Artificial Intelligence (AI) touches our lives every day. From the viewing recommendations on Netflix to the content in our social media feeds; it’s all controlled by AI. We have technologies that can recognise and classify images, chatbots that can converse in multiple languages, and systems that can diagnose diseases faster and, in some cases, more accurately than human doctors.
Employers across the technology, healthcare, finance, transport, and security industries are desperate for skilled AI graduates, to help them gain a competitive edge through the use of this fast-emerging technology.
Our pioneering BSc Applied Artificial Intelligence programme recognises the need for skilled AI professionals; the course is built around current and predicted industry requirements. It explores the complexities and potential for AI technologies and teaches the knowledge and skills needed to create innovative solutions.
In the first year, students will work in teams to develop a number of different AI solutions. They will build a biometric recognition system (e.g: face or fingerprint recognition), a user profiling system (making recommendations to users or identifying potential fraud based on user data) and a system to analyse real-time data (e.g: real-time traffic information).
The second year will allow students to work in a specialised area, which could include the design of healthcare diagnostic systems, the analysis of company credit card ratings, or the development of a virtual healthcare assistant.
In the final year, students will work with an industry client and gain experience of developing cutting-edge AI solutions to solve real-life problems.
The course will appeal to students with an interest in one or more of the following: computing, technology, engineering, mathematics, science, and design.
Typical offer – 112 UCAS tariff points to include GCSE English at grade C/grade 4 or above.
We take into consideration a number of factors when assessing your application. It’s not just about your grades; we take the time to understand your personal circumstances and make decisions based on your potential to thrive at university and beyond.
BBC – 112 UCAS tariff points to include one of the following subjects: Mathematics, Computing, Chemistry, Electronics, Design and Technology (Systems and Control) or Physics.
BTEC Extended Diploma
Acceptable subjects: Computing, Engineering or Information Technology.
Applicants on Access Programmes
We accept relevant Access (Science or Science and Engineering) to meet the 112 UCAS tariff points.
International Baccalaureate requirements
112 UCAS tariff points to include one Higher Level subject from the following: Computer Science, Chemistry, Design Technology, Mathematics or Physics. To also include Higher Level grade 3 or Standard Level grade 4 in English and Maths.
Plus minimum of
GCSE English at grade C or 4 (equivalents accepted).
English language requirements
The standard University requirement is IELTS 6.0 with no sub-test less than 5.0 (or equivalent).
If you do not meet the IELTS requirement, you can take a University of Bradford pre-sessional English course.
The programme is designed to develop future engineers and data scientists who want to work with business units, marketers, product managers, business strategists, educators and everyone else interested in using artificial intelligence and machine learning to improve business processes.
Our comprehensive support services will help you to achieve your full potential – both academically and personally.
We provide all you need to make the very best of your time with us, and successfully progress through your studies and on into the world of graduate employment.
Our support services include:
We have well-stocked libraries and excellent IT facilities across campus. These facilities are open 24 hours a day during term time, meaning you’ll always find a place to get things done on campus.
Our Academic Skills Advice Service will work with you to develop your academic, interpersonal and transferable skills.
The core curriculum is informed by the work of our Centre for Visual Computing and Artificial Intelligence Research Group.