Computer Science BSc (Hons) / MEng
Build a solid foundation of core computer science concepts – everything from program design, data structures and algorithms, networking and operating systems to cyber security
Key information
UCAS code:
G400 (BSc), I100 (MEng)
Accreditation:
This course is Accredited
Typical offer:
112-120 points (BSc) / 120-128 points (MEng), from 2 or 3 A levels or equivalent, to include a relevant subject
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Overview
Develop technology that will define the future.
On this Computer Science degree, you'll build a solid foundation of core computer science concepts – everything from program design, data structures and algorithms, networking and artificial intelligence to cyber security.
Further strengthen your knowledge on an optional placement, following past students who've gained industry insight at global organisations like IBM and BAE Systems.
BSc or MEng?
The 3-year Bachelor's degree (BSc) and 4-year integrated Master's degree (MEng) share many of the same modules in years 1–3.
The MEng allows you to achieve a Master’s level degree with an extra year of undergraduate study, which can further enhance your career prospects. In the final year of your MEng, you'll study advanced topics and complete an interdisciplinary project to get practical experience in the field.
The University of Portsmouth is ranked 5th of the modern universities for research quality in computer science and informatics
Research Excellence Framework (REF) 2021
Course highlights
- Specialise in areas such as artificial intelligence (AI), cybersecurity, robotics, data mining, cryptography and the Internet of Things (IoT)
- Take part in national and international competitions and complete industry recognised certifications
- Learn from experts researching artificial intelligence that could save lives and winning awards for prototype software to predict a Covid-19 diagnosis
Accreditation
BSc
This course is accredited by the British Computer Society (The Chartered Institute for IT), fulfilling academic requirement for CITP, and partially meeting academic requirement for CEng
MEng
This course is accredited by the British Computer Society (The Chartered Institute for IT), fully meeting the educational requirement for CITP and CEng.
Meet Jamie Legg, Computer Science graduate
Jamie turned his love of practical learning into a successful placement year, which opened up great career opportunities.
Contact information
Contact AdmissionsEntry requirements
BSc (Hons) entry requirements
Typical offers
- UCAS points - 112-120 points from 2 or 3 A levels, or equivalent, to include a relevant subject. (calculate your UCAS points)
- A levels - BBB-BBC, to include a relevant subject.
Relevant subjects: Mathematics; Further Mathematics; Statistics; Computer Science; Software Systems Development; Electronics; Physics; Information Technology; Economics. - T-levels - Merit
Acceptable T Level Subjects: T Level in Digital: Digital Production, Design and Development, T Level in Construction: Design, Surveying and Planning, T Level in Digital Business Services, T Level in Digital Support and Services, T Level in Science, T Level in Engineering and Manufacturing Design and Development, T Level in Maintenance, Installation and Repair for Engineering and Manufacturing, T Level in Engineering, Manufacturing, Processing and Control - BTECs (Extended Diplomas) - DDM-DMM
- International Baccalaureate - 29
You may need to have studied specific subjects – find full entry requirements and other qualifications we accept at UCAS.
English language requirements
- English language proficiency at a minimum of IELTS band 6.0 with no component score below 5.5.
See alternative English language qualifications
We also accept other standard English tests and qualifications, as long as they meet the minimum requirements of your course.
If you don't meet the English language requirements yet, you can achieve the level you need by successfully completing a pre-sessional English programme before you start your course.
If you don't meet the entry requirements, you may be able to join this course after you successfully complete a foundation year.
MEng entry requirements
Typical offers
- UCAS points - 120-128 points from 2 or 3 A levels, or equivalent, to include a relevant subject. (calculate your UCAS points)
- A levels - ABB-BBB, to include a relevant subject.
Relevant subjects: Mathematics; Further Mathematics; Statistics; Computer Science; Software Systems Development; Electronics; Physics; Information Technology; Economics. - T-levels - Merit
Acceptable T Level Subjects: T Level in Digital: Digital Production, Design and Development, T Level in Construction: Design, Surveying and Planning, T Level in Digital Business Services, T Level in Digital Support and Services, T Level in Science, T Level in Engineering and Manufacturing Design and Development, T Level in Maintenance, Installation and Repair for Engineering and Manufacturing, T Level in Engineering, Manufacturing, Processing and Control - BTECs (Extended Diplomas) - DDM
- International Baccalaureate - 29-30
You may need to have studied specific subjects – find full entry requirements and other qualifications we accept at UCAS.
