Computing (Artificial Intelligence and Robotics)

UCAS code: G403

Here's what University of Buckingham says about its Computing (Artificial Intelligence and Robotics) course.

Home of the two-year degree, the University of Buckingham, based in the South East of England, is ranked 6th for Student Satisfaction in the UK (National Student Survey, 2020). We are proudly independent and not-for-profit, and offer courses in Allied Health, Business, Computing, Education, Humanities, Law, Medicine, Psychology and Security and Intelligence. We are one of the few universities in the UK that offer September and January start dates for almost all of our courses. Based in Buckingham on a riverside campus, we are only 20 minutes’ from Milton Keynes central station and a short drive from Bicester, Aylesbury, Banbury and Northampton. There is free parking on-site and we are within easy reach of London and Oxford. Our award-winning small class tutorials ensure every student is known by name and supported throughout their studies, including by dedicated personal tutors. As pioneers of the two-year degree, we offer a condensed version of the traditional three-year degree, meaning you can gain a full honours degree and complete your studies a whole year earlier. Alternatively, you can complete both your undergraduate and master’s degree with us in just three years: saving you time and money.

Home of the two-year degree, the University of Buckingham, based in the South East of England, is ranked 6th for Student Satisfaction in the UK (National Student Survey, 2020).

We are proudly independent and not-for-profit, and offer courses in Allied Health, Business, Computing, Education, Humanities, Law, Medicine, Psychology and Security and Intelligence. We are one of the few universities in the UK that offer September and January start dates for almost all of our courses.

Based in Buckingham on a riverside campus, we are only 20 minutes’ from Milton Keynes central station and a short drive from Bicester, Aylesbury, Banbury and Northampton. There is free parking on-site and we are within easy reach of London and Oxford.

Our award-winning small class tutorials ensure every student is known by name and supported throughout their studies, including by dedicated personal tutors. As pioneers of the two-year degree, we offer a condensed version of the traditional three-year degree, meaning you can gain a full honours degree and complete your studies a whole year earlier. Alternatively, you can complete both your undergraduate and master’s degree with us in just three years: saving you time and money.

Artificial Intelligence (AI) and robotics are increasingly being deployed to solve complex problems and to automate business processes. Thus, knowledge and understanding of algorithms that drive AI and robotics systems, as well as practical skills to implement such systems, are much sought-after within many sectors of the economy. Students who are keen to develop their professional and technical skills in developing autonomous solutions for rewarding career opportunities in a range of industry sectors will find this course highly relevant and stimulating.

Students on this two-year undergraduate degree programme will be trained on fundamental theories and concepts, key techniques, approaches, methodologies and tools of software development, artificial intelligence and robotics. In particular, this pathway is designed to provide students with the practical skills required to implement AI, machine learning and robotics based autonomous digital and technology solutions for various sectors such as automobile, agriculture, education, healthcare, law enforcement, public services, transport, and utilities.

Teaching is carried out through a combination of lectures supported by seminars, practical workshops and tutorials. It is enhanced by virtual learning environments, online / stand-alone computer-based teaching, learning tools and software packages.

A key feature of the Buckingham teaching method is the use of small tutorial groups which provide the most effective means of ensuring that the students benefit from the academic expertise at their disposal. It is also the philosophy of the University’s faculty to be available to students outside the scheduled tutorial times and to encourage good working relationships between staff and students.

Computing programmes have supervised practical classes in computer labs in which you can apply and practise the techniques you have learnt in the lectures. These practical sessions are usually two or three hours long. You will also be expected to study on your own, using the library for reading and research, and computer laboratories to improve your practical skills.

Each student has a designated supervisor for the Individual Project. Weekly supervision meetings are offered throughout the Project.

The first year of this two-year programme introduces students to essential theories and concepts of computing, programming and software development that underpin modern computer science. These theories and concepts build the fundamentals necessary to undertake highly specialised modules covering AI, Machine Learning, Computer Vision and Robotics that follow in the second year. All modules include practical work to apply knowledge and understanding to solve problems.

The second year focusses on equipping students with specialised skills and sound knowledge that would enable them to pursue a rewarding career in the rapidly growing field of AI, robotics and autonomous systems. Students will learn concepts and techniques in AI, computer vision and robotics, alongside software project management and cloud computing, which are some of the most sought-after skills in the IT sector today.

All students undertake a substantial ‘Individual Project’ and a collaborative ‘Grand Challenge’ project where they get the opportunity to apply their knowledge and skills to develop an innovative solution to a real-life complex problem. There are several opportunities to work in teams enabling students to develop leadership and collaboration skills.

A range of assessment techniques are utilised throughout the degree programme to give students the opportunity to demonstrate achievement of the learning outcomes. Individual and group coursework, presentations, portfolios, quizzes, projects, and exams are the key assessments. The assessment of individual modules within each course varies according to the subject. Please check module information for more details.