BSc (Hons) Computer Science (Artificial Intelligence) Bachelor's degree at the University of Plymouth
BSc (Hons) Computer Science (Artificial Intelligence) at University of Plymouth explores AI and machine learning alongside core computer science principles. You'll encounter specialisations such as Software Engineering, Data Science, Cyber Security, Web & Mobile, Cloud & DevOps, Games, and Human-Computer…
About this course
University of Plymouth undergraduate course: BSc (Hons) Computer Science (Artificial Intelligence) - Artificial intelligence (AI) is a rapidly growing field within computer science, and this course will give you the skills you need to excel within it. From the provider’s course page.
BSc (Hons) Computer Science (Artificial Intelligence) is a Bachelor's degree (BSc (Hons)) at the University of Plymouth, based in University of Plymouth Campus. It runs 3 years, studied full-time.
For Computing graduates from this provider, 90% were in work or further study 15 months after graduating, 80% in highly skilled roles, typical earnings around £32,500. (HESA Graduate Outcomes / LEO, via Discover Uni.)
For the typical curriculum, specialisations, career paths and graduate earnings for Computer Science, see the sections below.
Course evidence score
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: 20; treat comparisons cautiously. Cohort 2022-23. Graduate Outcomes work or further study 90% (2022-23; Discover Uni snapshot 2026-06-21)
Published threshold met Discover Uni suppresses continuation data below its publication threshold. Cohort 2022-23. Continuation 82% (2022-23; Discover Uni snapshot 2026-06-21)
Curriculum & modules
Real modules published for this course, grouped only where the source gives a year, stage or level.
Stage 1 6 modules
- Computing Placement PreparationCore
Module details
Undertaking a sandwich-year placement (also known as an industrial or work placement) offers many benefits, including valuable hands-on work-experience and enhanced employability. This module is for first-year students who may undertake a placement in their third year. It is designed to support students in exploring placement opportunities and developing the skills and knowledge required to successfully secure one.
- Software Engineering 1Core20 credits
Module details
In this hands-on module, you'll explore how computers make decisions, repeat actions, and store data while building your own programs step by step to solve real-world problems using programming languages. Along the way, you'll use professional tools and techniques to write clean code, test, and debug. Whether you're dreaming of games, apps, or AI, this module is your first step into the world of software engineering.
Assessment: 100% Coursework
- Computer SystemsCore20 credits
Module details
Explore the hidden machinery behind every computing device. In this foundational module, you'll uncover how computers really work - from digital logic to hardware architecture, operating systems, and assembly language. Build the understanding needed to work confidently across platforms and systems.
Assessment: 100% Coursework
- Cyber Security & NetworksCore20 credits
Module details
Step into the world of secure digital infrastructure. You'll learn how devices connect, how data flows, and how to defend networks against cyber threats. From configuring routers to exploring malware and encryption, this module builds the skills to protect and manage today's interconnected systems.
Assessment: 100% Coursework
- Algorithms, Data Structures and MathematicsCore20 credits
Module details
Discover the logic that powers computing. This module dives into essential data structures and algorithms, showing how they solve real problems efficiently. From recursion to graph traversal, you'll combine theory and coding to develop analytical skills that form the core of computational thinking.
Assessment: 100% Coursework
- Computing PracticeCore40 credits
Module details
Develop confidence in the day-to-day tools and workflows of modern computing. In this foundational module, you'll use real development environments, track code changes, write effective documentation, and collaborate on small projects. You'll gain essential habits that support software development, problem-solving, and teamwork from day one.
Assessment: 80% Coursework 20% Practicals
Stage 2 7 modules
- Software Engineering 2Core20 credits
Module details
Go beyond coding to master the craft of software development. This module builds on foundational skills by exploring agile practices, version control, test automation, and software quality. You'll learn how professionals deliver reliable, maintainable systems in dynamic real-world environments.
Assessment: 100% Coursework
- Information Management & RetrievalCore20 credits
Module details
In a world where data is everywhere, learn to find what matters. This module explores how to structure, store, and retrieve meaningful information using modern databases. You'll design queries, optimise search performance, and understand the backbone of intelligent data systems.
Assessment: 100% Coursework
- Artificial IntelligenceCore20 credits
Module details
Unlock the foundations of machine intelligence. This module introduces core AI concepts including decision trees, neural networks, and heuristic search. You'll explore how machines learn, adapt, and solve problems, building intelligent systems that mimic human thinking.
Assessment: 100% Coursework
- Computing Group ProjectCore40 credits
Module details
Collaborate to build a working software system from idea to delivery. In this module, you'll take on a real-world development challenge as part of a structured team. You'll plan, design, code, and test your solution while honing agile methods, managing client expectations, and developing the communication and coordination skills used in professional software teams.
