Entry tariff:
2025/26 entry: Call 0300 303 8320 to find out if you are eligible for this programme in Clearing
UCAS Code:
G400
G401 (If choosing Foundation Year)
Start date(s):
September 2025
September 2026
Clearing
CLEARING 2025
Be Roehampton
Open for Clearing
Call us on 0300 303 8320Complete our Clearing self-application
Dive into a cutting-edge Computer Science degree designed to prepare you for the fast-paced, ever-evolving world of technology.
Built to the high standards set by the British Computer Society, this course combines hands-on experience in areas like AI, cloud engineering, and software development with collaborative, project-based learning. With a strong emphasis on social ethics and professional skills, you'll graduate with a portfolio that showcases your expertise and sets you ahead.
At Roehampton, you’ll gain with the skills and experience to succeed in this fast-paced, ever-evolving field.
Our course is designed to give you comprehensive technical skills in software development, data science, and emerging technologies. Graduate ready to excel in a range of roles within the software development and broader technology industries. You’ll learn:
- Core Technical Proficiency - Gain specialised software development and computing skills including programming fundamentals, database design, web development, and system architecture. Access widely used industry tools (e.g., Python, Java, Git, cloud platforms, machine learning frameworks) that enable you to design and implement robust software solutions.
- Problem-Solving & Critical Thinking - Learn to solve complex computational problems, acquire systematic analytical thinking through mathematics and algorithms, critically evaluate software designs and critically assess technological solutions using logical reasoning and structured approaches.
- Full-Stack Development Skills - Develop comprehensive software engineering capabilities through hands-on experience in front-end and back-end development, database management, cloud computing, and modern development methodologies including Agile practices and version control.
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- Data Science & AI Integration - Cultivate expertise in artificial intelligence, machine learning, and data engineering, emphasising ethical AI development, data visualisation, and the integration of intelligent systems into real-world applications with professional coding standards.
- Collaboration & Communication - Enhance teamwork skills through collaborative software projects and learn to articulate complex technical concepts clearly to both specialist and non-specialist audiences, supported by professional coaching and industry-standard practices.
- Adaptability & Independent Learning - Foster a mindset of continuous self-development and develop independent learning capabilities to stay current with rapidly evolving technologies, programming languages, and industry methodologies in the fast-changing digital landscape.
- Project Management - Acquire practical skills in planning, managing resources, and delivering successful technology projects using industry-standard methodologies, risk assessment, and professional practice frameworks.
You will graduate not just with knowledge, but with a demonstrable portfolio of projects and the confidence to explore a career in software development, data science, AI, and the broader technology sectors.
Modules
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In this module you will learn key concepts like TCP/IP, DNS, LANs, WANs, and network topologies. Through hands-on labs, you’ll build and secure networks, use command-line tools, and understand how operating systems manage files, programs, and performance in real-world IT environments.
This module teaches you how to solve problems using data and AI. You'll learn to clean and visualise data, build models, and create smart systems using Python. Working in teams, you'll explore how data drives intelligent behaviour while focusing on ethical AI development and professional coding practices.
This module teaches how to build full web apps in teams using real-world tools and Agile methods. You’ll plan, code, test, and launch your project while learning about ethics, security, and teamwork. You’ll also set personal goals and learn from a professional coach on how to work like experts.
This module teaches how to design and model complex software systems. You’ll use Java and diagrams like UML to plan how programs work. By learning object-oriented design and patterns, you’ll build apps with clear structure. You’ll also practise writing reliable code and explaining your designs like a real software engineer.
These are the current planned modules on this course and may be subject to change.
This course offers all students the option of a one-year paid work placement, to boost your employability even further. If you choose this route, you will take the placement following year two of your course, and then return to complete your degree.
Why take a placement?
A placement year is the perfect opportunity to gain valuable work experience, to build on the career skills we will teach you on this degree. The connections you make on the placement will improve your career prospects further, and equip you with the skills you need to secure graduate-level employment.
How we support you
The University's Placement and Work Experience Team are experts at helping you to secure a placement. They will work closely with you from the start, helping you research potential employers, discover placement opportunities, create and pitch your CV, and will coach you to perform well in interviews. We aren't able to guarantee a placement, but our sector-leading advisors will give you the best possible chance of securing one.
Find out more about how we'll support you
We understand that your plans might change once you start your programme. If you decide not to do a placement, you will have the option of completing the three year version of your programme.
Whatever your choice, you will have access to many opportunities for work experience through our Placement and Work Experience Team, and access to face-to-face and 24/7 online careers support.
