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Choose a subject
2026/27
2027/28
Undergraduates
Postgraduates
Undergraduates
Postgraduates

Subjects A-B

  • Accounting
  • Acting and Drama
  • Agriculture
  • Ancient History
  • Anthropology
  • Archaeology
  • Architectural Engineering
  • Architecture
  • Art
  • Biochemistry
  • Biological Sciences
  • Biomedical Engineering
  • Biomedical Sciences
  • Bioveterinary Sciences
  • Building and Surveying
  • Business and Management

Subjects C-E

  • Chemistry
  • Classics and Classical Studies
  • Climate Science
  • Computer Science
  • Construction Management
  • Consumer Behaviour and Marketing
  • Creative Writing
  • Criminology
  • Digital Media and Communication
  • Ecology
  • Economics
  • Education
  • Engineering
  • English Language and Applied Linguistics
  • English Literature
  • Environment

Subjects F-G

  • Film & Television
  • Finance
  • Food
  • Foundation programmes
  • French
  • Geography
  • German
  • Global Sustainable Development
  • Graphic Communication and Design

Subjects H-M

  • Healthcare
  • History
  • International Foundation Pathways
  • International Relations
  • Italian
  • Languages and Cultures
  • Law
  • Linguistics
  • Marketing
  • Mathematics
  • Medical Sciences
  • Meteorology and Climate
  • Microbiology
  • Museum Studies

Subjects N-T

  • Nutrition
  • Pharmacology
  • Pharmacy
  • Philosophy
  • Physician Associate Studies
  • Politics and International Relations
  • Psychology
  • Real Estate and Planning
  • Sociology
  • Spanish
  • Speech and Language Therapy
  • Surveying and Construction Management
  • Teaching
  • Theatre & Performance

Subjects U-Z

  • Wildlife Conservation
  • Zoology

Subjects A-C

  • Accounting
  • Agriculture
  • Ancient History
  • Archaeology
  • Architecture
  • Art
  • Artificial Intelligence
  • Biological Sciences
  • Biomedical Sciences
  • Business (Post-Experience)
  • Business and Management (Pre-Experience)
  • Classics
  • Climate Science
  • Computer Science
  • Construction Management and Engineering
  • Consumer Behaviour
  • Creative Enterprise

Subjects D-G

  • Data Science
  • Dietetics
  • Digital Business
  • Ecology
  • Economics
  • Education
  • Energy and Environmental Engineering
  • Engineering
  • English Language and Applied Linguistics
  • English Literature
  • Environmental Sciences
  • Film, Theatre and Television
  • Finance
  • Food and Nutritional Sciences
  • Geography and Environmental Science
  • Graphic Design

Subjects H-P

  • Healthcare
  • History
  • Information Technology
  • International Development and Applied Economics
  • Law
  • Linguistics
  • Management
  • Marketing
  • Meteorology and Climate
  • Microbiology
  • Nutrition
  • Pharmacy
  • Philosophy
  • Physician Associate
  • Politics and International Relations
  • Project Management
  • Psychology
  • Public Policy

Subjects Q-Z

  • Real Estate and Planning
  • Social Policy
  • Speech and Language Therapy
  • Strategic Studies
  • Teacher training
  • Theatre
  • Typography and Graphic Communication
  • War and Peace Studies
  • Zoology

Subjects A-B

  • Accounting
  • Acting and Drama
  • Agriculture
  • Ancient History
  • Anthropology
  • Archaeology
  • Architectural Engineering
  • Architecture
  • Art
  • Biochemistry
  • Biological Sciences
  • Biomedical Engineering
  • Biomedical Sciences
  • Bioveterinary Sciences
  • Building and Surveying
  • Business and Management

Subjects C-E

  • Chemistry
  • Classics and Classical Studies
  • Climate Science
  • Computer Science
  • Construction Management
  • Consumer Behaviour and Marketing
  • Creative Writing
  • Criminology
  • Digital Media and Communication
  • Ecology
  • Economics
  • Education
  • Engineering
  • English Language and Applied Linguistics
  • English Literature
  • Environment