English language requirements
- English language proficiency at a minimum of IELTS band 6.0 with no component score below 5.5.
See alternative English language qualifications
We also accept other standard English tests and qualifications, as long as they meet the minimum requirements of your course.
If you don't meet the English language requirements yet, you can achieve the level you need by successfully completing a pre-sessional English programme before you start your course.
We look at more than just your grades
While we consider your grades when making an offer, we also carefully look at your circumstances and other factors to assess your potential. These include whether you live and work in the region and your personal and family circumstances which we assess using established data.
Facilities
Cyber Security and Digital Forensics Laboratory
Learn how to secure and analyse data in our professionally equipped digital forensics facilities. Find out how real investigators tackle cyber crime and get practical cybersecurity experience.
System Administration and Networking Suite
Our System Administration and Networking Suite provides an environment for large-scale network simulation experiments.
Device loans library
Find out more about the equipment available for our students to borrow from our device loans library – from smart watches to Raspberry Pi devices.
Careers and opportunities
More than 40,000 'open' roles advertised in August 2022 asked for related computer science skills and qualifications.
The skills you get on this Computer Science course will set you up for a career implementing the latest computer science concepts in innovative global companies. You'll also be suited to a career in academic or industrial research.
Graduate destinations
Our graduates have worked for companies such as:
- BAE Systems
- Aviva
- Capita
- NHS
- Penningtons Manches Cooper
- Honeywell / Trend Controls
- MASS
- DQ Global
- Servicenow
What jobs can you do with a computer science degree?
Roles you could go onto include:
- applications engineer
- data analyst
- systems analyst and developer
- information security analyst
- artificial intelligence and machine learning engineer
- research and development (R&D) scientist
You could also become a qualified teacher by taking the Initial Teacher Training (ITT) pathway – you'll save an extra year of study and get a £9,000 bursary.
Ongoing career support – up to 5 years after you graduate
Get experience while you study, with support to find part-time jobs, volunteering opportunities, and work experience.
Towards the end of your degree and for up to five years after graduation, you’ll receive one-to-one support from our Graduate Recruitment Consultancy to help you find your perfect role.
Computer Science graduate, Ben Spring, launches cyber security platform with over 600,000 global users
"We wanted to make the users’ learning journey as accessible as possible and felt that 'gamification'... was really important to make the platform more engaging and effective."
Placement year opportunities
Taking an optional placement year gives you the experience you need to increase your chances of landing your perfect role after graduation. You could work in a paid role in a professional organisation or set up your own business, giving you the chance to grow your professional network and enhance your CV.
We'll give you all the support you need to find a placement that prepares you for your career, and we'll continue to mentor you throughout your placement.
You could also choose to set up your own business, or take a voluntary placement.
Potential roles
Previous students have been successful in roles such as:
- mobile developer/cross platform developer (Flutter)
- project management intern (mobile apps)
- DevOps
- software developer
- junior software tester
Potential destinations
They've worked at exciting companies, including:
- ONS
- IBM
- BAE Systems
- Pepsico
- Industrial Light and Magic
Sam's placement experience took him to pharmaceutical giant Eli Lilly
"My placement transformed my final year... Seeing the work and the world that I could be a part of was pretty motivational. I knew that coming to Portsmouth University would change the way that I work with things. But I didn’t think it would make as massive a difference as it did."
Modules
Each module on this course is worth a certain number of credits.
In each year, you need to study modules worth a total of 120 credits. For example, four modules worth 20 credits and one module worth 40 credits.
What you'll study
Core modules
You'll explore the development and function of CPUs and operating systems, understand the mathematical basis of technical computing, and develop your knowledge of decision logic.
You'll dig into the history and current trends of web design, cyber security, usability, and a further topic specific to your choice of degree. When you complete the module, you'll have the intellectual springboard to excel in the next years of your degree.
You'll simplify complex information, using the concepts of normalisation theory, then apply accurate SQL queries that can deliver the information in intuitive formats. You'll complete this module able to develop and operate industry-standard databases to meet specific business briefs.
In this module you'll study the protocols, topologies and security systems that go into global data transfer. Through lectures and practical lab sessions you'll master networking terminology, professional standards, and put your understanding to work in Windows and Linux operating systems.
You'll learn algorithm development, object-oriented programming, and how to compare these approaches. You'll also design and implement programs to meet given specifications, using Python and Dart, with the guidance and support to ground your further computing study.
