BSc (Hons) Artificial Intelligence and Data Science at University of Lancashire is accredited by a recognised UK degree-awarding body, ensuring your qualification is nationally recognised.
Learn how to harness the power of artificial intelligence (AI) and data science. You From the provider’s course page.
BSc (Hons) Artificial Intelligence and Data Science is a Bachelor's degree (BSc (Hons)) at the University of Lancashire, based in Main Campus. It runs 3 years, studied full-time.
For Computing graduates from this provider, 85% were in work or further study 15 months after graduating, 70% in highly skilled roles, typical earnings around £25,000. (HESA Graduate Outcomes / LEO, via Discover Uni.)
For the typical curriculum, specialisations, career paths and graduate earnings for Computer Science, see the sections below.
The arithmetic mean of the official measures available for this course: NSS satisfaction, graduate activity and continuation.
Published threshold met NSS publication requires sufficient responses; small differences are not a rank. NSS mean of 7 published themes (Discover Uni snapshot 2026-06-21)
Limited evidence Published sample: 15; treat comparisons cautiously. Cohort 2022-23. Graduate Outcomes work or further study 85% (2022-23; Discover Uni snapshot 2026-06-21)
Published threshold met Discover Uni suppresses continuation data below its publication threshold. Cohort 2022-23. Continuation 73% (2022-23; Discover Uni snapshot 2026-06-21)
Real modules published for this course, grouped only where the source gives a year, stage or level.
This module aims to provide a learning environment emphasising on discovery and teamwork. You'll learn an overview of key practical aspects of computing. You will also begin the development of problem-solving skills relevant to computing professionals. The module aims to develop skills in usability and interface design and evaluation.
Explore fundamental concepts of working with data in intelligent systems. You'll learn how to prepare data for use. This includes ethics and governance issues around data. You'll also develop the analytical skills to effectively manage data.
Learn how data can be used for predictive modelling, with a focus on machine learning. You'll learn how to make decisions when given incomplete or missing data. You'll also evaluate basic machine learning models
You'll learn about the mathematical and statistical topics that underpin computer systems. This includes representing data in a mathematical way that's suitable for computer systems. You will apply these statistical techniques to real-world problems. You'll also learn how to work with different types of data.
This module will develop your ability to analyse a simple problem with a view to implementing a software solution. You will be provided with core skills in computer programming and debugging necessary to implement a readable and maintainable solution to a given problem. You will develop your software design skills and you'll be introduced to advanced programming techniques in preparation for study of an advanced programming module.
Within an interactive and stimulating learning environment, you will work in teams to discuss and explore a variety of systems. This will develop an in-depth understanding and the practicalities of database design and implementation which you can add to your programming skillset.
This module develops project leadership skills required by computer practitioners. The module explores working in an Agile way on a course-specific group project. You will reinforce your understanding of social, professional, ethical and legal aspects of Computing. The module will prepare you for your final year project by introducing teamwork, project planning and investigation skills.
You'll develop your programming skills, with a focus on data manipulation and analysis. This includes different programming paradigms and when to use them. You'll also learn to work with external libraries and integrate them into their programs for data analysis.
You'll gain an overview of artificial intelligence and its applications. This includes how to make decisions when using artificial-intelligence. This will pave the way for further study in deep learning and language processing.
You'll explore some of the principles that underpin 'big data' structure and management. This includes effective data collection and cleansing. You'll also learn how to extract meaningful insights from data, using modern tools and techniques.
You'll learn about a range of computational simulation techniques. This includes the simulation of physical systems. You'll develop practical skills and learn how to optimise computational simulation.
On this module you'll develop an understanding in using algorithms and data structures using various techniques and discrete mathematics. You'll then be able to apply this knowledge to illustrate design, analysis and optimisation and solve a wide range of problems.
On this module you will research, study and produce a report based on the investigation of a problem and the development of a solution. This project will be the culmination of the your study and will draw on the material and skills developed during the course.
You'll consider the potential wider use of artificial intelligence and data science. This will help with your career planning. You'll draw on your skills to come up with solutions to complex problems. This includes examining case studies with complicated legal and ethical scenarios.