Subjects F-G

  • Film & Television
  • Finance
  • Food
  • Foundation programmes
  • French
  • Geography
  • German
  • Global Sustainable Development
  • Graphic Communication and Design

Subjects H-M

  • Healthcare
  • History
  • International Foundation Pathways
  • International Relations
  • Italian
  • Languages and Cultures
  • Law
  • Linguistics
  • Marketing
  • Mathematics
  • Medical Sciences
  • Meteorology and Climate
  • Microbiology
  • Museum Studies

Subjects N-T

  • Nutrition
  • Pharmacology
  • Pharmacy
  • Philosophy
  • Physician Associate Studies
  • Politics and International Relations
  • Psychology
  • Real Estate and Planning
  • Sociology
  • Spanish
  • Speech and Language Therapy
  • Surveying and Construction Management
  • Teaching
  • Theatre & Performance

Subjects U-Z

  • Wildlife Conservation
  • Zoology

We are in the process of finalising our postgraduate taught courses for 2027/28 entry. In the meantime, you can view our 2026/27 courses.

BSc Computer Science with Artificial Intelligence with Industrial Year (awaiting approval)

  • UCAS code
    TBC
  • A level offer
    ABB
  • Year of entry
    2026/27 See 2027/28 entry
  • Course duration
    Full Time:  4 Years
  • Year of entry
    2026/27 See 2027/28 entry
  • Course duration
    Full Time:  4 Years

This course is yet to be approved for 2026 entry.

If you are interested in studying BSc Computer Science with Artificial Intelligence, please contact us, and we will notify you once applications open.

Please note that the course content may change during the approval stage of the process.


Develop in-demand computing and artificial intelligence expertise and graduate industry-ready with our BSc Computer Science with Artificial Intelligence with Industrial Year degree.

Be at the forefront of a rapidly changing world. From climate modelling to health diagnostics to advanced financial forecasting, AI is transforming every aspect of how we live, work, and connect.

Our BSc Computer Science with Artificial Intelligence with Industrial Year course provides the skills and knowledge to design, build, and deliver intelligent systems that solve complex problems across multiple industries.

There’s currently a worldwide shortage of skilled AI practitioners. During your degree, you'll develop essential AI and digital skills that promote innovation and drive economic growth, in line with the UK government's National AI Strategy.

The University of Reading sits at the heart of the Thames Valley, a major UK tech hub that currently boasts more than 150 companies and start-ups working in the AI sector.

Choose BSc Computer Science with AI at the University of Reading:

  • Reading ranks 2nd in The Data City’s list of UK AI hotspots (2023).
  • Reading has the fourth-highest number of digital tech organisations in the UK ("UK’s Top Digital Tech Cities", March 2020, The Data City).
  • 100% of our research impact has been classed as outstanding or very considerable (REF 2021, combining 4* and 3* submissions Computer Science and Informatics).
  • Joint 30th in the world in the QS Sustainability Ranking 2026 (out of 2,002 institutions).

What you'll learn

Your learning will follow a practice-based approach and will reflect tech industry trends, challenges and priorities. You’ll specialise in AI technologies from the start of your degree while still gaining a broad foundation in computer science.

AI topics include:

  • foundations of artificial intelligence
  • machine learning algorithms and techniques
  • deep learning architectures and methods
  • natural language processing (NLP)
  • cognitive and agentic systems
  • reasoning and decision-making algorithms
  • ethical, responsible and trustworthy AI
  • computer vision
  • intelligent data analytics.

As a well-rounded AI practitioner in any industry, you‘ll need a solid grounding in computer science and information technology. Alongside specialist AI topics, you’ll also explore:

  • software engineering and systems development
  • database systems
  • computer networking
  • blockchain computing and security.

Plus, you'll get to grips with several universal programming/scripting languages for algorithmic and computational problem-solving, including Python and Java.

