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starting May 2026
G399
96-104 UCAS points from 2 or 3 A levels, or equivalent, to include a relevant subject
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Study BSc (Hons) Computer Science at University of Portsmouth London, a TEF Gold-rated University*, located in the vibrant and well-connected borough of Walthamstow.
This degree gives you a strong foundation in the core principles of computing, from programming and algorithms to computer systems, networks and databases. You’ll explore how software is designed, how systems communicate, and how modern technologies power organisations and society.
Through practical learning, you’ll develop hands-on experience building software applications, designing databases, and working with web and mobile technologies. You’ll also explore areas such as artificial intelligence, cybersecurity, distributed systems and the Internet of Things, gaining insight into how emerging technologies are shaping the future.
In your final year, you’ll complete an independent project focused on a real-world computing challenge. Graduates can pursue careers in software development, systems design, data and technology consulting across a wide range of industries.
*Times Higher Education Young University Rankings 2024
Located just a minute’s walk from Walthamstow’s tube and bus stations, our campus provides easy access to the entire city, placing you at the centre of London’s dynamic business scene.
Open Days at the London campus vary to those held in Portsmouth.
London Campus Enquiries: london@port.ac.uk
You may need to have studied specific subjects or GCSEs - see full entry requirements and other qualifications we accept.
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.
You may need to have studied specific subjects or GCSEs - see full entry requirements and other qualifications we accept.
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.
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.
In addition to meeting the course's entry requirements, we’re looking for good writing, IT and analytical skills.
You'll get the most out of this computer science degree if you're adaptable, curious, and proactive. You should actively engage in your learning and be committed to honing your professional skills. Skills in problem solving, critical thinking, and presentation are helpful to have, but we'll support you in developing these skills as you learn.
London is a key city in UK computer science jobs; it’s a UK home to giants like Apple and Google, and to start-ups like Revolut and Deliveroo.
On this computer science course, you’ll be learning the concepts and approaches that such innovative companies build their successes on, both on the technical side and their business application.
You’ll graduate with the knowledge and skills demanded by the global tech sector. You could also choose to set up your own business, or take a voluntary placement. Typical sectors include technology and software development, finance and fintech, healthcare and health tech, retail and e-commerce, consulting and professional services, and government and public sector.
Computer science graduates of the university have taken up jobs with companies such as:
"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."
Please make sure to select the correct study mode and duration for your month of entry.
These modules are for students starting their course in May 2026 only.
Please make sure to select the correct study mode and duration for your month of entry.
Each topic will be covered over a six week block, knowledge gained will be applied during several later modules and, depending on your degree programme, will be developed further. An exploration of the history, major advances and trends in computing are discussed to give you a context for subsequent study. Foundations of computer system usability and cyber security are covered during the next two blocks. The final block introduces a technology that is specific to the your degree course, but which is not covered in a dedicated module elsewhere at level 4.
You will explore c urrent and legacy technologies together with the protocols used for developing and managing computer networks. You will have the opportunity to gain hands-on experience during practical lab sessions that will encompass both Windows and Linux based operating systems.
This module emphasises the logical and theoretical concepts upon which computing systems are physically constructed. Within this module the underpinning decision logic of computer systems is developed alongside an understanding of operating systems and an examination of the use of algorithms in operating system software.
You will be given ample opportunities to practise developing databases using Crow's Foot Entity Relationship Diagrams (ERDs) and SQL, tools that are crucial in the creation of databases. You will also learn about the concept of normalisation theory, a key principle in simplifying complex information into manageable data. You will learn to craft accurate SQL queries to extract the necessary data and information, a critical skill that allows businesses to generate actionable insights from their data. By the end of this module, you will not only be proficient in creating databases but will also be capable of operating them to meet business requirements.
The module provides you with guidance and support to enable you to increase your knowledge and skills in programming irrespective of your starting point. Techniques of program design are taught alongside the Python programming language. You'll learn how to break problems into logical steps and write programs using practical coding skills and industry-standard programming languages, building confidence through regular hands-on activities.
You will learn about the concepts of object-oriented programming and graphical user interface (GUI) construction alongside the Python programming language. You'll create, test, and refine programs, developing an understanding of how components work together in larger applications and how to improve program design.
You’ll explore how computer systems operate, examining hardware components, processor architectures, and the way these elements work together to run programs and manage tasks.
You’ll also investigate key operating system functions, including process management, memory management, and file systems. This will help you understand how the system coordinates resources and keeps everything running smoothly.
A major part of this module is learning to write low‑level programs using assembly language. You’ll create simple system‑level programs and see how software interacts directly with hardware and system resources.