Core modules
You'll cover object-oriented polymorphism, exception handling, event-driven programming and user interface development in one stream of your study. In the other, you'll look at language evaluation, syntax specification, compilation, and abstraction mechanisms.
In this module, you'll study the problems of scale in software systems, and the industry's solutions to those issues. You'll then work in a team to develop a medium-sized software application, review each other's work, and engage in the thoughtful and reflective discussions that inform the professional software engineering process.
You'll learn how choosing the right structure impacts the efficiency of algorithms. Through coding exercises, you'll construct data structures from scratch and see first-hand how they enable solving complex problems. You'll review different implementation options and analyse the tradeoffs in memory usage, speed, simplicity, and more. By the end, you'll have developed core skills for designing optimized data structures tailored to algorithm needs. The module builds a strong foundation for writing efficient, scalable code that handles real-world data.
You'll study concurrency and communication in current processors, analyse advanced computer architectures and explore modern routing protocols in this module. As you dig into the foundational mechanisms of digital technologies, you'll learn to identify their principles and limitations, and to work with them directly through a system level programming language.
In this module, you'll learn to design, write and test in a functional programming language, and grasp the concepts that underpin it. You'll apply proof techniques and logic to verify solutions, use graph algorithms, and understand the use of mathematical notation for modern computer science.
Optional modules
You'll apply modeling, texturing and lighting skills as you learn the algorithms rendering each scene, and optimise your projects for real-time interactivity and visual fidelity. On completion, you'll be ready to apply your skills to areas such as medical imaging, autonomous transport UIs and smart city simulations.
You'll approach problems using classical and modern technology, using contemporary platforms, and evaluate current and emerging issues in the field.
This module provides hands-on experience mentoring computing teachers and students in local schools. Spend 5-6 days immersed in a classroom environment, assisting with lessons, special projects, and illuminating possible careers. You'll need to be adaptable, creative, and passionate about sharing knowledge. This opportunity allows you to apply computational thinking in a practical setting, developing leadership, communication and pedagogical skills. Gain insights into teaching while challenging yourself.
You'll learn to cut through complexity in your data, using software like R and Anaconda, to present useful metrics in the dashboards and reports that influence management decisions.
Master an ethical hacker's mindset and toolkits to spotlight vulnerabilities before threats do. Evaluate insider threats, footprinting networks, exploiting, pivoting - and recommend defences to make systems watertight. Multiply your career options with high-demand penetration testing skills spanning web apps, networks, embedded devices and humans themselves.
In this module, you'll first synthesise a safety-critical system, then explore cryptographic techniques and attack vectors it could be vulnerable to. You'll use your vulnerability analysis to close weaknesses, and get ready to work in hostile digital environments.
In this module, you'll study industry theory and best practice, before using your knowledge to create a dynamic web application to meet client specifications. As you build your app, you'll gain experience with client-side and server-side programming, and API integrations.
Core modules
On this module, you'll integrate technical knowledge with project skills - proposing and implementing solutions that address real industry challenges.
Your key activities span literature analysis, design, prototyping, testing, and critical evaluation against project objectives. Adhering to legal, ethical and professional standards, you'll produce high-quality artefacts and written reports that showcase your readiness for workplace application or postgraduate research.
You'll study formal models like automata and Turing machines, plus topics including decidability, computability, complexity theory, and NP-completeness. You'll learn to categorize problems based on their inherent difficulty, develop approaches for tackling intractable problems, and identify tasks that computers cannot do.
Using case studies, you'll examine new and emerging designs in distributed systems, and consider access control techniques for security. You'll also analyse the impact of attacks on systems and data, and look at current research issues in digital ecosystems.
Optional modules
Through group projects, you'll research and critique topics including wireless/mobile networks, network security, error control, and performance optimizations. You'll evaluate technologies like the Internet of Things, configure networks, analyse performance, and simulate solutions for real-world scenarios.
You'll examine the philosophy of AI, its methods of representing knowledge, and what this implies about the nature of learning. You'll also apply and evaluate different AI approaches in different situations, covering neural networks, fuzzy logic and genetic algorithms.
You'll work in a team to analyse the issues, engage closely with the client to match your understanding to their needs, and bring your fresh insights to their problem. By the end, you'll have a Minimum Viable Product (MVP) to propose to your client, and demonstrable evidence of using team-based approaches to complex industry issues.
You'll gain fluency developing 3D graphics for emerging web frameworks, alongside use of computer vision tools and techniques for facial recognition and object tracking. When you complete the module, you'll be able to bring vision and graphics together to solve real world challenges.