Industrial Year placement

This degree includes the opportunity to apply for a one-year, paid work placement in industry, taken between your second and final year. It offers a valuable opportunity to deepen your knowledge and skills, explore career options and build your professional network.

Over the years, we have built up relationships with major companies across the industry, many of which have their UK or European headquarters in the local area. Computer science students have previously undertaken placements with a range of multinational, national and local companies, including:

  • CGI
  • Eli Lilly
  • Indivior
  • Microsoft
  • Virgin Media O2.

They have occupied a number of roles, including:

  • Data Analyst
  • Intern Cloud Developer
  • Cyber Response Business Analyst
  • Design and Development Engineer
  • Information Security.

Find out more about how an industrial placement can enhance your employability.

We also offer a three-year version of this degree, BSc Computer Science with Artificial Intelligence, which does not include an integrated year in industry.

Join us in the Department of Computer Science, where you will find a community as passionate about computer science and AI as you are.

Our teaching approach

You’ll be taught by lecturers with expertise across a broad range of areas, with extensive experience in both academic and industrial applications,. They will help you to develop and apply your technical skills.

This Computer Science and Artificial Intelligence degree places a strong emphasis on career development and professional readiness. You'll cultivate essential transferable skills that will enhance your employability and distinguish you in a competitive graduate market. These skills include:

  • teamwork
  • communication
  • advanced conceptual reasoning
  • analytical problem-solving
  • leadership.

During your learning, you'll be assessed using a variety of techniques, designed to evaluate your knowledge, skills, and problem-solving abilities. These include:

  • demonstrations of development outcomes
  • knowledge discovery through search and research
  • group-based activities and individual assignments
  • presentations.

Ideal location

Reading is located in the heart of the UK's Silicon Valley, a hub for the computer science and tech industry. From start-ups and SMEs to multinational companies such as Microsoft, Oracle, Sony, and IBM, future employers are right on your doorstep.

Many of our students take up work experience or a professional placement year with these companies, gaining a competitive edge in the job market and forming professional connections with future employers.

The University is also home to the Thames Valley AI Hub (TVAI Hub), a community of academics, researchers, technicians, clinicians and business strategists. The Hub enables its members to learn, collaborate and develop business opportunities in the artificial intelligence sector.

Specialist computer science tools and expertise

We use a wide range of software packages to support your learning. These include tools like:

  • Git and GitHub (version control)
  • programming environment (Python, Java)
  • AI and machine earning frameworks
  • data engineering tools
  • cloud and development platforms
  • software engineering and architecture tools
  • security coding frameworks
  • cognitive and agentic frameworks
  • mathematical manipulation (for example MATLAB).

Our well-equipped, regularly updated facilities, paired with extensive specialist software, support your core studies and enable you to explore your own projects and interests. You’ll also benefit from access to dedicated technical support throughout your studies.

For teaching and research project work, we provide purpose-built computer labs with workstations running both Windows and Linux, alongside access to web hosting, virtual reality headsets, mobile phones, and Raspberry pi devices. Access to advanced GPU and CPU servers is supported by the University’s central HPC infrastructure, which is freely available to students.

91% of our students said it has been easy to access subject-specific resources (for example, equipment, facilities, software, collection) when they needed to (National Student Survey 2025, 90.5% of responders from the Department of Computer Science).

Find out more about our facilities and undergraduate life in the Department of Computer Science.

Overview

Develop in-demand computing and artificial intelligence expertise and graduate industry-ready with our BSc Computer Science with Artificial Intelligence with Industrial Year degree.

Be at the forefront of a rapidly changing world. From climate modelling to health diagnostics to advanced financial forecasting, AI is transforming every aspect of how we live, work, and connect.

Our BSc Computer Science with Artificial Intelligence with Industrial Year course provides the skills and knowledge to design, build, and deliver intelligent systems that solve complex problems across multiple industries.

There’s currently a worldwide shortage of skilled AI practitioners. During your degree, you'll develop essential AI and digital skills that promote innovation and drive economic growth, in line with the UK government's National AI Strategy.