This module shows how to design, manage, and optimise data pipelines across distributed systems and cloud platforms. You’ll work with real-time and batch data, using tools like containers, orchestration, and data versioning. You’ll also integrate machine learning models and use technologies like Azure, Kafka, Spark, and Delta Lake.
This module prepares you for real-world careers in computing by developing professional skills and technical knowledge. You will build strong research, analysis, and communication skills, and learn how to manage projects, assess risks, and follow industry methods. It brings together everything you have learned to prepare yourself for fast changing digital world.
This advanced module gives you hands-on experience applying AI and machine learning to real data. You'll work in teams using industry tools to build complete projects, create interactive dashboards, and learn ethical AI deployment. The focus is on explainable AI, professional workflows, and preparing for careers in data science.
In this final project, you will choose a topic you care about and create a real solution. You will use everything that you have learned to plan, build, and test your idea—gaining hands-on experience and building a portfolio to show future employers.
These are the current planned modules on this course and may be subject to change.
This course offers a foundation year, which takes place at the beginning of your studies. Studying a foundation year will give you academic and practical experience, and a strong introduction to your subject, ensuring you succeed on your undergraduate degree.
30 credits
You will develop your core academic and integrated English language skills of speaking, listening, reading and writing. You will become familiar with key academic skills and concepts, such as referencing methods and awareness of academic integrity and tone. You will apply these skills and knowledge to both broad topics and also your chosen subject pathway.
Teaching and learning
You will be required to actively engage in on-campus learning for up to 10 hours a week.
You will be taught through a full range of teaching and learning methods, which include lectures, seminars, workshops, discussion groups, group directed tasks and presentations. This will enable you to learn from your peers and tutors in both structured and information settings.
You will be encouraged to think creatively about your approach to learning and discussions with your peers. You will also have access to recordings, resources, links and signposting through Moodle to enrich your learning.
Assessment
You will be assessed through group and individual presentations, comparative and reflective essays, multiple choice exams, coursework and reports, oral exams, portfolios, case studies and blogs.
30 credits
You will develop your core academic and integrated English language skills of speaking, listening, reading and writing. You will become familiar with key academic skills and concepts, such as referencing methods and awareness of academic integrity and tone. You will apply these skills and knowledge to both broad topics and also your chosen subject pathway.
Teaching and Learning
You will be required to actively engage in on-campus learning for up to 10 hours a week.
You will be taught through a full range of teaching and learning methods, which include lectures, seminars, workshops, discussion groups, group directed tasks and presentations. This will enable you to learn from your peers and tutors in both structured and information settings.
You will be encouraged to think creatively about your approach to learning and discussions with your peers. You will also have access to recordings, resources, links and signposting through Moodle to enrich your learning.
Assessment
You will be assessed through group and individual presentations, comparative and reflective essays, multiple choice exams, coursework and reports, oral exams, portfolios, case studies and blogs.
30 credits
You will develop your research, numeracy and information technology skills. You will investigate the difference between primary and secondary research, conduct your own research project and demonstrate your findings through data analysis. You will also develop your awareness of equality, diversion and inclusion in the UK, through a real-world issue; discrimination in the workplace.
Teaching and learning
You will be required to actively engage in on-campus learning for up to 10 hours a week.
You will be taught through a full range of teaching and learning methods, which include lectures, seminars, workshops, discussion groups, group directed tasks and presentations. This will enable you to learn from your peers and tutors in both structured and information settings.
You will be encouraged to think creatively about your approach to learning and discussions with your peers. You will also have access to recordings, resources, links and signposting through Moodle to enrich your learning.
Assessment
You will be assessed through group and individual presentations, comparative and reflective essays, multiple choice exams, coursework and reports, oral exams, portfolios, case studies and blogs.
30 credits
You will be taught about how the use of computing software impacts the environment from day-to-day activity through use of business and everyday jobs. This is through the excessive use of computing software as well as the changing way that society operates. You will be encouraged to engage in debates and discussions regarding energy consumption in the use of computing software, in terms of the amount of use as well as the type of materials utilised. You will be encouraged to look at responsible innovation and software impact and the long-term effects this may have.
You will look at how the increased use of IT and computing has contributed to the significant development of globalisation in the interconnectivity and internationalisation of the job market. Discussions on how globalisation has contributed to the international development of education, technology development and the emerging market economies through operating systems and internet operations. This is also linked to their assignment in the international platform of Linked In in developing their e-portfolio.
Teaching and learning
The teaching delivery for each module consists of one, one-three-hour lecture and one, two-hour lab session each week with pair and group work.
There will also be a 30-minute weekly virtual task and multiple-choice quizzes.
Assessment
This module will be assessed using a multiple-choice test and online portfolio.
