Computer Science with Year in Industry BSc (Hons)

International student

Course overview

Computer science is more than just programming. It is about problem-solving and creativity. Our range of optional modules allows you to explore the areas of computer science that excite you. These include user experience design, virtual reality, artificial intelligence and machine learning.

You'll take part in a group project in year two which prepares you for designing and creating the computer systems of the future. Many projects are in collaboration with industry. Previous students have worked with Capital One, Experian, IBM and UniDays. This project is great for your CV.

The industry year lets you take what you've learned and apply it to real projects in industry. Placements are usually paid and can even lead to a job offer before you've graduated.

You may recognise some of our tutors from the Computerphile YouTube series. It is this inspiring teaching that you can expect at Nottingham.

How you will learn

Teaching is delivered through a mix of in-person and online methods - the majority of your teaching will be in-person.

We offer one-to-one supervision meetings for group and individual projects (for example, dissertations).

Teaching methods

Computer labs
Lectures
Tutorials

How you will be assessed

You will be given a copy of our marking criteria which provides guidance on how your work is assessed. Your work will be marked in a timely manner and you will receive regular feedback. The pass mark for each module is 40%.

Your final degree classification will be based on marks gained for your second and subsequent years of study. Year two is worth 33% with your final year worth 67%.

Assessment methods

Coursework
Group project
Research project
Written exam

Contact time and study hours

As a guide, one credit equals approximately 10 hours of work. Core modules are taught by a mixture of professors, assistant/associate professors and teaching associates together with PhD students and research staff.

You will spend around half of your time in lectures, tutorials, mentoring sessions and computer labs. The remaining time is spent in independent study.

Tutorial groups are usually made up of eight students. They meet every other week during term-time.

For the year in industry, you will work full-time as an employee. You will need to submit a reflective log and progress reports while you are on placement.

Modules

10 modules

Assembly Language Programming

This module takes a practical approach to give students a basic understanding of the fundamental architecture of computers and software.

It will introduce low-level machine code instructions and show how these can be combined to form programs. We then look at higher-level programming structures, like conditional statements, loops, arrays and functions, to show how they’re implemented at machine code level.

Computer Architecture

This module shows how modern computer systems are made of hierarchical layers of functionality which build on and abstract the layers below.

You’ll begin by learning how the simple building blocks of digital logic can be put together in different ways to build an entire computer. Then we’ll go on to consider how the design can improve performance, how multicore/ multiprocessor systems are programmed and the how the software in an operating systems manages computing resources.

Databases and Interfaces

This module considers both the structure of databases, including how to make them fast, efficient and reliable, and the appropriate user interfaces which will make them easy to interact with for users. You will start by looking at how to design a database, gaining an understanding of the standard features that management systems provide and how you can best utilise them, then develop an interactive application to access your database.

Through the lectures and computing sessions you will learn how to design and implement systems using a standard database management system, web technologies and GUI interfaces through practical programming/system examples.

Fundamentals of Artificial Intelligence

You will gain a broad overview of the fundamental theories and techniques of artificial intelligence (AI).

You’ll explore how computers can produce intelligent behaviour, and will consider topics such as the history of AI, AI search techniques, neural networks, data mining, philosophical and ethical issues, and knowledge representation and reasoning.

Introduction to Software Engineering

You will be introduced to the concept of software engineering and will be taken through the software development process: deciding exactly what should be built (requirements and specification), designing how it should be built (software architecture), development strategies (implementation and testing), and maintaining change (software evolution and maintenance).

Mathematics for Computer Scientists

You’ll cover the basic concepts in mathematics which are of relevance to the computer scientists.

These include:

logic
sets
functions and relations
graphs
induction
basic probability
statistics and matrices

Mathematics for Computer Scientists 2

You'll cover the following basic concepts in mathematics which are of relevance to the development of computer software. Topics which will be covered include linear algebra and calculus.

Networks

You’ll learn how a computer communicates with other computers at a fundamental level. This will help you to build an understanding of the fundamental architecture of computer networks.

We’ll examine how the layers of modern computer systems are implemented in practice, by comparing and contrasting different approaches to solve common problems.

You’ll also discover how modern IP networks can be programmed using the sockets API.

Programming and Algorithms

The module introduces basic principles of programming and algorithms. It covers fundamental programming constructs, such as types and variables, expressions, control structures, and functions.