The University of Reading sits at the heart of the Thames Valley, a major UK tech hub that currently boasts more than 150 companies and start-ups working in the AI sector.

Choose BSc Computer Science with AI at the University of Reading:

  • Reading ranks 2nd in The Data City’s list of UK AI hotspots (2023).
  • Reading has the fourth-highest number of digital tech organisations in the UK ("UK’s Top Digital Tech Cities", March 2020, The Data City).
  • 100% of our research impact has been classed as outstanding or very considerable (REF 2021, combining 4* and 3* submissions Computer Science and Informatics).
  • Joint 30th in the world in the QS Sustainability Ranking 2026 (out of 2,002 institutions).

What you'll learn

Your learning will follow a practice-based approach and will reflect tech industry trends, challenges and priorities. You’ll specialise in AI technologies from the start of your degree while still gaining a broad foundation in computer science.

AI topics include:

  • foundations of artificial intelligence
  • machine learning algorithms and techniques
  • deep learning architectures and methods
  • natural language processing (NLP)
  • cognitive and agentic systems
  • reasoning and decision-making algorithms
  • ethical, responsible and trustworthy AI
  • computer vision
  • intelligent data analytics.

As a well-rounded AI practitioner in any industry, you‘ll need a solid grounding in computer science and information technology. Alongside specialist AI topics, you’ll also explore:

  • software engineering and systems development
  • database systems
  • computer networking
  • blockchain computing and security.

Plus, you'll get to grips with several universal programming/scripting languages for algorithmic and computational problem-solving, including Python and Java.

Industrial Year placement

This degree includes the opportunity to apply for a one-year, paid work placement in industry, taken between your second and final year. It offers a valuable opportunity to deepen your knowledge and skills, explore career options and build your professional network.

Over the years, we have built up relationships with major companies across the industry, many of which have their UK or European headquarters in the local area. Computer science students have previously undertaken placements with a range of multinational, national and local companies, including:

  • CGI
  • Eli Lilly
  • Indivior
  • Microsoft
  • Virgin Media O2.

They have occupied a number of roles, including:

  • Data Analyst
  • Intern Cloud Developer
  • Cyber Response Business Analyst
  • Design and Development Engineer
  • Information Security.

Find out more about how an industrial placement can enhance your employability.

We also offer a three-year version of this degree, BSc Computer Science with Artificial Intelligence, which does not include an integrated year in industry.

Learning

Join us in the Department of Computer Science, where you will find a community as passionate about computer science and AI as you are.

Our teaching approach

You’ll be taught by lecturers with expertise across a broad range of areas, with extensive experience in both academic and industrial applications,. They will help you to develop and apply your technical skills.

This Computer Science and Artificial Intelligence degree places a strong emphasis on career development and professional readiness. You'll cultivate essential transferable skills that will enhance your employability and distinguish you in a competitive graduate market. These skills include:

  • teamwork
  • communication
  • advanced conceptual reasoning
  • analytical problem-solving
  • leadership.

During your learning, you'll be assessed using a variety of techniques, designed to evaluate your knowledge, skills, and problem-solving abilities. These include:

  • demonstrations of development outcomes
  • knowledge discovery through search and research
  • group-based activities and individual assignments
  • presentations.

Ideal location

Reading is located in the heart of the UK's Silicon Valley, a hub for the computer science and tech industry. From start-ups and SMEs to multinational companies such as Microsoft, Oracle, Sony, and IBM, future employers are right on your doorstep.

Many of our students take up work experience or a professional placement year with these companies, gaining a competitive edge in the job market and forming professional connections with future employers.

The University is also home to the Thames Valley AI Hub (TVAI Hub), a community of academics, researchers, technicians, clinicians and business strategists. The Hub enables its members to learn, collaborate and develop business opportunities in the artificial intelligence sector.

