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 BNU to answer tough questions and develop the technical and professional know-how you need to start a career in this fascinating field.
**Why study this subject?**
Artificial Intelligence (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.
**Why study at Buckinghamshire New University?**
We’ve created our BSc (Hons) Artificial Intelligence (AI) degree 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.
On this course, you can:
- explore areas that underpin AI including machine learning, artificial neural networks, and data analysis
- develop your practical skills using industry tools, including MATLAB and Jason
- learn from our teaching team who are experts in a range of AI and computing areas and 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.
At the beginning of the course, you’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.
**What will I study?**
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.
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.
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.
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.
**How will I be taught and assessed?**
You’ll be taught by a team of expert academics and specialist professionals. Together, they use their collective experience of academia, industry and commerce to give you the theoretical knowledge and practical skills you’ll need for your career.
Course assignments reflect real-life problems because we believe that’s the best way to learn – and it’s more fun!
Course Details - Modules
Modules are not listed for this Course.
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:
ARIN
Institution code:
B94
Campus Name:
Buckinghamshire New University
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
A typical offer will be a UCAS Tariff score of 88 - 112.
A minimum of two full A-levels (or equivalent) is required.
Every application is considered on an individual basis.
Applicants who do not meet the minimum requirements for the three-year undergraduate programme, or those who do not feel fully prepared for a degree course, can apply for a four-year programme including a Foundation Year.
Please click the following link to find out more about qualification requirements for this course