You'll undertake self-initiated learning in an area related to your course. This will develop your independent study skills. It will also help you set your career goals and develop professional skills.
You'll learn how to train a deep learning model. You'll explore deep learning tools and techniques by examining different use cases. You'll also examine the latest topics in generative AI.
You'll understand how to communicate data visually, by making forecasts and a range of different data types. You'll also consider how human perception and cognitive biases can affect our interpretation.
Source: provider course page. Modules can change; required/optional status, credits, descriptions and assessment are shown only when explicitly published.
What this course covers, who it suits and where it leads.
You'll develop practical skills in harnessing artificial intelligence and data science to solve real-world problems. A course like this typically starts with programming fundamentals (often in Python and Java) alongside computer systems, architecture and discrete mathematics. In Year 2, you'll move into algorithms, data structures, databases and software engineering before tackling artificial intelligence and machine learning, covering search, learning algorithms and model evaluation. By Year 3, you'll choose specialist options such as cybersecurity, data science, software engineering, systems and networks, or human-computer interaction. Throughout, you'll build towards an individual project: a substantial supervised software build in your final year where you'll apply what you've learned to a real challenge.
Most students entering this course hold A-levels or equivalent qualifications, 89% of accepted students came in with these. The typical UCAS tariff among accepted students falls between 112 and 127 points. This course suits those with a genuine interest in computing fundamentals and their real-world applications across industry and research.
Across Computer Science courses nationally, 85% of graduates are in work or further study within 15 months of graduating. Of those working, 75% are in highly skilled roles or continuing their studies. National graduate earnings data shows starting salaries typically range from £25,000 to £35,000 at 15 months; after five years, graduates earn between £29,750 and £42,000. These figures reflect national outcomes; individual circumstances vary. The university's funding pages detail available bursaries and scholarships.
The University of Lancashire, based at its Main Campus, is a university recognised as a UK degree-awarding body. This BSc (Hons) in Artificial Intelligence and Data Science runs full-time over 3 years and is taught in English. The degree is accredited through the university's recognised status, ensuring national recognition. The university holds Silver for teaching quality under the Office for Students' TEF 2023 assessment.
How students on this course answered the National Student Survey, by theme.
Share of students responding positively.
Published threshold met NSS publication requires sufficient responses; small differences are not a rank. NSS mean of 7 published themes (Discover Uni snapshot 2026-06-21)
The next application dates for this course, followed by facts the provider publishes.
Your application needs a reference before you can send it.
Applications must reach UCAS by 18:00 UK time.
Check that this course still has a vacancy before adding it.
18:00 UK time for most undergraduate courses.
Applicants who used all five choices and hold no offer may be able to add another choice.
Applications received after 18:00 UK time are entered into Clearing.
Eligible applicants can see vacancies and release themselves into Clearing.
Applications must reach UCAS by 18:00 UK time.
Check that this course still has a vacancy before adding it.
Placement year. Availability, selection and pay can vary.
See and book current events. Dates can fill or change.
What recently admitted students actually held, official admissions data, not a stated requirement.
Grades are the A-level equivalent of each points band. Tap a band to check your own chances below.
| Qualification | Share |
|---|---|
| A-levels or equivalent | 89% |
| another higher-education qualification | 6% |
| a previous degree | 2% |
| an Access course | 2% |
| Other | 2% |
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.
Pick your predicted A-levels and watch your UCAS points land on the real spread of students admitted to this course.
Each bar is the share of admitted students in that UCAS-points band (lower → higher). Grades show the A-level equivalent.
Based on the official admitted-student tariff distribution. Many universities make contextual (reduced-grade) offers, so a result below the range doesn’t rule you out.
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.
Create your UCAS application and add this course (code AI10). One application covers up to five choices.
A single statement covers all your choices, so keep it broad enough for similar courses while showing genuine interest in this subject.
UCAS equal-consideration deadline for most undergraduate courses. Source: UCAS 2027 dates.
When decisions are in, pick a firm (first) choice and an insurance (back-up) choice with slightly lower grades.
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.
What this course costs and how UK student finance covers it.
Provider fee page (England 2026/27 cap where not stated).
Check fees at University of Lancashire →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.
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.