Specialist computer science tools and expertise

We use a wide range of software packages to support your learning. These include tools like:

  • Git and GitHub (version control)
  • programming environment (Python, Java)
  • AI and machine earning frameworks
  • data engineering tools
  • cloud and development platforms
  • software engineering and architecture tools
  • security coding frameworks
  • cognitive and agentic frameworks
  • mathematical manipulation (for example MATLAB).

Our well-equipped, regularly updated facilities, paired with extensive specialist software, support your core studies and enable you to explore your own projects and interests. You’ll also benefit from access to dedicated technical support throughout your studies.

For teaching and research project work, we provide purpose-built computer labs with workstations running both Windows and Linux, alongside access to web hosting, virtual reality headsets, mobile phones, and Raspberry pi devices. Access to advanced GPU and CPU servers is supported by the University’s central HPC infrastructure, which is freely available to students.

91% of our students said it has been easy to access subject-specific resources (for example, equipment, facilities, software, collection) when they needed to (National Student Survey 2025, 90.5% of responders from the Department of Computer Science).

Find out more about our facilities and undergraduate life in the Department of Computer Science.

Entry requirements A Level ABB

Select Reading as your firm choice on UCAS and we'll guarantee you a place even if you don't quite meet your offer. For details, see our firm choice scheme.

Our typical offers are expressed in terms of A level, BTEC and International Baccalaureate requirements. However, we also accept many other qualifications. No specific subjects are required at A level or equivalent. 

Typical offer

ABB

International Baccalaureate

32 points overall

GCSE

Maths at grade B (6)

BTEC Extended Diploma

DDM

Extended Project Qualification

In recognition of the excellent preparation that the Extended Project Qualification (EPQ) provides to students for University study, we can now include achievement in the EPQ as part of a formal offer.

English language requirements

IELTS 6.5, with no component below 5.5

For information on other English language qualifications, please visit our international student pages.

Alternative entry requirements for International and EU students

For country specific entry requirements look at entry requirements by country.

International Foundation Pathway

If you are an international or EU student and do not meet the requirements for direct entry to this degree, we also offer a four-year BSc Computer Science with Artificial Intelligence with International Foundation Year degree. 

Successful completion of the International Foundation Programme, along with any other relevant degree entry requirements, guarantees you the opportunity of a place on your chosen undergraduate degree. 

Learn more about our International Foundation Pathways  

Pre-sessional English language programme

If you need to improve your English language score you can take a pre-sessional English course prior to entry onto your degree.

  • Find out the English language requirements for our courses and our pre-sessional English programme

Structure

  • Year 1
  • Year 2
  • Year 3
  • Year 4

Compulsory modules

Mathematics and Computation

Consider the application of mathematics and algorithms to computer and data science. You’ll be presented with relevant mathematics in linear algebra and data analysis and apply these through implementations in MATLAB.

Imperative Programming

Learn how to write small programs using Java, as well as basic algorithms and fundamental software development practices such as version control, specification and testing.

Databases

Implement and manage a database to structure, store, access and retrieve data by taking methodological steps. You’ll develop your problem-solving, critical thinking and teamworking abilities, alongside awareness of end-user needs and testing.

Object-Oriented Programming

Collaborate as a team to develop a program and use it to share and merge source code. As well as developing key programming skills, you’ll improve your ability to solve complex problems.

Introduction to Applied AI

Learn to design AI-assisted solutions and judge how well they work in real situations. You will explore the strengths, limits, and ethical use of AI across different industries.

Optional modules

Computer Systems Architecture

Develop foundational knowledge of computer system architecture, including binary representation, machine language, processors, and memory, and understand the joint forces of hardware and software interaction.

Optional Language or University-Wide Modules 

Study a module from outside your Department to enhance your understanding of history and culture. Alternatively, you can learn one of ten languages offered by the University at a level appropriate for you.

 

These are the modules we expect to offer. They may be subject to change as we regularly review our module offerings to ensure they’re informed by the latest research and teaching methods.

Please note that the University cannot guarantee that all optional modules will be available to all students who may wish to take them.

You can also register your details with us to receive information about your course of interest and study and life at the University of Reading.