Assessment: 80% Coursework 20% Practicals
- Software Development Tools and PracticesOptional20 credits
Module details
Master the everyday tools of professional software development. This module covers version control, issue tracking, build automation, and documentation workflows. You'll gain the practical habits that enable teams to work efficiently, collaboratively, and with confidence.
Assessment: 100% Coursework
- Security Architectures & CryptographyOptional20 credits
Module details
Build secure systems from the inside out. In this module, you'll study cryptographic techniques, authentication mechanisms, and secure architectural design. You'll learn to evaluate risk, apply encryption, and design layered defences - gaining the skills to build systems that protect data, ensure trust, and withstand evolving threats.
Assessment: 100% Coursework
- Mechanics and SystemsOptional20 credits
Module details
Take your game development skills to the next level by building networked systems with modular, replicated mechanics. You'll explore how servers and clients communicate, manage data flow securely, and use editor tools to support designers and artists. Learn how to structure multiplayer-ready projects and work confidently with complex systems in real-world scenarios.
Assessment: 100% Coursework
Placement Year 1 modules
- Computing Related Placement (Generic)Core
Module details
A year-long work-placement, undertaken with an approved placement provider and in a role relevant to the students programme. Students will leave with practical and relevant work experience, where they put theory into practice. This module is attached to the Placement and provides students with a single digital space to refer to for key reminders, FAQs, contact details, top tips and their Placement-year handbook.
Stage 3 7 modules
- Computing ProjectCore40 credits
Module details
This module provides students with an opportunity to demonstrate their ability to work independently on an in-depth project with an implementation element that builds on their established knowledge, understanding and skills to provide a problem solution. Self-management, innovation, creativity, ability to synthesise information, ideas and practices are key concepts, as is the ability to engage in critical self-evaluation.
Assessment: 80% Coursework 20% Practicals
- Machine LearningCore20 credits
Module details
Dive into the world of machine learning, where data becomes insight and algorithms learn from experience. You'll explore supervised and unsupervised models, build neural networks, evaluate results, and apply industry-standard tools - gaining hands-on experience in one of the most transformative fields in computing today.
Assessment: 100% Coursework
- Human-Robot InteractionCore20 credits
Module details
Explore the cutting edge of collaboration between humans and machines. This module dives into Human-Robot Interaction, where technology meets empathy. You'll investigate the challenges of designing intuitive robotic systems and evaluate real-world interactions to build the future of responsive, intelligent agents.
Assessment: 100% Coursework
- Full-Stack DevelopmentOptional20 credits
Module details
Build complete web applications from front to back. In this module, you'll design interfaces, implement server logic, and connect databases using industry-standard tools. You'll develop and deploy full-stack systems that power interactive, data-driven digital experiences.
Assessment: 100% Coursework
- Big Data AnalyticsOptional20 credits
Module details
Work with data that doesn't fit in a spreadsheet. In this module, you'll use big data frameworks to process, analyse, and visualise vast datasets. You'll learn a range of big data analytical techniques and technologies, explore distributed storage, and develop scalable analytics solutions - building practical skills for industries where data drives discovery, decision-making, and innovation.
Assessment: 100% Coursework
- HCI, Usability and VisualizationOptional20 credits
Module details
Design technology that works for people. In this module, you'll explore the science and art of Human-Computer Interaction, usability engineering, and interactive visualisation. Learn how to build intuitive interfaces, evaluate user experiences, and visualise data in ways that are clear, accessible, and impactful.
Assessment: 100% Coursework
- Parallel ComputingOptional20 credits
Module details
Ever wondered how to make software run faster, on a laptop or even a supercomputer? In this module, you'll learn to spot performance bottlenecks and speed up real-world applications on modern multi-core CPUs and GPUs. From PCs to high-performance systems, you'll gain hands-on experience writing efficient parallel code and even test it on the University's brand-new supercomputer used by real researchers.
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 focus on the theory and practice of artificial intelligence alongside core computer science foundations. A course like this typically moves from programming fundamentals, computer systems and discrete mathematics in Year 1, through algorithms, databases, software engineering and machine learning in Year 2, to specialist options and capstone work in Year 3. The AI emphasis means you'll usually explore search algorithms, learning systems and model evaluation early, then move to applied specialisations such as cybersecurity, data science, systems and networks, software engineering, or human-computer interaction. You'll typically complete an individual project in your final year, applying these skills to a substantial supervised software build.
Who it's for
This course suits students with a strong interest in artificial intelligence and its practical applications across industry. Most accepted students held A-levels or equivalent qualifications; the typical UCAS tariff band among recent entrants was 112–127 points. You'll benefit from this course if you're curious about how AI systems work, want to develop technical programming skills, and are interested in solving real-world problems through machine learning and intelligent software design.