England figures shown; Scotland, Wales & NI run their own schemes, check gov.uk.
Named awards published by the university. Compare the eligibility and application route before budgeting for one.
Undergraduates from low-income households, subject to eligibility
Eligible undergraduate students with experience of care
Eligible undergraduate or taught-postgraduate unpaid carers
Forced migrants who are not eligible for student finance
Amounts, exclusions and deadlines can change. An award is not guaranteed unless the university confirms it.
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.
What Computer Science graduates actually earn, from real outcome data, 15 months, 3 years and 5 years after graduating.
| When | Median | Typical range | Graduates |
|---|---|---|---|
| 15 months after | £25,000 | £24,000 – £30,000 | 15 |
| 3 years after | £24,500 | £19,000 – £31,500 | 225 |
| 5 years after | £28,000 | £21,500 – £39,000 | 235 |
Nominal earnings for graduates of this course/subject at this provider. Limited evidence. Published sample: 15; treat comparisons cautiously. Cohort 2022-23.
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.
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.
Choose an outcome to translate the published percentage into a simple 100-person view. Each dot represents one percentage point, not an individual tracked student.
15 months after graduation
Source: Discover Uni, using Graduate Outcomes and continuation data. Cohorts: 2022-23. Limited evidence. Published sample: 15; treat comparisons cautiously. Cohort 2022-23. Each tab is a separate published measure; categories can overlap and should not be added together.
How this course’s 5-year median earnings compare with Computer Science courses at the same study level.
Compared with 1,820 courses with compatible official earnings data. This is a course-value comparison, not a quality ranking.
Published graduate destinations, joined conservatively to UK SOC 2020, ONS pay and Skills England demand.
Discover Uni JOBLIST/JOBTYPE; ONS ASHE 2025 provisional, all employee jobs; Skills England Occupations in Demand 2025. SOC is shown only for an exact normalised label match; demand is shown only at exact four-digit SOC. Published sample: 90; response rate: 50%. Pay describes the occupation across workers, not a guaranteed graduate salary.
How Computer Science graduates fare in the labour market, and how AI is reshaping 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.
The strongest graduates pair subject depth with the ability to use AI tools critically.
Where Computer Science graduates typically go, indicative destinations from graduate career data. Each role links to live openings on the StudySmarter job board.
Current roles from the StudySmarter job board that suit Computer Science graduates.
Software Developer Placement Programme No experience neededIT Online LearningSoftware Developer - .NET & Azure for Green Energy ProjectsOfgemSoftware Developer Backend (SFIA5)ZaiziSoftware Developer (Mobile Apps) in Guildford - ECM Selection (Holdings) LimitedJava Script WorksSoftware Developer (Contract) – Higher Education Projects (UK)Burman RecruitmentSoftware Developer – Distributed Scheduling & Workload OrchestrationCGG Services (UK) LimitedThe essentials UK applicants ask about: finance, outcomes, entry and quality.
For comparison, the standard full-time England tuition cap is up to £9,790 per year in 2026/27; the actual fee varies by course and provider. If you normally live in England, eligible students can apply for a Tuition Fee Loan, plus a Maintenance Loan for living costs. Under Plan 5 you repay 9% of income above £25,000, nothing below that, and the balance is written off after 40 years.
85% were in work or further study 15 months after graduating, with a median salary of £25,000. See the full breakdown in Careers & earnings above.
Use the UCAS points calculator above to see how your predicted grades compare with admitted students, and whether a contextual offer could apply.
Averaging the official measures published for it, this course scores 7.6 out of 10: NSS 70.3% · in work or study 85% · continued 73%.
Provider- and UK subject-level context.
HESA student record 2024/25. Counts are rounded.
A neutral snapshot around the published teaching location.
2,263 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.
Tick what applies to you and see how good a fit it is.
What applying to University of Lancashire from outside the UK involves: fees, English, visa, funding and living costs.
International tuition is £17,325 / 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.
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.
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.
Many universities offer international/global scholarships (often £2,000–£6,000/yr), check University of Lancashire’s funding pages.
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.
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 University of Lancashire and gov.uk before you apply.
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Prospectus, key dates, entry and funding, free to your inbox.