Compulsory modules

Data Structures and Algorithms

Explore these two essentials of computer programming and develop your teamwork abilities, critical thinking and professional writing skills. You’ll solve a large problem that integrates components of data structures, algorithm development and implementation.

Programming in Python

Using Python programming languages, develop your skills and knowledge to use current tools in general program designs, development and data science. You’ll also develop transferable professional skills for a variety of fields that use programming.

Software Engineering and Professional Development 

Discover software engineering as a systematic approach to software development. You’ll study and apply paradigms and methodologies to inform software development, innovation, management, and sustainability in response to the fast-changing digital era.

Software Systems Design

Explore object-oriented analyses and design (OOAD) skills, concepts and principles. You'll learn Unified Modelling Language (UML) techniques to design software systems and gain an understanding of methodology.

Artificial Intelligence

Apply fundamental methods in artificial intelligence to various real-world problems. You’ll expand your critical thinking skills to solve large problems, together with your writing skills for algorithm development and software implementation.

AI Ethics

Explore the ethical, legal, and social issues raised by artificial intelligence in everyday life. Learn to think critically about responsibility, fairness, and human values in AI systems. Preparing you for responsible AI governance and for working with advanced and autonomous AI technologies.

 

These are the modules we expect to offer. They may be subject to change as we regularly review our module offerings to ensure they’re informed by the latest research and teaching methods.

Please note that the University cannot guarantee that all optional modules will be available to all students who may wish to take them.

You can also register your details with us to receive information about your course of interest and study and life at the University of Reading.

Year in industry.

Compulsory modules

Degree project

Conduct a professional project within a specific area of computer science, demonstrating initiative and creativity and applying the skills and knowledge you’ve acquired throughout your studies.

Optional modules

Choose four modules from the following options:

Data Integration and Information Visualisation

Transform raw data into visual insights to develop your understanding of data integration. You’ll work with peers to critically reflect on the design process and outcomes, using commercial software tools and writing professionally for software design documents.

Machine Learning

Familiarise yourself with the advanced concepts in Artificial Intelligence (AI) and Machine Learning (ML). Discover the core AI and ML methods for natural language processing and visual perception, including Multilayer Perceptrons, Convolutional Neural Networks, Recurrent Neural Networks, Attention and Transformer Networks, Language Modelling and Generative AI.  You'll apply these methods to problems, including classification, regression and language modelling, and write for algorithm development and software implementation.

Image Analysis and Visual Intelligence

Gain theoretical and practical knowledge of image analysis and computer vision by using real-world applications. You’ll develop professional skills such as problem-solving, teamwork, critical analysis, creativity, and technical report writing for various audiences.

Text Mining and Natural Language Processing

Study the field of text mining and natural language processing, focusing on the theories and practice of processing text data from the aspects of lexicons, syntactics and semantics.

Cloud-based AI Solutions

Following on from modules in Machine Learning and Artificial Intelligence, study the fundamentals of applying software engineering principles to create AI solutions in cloud environments. Gain the knowledge and skills needed to design, develop, optimise and deploy AI systems that are efficient, reliable and scalable using cloud-based services. Designed to support students pursuing a career in AI engineering, this module emphasises core concepts, practical applications, and hands-on exercises.

Cognitive and Agentic Systems

With a strong focus on practical skills using modern AI tools, this module combines core AI concepts with hands-on use of web-based tools and critical evaluation of AI outputs. You will learn how AI supports problem-solving, information retrieval, text creation, and multi-step tasks without coding.

 

These are the modules we expect to offer. They may be subject to change as we regularly review our module offerings to ensure they’re informed by the latest research and teaching methods.

Please note that the University cannot guarantee that all optional modules will be available to all students who may wish to take them.

You can also register your details with us to receive information about your course of interest and study and life at the University of Reading.

Fees

New UK/Republic of Ireland students: The home tuition fee for 2026 entry is £9,790. The home tuition fee is subject to annual increases in subsequent years of study.