Careers & job market
Across Computer Science courses nationally, 85% of graduates are in work or further study within 15 months of graduating, with 75% of working graduates in highly skilled roles or continuing their studies. National earnings data shows starting salaries of £25,000–£35,000 at 15 months post-graduation, rising to £29,750–£42,000 after five years. These figures reflect national Graduate Outcomes and LEO data, not university-specific guarantees. Your career path will depend on your specialisation, experience, and individual choices.
University & format
This is a 3-year full-time Bachelor's degree (BSc Honours) taught in English at the University of Plymouth Campus. The University of Plymouth is a nationally recognised degree-awarding body, and the course carries a Gold award for teaching quality in the Office for Students' TEF 2023.
Student satisfaction
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)
Applicant information
The next application dates for this course, followed by facts the provider publishes.
- 2027 entryCompleted applications can be submitted
Your application needs a reference before you can send it.
- 2026 entryFinal date for 2026 applications
Applications must reach UCAS by 18:00 UK time.
- 2026 entryLast day to add a Clearing choice
Check that this course still has a vacancy before adding it.
- 2027 entryEqual-consideration deadline
18:00 UK time for most undergraduate courses.
Show 5 later dates
- 2027 entryUCAS Extra opens
Applicants who used all five choices and hold no offer may be able to add another choice.
- 2027 entryLast day applications go directly to providers
Applications received after 18:00 UK time are entered into Clearing.
- 2027 entryClearing opens
Eligible applicants can see vacancies and release themselves into Clearing.
- 2027 entryFinal date for 2027 applications
Applications must reach UCAS by 18:00 UK time.
- 2027 entryLast day to add a Clearing choice
Check that this course still has a vacancy before adding it.
Provider-published requirement; check the linked course page before applying.
Entry & how to get in
Who gets in
What recently admitted students actually held, official admissions data, not a stated requirement.
UCAS tariff of entrants
Grades are the A-level equivalent of each points band. Tap a band to check your own chances below.
Qualifications held on entry
| Qualification | Share |
|---|---|
| A-levels or equivalent | 50% |
| another higher-education qualification | 35% |
| a previous degree | 15% |
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.
Will you get in? Plot your grades
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.
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. 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 13 January 2027, 18:00 UK time
UCAS equal-consideration deadline for most undergraduate courses. 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
Standard capped home fee at English providers (2026/27); Scotland, Wales & NI differ.
Check fees at University of Plymouth →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.
Graduate earnings: this course
| When | Median | Typical range | Graduates |
|---|---|---|---|
| 15 months after | £32,500 | £26,500 – £42,000 | 20 |
| 3 years after | £27,500 | £22,000 – £35,000 | 250 |
| 5 years after | £37,500 | £27,500 – £51,000 | 250 |
Nominal earnings for graduates of this course/subject at this provider. Limited evidence. Published sample: 20; treat comparisons cautiously. Cohort 2022-23.
Graduate outcomes, 15 months on: this course
- 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.
What happened to 100 students?
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.
were in work or further study
15 months after graduation
Source: Discover Uni, using Graduate Outcomes and continuation data. Cohorts: 2022-23. Limited evidence. Published sample: 20; treat comparisons cautiously. Cohort 2022-23. Each tab is a separate published measure; categories can overlap and should not be added together.
Value compared with similar courses
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.
UK occupations graduates enter
Published graduate destinations, joined conservatively to UK SOC 2020, ONS pay and Skills England demand.
- Information Technology ProfessionalsSOC 2020 213 · 55% of published destinations · ASHE median £55,357
- Elementary occupationsSOC 2020 9 · 10% of published destinations · ASHE median £19,087
- Science, engineering and technology associate professionalsSOC 2020 31 · 10% of published destinations · ASHE median £34,828
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: 45; response rate: 55%. Pay describes the occupation across workers, not a guaranteed graduate salary.
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.
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) LimitedIs this course right for you?
The essentials UK applicants ask about: finance, outcomes, entry and quality.
Student finance
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.
Where graduates go
90% were in work or further study 15 months after graduating, with a median salary of £32,500. See the full breakdown in Careers & earnings above.
Your entry chances
Use the UCAS points calculator above to see how your predicted grades compare with admitted students, and whether a contextual offer could apply.
Official-data snapshot
Averaging the official measures published for it, this course scores 8.3 out of 10: NSS 76.6% · in work or study 90% · continued 82%.
Who studies here and in this subject?
Provider- and UK subject-level context.
University of Plymouth
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 University of Plymouth Campus
3,218 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 University of Plymouth from outside the UK involves: fees, English, visa, funding and living costs.
Tuition fees
International tuition is set per course by University of Plymouth; international fees are typically £12,000–£30,000/year for classroom subjects and higher for lab/clinical ones. 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 University of Plymouth’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 University of Plymouth and gov.uk before you apply.
Related courses
More at University of Plymouth
Common questions
How competitive is entry?
What are the entry requirements?
What do graduates go on to do?
What will it cost me?
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