BSc (Hons) Computing (Artificial Intelligence and Quantum Computing)
Get to grips with the innovations that will shape the next decade as this Computing degree looks to the future with AI and Quantum Computing.
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Course overview
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Quantum Computing is the future of Computing as a discipline, with an exciting mix of mathematics, computer science and technology at its core. This course is an excellent opportunity to enhance your specialist knowledge and discover what leading IT companies around the world are developing today, helping you understand the innovations that will shape the next decade.
Advanced knowledge of fundamentals and innovations in digital and technology solutions, and their application to solve real-life problems, are at the heart of Buckingham’s computing degrees.
Accredited by the British Computer Society, our undergraduate programmes blend theory with practice to ensure our students gain confidence, skills, and the expertise required to become an IT professional in this increasingly interdisciplinary field. Our student-centred small group teaching and learning utilises state-of-art technologies and equipment, informed by cutting-edge research, to get your prepared for a rewarding career in industries of the future.
Throughout this two-year degree, you 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 and autonomous digital technology solutions, alongside an awareness of Quantum Computing and its relevance to AI applications.
By embedding AI literacy and hands-on proficiency throughout, along with an awareness of Quantum Computing, the programme prepares graduates to leverage artificial intelligence responsibly and effectively, giving them a distinct advantage in the graduate employment landscape.
Course Highlights
- Solve complex problems that improve and automate business processes.
- Develop cutting-edge skills that are the most in-demand across the IT sector.
- Combine Quantum Computing and Artificial Intelligence to develop innovative solutions.
Course breakdown
Complete your studies in just two-years with our accelerated degree model, getting you out into the industry quicker than your peers.
Year 1
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 that follow in the second year.
Year 2
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 fields of AI and Quantum Computing. Students will learn concepts and techniques in AI, machine learning and Quantum Computing, alongside software project management and cloud computing, cybersecurity which are some of the most sought-after skills in the IT sector today.
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Teaching and assessment
We keep class sizes small so you won’t get lost in the crowd. You will be assigned a personal tutor to support you every step of the way, and our academic and student support teams will ensure you have the tools to success in your studies. We value the quality of your learning experience.
Teaching methods
This is a very practical and hands-on programme wherein you will be spending most of your time in interactive lectures, tutorials, workshops, and practical sessions. We use a variety of software, tools, and programming techniques to teach both fundamental and advanced concepts.
We believe in learning by doing, and your lecturers will work with you, ensuring that every student engages and performs to the best of their capabilities. We use virtual learning environments, online or stand-alone software tools to enhance the effects of teaching and learning For example, The Individual Project, as well as hackathons hosted by The School of Computing, are used to create valuable opportunities for self-directed learning.
All students undertake a substantial ‘Individual Project’ where you get the opportunity to apply your knowledge and skills to develop an innovative solution to a real-life complex problem. There are several opportunities to work in teams, thus developing leadership and collaboration skills.
Hackathons are also an integral part of the programme wherein industry mentors support students in developing solutions to relevant problems. The students are mentored to develop a minimum viable product and then present it before a team of assessors who evaluate the feasibility of the solution. This is an excellent opportunity for students to get a peek into industrial practices within the IT sector and prepares them well for their future careers in IT.
Assessment Methods
As we offer such practical methods of learning, it is important that our students are offered a broad range of assessment methods. This allows you to evidence your knowledge and skills in the best way possible. Therefore, you will be assessed via:
- An individual project: this must be relevant to this pathway, and forms the core of the assessment within the programme.
- Group projects: In addition to the group project report and group presentation, Viva/Demo are used to assess their ability to work in teams/groups as well as present their work before an audience.
- Case studies, reflective statement, and portfolio: Showcases your ability to perform critical thinking
- Multiple Choice Quiz: In-class tests are used to monitor student learning in real-time, providing actionable feedback to help teachers adapt their instruction, and for students to improve their progress.
- Written examinations and practical tests: Used to assess higher-order critical thinking, complex problem solving and continuous professional development.
After your course
This unique degree is designed to provide students with the practical skills required to implement AI and autonomous digital technology solutions within the industry. Plus, our graduates with have a specialist understanding of Quantum Computing and its relevance to AI applications.
Graduates will be able to effectively develop digital solutions within various sectors, such as automobile, agriculture, education, healthcare, law enforcement, public services, transport, and utilities. By embedding AI literacy and hands-on proficiency throughout, along with an awareness of Quantum Computing, the programme prepares graduates to leverage artificial intelligence responsibly and effectively, giving them a distinct advantage in the graduate employment landscape.
Here are just some of the career opportunities and skills that can stem from studying on this course:
Career opportunities
- Artificial intelligence/machine learning engineer
- Quantum Software Developer
- Data Scientist
- Quantum AI Research Engineer
- Postgraduate studies/research.
Career skills
- Higher-order critical thinking
- Complex problem solving, decision making and self-reflection
- Self-directed learning, taking initiatives and continuous professional development
- Teamwork, collaboration skills, taking ownership of work and being an effective leader in a team.
- Communication skills with a range of stakeholders, with the ability to optimise different tools and presentation methods.
- Time and project managements skills including planning, risk management, resource management.
Careers and Employability Support
Our courses strive to effectively combine academic challenge with the transferable skills that will stand you in good stead for future employment. The Buckingham tutorial teaching model means that our students are well prepared as they embark on their careers and future study.
Find out more about our Careers and Employability Service.
Postgraduate study
Our two-year degrees mean you can begin your postgraduate studies quicker than your peers.
“Buckingham helped make the impossible, possible. The strong support offering and small class tutorials make the degree less daunting.”
Reni, Undergraduate student
Entry requirements
See our general University entry requirements for information on flexible entry, mature students and alternative qualifications.
UK Offers
The standard entry requirements for this course are A-Level: ABB – BBB (including a B in Computing and/or Mathematics); IB 32 or equivalent.
Applicants must also have: GCSE B/5 in Maths
International Applicants
The requirements are: English C/4; IELTS 6.5
We have a number of standard entry requirements for our international applicants:
If you are uncertain on whether you will be eligible to apply for this course, please contact our Admissions team.
Course fees
The fees for this course are:
| Start | Type | 1st Year | Total cost |
|---|---|---|---|
Month Year Full-time (2 Years) | UK | £00,000 | £00,000 |
| INT | £00,000 | £00,000 | |
Month Year Full-time (2 Years) | UK | £00,000 | £00,000 |
| INT | £00,000 | £00,000 |
The University reserves the right to increase course fees annually in line with inflation linked to the Retail Price Index (RPI). If the University intends to increase your course fees it will notify you via email of this as soon as reasonably practicable.
Course fees do not include additional costs such as books, equipment, writing up fees and other ancillary charges. Where applicable, these additional costs will be made clear.
Scholarships and bursaries
How to apply
We welcome applications in two different ways – directly via our online application form, or through UCAS.
Apply direct
Apply online from this page as:
- The most flexible option.
- You can apply until shortly before the course starts.
- There are no application fees.
- Apply as an additional option to your UCAS choices.
You can apply directly through our website by clicking the ‘Apply Now’ button.
Apply via UCAS
Alternatively, if you do not wish to apply directly with us, you can apply via UCAS where you can easily make Buckingham one of your UCAS choices.
Do bear in mind that the application and decision deadline are set by UCAS and there is an application fee to UCAS.