BSc (Hons) Computer Science & Artificial Intelligence Bachelor's degree at Edge Hill University
BSc (Hons) Computer Science & Artificial Intelligence at Edge Hill University is recognised as a nationally recognised UK degree-awarding body qualification.
About this course
Merge computer science and artificial intelligence at Edge Hill University. Harness the power of technology to drive innovation and shape the future. From the provider’s course page.
BSc (Hons) Computer Science & Artificial Intelligence is a Bachelor's degree (BSc (Hons)) at Edge Hill University, based in Ormskirk. It is studied part-time; duration varies by route.
For the typical curriculum, specialisations, career paths and graduate earnings for Computer Science, see the sections below.
Curriculum & modules
Real modules published for this course, grouped only where the source gives a year, stage or level.
Year 1 6 modules
- Computer Systems Architecture and NetworksCompulsory20 credits
Module details
Examines how the world is underpinned by information technology. Integrating theory and practice, the module will develop your understanding of the essential concepts in computer systems' architecture and networks. You will discover how current and modern computer architectures operate, analyse the technology on which they depend, and explore the basic principles of networks, including the interconnecting components and protocols used in enabling reliable communications. You will develop skills
Assessment: 100% Coursework
- Differential CalculusCompulsory20 credits
Module details
Provides a foundation in calculus, introducing the fundamental mathematical concepts which underpin mathematics at degree level. Calculus is one of the foremost branches of mathematics and its mathematical discipline has a unique legacy over the history of mathematics. This module enables you to use a mixture of numerical and analytical techniques to help achieve a deeper understanding of key concepts. It also embraces topics such as functions, limits, the fundamental theorem of calculus, differ
Assessment: 100% Coursework
- Foundations of Computer ScienceCompulsory20 credits
Module details
Introduces you to the theoretical and practical concepts of computer science. The module recognises that technology is in everyday life, from homes to the workplace, cars or portable or wearable devices. The true usefulness of this technology is in almost all cases enabled through software, and the amount of software that we interact with will continue to increase. You will explore the theoretical foundations of computer science to gain a deeper understanding of the problems and solutions outlin
Assessment: 100% Coursework
- Professional Practice 1Compulsory20 credits
Module details
Introduces you to the computing profession and the professional practices of the industry. You will be introduced to the relevant regulatory requirements and accreditations governing the computing profession. You will also discover the role of professional bodies such as The Chartered Institute for IT (BCS), TIGA the network for games developers and digital publishers, and The National Cyber Security Centre (NCSC). Another key strand of the module is the development of key transferable skills. T
Assessment: 80% Coursework 20% Practical
- Programming 1Compulsory20 credits
Module details
Provides a practical introduction to the fundamentals of computer programming. You will be introduced to computational thinking - a problem solving approach that underpins programming, the basics of algorithmic design and the analytical techniques and processes essential for specifying, designing and implementing simple software systems. The module will teach you how to tackle large problems by breaking them down into a sequence of smaller, more manageable issues. This is a foundation module for
Assessment: 100% Coursework
- Programming 2Compulsory20 credits
Module details
Provides a practical exploration of an object-oriented approach to software development. Programming is a key skill for analysts, software testers and software developers. You will be introduced to the analytical techniques and processes essential for specifying, designing and implementing basic object-orientated software systems. Through the lens of object-orientation, you will explore complex data structures and gain a better understanding of objects, object scope, object instantiation and the
Assessment: 100% Coursework
Year 2 6 modules
- Applied Machine LearningCompulsory20 credits
Module details
Reveals how machine learning is being applied to various problem domains such as computer vision, robotics, machine translation, text processing, medical diagnostics, and web mining. The impact of machine learning is clearly visible in our daily lives. We are surrounded by smart appliances such as cameras capable of recognising faces, chat-bots answering our questions on websites, and personalised news and advertisements when we browse content online. Autonomous transportation and robot-based go
Assessment: 100% Coursework
- Database SystemsCompulsory20 credits
Module details
Introduces you to the fundamental concepts in database design. Designing and implementing databases is a key skill in the computing industry where businesses of all sizes depend upon database management systems to gain a competitive advantage. Databases also play a central role in many information systems and are an integral part of e-commerce. This module will develop your practical skills in database modelling, development and design. You will discover the techniques for appropriate and effici
Assessment: 60% Coursework 40% Exam
- Foundations of Robotics & Artificial IntelligenceCompulsory20 credits
Module details
Recognises that the fields of artificial intelligence (AI) and robotics are expanding rapidly with exciting innovations being built to automate our world. The foundations of robotics and AI have roots in the work of Alan Turing investigating the boundary between human intelligence and computers. This module examines how AI techniques and principles from biological systems can be applied to robots to control behaviour and sense environments. You will develop an understanding of the theoretical pr
Assessment: 100% Coursework
- Introduction to Artificial Intelligence and Machine LearningCompulsory20 credits
Module details
Outlines various techniques for creating artificial intelligence. Recent advances in computing has led to the proliferation of affordable ICT devices capable of collecting and processing massive amount of information in the form of digital data. This large amount of data can no longer be analysed using traditional model-based techniques. This has prompted researchers to develop data-based techniques that can learn patterns and relationships directly from the data itself. These methods are known
Assessment: 100% Coursework
- Knowledge Representation and ReasoningCompulsory20 credits
Module details
Will train you in methods that can be used to extract pertinent and useful information from large-scale date sources. Over the past decade, there has been an exponential increase in the availability of online data resources. Technical methods of efficiently managing and interpreting large-scale data resources now play a pivotal role in driving business automation and informing critical business and design decisions. To deal with the rapid proliferation of available data, in both structured and u
Assessment: 100% Coursework
- Professional Practice IICompulsory20 credits
Module details
Introduces you to the importance of teamwork and reflective practice. You will work as part of a team to complete a project by a deadline. This will enable you to focus on the design, production and commercial requirements of the project, as well as the associated risk management, budgetary constraints, and any ethical issues. You will reflect on your learning through the production of an e-portfolio.
