TEF Gold Undergraduate course

BSc (Hons)

Computer Science (Artificial Intelligence)

Artificial intelligence (AI) is a rapidly growing field within computer science. Gain skills in real-world applications, AI theory, and creating tools for Industry 4.0, while exploring its ethical impact and engaging with top research.

Our typical offer

104 UCAS points

Practical, hands-on learning

At Plymouth you will 'learn through doing', engaging in practical activities that give you room to expand your creativity and build skills highly valued by employers.

Be part of the team

You will participate in team-based projects that mirror industry practices, developing ideas, achieving solutions, applying your knowledge and enhancing your teamwork skills.

Strong industry links

Use Plymouth's strong links with leading companies such as Apple, Microsoft, IBM, Oracle, and Intel, to gain experience working to solve real-world problems as part of your studies, increasing your career potential.

About

Oluwajomiloju Samuel Fakolujo - Computer Science student

Technology continues to revolutionise the way we live, build, work, shop, learn and even access medical care. At Plymouth, you will gain hands-on skills across a range of topics including coding, algorithms, database and software development, cyber security, networks and social, legal and ethical aspects of IT. Through studying with our experts and applying your knowledge, you too will advance new technologies such as artificial intelligence, automation, virtual reality and smart devices.

Dr Amir Aly
Dr Amir Aly Lecturer in Artificial Intelligence and Robotics

This course is for you if...

you're fascinated by the potential of artificial intelligence and its real-world applications
Group of three people with lightbulb above head
you enjoy hands-on learning and developing new things
Finger pressing button
you aspire to work with industry leaders on real-world problems
Three individuals below a globe, depicting community
you aim to build a career in the rapidly growing field of AI
Graphic depicting artificial intelligence

Details

Year 1

Start your journey at the cutting edge of technology. In your first year, you’ll dive into the core principles of computer science—learning to code, solve problems algorithmically, and master the maths that powers modern computing.
From day one, it’s hands-on: you’ll design databases, explore how operating systems work under the hood, and start thinking like a developer.
Our industry-aligned curriculum sets you up for success, with practical workshops and early preparation to set you up for specialisation.
Student pointing to computer screen showing something to a lecturer who is leaning over him

Core modules

BPIE111
Stage 1 Computing Placement Preparation 0 credits

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.

COMP1000
Software Engineering 1 20 credits

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.

100% Coursework

COMP1001
Computer Systems 20 credits

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.

100% Coursework

COMP1002
Cyber Security & Networks 20 credits

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.

100% Coursework

COMP1003
Algorithms, Data Structures and Mathematics 20 credits

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.

100% Coursework

COMP1004
Computing Practice 40 credits

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.

80% Coursework

20% Practicals

Year 2

In your second year, you’ll move beyond the fundamentals and start building intelligent systems that solve meaningful problems. You’ll refine your coding and software engineering skills, learn to manage and retrieve complex information, and dive deep into core AI concepts - from search and logic to intelligent agents. 
Working in a collaborative group project, you’ll apply your knowledge to real scenarios, designing systems that think, learn, and adapt. With a range of optional modules - including security, software tools, and game development - you can tailor your learning to your interests and career goals.
Student looking at a computer screen

Core modules

BPIE211
Stage 2 Computing Placement Preparation 0 credits

A year-long work placement is a valuable opportunity to gain hands-on experience and develop skills that will enhance future career prospects. This module prepares students to begin their placement search by providing practical guidance on where to look, how to apply, and how to present themselves effectively to potential employers; featuring insights from students who have recently returned from their own placements.

COMP2000
Software Engineering 2 20 credits

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.

100% Coursework

COMP2001
Information Management & Retrieval 20 credits

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.

100% Coursework

COMP2002
Artificial Intelligence 20 credits

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.

100% Coursework

COMP2003
Computing Group Project 40 credits

Knowledge gained in earlier stages of the computing programmes is consolidated and integrated into a substantial project. Students work in teams, champion professional roles, design and develop a software solution for a given scenario. The project integrates and expands upon software development stages covered on the course (project management, analysis, design, construction, communication, security and/or networking).