This module will see you learn structured approaches to software development, including requirements analysis, design methods, implementation techniques, and testing strategies. These skills will guide you as you design, build, and deploy relational databases that meet real user and organisational needs.
You'll develop professional practices such as version control, clear documentation, and Agile ways of working. As you create functional databases, you’ll learn how to apply appropriate security measures and access controls to protect data effectively.
You'll create database schemas, identify security threats and apply safeguards, use established software development and quality assurance techniques, and understand how software engineering principles guide the entire process of database creation.
You’ll explore the principles and architectures behind distributed computing, examining how systems communicate, coordinate, and stay reliable across multiple locations. Alongside this, you’ll look at the protocols and integration techniques that allow IoT devices to share data and operate seamlessly.
This module builds your confidence in analysing how distributed and IoT environments behave, helping you understand performance, scalability, and the factors that shape system behaviour in real settings.
You’ll also investigate different approaches to designing and implementing distributed and IoT solutions, combining technical insight with practical reasoning.
This module explores the software development lifecycle and learn how to gather requirements through effective stakeholder engagement. These skills help you understand what users expect and how to translate those expectations into practical features.
You'll develop your capabilities in front‑end development and responsive design, giving you hands‑on experience in building interfaces that adapt well across devices.
You’ll also examine software development best practice, including code quality, maintainability, testing methodologies, and essential security principles that help keep applications reliable and safe to use.
This module introduces you to the key concept that underpin AI and machine learning. You’ll learn how different approaches support different types of intelligent behaviour.
You'll gain hands‑on experience in building and training machine learning models from scratch. You’ll work with essential programming components, experiment with neural network architectures, and learn how core building blocks come together to create functional AI systems.
This module introduces you to the core principles that underpin cybersecurity in modern computing environments.
You'll look at threat analysis, risk assessment, and build an understanding of how attackers think and how defenders respond.
Through hands‑on activities, you’ll apply cyber governance frameworks and industry standards to create evidence‑based security solutions that support real organisational needs.
You’ll examine essential cybersecurity concepts to design effective mitigation strategies, and assess governance frameworks for application in professional security practice.
This module gives you the space to demonstrate what you can achieve when you take full ownership of a significant piece of work, from identifying a topic to presenting your final outcomes.
You’ll begin by defining a clear problem or question and examining its feasibility. This involves exploring the wider context, understanding the needs and expectations of relevant stakeholders and clarifying the objectives of your proposed project. You’ll develop a plan that sets out the methods you’ll use, supported by a careful consideration of ethical responsibilities.
Through guided workshops, you’ll explore each stage of the project process, looking at research design, data collection, analysis and project organisation.
You'll also explore how appropriate technologies and research methods can support your investigation. You'll work with a supervisor to provide you with specialist guidance as you refine your approach and move towards producing your final output.
Your project may take the form of a written investigation, practical solution, digital artefact, or another approved format, but all projects must include evidence‑based conclusions or recommendations.
Alongside this hands-on element, you'll present your findings to different audiences and explain their significance or potential impact. These reflections will enhance your communication skills to support your future professional ambitions.
Through practical workshops and collaborative activities, you’ll learn how to communicate clearly, work with others respectfully and make purposeful use of technology in your learning. You’ll explore how to find and evaluate reliable information, use academic sources correctly, and reference your work following university guidelines.
You’ll also reflect on your own strengths, goals and areas for development. This will help you build self-awareness, support your wellbeing and develop as an independent learner.
Assessment includes a portfolio of tasks that demonstrate your developing academic skills where you will communicate your ideas clearly and appropriately. This may include workshop activities, short pieces of writing, or oral presentations.
You’ll learn about common network structures, communication protocols and the principles that allow devices to connect and share information. The module also examines the risks that networks face, including security threats and system vulnerabilities, and how these can be reduced through protective strategies.
You’ll also explore emerging technologies in networking and cybersecurity, and consider how they shape the way organisations and society use computing systems.
Throughout the module, you’ll apply what you learn to practical scenarios. This will help you understand how networking and security concepts can be used to address real-world computing challenges.
This module will provide you with a strong foundation in networking and security that will support your future study in computing.
You’ll explore key programming concepts, including control structures, algorithms and object-oriented programming. You’ll also learn how to choose and use appropriate data structures to solve different computational problems.
As you progress, you’ll develop practical coding skills and gain experience in designing, building and testing applications. This includes working with both console-based programs and graphical user interface (GUI) applications, helping you understand how different types of software are created.
The module focuses on hands-on learning, giving you opportunities to practise writing code and developing your own solutions to programming challenges.