In this industry-focused module, you'll evaluate multiple project management methods, their application to IT projects, and associated soft skills - from communication and risk planning to team leadership. You'll cover concepts, tools and techniques employed across the project management lifecycle.
You'll model and query cloud data warehouses, identify statistical outliers and patterns, and develop visually engaging reports that provide management recommendations.
In this future-focused module, you'll look at the effects of innovative technology in enterprise, the contexts in which advances are created, and frameworks for understanding future developments. You'll also prepare for your early career development as you appraise the current IT employment landscape.
Examine embedded systems and sensors powering smart watches, homes, cities and more. Evaluate networking protocols and data analytics techniques to realize value from machine information. Develop IoT applications while considering security, interfaces and human needs. With the ability to blend hardware, software and cloud services, you’ll be at the forefront as IoT transforms business and society.
You'll examine security devices and systems, and high-profile breaches, to understand the constantly evolving threat landscape and its far-reaching impacts. Upon completion, you'll be set to evaluate and recommend security systems to future-proof organizations against emerging cyber-attacks.
You'll work with real robotic systems as you implement practical programming skills, alongside study of various approaches to robot sensing and control systems. Through guest lectures, theoretical learning and practical challenges, you'll develop specialised knowledge of this rapidly developing field.
Core modules
On this module, you'll integrate technical knowledge with project skills - proposing and implementing solutions that address real industry challenges.
Your key activities span literature analysis, design, prototyping, testing, and critical evaluation against project objectives. Adhering to legal, ethical and professional standards, you'll produce high-quality artefacts and written reports that showcase your readiness for workplace application or postgraduate research.
You'll study formal models like automata and Turing machines, plus topics including decidability, computability, complexity theory, and NP-completeness. You'll learn to categorize problems based on their inherent difficulty, develop approaches for tackling intractable problems, and identify tasks that computers cannot do.
Using case studies, you'll examine new and emerging designs in distributed systems, and consider access control techniques for security. You'll also analyse the impact of attacks on systems and data, and look at current research issues in digital ecosystems.
Optional modules
Through group projects, you'll research and critique topics including wireless/mobile networks, network security, error control, and performance optimizations. You'll evaluate technologies like the Internet of Things, configure networks, analyse performance, and simulate solutions for real-world scenarios.
You'll examine the philosophy of AI, its methods of representing knowledge, and what this implies about the nature of learning. You'll also apply and evaluate different AI approaches in different situations, covering neural networks, fuzzy logic and genetic algorithms.
You'll work in a team to analyse the issues, engage closely with the client to match your understanding to their needs, and bring your fresh insights to their problem. By the end, you'll have a Minimum Viable Product (MVP) to propose to your client, and demonstrable evidence of using team-based approaches to complex industry issues.
You'll gain fluency developing 3D graphics for emerging web frameworks, alongside use of computer vision tools and techniques for facial recognition and object tracking. When you complete the module, you'll be able to bring vision and graphics together to solve real world challenges.
In this industry-focused module, you'll evaluate multiple project management methods, their application to IT projects, and associated soft skills - from communication and risk planning to team leadership. You'll cover concepts, tools and techniques employed across the project management lifecycle.
You'll model and query cloud data warehouses, identify statistical outliers and patterns, and develop visually engaging reports that provide management recommendations.
In this future-focused module, you'll look at the effects of innovative technology in enterprise, the contexts in which advances are created, and frameworks for understanding future developments. You'll also prepare for your early career development as you appraise the current IT employment landscape.
Examine embedded systems and sensors powering smart watches, homes, cities and more. Evaluate networking protocols and data analytics techniques to realize value from machine information. Develop IoT applications while considering security, interfaces and human needs. With the ability to blend hardware, software and cloud services, you’ll be at the forefront as IoT transforms business and society.
You'll examine security devices and systems, and high-profile breaches, to understand the constantly evolving threat landscape and its far-reaching impacts. Upon completion, you'll be set to evaluate and recommend security systems to future-proof organizations against emerging cyber-attacks.
You'll work with real robotic systems as you implement practical programming skills, alongside study of various approaches to robot sensing and control systems. Through guest lectures, theoretical learning and practical challenges, you'll develop specialised knowledge of this rapidly developing field.
On this module, you'll take up a teaching placement in a school, and study the theory and practice of teaching. It's part of the Initial Teacher Training route for this course, and you'll need to have done the Computing Undergraduate Ambassador module to take this one.