You'll learn how to design and analyse simple algorithms and data structures that allow efficient storage and manipulation of data. You'll also become familiar with basic software development methodology.

Programming Paradigms

In this module you will learn the basic principles of the object-oriented and functional approaches to programming, using the languages Java and Haskell. You will also see how they can be used in practice to write a range of different kinds of programs.

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6 modules

Algorithms, Data Structures and Efficiency

This module covers important aspects of algorithms and data structures. You will study the general principles along with their efficiencies. You will learn the mathematical terms of the computational resources used to support algorithm design decisions.

You'll study topics such as:

sorting algorithms

heaps

binary search trees

hashmaps

graph algorithms

There is emphasis on understanding data structures and algorithms. This will enable you to design and use them for problem-solving. You will develop the mathematical and formal reasoning skills required to understand software systems, in particular their efficiency.

The module will give you a good working knowledge of some common algorithms and data structures. You will gain an understanding of the issues involved in designing a program for a specific task.

Developing Maintainable Software

To build on first year programming modules and further develop programming ability and experience, including ability to develop and understand a large piece of software, build user interfaces and follow a realistic design and testing procedure.

Topic examples include: design diagrams and modelling; GUI programming; testing software engineering methodologies (including agile development and tools), refactoring; design patterns and SOLID principles; all in the context of understanding anddeveloping maintainable third-party code.

Introduction to Formal Reasoning

This module is an introduction to formal reasoning with applications in program verification and Mathematics. Students will use an interactive proof system like Lean or Coq to learn how to make precise statements and how to verify them using formal proofs. Topics covered include propositional logic, classical principles, predicate logic, the theories of Booleans, natural numbers, lists and trees, and verification of simple algorithms.

Languages and Computation

You'll investigate classes of formal language and the practical uses of this theory, applying this to a series of abstract machines ultimately leading to a discussion on what computation is and what can and cannot be computed.

You'll focus in particular on language recognition, but will study a range of topics including:

finite state machines
regular expressions
context-free grammars
Turing machines
Lambda calculus

This module builds on parts of the ACE module addressing data structures and formal reasoning and introduces concepts which are important to understand the analysis of algorithms in terms of their complexity.

Operating Systems and Concurrency

This course covers the fundamental principles that underpin operating systems and concurrency. Topics covered include the architecture of operating systems, process and memory management, storage, I/O, and virtualisation. The principles of concurrency will be introduced from both the perspective of an operating system and user applications. Specific topics on concurrency include: hardware support for concurrency; mutual exclusion and condition synchronisation; monitors; safety and liveness properties of concurrent algorithms, and the use of threads and synchronisation.

Software Engineering Group Project

Working in groups of around six to seven people, you’ll be assigned a supervisor who will provide you with a short written description of a computer application to be designed, programmed, and documented during the course of the module. Around half the projects you will bid for have industry partners you will collaborate with.

Each group will meet twice a week, once with your supervisor and once without; you’ll also have four introductory one hour lectures.

8 modules

Advanced Functional Programming

Building upon the introductory Functional Programming module in year one, you’ll focus on a number of more advanced topics such as:

programming with effects
reasoning about programs
control flow
advanced libraries
improving efficiency
type systems
functional pearls

You’ll spend around four hours per week in lectures and computer classes.

Artificial Intelligence Methods

This module builds on the Fundamentals of Artificial Intelligence module. The emphasis is on building on the AI research strengths in the School.

You will be introduced to key topics such as AI techniques, fuzzy logic and planning, and modern search techniques such as Iterated Local Search, Tabu Search, Simulated Annealing, Genetic Algorithms, and Hyper-heuristics, etc.

You will also explore the implementation of some AI techniques.

C++ Programming

You will cover the programming material and concepts necessary to obtain an understanding of the C++ programming language. You will spend around four hours per week in lectures and computer classes and will be expected to take additional time to practice and to produce your coursework.

Distributed Systems

This module covers the following topics:

overview of parallel and distributed computing
applications of distributed systems
fundamental concepts of distributed systems (processes and message passing, naming and discovery, fault tolerance and partial failure, consistency and cacheing, security)
reliable network communication
distributed system design approaches (direct vs indirect communication, client-server vs peer-to-peer, stateful vs stateless interfaces)
introduction to distributed data management
introduction to distributed algorithms

Introduction to Human Computer Interaction

This module is part of the Human Computer Interaction theme in The School of Computer Science. This module aims to teach an understanding of people's interactions with technology and how to apply this knowledge in the design of usable interactive computer systems. The module will introduce the concept of usability and will examine different design approaches and evaluation methods. Specifically, this module will cover an understanding of different styles of interaction with technology, an analysis of user needs, design standards, low fidelity prototyping techniques and a comparison of evaluation techniques.