Assessment: 100% Coursework
Source: provider course page. Modules can change; required/optional status, credits, descriptions and assessment are shown only when explicitly published.
Course in depth
What this course covers, who it suits and where it leads.
What you'll study
You'll combine core computer science with applied artificial intelligence. A course like this typically moves from programming fundamentals and computer systems in Year 1, covering imperative and object-oriented code (often Python and Java), hardware and networks, and the discrete mathematics underpinning algorithms. Year 2 develops this into algorithms, data structures, databases and software engineering practice, alongside artificial intelligence and machine learning. Year 3 introduces specialist options such as artificial intelligence, cybersecurity, data science, software engineering, systems and networks, or human-computer interaction, plus security and cryptography. You'll conclude with an individual supervised project applying these skills to a substantial real-world build.
Who it's for
This part-time degree suits working professionals and those balancing study with other commitments who want to develop expertise in computer science and artificial intelligence. You'll gain practical knowledge across a range of specialisations, from software engineering to machine learning, preparing you for roles in technology-driven sectors.
Careers & job market
Across Computer Science courses nationally, 85% of graduates are in work or further study 15 months after completing their degree, with 75% of working graduates in highly skilled work or further study. National earnings data shows starting salaries (at 15 months) typically range from £25,000 to £35,000, rising to £29,750–£42,000 after five years. These figures come from national Graduate Outcomes and Longitudinal Education Outcomes data and reflect the broader sector, not a guaranteed salary. First-year retention stands at 85% across the university's Computer Science provision.
University & format
This BSc (Hons) is studied part-time at Edge Hill University, a public university in Ormskirk. Teaching is in English. The course is recognised as a UK degree-awarding body, meaning your degree will be nationally recognised. Edge Hill holds Silver for teaching quality in the Office for Students' TEF 2023.
Applicant information
The next application dates for this course, followed by facts the provider publishes.
Provider-published requirement; check the linked course page before applying.
Part-time application dates vary by provider. UCAS dates
Names detected beside accreditation or recognition copy on the provider course page; verify the route and intake.
Paid placement year. Availability, selection and pay can vary.
See and book current events. Dates can fill or change.
Opened 2 July 2026; last choice 19 October 2026. Check vacancies now. A cached page never claims a place is still available.
Entry & how to get in
Entry & your chances
An honest read from the official entry data, plus your personal match.
Entry is set by the university and based on your offer. Use your predicted grades to see how you compare, then check the university's stated requirements.
How to apply
Undergraduate applications go through UCAS. Here’s what matters for this course, the right deadline, the grades to aim for, and the steps in order.
- 1Register on UCAS Hub
Create your UCAS application and add this course (code I1I4). One application covers up to five choices.
- 2Write your personal statement
A single statement covers all your choices, so keep it broad enough for similar courses while showing genuine interest in this subject.
- 3Submit by Apply directly to the provider
Part-time application dates vary by provider. Source: UCAS 2027 dates.
- 4Reply to your offers
When decisions are in, pick a firm (first) choice and an insurance (back-up) choice with slightly lower grades.
- 5Results day & confirmation
On results day (mid-August) your place is confirmed if you meet the offer. Just missed? Talk to the university, or find a place through Clearing.
Fees & funding
What this course costs and how UK student finance covers it.
Tuition per year
Provider fee page (England 2026/27 cap where not stated).
Check fees at Edge Hill University →For students who normally live in England
2026/27 Student Finance England figures. Maintenance support is means-tested and this two-point view is not an entitlement calculator. The course total uses its published length and home fee where both are available; a missing full-time fee uses the clearly labelled England-cap scenario, while part-time fees and unknown lengths are never guessed. Use the official calculator. Scotland, Wales and Northern Ireland use separate systems: SAAS, Student Finance Wales, and Student Finance NI.