In this module, you'll design, model and implement cloud data warehouses to empower decision-making. As you gain experience with predictive mining tools like regression, neural networks and clustering, you'll also learn to communicate clearly with data owners, learning how to present visualisations of your results or to describe the information that different mining techniques could deliver.
Core modules
Work closely with an external client to build an industry-standard computing solution. Apply a wide range of technical and soft skills - from programming expertise to communication, time management and teamwork. Manage objectives, divide responsibilities, assess risks and pivot when needed, using agile project management frameworks. Deliver a polished application along with client presentations. This end-to-end experience will showcase your ability to collaborate and develop products that meet business needs.
Applying advanced techniques like semantic analysis and clustering algorithms, you will uncover hidden patterns across text, speech and multimedia to solve real-world challenges.
You'll explore multi-core CPUs, GPUs and national lab supercomputers, as you learn how parallel programming techniques interact with processor architectures. You'll identify which computational tasks parallel programming is appropriate for, estimate the improvements parallelism will bring, and deliver effective parallel programs that operate on the architectures available to you.
Using mathematical and heuristic techniques such as adversarial learning, genetic algorithms and advanced reasoners, you'll explore unreliable data sources and manage uncertainty. You'll learn to select appropriate machine learning tools for business demands and deliver optimized, trustworthy AI solutions.
In this module, you'll explore and implement methods for simulating complicated systems. After looking at existing software platforms, available algorithms, and the use of high performance computers, you'll learn to build your chosen simulation. Depending on the needs of your simulation, you might learn formal mathematics, Monte Carlo methods or Fourier analysis - but throughout, you'll focus on visual results over pure numbers.
On this course, you can do an optional study abroad or work placement year between your 2nd and 3rd years, or after your third year, to get valuable experience working in industry.
We’ll help you secure a work placement that fits your situation and ambitions. You’ll get mentoring and support throughout the year.
Changes to course content
We use the best and most current research and professional practice alongside feedback from our students to make sure course content is relevant to your future career or further studies.
Therefore, some course content may change over time to reflect changes in the discipline or industry. If a module doesn't run, we'll let you know as soon as possible and help you choose an alternative module.
I chose to study computer science at Portsmouth because the University is well known for its high teaching standards, modern facilities and diverse culture. Applying as an international student, I was confident settling in would be pretty easy.
Teaching
Teaching methods on this course include:
- lectures
- tutorials
- laboratory work
- project work
How you're assessed
You’ll be assessed through:
- multiple choice tests
- in-class exercises
- written exams
- mini projects
- presentations
- written reports
- review articles
You’ll be able to test your skills and knowledge informally before you do assessments that count towards your final mark.
You can get feedback on all practice and formal assessments so you can improve in the future.
How you'll spend your time
One of the main differences between school or college and university is how much control you have over your learning.
We use a blended learning approach to teaching, which means you’ll take part in both face-to-face and online activities during your studies. As well as attending your timetabled classes you'll study independently in your free time, supported by staff and our virtual learning environment, Moodle.
A typical week
We recommend you spend at least 35 hours a week studying for your degree. In your first year, you’ll be in timetabled teaching activities such as lectures, seminars, practical classes and workshops for about 13 hours a week. The rest of the time you’ll do independent study such as research, reading, coursework and project work, alone or in a group with others from your course. You'll probably do more independent study and have less scheduled teaching in years 2 and 3, but this depends on which modules you choose.
Most timetabled teaching takes place during the day, Monday to Friday. Optional field trips may involve evening and weekend teaching or events. There’s usually no teaching on Wednesday afternoons.
Term dates
The academic year runs from September to June. There are breaks at Christmas and Easter.
Supporting you
The amount of timetabled teaching you'll get on your degree might be less than what you're used to at school or college, but you'll also get support via video, phone and face-to-face from teaching and support staff to enhance your learning experience and help you succeed. You can build your personalised network of support from the following people and services:
Types of support
Your personal tutor helps you make the transition to independent study and gives you academic and personal support throughout your time at university.
As well as regular scheduled meetings with your personal tutor, they're also available at set times during the week if you want to chat with them about anything that can't wait until your next meeting.
You'll have help from a team of faculty learning support tutors. They can help you improve and develop your academic skills and support you in any area of your study in one-on-one and group sessions.