Introduction to Image Processing

This module introduces the field of digital image processing, a fundamental component of digital photography, television, computer graphics and computer vision.

You’ll cover topics including:

image processing and its applications
fundamentals of digital images
digital image processing theory and practice
applications of image processing

You’ll spend around three hours in lectures and computer classes each week.

Software Specification

Building on the material presented in the Foundations of Software Engineering module, you will cover two main aspects of the software engineering process in depth: requirements and design. This will cover modern approaches to large scale requirements and engineering and specification, and approaches to systems and architectural design. You will spend around two hours per week in lectures and one hour in labs for practical experience for this module.

Introduction to Smart Things and Robotics

In this module, you will gain a broad overview of the fundamental theories and techniques of cyber-physical systems. You will explore the architecture of cyber physical systems as a network of interacting elements with physical input and output and intelligent mechanisms, and develop an understanding of how to increase their adaptability, autonomy, efficiency, reliability, safety, and usability in different contexts of use.

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Year three

This is the year you'll work in industry. We monitor your progress while on placements through visits from academic staff. You'll complete a reflective log and progress reports.

1 modules

Year in industry

Subject to you meeting the relevant requirements, this year will be spent in industry.

The placement year opportunity enables you to take what you've learned and apply it to real projects in a professional working environment. You will be supported by a placement tutor in securing a position and they will keep in touch during the year to see how you are getting on. The placement year can provide you with a source of income and can even lead to a job offer before you've graduated.

Important information

Please be aware that study abroad, compulsory year abroad, optional placements/internships and integrated year in industry opportunities may change at any time for a number of reasons, including curriculum developments, changes to arrangements with partner universities or placement/industry hosts, travel restrictions or other circumstances outside of the university’s control. Every effort will be made to update this information as quickly as possible should a change occur.

2 modules

Computer Security

Spending four hours a week in lectures and computer classes, you’ll cover the following topics:

security of the computer
security of networks
security and the internet
software and hardware security
mobile security
basic cryptography

Professional Ethics in Computing

This module looks broadly into professional ethics within the scope of the computing discipline. It covers a range of professional, ethical, social and legal issues in order to study the impact that computer systems have in society and the implications of this from the perspective of the computing profession. In particular, the module covers topics such as introduction to ethics, critical thinking, professionalism, privacy, intellectual and intangible property, cyber-behaviour, safety, reliability accountability, all these within the context of computer systems development.

11 modules

Collaboration and Communication Technologies

In this module, you will consider the design of collaboration and communication technologies used in a variety of different contexts including workplace, domestic and leisure environments. You will consider the basic principles of such technologies, explore the technologies from a social perspective, consider their impact on human behaviour and critically reflect on their design from a human-centred perspective.

Compilers

You’ll examine aspects of language and compiler design by looking at the techniques and tools that are used to construct compilers for high level programming languages. Topics covered include: parsing; types and type systems; run-time organisation; memory management; code generation; and optimisation. You’ll spend around four hours each week in lectures and computer classes.

Computability and Computational Complexity

You will begin by considering the attempts to characterise the problems that can theoretically be solved by physically possible computational processes, along with the practical implications. You will then consider the area of complexity theory, looking at whether or not problems can be solved under limitations on resources such as time or space. You will examine the classes P and NP, and how to show problems are NP-complete. You will also consider other practically important classes such as: PSPACE, and its relevance to adversarial games, and NC, and its relevance to understanding of parallel computation and the limitations of its effectiveness. You will also consider classes BPP for probabilistic computation, and BQP for quantum computing, along with ideas of post-quantum cryptography based on NP-hard problems. You will look at the practical implications of computability and complexity in the context of real-world problems, such as vehicle routing, scheduling, timetabling, machine learning, and quantum computing. 

Computer Graphics

You will learn the principles of 3D computer graphics, focusing on modelling and viewing objects/scene in a three-dimensional (3D) world on the computer, rendering the objects/scene to give it realism, and projecting objects/scene onto 2D display in analogy to your taking a photo of a 3D world using a camera. Through weekly lectures and laboratory sessions, you will explore various computer graphics techniques and develop your graphics programming skills, including the use of specialist APIs, required for 3D computer graphics. The module demonstrates the benefits of linking theory and practice.