This module will prepare you for more advanced study in software development, algorithm design and specialised areas of computing.
You'll learn how discrete mathematics helps you model and solve real computational problems, and you'll examine formal languages to understand how computers recognise and process information.
You'll also look at core concepts in computation theory, giving you a clearer sense of what computers can and cannot do, and how this affects the way algorithms and systems are designed.
Throughout the module, you'll apply functional programming techniques to describe and analyse dynamic systems, helping you link abstract ideas to practical computing tasks.
This module gives you a strong theoretical foundation to support your future study in computer science where you'll be able to use discrete maths to approach computational problems, describe formal languages and their properties
You’ll explore how computer systems operate, examining hardware components, processor architectures, and the way these elements work together to run programs and manage tasks.
You’ll also investigate key operating system functions, including process management, memory management, and file systems. This will help you understand how the system coordinates resources and keeps everything running smoothly.
A major part of this module is learning to write low‑level programs using assembly language. You’ll create simple system‑level programs and see how software interacts directly with hardware and system resources.
This module will see you learn structured approaches to software development, including requirements analysis, design methods, implementation techniques, and testing strategies. These skills will guide you as you design, build, and deploy relational databases that meet real user and organisational needs.
You'll develop professional practices such as version control, clear documentation, and Agile ways of working. As you create functional databases, you’ll learn how to apply appropriate security measures and access controls to protect data effectively.
You'll create database schemas, identify security threats and apply safeguards, use established software development and quality assurance techniques, and understand how software engineering principles guide the entire process of database creation.
You’ll explore the principles and architectures behind distributed computing, examining how systems communicate, coordinate, and stay reliable across multiple locations. Alongside this, you’ll look at the protocols and integration techniques that allow IoT devices to share data and operate seamlessly.
This module builds your confidence in analysing how distributed and IoT environments behave, helping you understand performance, scalability, and the factors that shape system behaviour in real settings.
You’ll also investigate different approaches to designing and implementing distributed and IoT solutions, combining technical insight with practical reasoning.
This module explores the software development lifecycle and learn how to gather requirements through effective stakeholder engagement. These skills help you understand what users expect and how to translate those expectations into practical features.
You'll develop your capabilities in front‑end development and responsive design, giving you hands‑on experience in building interfaces that adapt well across devices.
You’ll also examine software development best practice, including code quality, maintainability, testing methodologies, and essential security principles that help keep applications reliable and safe to use.
This module introduces you to the key concept that underpin AI and machine learning. You’ll learn how different approaches support different types of intelligent behaviour.
You'll gain hands‑on experience in building and training machine learning models from scratch. You’ll work with essential programming components, experiment with neural network architectures, and learn how core building blocks come together to create functional AI systems.
This module introduces you to the core principles that underpin cybersecurity in modern computing environments.
You'll look at threat analysis, risk assessment, and build an understanding of how attackers think and how defenders respond.
Through hands‑on activities, you’ll apply cyber governance frameworks and industry standards to create evidence‑based security solutions that support real organisational needs.
You’ll examine essential cybersecurity concepts to design effective mitigation strategies, and assess governance frameworks for application in professional security practice.
This module gives you the space to demonstrate what you can achieve when you take full ownership of a significant piece of work, from identifying a topic to presenting your final outcomes.
You’ll begin by defining a clear problem or question and examining its feasibility. This involves exploring the wider context, understanding the needs and expectations of relevant stakeholders and clarifying the objectives of your proposed project. You’ll develop a plan that sets out the methods you’ll use, supported by a careful consideration of ethical responsibilities.
Through guided workshops, you’ll explore each stage of the project process, looking at research design, data collection, analysis and project organisation.
You'll also explore how appropriate technologies and research methods can support your investigation. You'll work with a supervisor to provide you with specialist guidance as you refine your approach and move towards producing your final output.
Your project may take the form of a written investigation, practical solution, digital artefact, or another approved format, but all projects must include evidence‑based conclusions or recommendations.
Alongside this hands-on element, you'll present your findings to different audiences and explain their significance or potential impact. These reflections will enhance your communication skills to support your future professional ambitions.
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. Where significant module changes occur, we'll let you know as soon as possible.
Note from September 2026 the modules on this course have changed.
The course specification below is based on 2025/26 course modules, including May 2026 entry. We'll confirm the 2026 Computer Science course specification here soon.
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.
We recommend you spend at least 35 hours a week studying for this degree. Your timetable typically allows you to work alongside your studies.
A regular week on this course reflects the University of Portsmouth London’s Active Blended Learning approach, which focuses on what you do as a learner rather than passive listening.
