This course is subject to validation. You can still apply for this course while it is being approved.
University of Chester has participated in the Teaching Excellence Framework. These ratings were awarded in 2023, for four years.
Course summary
Our BSc Cybersecurity with Artificial Intelligence (AI) degree aims to develop your skills and abilities extensively in the subject. In an era where digital threats are more sophisticated and pervasive than ever, this course prepares you to get ahead by blending essential cybersecurity skills with the latest AI advancements. Core and optional modules throughout the degree not only provide you with excellent foundational knowledge, but also enable you to develop skills in problem-solving, research, analysis, and the ability to work autonomously and as part of a team. There is a high demand for the use of AI in improving the posture of cybersecurity domains and this course is designed to produce graduates that are capable of meeting this demand. The degree also aims to equip you with the knowledge and understanding to provide AI-based solutions and tools relevant to the industry, as well as for further academic studies. Foundation Year courses have been designed for students who do not have the necessary academic qualifications needed to enter directly into the first year of a degree but who have the ability and commitment to do so. Once the Foundation Year has been completed successfully, you can then go on to complete your degree.
Modules
In your first year (Level 4) you will be introduced to the fundamentals of professional skills for computing: key skills include professionalism, cybersecurity and introduction to computers. You will also learn how complex databases can be managed and how software systems are developed using programming in Python/C++. Year 2 (Level 5), will extend your theoretical knowledge and develop your ability to apply it to real-world problems, continuing the core themes started in Year 1, in addition to learning ethics and principles that are applied in Artificial Intelligence. In your final year (Level 6) you will be ready to choose which themes are most relevant to your future needs. The information listed in this section is an overview of the academic content of the course that will take the form of either core or option modules and should be used as a guide. We review the content of our courses regularly, making changes where necessary to improve your experience and graduate prospects. If during a review process, course content is significantly changed, we will contact you to notify you of these changes if you receive an offer from us.
Assessment method
This course is delivered in three terms of ten weeks each. In each term, students study 40 credits comprised of either one or two modules. Scheduled contact hours range between approximately 6 and 12 hours per week depending upon the level of study and the complexity of the material being taught. This course is delivered primarily through in-person learning supported by online learning materials. Students can expect to take part in labs, workshops, lectures and tutorials. Teaching will be delivered by experienced academics and practitioners in the subject. This will be supplemented by occasional guest lecturers and speakers. On this course, you should expect to spend an average of 30 – 34 hours per week on independent study which might include following asynchronous learning material on the University’s VLE, using the University’s library, working with peers, and preparing work for assessment. There will be a broad range of assessment methods so that students are exposed to the different types of tasks they might encounter in the workplace. These will include coursework in the form of programming projects, software artefacts, portfolios of work, written work (e.g. essays) and presentations. In some modules, students will encounter class tests and practical assessments. We continuously review the assessment methods used in order that they adequately prepare students for graduate-level employment.
How to apply
29Jan
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:
- G461
- Institution code:
- C55
- Campus name:
- Chester
- Campus code:
- -
Points of entry
The following entry points are available for this course:
- Foundation
Entry requirements
Qualification requirements
UCAS Tariff - 72 points
A level
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016) - MPP - MMP
Access to HE Diploma
Scottish Higher - CCDD
Leaving Certificate - Higher Level (Ireland) (first awarded in 2017) - H4, H4, H4, H4, H4
T Level - P
The University of Chester considers a wide range of Level 3 qualifications and a wide range of professional / vocational qualifications. GCSE Grade C or 4 in Maths is also required.
Student Outcomes
Operated by the Office for Students
There is no data available for this course. For further information visit the Discover Uni website.
Fees and funding
Tuition fees
| England | £9535 | Year 1 |
| Northern Ireland | £9535 | Year 1 |
| Scotland | £9535 | Year 1 |
| Wales | £9535 | Year 1 |
| Channel Islands | £9535 | Year 1 |
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
The University may increase these fees at the start of each subsequent year of your course in line with inflation at that time, as measured by the Retail Price Index. These fee levels and increases are subject to any necessary government, and other regulatory, approvals.
University of Chester is currently reviewing the Foundation Year fees due to the new Government legislation on university tuition fees.
Provider information
University of Chester
Parkgate Road
Chester
CH1 4BJ