New international students: £30,650 for 2026/27. The international tuition fee is subject to annual increases in subsequent years of study as set out in your student contract. For more details, please visit our Fees for International Students page.

Tuition fees

To find out more about how the University of Reading sets its tuition fees, see our fees and funding pages.

Additional costs

Some courses will require additional payments for field trips and extra resources. You will also need to budget for your accommodation and living costs. See our information on living costs for more details.

Financial support for your studies

You may be eligible for a scholarship or bursary to help pay for your study. Students from the UK may also be eligible for a student loan to help cover these costs. See our fees and funding information for more information on what's available.

Become a Global Sustainability Leaders Scholar

This exciting new undergraduate scholarship scheme is focused on creating a community of global sustainability leaders of the future. We are offering up to 400 scholarships per year, for high-achieving students from the UK and overseas.

Each scholar will receive £6,000 a year for maintenance and living costs, for up to four years of full-time study on their course (subject to terms and conditions).

Find out more about the Global Sustainability Leaders Scholarship scheme.

Careers

The recruitment of artificial intelligence-trained practitioners is growing at an unprecedented rate globally as the use of AI spreads across all technology-enabled industries. Our artificial intelligence degree has been developed in response to government priorities to produce industry-ready graduates who will meet this growing demand.

Our course prepares you for a wide range of careers in the ever-changing fields of computing and artificial intelligence. Your technical confidence, analytical mindset, and creative problem-solving skills could help you advance into any number of roles, including:

  • machine learning engineer
  • data scientist
  • AI systems analyst
  • AI ethics and policy specialist
  • AI consultant
  • MLOps engineer. 

Our previous computer science graduates have gone on to work for employers such as:

  • Amazon
  • CGI
  • IBM
  • Sophos
  • SureCloud.

(Based on our analysis of HESA data © 2021 - 2025, Graduate Outcomes Survey 2018/19 - 2022/23; includes first degree responders from the Department of Computer Science).

Our BSc Computer Science with Artificial Intelligence with Industrial Year degree is designed to follow a practice-based teaching approach to enhance your employability. At the same time, the content of the modules is also research-informed, enabling you to pursue further research and continue on to postgraduate studies.

Support for your future career

As well as embedding skills development into your learning, we regularly organise for employers to come in and talk with our students about CVs, interviews and the recruitment process. As a student at Reading, you will also benefit from one-to-one sessions that help you create your CV, practice interviews, and take part in mock assessment centres.

At Reading, you are ideally placed to take advantage of the area’s high density of tech businesses by making connections with like-minded industry professionals at local tech and developer meetups. You can raise your professional profile while solving real-world problems and discussing the latest discoveries and innovations.

Overall, 91% of graduates from Computer Science at the University of Reading are in work or further study within 15 months of graduation (Based on our analysis of HESA data © HESA 2025, Graduate Outcomes Survey 2022/23; includes first degree Computer Science responders).

Build the skills to succeed in your career - and contribute to a sustainable future

At the University of Reading, we help you turn your environmental and sustainability values into opportunities that make a difference to your career and the wider world.

Employers are already reshaping their businesses to respond to climate change, and they increasingly value graduates with expertise in environmental stewardship – one of the fastest-growing skill areas (World Economic Forum, Future of Jobs Report 2025).

During your time at Reading, you’ll have access to a wide range of opportunities and support. This will help you graduate with the knowledge and confidence to tackle environmental and sustainability challenges in your career.

In 2025, the University of Reading won the AGCAS Green Careers Award. Judges highlighted the impact of our Careers service and the positive outcomes our students achieve.

Explore climate and sustainability initiatives you can get involved with as a student at Reading.

Studying Computer Science at the University of Reading play video

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Studying Computer Science at the University of Reading

I chose to study at the University of Reading due to its strong reputation – both specifically in my degree course and as a university as a whole. My course has a high rate of graduate employment, due in part to its excellent location amongst some of the largest global technology companies.

Alex Weeser
BSc Computer Science

Contextual offers


We make contextual offers for all our courses.

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