Starting on or after 1 January 2027?
The Lifelong Learning Entitlement is a separate system. A new learner’s tuition entitlement is currently stated as £39,160 (about 480 credits at 2026/27 fee levels), subject to prior study and eligibility. Check the official LLE guide.
Paying for it
- Tuition Fee Loan: can cover eligible tuition up to the applicable limit and is paid straight to the provider.
- Maintenance Loan: up to £10,830/yr away from home outside London (England, 2026/27), means-tested on household income.
- Repayment: 9% of income above £25,000, nothing below it; written off after 40 years.
- Earn alongside: most students work part-time in term, part-time roles on the StudySmarter job board.
England figures shown; Scotland, Wales & NI run their own schemes, check gov.uk.
Scholarships & bursaries you could qualify for
That does not mean no funding exists. Check the university directory for current amounts, eligibility and application dates.
We only display a named award when its provider source identifies the award and who it is for.
Still deciding what to study?
StudyKit brings course choice, applications and funding together in one place, with a personal AI assistant. Find what really fits you and start your UCAS application step by step.
Careers & earnings
What Computer Science graduates actually earn, from real outcome data, 15 months, 3 years and 5 years after graduating.
- 1Graduate / Junior DeveloperFirst engineering role · 0–2 yrs
- 2Software EngineerShipping features end-to-end · 2–5 yrs
- 3Senior / Lead EngineerOwning systems and mentoring · 5–9 yrs
- 4Principal / Engineering ManagerArchitecture or leading teams · 9+ yrs
How pay grows: this course vs Computer Science nationally
National figures for Computer Science graduates, HESA Graduate Outcomes (15 months) and the Longitudinal Education Outcomes (LEO) dataset (3 & 5 years). These are national, not university-specific; actual pay varies by employer, region, role and experience. Different cohorts, so the bars are not one group over time.
Work out your pay
Headline figures hide a lot. Calculate realistic take-home pay for this field by role, region and experience, then check your CV before you apply.
Job market & outlook
How Computer Science graduates fare in the labour market, and how AI is reshaping the work.
How AI is changing the work
AI doesn't replace the profession, it shifts it: routine tasks get automated, while judgement, working with people and using AI well become more valuable.
What AI takes off your plate
- Boilerplate and scaffolding code
- First-pass tests and docs
- Routine debugging and refactors
- Standard data wrangling
More human than ever
- System design and architecture trade-offs
- Reviewing and owning correctness & security
- Translating fuzzy problems into software
- Leading delivery and mentoring
The strongest graduates pair subject depth with the ability to use AI tools critically.
Roles & employers
Where Computer Science graduates typically go, indicative destinations from graduate career data. Each role links to live openings on the StudySmarter job board.
Roles graduates go into
Where they work
- Tech companies
- Banks & fintech
- Consultancies
- Government (GDS) & startups
Jobs after this course
Current roles from the StudySmarter job board that suit Computer Science graduates.
Who studies here and in this subject?
Provider- and UK subject-level context.
Edge Hill University
Computing across the UK
HESA student record 2024/25. Counts are rounded.
Local crime-data context
A neutral snapshot around the published teaching location.
Around Ormskirk
220 street-level reports returned within roughly one mile across 2026-04 to 2026-06.
Police.uk street-level API. Approximate locations, not confined to campus. England, Wales and Northern Ireland; not Scotland.
Is Computer Science right for you?
Tick what applies to you and see how good a fit it is.
International students
What applying to Edge Hill University from outside the UK involves: fees, English, visa, funding and living costs.
Tuition fees
International tuition is £14,500 / year for this course (from the provider’s fee page). You’re not eligible for UK Tuition Fee or Maintenance Loans, so plan for fees plus living costs upfront.
English language
Most UK undergraduate courses ask for around IELTS 6.0–6.5 (no band below 5.5–6.0), or an accepted equivalent. If you’re just short, most universities run a pre-sessional English course that counts towards the requirement.
Student visa
You’ll usually need a Student visa (Student Route). After you accept an offer the university issues a CAS; you then show funds for fees plus about £1,023–£1,334/month living costs and pay the Immigration Health Surcharge for NHS access.
Scholarships & funding
Many universities offer international/global scholarships (often £2,000–£6,000/yr), check Edge Hill University’s funding pages.
Living costs
Budget roughly £1,100–£1,400/month outside London and £1,400–£1,800/month in London for rent, food and travel; the figure also matters for your visa.
Working while you study
A Student visa usually allows up to 20 hours/week in term time and full-time in holidays, useful alongside study, though not something to rely on for fees.
Visa rules and fees change. Always confirm the current requirements with Edge Hill University and gov.uk before you apply.
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