80% Coursework

20% Practicals

Optional modules

COMP2005
Software Development Tools and Practices 20 credits

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.

100% Coursework

COMP2006
Security Architectures & Cryptography 20 credits

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.

100% Coursework

COMP2007
Game Development 20 credits

Turn ideas into interactive experiences. In this hands-on module, you'll design and build digital games using industry-standard tools. Explore gameplay mechanics, visual storytelling, and user interaction while collaborating on engaging, playable prototypes that bring creativity to life.

100% Coursework

Optional placement year

Step into the real world and put your skills to the test. During this 48-week industry placement, you’ll gain invaluable experience in a professional environment - applying everything you’ve learned so far to real projects, real teams, and real challenges. 
Supported by our strong network of industry partners and dedicated placement team, you’ll build confidence, sharpen your technical and professional skills, and grow a network of contacts that can open doors after graduation. It’s your opportunity to stand out, gain a competitive edge, and graduate with more than just a degree - graduate with experience.
Computing student Samuel H Holmes

Core modules

BPIE330
Computing Related Placement (Generic)

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.

Final year

Your final year is where you transform from student to AI specialist. You’ll master machine learning, explore how humans and robots interact, and apply your expertise in a major year-long project that solves a real-world challenge. 
Choose optional modules in cutting-edge areas such as big data analysis, full-stack development, usability, or parallel computing. 
Whether you want to design smart assistants, build AI for healthcare, or engineer systems that see and respond to the world - you’ll graduate with a portfolio, experience, and confidence to lead in the AI revolution.
Pepper robot

Core modules

COMP3000
Computing Project 40 credits

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.

80% Coursework

20% Practicals

COMP3003
Machine Learning 20 credits

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.

100% Coursework

COMP3018
Human-Robot Interaction 20 credits

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.

100% Coursework

Optional modules

COMP3006
Full-Stack Development 20 credits

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.

100% Coursework

COMP3008
Big Data Analytics 20 credits

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.

100% Coursework

COMP3007
HCI, Usability and Visualization 20 credits

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.

100% Coursework

COMP3001
Parallel Computing 20 credits

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.

100% Coursework

The modules shown for this course are those currently being studied by our students, or are proposed new modules. Please note that programme structures and individual modules are subject to amendment from time to time as part of the University’s curriculum enrichment programme and in line with changes in the University’s policies and requirements.

Experience

Develop your computational theory and practice

Gather requirements 

Understand the problem. Learn how to conceptualise and design solutions to real-world problems. Be more than a coder.

Collaborate within a team 

Work on projects from week one. Develop workflows, processes and understanding that allows your team to innovate.

Manage the pressure of deadlines 

Make something tangible. Ensure it works. Optimise and iterate. Be agile and ready to overcome challenges.
Our specialist labs aid our research-driven, hands-on teaching
Our dedicated Computer Science hub will be ready to welcome students in September 2025, providing a dedicated space for our community of students, staff and technicians.  
We also have dedicated artificial intelligence, games development, cyber security and software engineering labs to support our suite of specialist degrees.
Computer science student standing in a laboratory
 
 
 
Samuel Fakolujo

I don’t think there’s been a single week where I haven’t used the computing lab at least five out of seven days. Having free, full access to specialised software like MATLAB, VirtualBox, Azure and Eclipse has been a significant boost to my education.

Samuel Fakolujo
BSc (Hons) Computer Science student

 
 
 

Research-informed teaching

Learn from researchers and lecturers who are developing applications.
Benefit from our industry expertise and study a course that is influenced by our innovative research. Study theoretical and practical modules, which cover a range of topics including machine learning, computational theory, artificial intelligence, computer vision and parallel computing.
We have active research projects that are key to some of the industry's most pressing issues. Active core members of these research groups make up a large proportion of your lecturers and tutors, and you will be taught be some of the best academics in the field.
Dr Rory Hopcraft Lecturer in Cyber Security


Lecturer in Cyber Security

Programme Director
Dr Fatma Bouabdallah Lecturer in Computer Science


Lecturer in Computer Science

Year 1 Tutor
Dr Vasilios Kelefouras Lecturer in Computer Science


Lecturer in Computer Science

Admissions Tutor
Show all
 
 
 

Passionate about all things computing?