You can expect:
To attend 10-12 hours of scheduled teaching activities during term time.
To spend roughly 21 hours per week studying independently (including research, reading, coursework and project work, either individually or a group).
To focus on your research project in the last 3 months of the course.
Our teaching is designed to be personal, practical and flexible, helping you gain the knowledge, confidence and skills employers are looking for.
You’ll study in a supportive learning environment where your lecturers know you, classes are interactive, and your timetable is designed to fit around your life.
Learn in supportive groups where your lecturers know you and you’re encouraged to contribute, ask questions and receive personalised feedback.
Students support one another throughout the course: Those who have completed modules share insights with new students, and as you progress, you’ll take on this role yourself- building confidence and communication skills.
Your schedule stays the same each term.
You will have two study days per week and two consecutive on-campus days, making it easier to plan work, study and personal commitments.
Around 20% of learning is online, providing flexibility and access to learning resources anytime.
80% is on-campus learning, delivered face-to-face in small, interactive groups.
Modules are grouped into related subject areas rather than taught in isolation. This helps you see how ideas connect across your discipline, build knowledge progressively, and apply learning more confidently to complex, real-world problems.
You’ll combine face-to-face learning with online activities and often work with students from other disciplines.
This reflects how professional teams operate and helps you develop industry-relevant skills valued by employers.
Our approach to teaching is designed to be dynamic, practical and closely aligned with real-world practice. You’ll learn through a range of engaging, hands-on experiences that develop both your knowledge and professional skills in a supportive and collaborative environment.
Teaching is delivered through engaging sessions such as:
Industry educators demonstrating true professional practice
Interactive seminars
Immersive simulations
Practical and/or computer-based workshops
Group work and collaborative projects
Practical classes
One-to-one and personalised tutorials
Learning is active, discussion-based and centred on real-world application.
Our teaching is guided by a clear set of principles that shape how learning is designed and delivered:
Learning focuses on what you do, encouraging participation, problem-solving and hands-on application.
Learning is connected to local and global communities, helping you understand the wider impact of your studies.
We are committed to creating a safe, supportive environment where all students can succeed.
Teaching is designed to spark curiosity, confidence and a genuine passion for learning.
We use creative and forward-thinking approaches to keep learning engaging and relevant.
Digital tools are embedded into learning to support collaboration, flexibility and employability.
You’ll be supported by a dedicated teaching team, a personal tutor and student support staff throughout your studies. Small class sizes ensure support is personal, proactive and accessible.
Assessment is varied and designed to reflect real-world practice. We typically have no exams and instead opt for more authentic assessments, with the exception of courses that have external professional body requirements, such as accounting and finance.
Depending on your chosen course, methods may include:
Live client projects
Business simulations
Practical and in-class exercises
Written reports and essays
Oral assessment and presentations
Group and standalone projects
Portfolios
Review articles
Throughout your time at UoP London, you'll get the following support online or face-to-face from our academic skills team to enhance your learning experience and help you succeed:
You'll also have access to a personal tutor to support you in your studies.
You are expected to meet English language entry requirements for your course, as outlined on the relevant course page. However, if English isn't your first language, our academic skills team can support you in working across languages. You can also do our online free In-Sessional English (ISE) module to improve your written English language skills during your degree.
You can find entry requirements for English language proficiency by visiting the relevant course page:
Our dedicated team hosts drop-in sessions every week, providing expert guidance for part-time job searches, CV and cover letter editing, and interview preparation. You can also avail of this service online.
Visit our careers and employment page
We offer a range of support to help students manage their mental health, wellbeing, and any disability-related needs. Our wellbeing team is here to help you navigate challenges and access the right services.
Explore available scholarships and bursaries.
Find out more about fees and funding.
Our accommodation section shows your accommodation options and highlights how much it costs to live in Waltham Forest. You can also visit our fees and funding page for a breakdown of living costs in London.
You may have to read several recommended books or textbooks for each module. We endeavour to make all required books accessible online.
You can also borrow most of these online from the Library. If you buy these, they may cost up to £60 each.
We endeavour to be a paperless and sustainable university. As such, files and content is kept electronically on e-databases where possible. Most academics will print the paperwork if required. If you choose to print, photocopy, or bind your work, you may want to budget up to £30 a year for this.
Assignment submissions and dissertations are electronic.
If your course 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.
To apply directly, use our online application forms:
To start this course in 2026/27, apply through UCAS. You'll need:
If you'd prefer to apply directly, use our online application forms:
You can get an agent to help with your application. Check your country page for details of agents in your region.
To find out what to include in your application, head to the how to apply page of 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.
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.