificial neural networks, and data analysis
- Prepare for careers in computing and AI across different sectors
- Develop your practical skills using industry tools, including MATLAB and Jason
- Learn from our teaching team who specialise in different areas, from language learning to robotics
- Examine AI from an ethical perspective and debate the challenges posed by AI innovations so as to identify the benefits and positive opportunities of AI developments.
More placements, more choices
Bucks is a Placements Plus university. So, whatever degree you do, you can be sure there’ll be plenty of industry-relevant opportunities on offer, to help you get into your chosen field.
We’ll also prepare you for work beforehand, with special skills for work training, further boosting your CV, and building skills employers will value. In recognition of the value we place on these skills we have incorporated this experience into your study time.
Placements Plus is all about helping you get some valuable experience under your belt while you’re a student. To increase your choices later, and help you get the graduate-level job you want.
UCAS CODE: ARIN
AI is transforming industry – and the world we live in. Experts are applying their skills to improve care in hospitals, control robots in space, help companies understand buying habits, and more. By 2035, it’s predicted that AI activity could be worth an impressive £630 billion in the UK. 
At Bucks, we’ve created this course to help you design and programme systems capable of solving real-world challenges. It doesn’t matter if you haven’t studied computing before – we’re looking for students who want to be at the forefront of the developments in technology that will shape society in the very near future.
From language processing to robotics, our teaching team are experts in a range of AI and computing areas. At the beginning of the course, they’ll cover the fundamental areas of computing, including systems, programming, analysis and design. Then you’ll start to specialise in AI, exploring the basics, its history and philosophy, and what it can and can’t do.
In our lecture theatre and labs, you’ll gradually learn, practice and develop skills in machine learning and artificial neural networks, data analysis, fuzzy and expert systems. But AI is also underpinned by mathematics, logic, philosophy, cognitive psychology, linguistics and sociology, so you’ll explore these areas too.
Building your own AI machines
As you move into your second year, you’ll start looking at AI in more depth and understand how machines search, reason and problem solve. At the same time, we’ll also explain the role of classical logic in machine intelligence, algorithms to search state spaces, and natural language processing systems.
Then we’ll put your knowledge to the test. In workshops, you’ll work as part of a team to build AI machines – whether these are in the form of Expert Systems, Intelligent Agents or robots. You’ll also become confident using a range of AI-related tools and techniques including MATLAB and Jason with AgentSpeak.
As well as building your technical skills, we’ll help you identify your strengths and weaknesses, and you’ll spend time honing skills employers value, such as critical thinking. We’ll challenge you to think about your career options at this point in the course and encourage you to find industry experience.
Real world challenges
In your final year, you’ll explore rule-based and data-driven approaches to AI, and we’ll give you the chance to pick from a range of optional modules to customise your degree to your preferred career choices.
You’ll apply everything you’ve learnt to a final project – what it’s about is entirely up to you. We’ll ask you to carry out background research, write a report and build your own piece of software. This could be anything from creating a game with in-built intelligence, to developing scheduling software to help someone with diabetes manage their insulin.
What are the course entry requirements?
A typical offer will require a UCAS Tariff score between 80 - 104 points.
This module map provides a list of the modules that make up your course. You can find more information about how your course is structured on our Academic Advice section.
The modules available on this course are as follows:
Year 1 Modules
- Computer Architectures
- Programming Concepts
- Digital Technologies & Professional Practice
- Application Programming
- Web Development
- Essentials of Intelligent Systems
- Computational Fundamentals for Intelligent Systems
Year 2 Modules
- Algorithms and Data Structures
- Introduction to Formal Reasoning
- Intro to Intelligent Systems (Team Project)
- Database Design
- Object Oriented Programming
- Object Oriented Analysis and Design
- Machines and their Languages
- Planning, Search and Artificial Intelligence Programming
Year 3 Modules
- Autonomous Robotic Systems
- Knowledge-Based Systems in A.I
- Legal Aspects of IT
- Learning Machines and Intelligent Agents
- Data Science (optional)
- Data Base Technologies (optional)
- Cloud Computing (optional)
- Database Development (optional)
- Quality Assurance and Testing (optional)
- Advanced Mobile Development (optional)
- Enterprise Systems Development (optional)
How much does it cost
Full Time Home and EU, Academic Year 2021-2022: £9,250 per year
Full Time International, Academic Year 2021-2022: £13,750 per year
Most courses will involve some additional costs that are not covered by your fees.
You could benefit from financial support through a bursary or scholarship during your time as a student. For more details visit our financial support, bursaries and scholarships section.
How do I apply?
For application details please visit bucks.ac.uk/applying-to-bucks