Explore, innovate, and connect with CompSoc; the University of Plymouth Computing Society. We offer a platform to:
  • participate and learn together in collaborative coding sessions. Perfect for both improving your skills and helping others with their coding challenges
  • gain insights from industry professionals through our guest speaker events, providing valuable industry connections and real-world perspectives on what it's like working in tech.
  • build your professional network at our events. Meet peers, alumni, and professionals from the tech industry, opening doors to potential career opportunities and collaborations.
Join CompSoc
Computing students huddled around a laptop
 
 
 

Life in Plymouth

Plymouth's maritime history and coastal location have an undeniable influence on life in the city. The walk from our main campus to the seafront is only about one mile, providing loads of opportunity to relax and unwind during your studies. You don’t need to leave the city to get to the coast!
 

The overall vibe of the city is perfect. You are by the sea so it is still laid back, but you have all the conveniences of living in a city.

Jenna
Current student

Careers

Jake Evans, BSc (Hons) Computer Science graduate, Software Developer at PenCarrie Ltd

The professional skills I learned at Plymouth, coupled with the technical expertise in certain areas, allowed me to move directly into a Software Developer role

Jake Evans
BSc (Hons) Computer Science graduate, Software Developer at PenCarrie Ltd

According to CompTIA's State of the Tech Workforce UK report, the tech sector employed just under two million workers in 2021, accounting for 6.3% of the total UK workforce (source: Prospects 2023). The future is very promising for computing graduates.
Artificial intelligence graduates have gained employment as: mobile developers, web application developers, software developers, project managers, systems analysts, software engineers, UX developer, data analytics developer, AI developer, machine learning engineer, data engineer/architect.

Optional placement year: preparing you for the future

Preparing the next generation of computer scientists means offering opportunities to collaborate with industry connections through work placements and taking real-world business projects. The optional placement year offers you the chance to engage in hands-on learning, gaining practical experience so that you’ll be well-equipped to excel in the rapidly evolving world of technology.

We regularly have students securing placements and jobs at FTSE 100 companies. There is a perception that only students from red brick universities go to these places. It simply is not the case – our students are massively competitive and win these placements as well.

Nathan ClarkeProfessor Nathan Clarke
Professor in Cyber Security and Digital Forensics

The placement year taught me how to interact with different people throughout the company at differing levels and how to approach conversations to get the maximum amount of information out of them.

Richard Imms
BSc (Hons) Computer Science graduate, Senior Machine Learning Engineer at Just Eat.
*Data is from the Graduate Outcomes Surveys covering the three years of 2019/20 – 2021/22. Graduates were surveyed 15 months after graduating. Data displayed is for UK-domiciled, first degree, full-time graduates who are working, studying or looking for work.
 

Fees and funding

Tuition fees

 
 
 
Tuition fees for new full-time students starting in 2025-2026 or
2026-2027.
Full-time study
£9,535 per year
Part-time study
£795 per 10 credits
Optional placement year completed in the UK
£1,905
 
Optional placement year completed outside the UK
£1,430
 
 
 

Tuition fee price changes

In November 2024, the UK Government announced an increase to tuition fees and maintenance support for 2025/26 academic year, setting the standard tuition fee and student maintenance loan at £9,535 per year and the University’s tuition fees were increased to this rate.
The UK Government has indicated that further fee increases may be announced this year and in subsequent years. If the UK Government does so, the University may increase annual tuition fees in subsequent years, which may include the fees for the 2026/2027 academic year, in line with the Student Contract and all times in line with the maximum tuition fee caps set by the Government. More information about  fees and costs of studying .
 