Computer Vision

You’ll examine current techniques for the extraction of useful information about a physical situation from individual and sets of images.

You’ll cover a range of methods and applications, with particular emphasis being placed on the identification of objects, recovery of three-dimensional shape and motion, and the recognition of events.

You’ll learn how to implement some of these methods in the industry-standard programming environment MATLAB.

You’ll spend around three hours a week in lectures and laboratory sessions.

Cryptography

This module will enable you to appreciate the range of data analysis problems that can be modelled computationally and a range of techniques that are suitable to analyse and solve those problems.

Topics covered include:

basic statistics
types of data
data visualisation techniques
data modelling
data pre-processing methods including data imputation
forecasting methods
clustering and classification methods (decision trees, naīve bayes classifiers, k-nearest neighbours)
data simulation
model interpretation techniques to aid decision support

Spending around four hours each week in lectures and computer classes, appropriate software (eg. R, Weka) will be used to illustrate the topics you'll cover.

Designing Intelligent Agents

You’ll be given a basic introduction to the analysis and design of intelligent agents, software systems which perceive their environment and act in that environment in pursuit of their goals.

You’ll cover topics including:

task environments
reactive, deliberative and hybrid architectures for individual agents
architectures and coordination mechanisms for multi-agent systems

You will spend around four hours each week in lectures and tutorials for this module.

Data Visualisation

Data Visualisation is the process of extracting knowledge from complex data, and presenting it to users in a manner that is appropriate to their needs. This module provides the foundation for effective Data Visualisation design. You will learn about the different approaches to constructing visualisations, including the representation of ambiguous and time-series data. You will also learn about cognitive and visual perception theories that help explain how humans process information visually, and how to apply these to the design of effective visualisations.

If you want to learn advanced design and implementation of interactive Data Visualisation, you should consider taking the linked module COMP3022 Data Visualisation Project, of which this module is a pre-requisite. Together, these two modules form an integrated 20 credit programme of study.

Human-AI Interaction

This module is an introduction to the design of human-AI interaction to ensure the AI-driven systems we build are beneficial and useful to people.

The module will cover practical design topics including methods and techniques such as natural language processing and human-robot interaction. The module will also consider societal and theoretical concerns of human-AI interaction, including the ethics of AI, responsible innovation, trust, accountability and explainable AI.

The practical component of the module will involve building AI-driven systems that drive conversational experiences, such as a text-based ‘chatbots’ and speech-controlled services/ ‘skills’, involving automatic speech recognition and natural language processing.

Individual Dissertation in Computer Science

You’ll perform an individual project on a topic in computer science. You’ll produce a 15-25,000 word project report under the guidance of your supervisor, who you will meet with for an hour each week.

The topic can be any area of the subject which is of mutual interest to both the student and supervisor, but should involve a substantial software development component.

Mobile Device Programming

You’ll look at the development of software applications for mobile devices, with a practical focus on the Android operating system. You’ll consider and use the software development environments for currently available platforms and the typical hardware architecture of mobile devices. You’ll spend around three hours per week in lectures and computer classes.

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Select student type

Quick glance

All candidates are considered on an individual basis and we accept a broad range of qualifications. The entrance requirements listed apply to 2026 entry.

A levels

A*AA

36 points overall

A level and GCSE requirements

A levels

A*AA / A*A*B (AAA / A*AB if you have an A in computer science)

Excluded subjects

General studies, thinking skills, global perspectives and research, critical thinking. A level ICT or IT do not qualify for the lower level.

GCSEs

GCSE maths at grade B (5) and GCSE English at grade C (4)

The following qualifications can be accepted in lieu of GCSE mathematics grade 5 (B):

IB Mathematics Analysis and Approaches grade 4 at Higher level or grade 5 at Standard Level, IB Mathematics Applications and Interpretation grade 4 at Higher level or grade 5 at Standard Level or AQA Core Maths grade C.

IB requirements

IB score

36 points overall or 766 in 3 HL certificates

IB requirements

IBDP 36 points overall or 766 in 3 Higher Level Certificates. Alternatively, IBDP 34 points including HL6 computer science or 666 in 3 Higher Level Certificates including computer science.

Alternative qualifications

We recognise that applicants have a wealth of different experiences and follow a variety of pathways into higher education.