40% - multiple choice test, which will take place online during a class.
60% - online portfolio, in this written task you will create a blog post, which reports on an individual data research and processing project. You will also create a LinkedIn profile and subject weekly learning journal entries.
30 credits
This module focuses on how to solve problems via program development. The module initially builds your understanding of logic, before teaching you how to develop algorithms. The latter half of the module focuses on programming using a Visual Programming Language (VPL) such as Android App Inventor or Google’s Blockly. The module ends with a discussion on the limits of computation, including data representation and physical limitations.
You will be taught about how the use of computing software impacts the environment from day-to-day activity through use of business and everyday jobs. This is through the excessive use of computing software as well as the changing way that society operates. You will be encouraged to engage in debates and discussions regarding energy consumption in the use of computing software, in terms of amount of use as well as type of materials utilised. You will look at responsible innovation and software impact and the long-term effects this may have.
The module explores how advancements in computing and IT have accelerated globalisation by enhancing interconnectivity, transforming industries, and expanding access to information. You will examine the role of computational thinking and problem-solving in a global context, including the impact of software development, and automation on international markets. Discussions will focus on how programming and algorithm design contribute to technological advancements, remote collaboration, and the evolving global job market. Additionally, you will be able to engage with international computing standards and digital platforms, such as LinkedIn, to develop your profile and understand the significance of global networking in the technology sector.
Teaching and learning
The teaching delivery for each module consists of one, one-three-hour lecture and one, two-hour lab session each week with pair and group work.
There will also be a 30-minute weekly virtual task and multiple-choice quizzes.
Assessment
This module will be assessed using programming coursework and a class test.
60% - coursework, you will design a simple algorithm to solve a problem using flowcharts and pseudocode.
40% - class test, you will construct a program to solve using a Visual Programming Language.
These are the current planned modules on this course and may be subject to change.
Careers
You’ll graduate ready for a career in software development and the broader technology industry.
This programme is designed to address critical skills shortages and the future of the tech industry, empowering you to progress in your future.
You'll gain industry-aligned skills for roles such as:
- Software engineer
- Data scientist
- Information security developer
- DevOps engineer
- Machine learning engineer
- Data engineer
- System analyst
Top 3 modern university in London
(Complete University Guide 2025)
The Student Futures team is here to support you throughout your time at Roehampton and beyond.
They offer services tailored to your needs, helping you take confident steps towards your future.
You’ll have access to a wide range of career workshops and events, where you can engage with employers and develop the skills you need to succeed in the workplace.
These opportunities will help you build your CV, prepare for interviews, and connect with successful Roehampton graduates who are thriving in their careers. You’ll also be able to engage with our partners across London and beyond.
Wherever you want to go in the future, you'll be preparing for the world of work from your very first day.
"The facilities at Roehampton are outstanding. The library is my favourite go-to study spot. It’s calming and inspiring, with plenty of spaces for students to focus. On days when I need to write code, I head to the labs in David Bell, which are well-equipped for hands-on learning."
Morteza, Computer Science Student
Learning and Assessment
We believe in learning by doing.
You'll work individually and with others to tackle real-world technology challenges and take part in interactive activities that bring learning to life. Your assessments are designed to reflect tasks you’ll encounter in the software industry, helping you develop the skills you need to succeed after graduation.
Your lecturers will be subject specialists and industry-experienced professionals who bring cutting-edge research and real-world insights directly into your learning experience. This approach ensures you're not just learning theory, but building the practical skills and critical thinking needed for a successful career.
#8 in England for undergraduate student satisfaction
National Student Survey 2024
How You’ll Learn
You’ll engage in a variety of learning styles designed to prepare you for the real world of technology:
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Workshop-centred learning: You’ll take part in practical, hands-on workshops rather than traditional lectures, encouraging active participation and skill development.
- Project-based learning: You’ll apply your skills to real-world scenarios, working on projects that reflect the challenges faced in the tech industry. These experiences build confidence and prepare you for professional roles.
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Collaborative learning: You’ll work in teams to solve real-world technology challenges, developing teamwork, communication, and project management skills.
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Competency-based learning: This approach allows you to master key technical skills at your own pace, focusing on what you can do—not just what you know. You’ll progress by demonstrating real abilities through practical tasks, projects, and assessments aligned with industry expectations.
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Industry-standard tools and facilities: You’ll work with a range of professional tools and environments, including programming languages like Python, Java, and C++, as well as IDEs such as Visual Studio Code, Jupyter Notebook, IntelliJ IDEA, and CodeGrade. For machine learning and AI, you'll use platforms like TensorFlow, Keras, and PyTorch, and for data engineering, tools such as Apache Spark, Hadoop, and SQL/NoSQL databases. You’ll also gain experience deploying and testing your applications using cloud platforms like Microsoft Azure.