 
 
 
 
 
 
Tuition fees for full-time international students starting in 2025-2026 academic year.
Full-time study
£18,650 per year
Optional placement year completed in the UK
£1,905
 
Optional placement year completed outside the UK
£1,430
 
 
 
Tuition fees for full-time international students starting in 2026-2027 academic year.
Full-time study
£19,200 per year
Optional placement year completed in the UK
To be confirmed
 
Optional placement year completed outside the UK
To be confirmed
 

Tuition fee price changes

Our fees are reviewed on an annual basis. Fees and the conditions that apply to them are the most up to date but are still subject to change in exceptional circumstances. More information about fees and costs of studying .
 
 
 
 
 
 
 

Fund your studies

As an undergraduate at Plymouth, there are plenty of funding options available, including tuition fee loans, living cost loans, scholarships, bursaries and support funds.
 

Supporting students with the cost of living

The cost of living in the UK has risen faster than household income, meaning that most people will have less to spend on essential goods and services. This is an ongoing situation that is likely to affect everyone in some way.
The University provides advice and guidance and has a range of services, facilities and offers to help students with rising everyday costs.
 
Careers Hub

Apply

 
 
 
 
 
 

Entry requirements

Our typical offer
104 UCAS points

You may be eligible for a contextual offer

Contextual offers: Typically, the contextual offer for this course is 8 points below the advertised tariff. A contextual offer is an offer to study at university that takes into account individual circumstances that are beyond your control, and that can potentially impact your learning and your exam results, or your confidence in applying to university.

Check your eligibility for a contextual offer

GCSE

English C/4 and mathematics grade C/4. 

A levels

104 points from minimum of 2 A levels in any subject

18 Unit BTEC National Diploma/QCF Extended Diploma

DMM-DDM – science related subjects: IT, Humanities, Engineering, Software Development, IT Practitioners, Business, Computing, Science (GCSE English C/4 and mathematics grade B/5. If you have a grade C/4 in mathematics please contact admissions team).

BTEC National Diploma modules

If you hold a BTEC qualification it is vital that you provide our Admissions team with details of the exact modules you have studied as part of the BTEC. Without this information, we may be unable to process your application quickly and you could experience significant delays in the progress of your application to study with us. Please explicitly state the full list of modules within your qualification at the time of application.

All Access courses

Pass Access to HE Diploma in a relevant subject (e.g. Computing/IT/Science/Humanities/Engineering), with at least 33 Level 3 credits at Merit/Distinction.

T level

Merit to Distinction depending on the Mathematics units studying within the T level pathways.

International Baccalaureate

26-30 overall

Extended entry requirements

To be accepted onto a degree course with us, you must have a suitable English language qualification. 
 

Ready to apply?

All applications for undergraduate courses are made through UCAS.com. Please refer to the course facts below when completing your application for this course.
 
UCAS course code
I400
Institution code
P60
Duration

3 years
(+ optional placement)

Course type

Full-time

Study location
Plymouth

Other routes into this course

The following courses are available as routes into this programme.

BSc (Hons) Computer Science with Foundation Year

Don't have the traditional entry requirements to start a degree? Get a solid grounding in the disciplines underpinning computer science through an additional foundation year, gaining hands-on skills across a range of topics.

 

Entry requirements

We welcome applicants with international qualifications and we accept a range of qualifications from across the globe.
 
Our typical offer
104 UCAS points
 
 

BSearch entry requirements for your country

English language requirements

To be accepted onto a degree course with us, you must have a suitable English language qualification. 
 

Ready to apply?

As an international student, you can apply for this course through UCAS or an agent in your country.
 
UCAS course code
I400
Institution code
P60
Duration

3 years
(+ optional placement)

Course type

Full-time

Study location
Plymouth

Other routes to this course

If you do not have the required qualifications for this course, you may be able to gain them through the University of Plymouth International College (UPIC)
 
 
 
 

Visit us at an undergraduate on-campus open day

Open days are the best way to get a feel for studying an undergraduate degree at the University of Plymouth.
 
Book your place
Man sitting outside with surrounded by friends
 
 
 
The results of the National Student Survey (NSS) and the Graduate Outcomes survey (GO) are made available to prospective students and their advisors through the Discover Uni website.