They can help you:
- master the mathematics skills you need to excel on your course
- understand engineering principles and how to apply them in any engineering discipline
- solve computing problems relevant to your course
- develop your knowledge of computer programming concepts and methods relevant to your course
- understand and use assignment feedback
All our labs and practical spaces are staffed by qualified laboratory support staff. They’ll support you in scheduled lab sessions and can give you one-to-one help when you do practical research projects.
As well as support from faculty staff and your personal tutor, you can use the University's Academic Skills Unit (ASK).
ASK provides one-to-one support in areas such as:
- academic writing
- note taking
- time management
- critical thinking
- presentation skills
- referencing
- working in groups
- revision, memory and exam techniques
Our online Learning Well mini-course will help you plan for managing the challenges of learning and student life, so you can fulfil your potential and have a great student experience.
You can get personal, emotional and mental health support from our Student Wellbeing Service, in person and online. This includes 1–2–1 support as well as courses and workshops that help you better manage stress, anxiety or depression.
If you require extra support because of a disability or additional learning need our specialist team can help you.
They'll help you to
- discuss and agree on reasonable adjustments
- liaise with other University services and facilities, such as the library
- access specialist study skills and strategies tutors, and assistive technology tutors, on a 1-to-1 basis or in groups
- liaise with external services
Library staff are available in person or by email, phone, or online chat to help you make the most of the University’s library resources. You can also request one-to-one appointments and get support from a librarian who specialises in your subject area.
The library is open 24 hours a day, every day, in term time.
The Maths Cafe offers advice and assistance with mathematical skills in a friendly, informal environment. You can come to our daily drop-in sessions, develop your mathematics skills at a workshop or use our online resources.
If English isn't your first language, you can do one of our English language courses to improve your written and spoken English language skills before starting your degree. Once you're here, you can take part in our free In-Sessional English (ISE) programme to improve your English further.
Costs and funding
Tuition fees
- UK/Channel Islands and Isle of Man students – £9,250 per year (may be subject to annual increase)
- EU students – £9,250 a year (including Transition Scholarship)
- International (non-EU) students – £19,200 per year (subject to annual increase)
Funding your studies
Find out how to fund your studies, including the scholarships and bursaries you could get. You can also find more about tuition fees and living costs, including what your tuition fees cover.
Applying from outside the UK? Find out about funding options for international students.
Additional course costs
These course-related costs aren’t included in the tuition fees. So you’ll need to budget for them when you plan your spending.
Additional costs
Our accommodation section show your accommodation options and highlight how much it costs to live in Portsmouth.
You’ll study up to 6 modules a year. You may have to read several recommended books or textbooks for each module.
You can borrow most of these from the Library. If you buy these, they may cost up to £60 each.
We recommend that you budget £75 a year for photocopying, memory sticks, DVDs and CDs, printing charges, binding and specialist printing.
If your final year includes a major project, there could be cost for transport or accommodation related to your research activities. The amount will depend on the project you choose.
You’ll need to cover additional costs, such as travel costs, if you take an optional placement or placement abroad.
These costs will vary depending on the location and duration of the placement, and can range from £50–£1000.
During your placement year or study abroad year, you’ll be eligible for a discounted rate on your tuition fees. Currently, tuition fees for that year are:
- UK/Channel Islands and Isle of Man students – £1,385 a year (may be subject to annual increase)
- EU students – £1,385 a year, including Transition Scholarship (may be subject to annual increase)
- International students – £2,875 a year (subject to annual increase)
The costs associated with your specific destination will be discussed during your second year, as well as possible sources of additional funding.
Apply
How to apply
To start this course in 2024, apply through UCAS. You'll need:
- the UCAS course code – G400 (BSc) or I100 (MEng)
- our institution code – P80
If you'd prefer to apply directly, use our online application form:
You can also sign up to an Open Day to:
- Tour our campus, facilities and halls of residence
- Speak with lecturers and chat with our students
- Get information about where to live, how to fund your studies and which clubs and societies to join
If you're new to the application process, read our guide on applying for an undergraduate course.
Applying from outside the UK
As an international student you'll apply using the same process as UK students, but you’ll need to consider a few extra things.
You can get an agent to help with your application. Check your country page for details of agents in your region.
Find out what additional information you need in our international students section.
If you don't meet the English language requirements for this course yet, you can achieve the level you need by successfully completing a pre-sessional English programme before you start your course.
Admissions terms and conditions
When you accept an offer to study at the University of Portsmouth, you also agree to abide by our Student Contract (which includes the University's relevant policies, rules and regulations). You should read and consider these before you apply.