In addition, you’ll have access to high-performance computing labs, virtual labs, and collaborative workspaces, giving you the flexibility to work on individual or group projects in real-world settings—on campus or remotely.
- Personalised supported lab activities: You’ll benefit from technical lab sessions tailored to your learning needs, with teaching teams on hand to support you as you explore tools and techniques at your own pace.
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Flexible learning: You’ll have access to videos, online resources, and interactive quizzes ahead of time, allowing you to engage with content at your own pace and come to workshops ready to apply what you’ve learned.
This blended approach ensures you build strong, industry-ready technical skills while collaborating closely with your lecturers and peers in a dynamic, supportive learning environment.
How You’ll Be Assessed
You’ll complete authentic assessments designed to mirror the real-world tasks computer science professionals face. Your projects, exercises, and assignments will give you hands-on experience, preparing you fully for your career after graduation.
Your assessments will include:
- Practical assignments: Hands-on assessments where you will solve problems under real-world conditions - testing your ability to think critically and act decisively.
- Lab activity-based coursework: Coursework based on lab activities where you are required to apply tools and techniques learned in class, followed by analysis and reflection to show your understanding of principles in action.
- Analysis and writing reports: You will investigate issues and communicate your findings through structured reports, developing your ability to analyse data, evaluate risks, and present professional-level documentation.
- Real-world based coursework: These assessments are grounded in real-world scenarios, asking you to solve practical problems that aim to mirror the challenges faced by professionals in the field.
- Gamified assessments: Interactive assessments will test your problem solving and technical skills in a fun, engaging environment using game style challenges to make learning exciting.
- Project-based assessments: Through these assessments, including a capstone final year project you will apply your knowledge to real-world problems, designing and delivering solutions that showcase your technical skills, creativity and readiness for professional practice.
- Group work assessment: In group-based assessments, you will collaborate to simulate real work environments while individually demonstrating key competencies, ensuring you build both teamwork and technical skills aligned with industry expectations.
Cutting-edge facilities in the Sir David Bell building
We offer six dedicated computing labs on campus, each equipped with specialised facilities, including a dedicated cyber security lab.
All the software necessary for your studies is freely available, allowing you to work conveniently from anywhere and at any time using your personal device.
Open days
Get a real taste of our campus, community and what it’s like to study at Roehampton
Applying
Full-time UK undergraduate students apply through UCAS.
Course subject to curriculum enhancement and revalidation.
Entry tariff
2025/26 entry: Call 0300 303 8320 to find out if you are eligible for this programme in Clearing
Looking to work out your UCAS points or find out about our entry requirements? Find out more.
When we consider applications to study with us, we form a complete view of your achievements to date, and future potential, and can offer flexibility in entry requirements. Find out more about our Contextual Offer scheme.
We welcome applicants with a wide range of qualifications, including BTECs, A-levels and T Levels.
Specific entry requirements
Entry to this course normally requires a Mathematics, Computer Science, or another science/technology based subject at A Level (or equivalent).
General entry requirements
September 2025 entry tuition fees
UK (home) tuition fees
Undergraduate degree: £9,535
Foundation Year: £9,535
We offer a wide range of scholarships and bursaries. See our financial support pages for UK students.
We also provide other ways to support the cost of living, including free buses and on-campus car parking, hardship support and some of the most affordable student accommodation and catering in London. Find out more about how we can support you.
International undergraduate students apply through our direct application system.
Course subject to curriculum enhancement and revalidation.
Entry tariff
2025/26 entry: Call 0300 303 8320 to find out if you are eligible for this programme in Clearing
Looking to work out your UCAS points or find out about our entry requirements? Find out more.
When we consider applications to study with us, we form a complete view of your achievements to date, and future potential, and can offer flexibility in entry requirements. Find out more about our Contextual Offer scheme.
Specific entry requirements
Entry to this course normally requires a Mathematics, Computer Science, or another science/technology based subject at A Level (or equivalent).
General entry requirements
September 2025 entry tuition fees
EU and international tuition fees
Undergraduate degree: £16,950
Foundation Year: £16,950
International Foundation Pathway: £16,950
We offer a wide range of scholarships and bursaries. See our financial support pages for international students.
We also provide other ways to support the cost of living, including free buses and on-campus car parking, hardship support and some of the most affordable student accommodation and catering in London. Find out more about how we can support you.
Need help or advice before applying?
Arts, Humanities and Social Sciences
Integrating the creative dynamism of arts and digital industries with the deep-rooted traditions of humanities and social sciences.