Consequently we treat all applicants with alternative qualifications (besides A levels and the International Baccalaureate) on an individual basis, and we gladly accept students with a whole range of less conventional qualifications including:

Access to HE Diploma
Advanced Diploma
BTEC HND/HNC
BTEC Extended Diploma

This list is not exhaustive. The entry requirements for alternative qualifications can be quite specific; for example you may need to take certain modules and achieve a specified grade in those modules. Please contact us to discuss the transferability of your qualification. Please see the alternative qualifications page for more information.

RQF BTEC Nationals

RQF Level 3 BTEC National Extended Diploma D*DD
RQF Level 3 BTEC National Diploma and one A level DD plus A* or D*D plus A in A level computer science
RQF Level 3 BTEC National Extended Certificate and two A levels D plus A*A or D plus AA including A level computer science

Access to HE Diploma

Pass Access to HE Diploma with 42 Level 3 graded credits at Distinction and 3 Level 3 graded at Merit

Contextual offers

We make contextual offers to students who may have experienced barriers that have restricted progress at school or college. Our standard contextual offer is usually one grade lower than the advertised entry requirements, and our enhanced contextual offer is usually two grades lower than the advertised entry requirements. To qualify for a contextual offer, you must have Home/UK fee status and meet specific criteria – check if you’re eligible.

Foundation progression options

If you don't meet our entry requirements there is the option to study the engineering and physical sciences foundation programme. If you successfully pass the year, you can progress to any of our computer science courses. There is a course for UK students and one for EU/international students.

Mature students

At the University of Nottingham, we have a valuable community of mature students and we appreciate their contribution to the wider student population. You can find lots of useful information on the mature students webpage.

Study abroad

On this course, you can apply to study abroad at one of our partner institutions or at University of Nottingham China or University of Nottingham Malaysia.

If you are successful in applying to study abroad, you will get the opportunity to broaden your horizons and enhance your CV by experiencing another culture. Teaching is typically in English, but there may be opportunities to study in another language if you are sufficiently fluent.

You can choose to study similar modules to your counterparts in the UK or expand your knowledge by taking other options.

The school you are joining may also have additional study abroad options available. Please visit the school website for more information.

Please note

In order to study abroad you will need to achieve the relevant academic requirements as set by the university and meet the selection criteria of both the university and the partner institution. The partner institution is under no obligation to accept you even if you do meet the relevant criteria.

Year in industry

On this course you may be able to spend a year working in industry where you could gain first-hand experience of exciting challenges and refine the skills you have built so far in the course. While it is the student’s responsibility to find and secure a year in industry host, the university will support you throughout this process.

Please note:

In order to undertake an integrated year in industry, you will have to achieve the relevant academic requirements as set by the university and meet any requirements specified by the industry host. There is no guarantee that you will be able to undertake an integrated year in industry as part of your course.

If you do not secure an integrated year in industry opportunity, you will be required to transfer to the version of the course without an integrated year in industry. This will be reflected in the title of your degree when you graduate.

Disclaimer

Please be aware that study abroad, compulsory year abroad, optional placements/internships and integrated year in industry opportunities may change at any time for a number of reasons, including curriculum developments, changes to arrangements with partner universities or placement/industry hosts, travel restrictions or other circumstances outside of the university’s control. Every effort will be made to update this information as quickly as possible should a change occur.

Tuition fees

2026/27 (UK undergraduate students)

This is the UK undergraduate tuition fee for the academic year 25/26. It may increase for the academic year 26/27 and we will update our information once we have received confirmation of the fee from the UK Government.

For full details including fees for part-time students and reduced fees during your time studying abroad or on placement (where applicable), see our fees page.

Additional costs

As a student on this course, you should factor some additional costs into your budget, alongside your tuition fees and living expenses.

You should be able to access most of the books you’ll need through our libraries, though you may wish to purchase your own copies. If you do these would cost around £40.

Due to our commitment to sustainability, we don’t print lecture notes but these are available digitally. You will be given £5 worth of printer credits a year. You are welcome to buy more credits if you need them. It costs 4p to print one black and white page.

If you study abroad, you need to consider the travel and living costs associated with your country of choice. This may include visa costs and medical insurance. For the year in industry, you may be paid as a full-time employee but you will need to factor in accommodation or travel costs.

Personal laptops are not compulsory as we have computer labs that are open throughout the day but you may want to consider one if you wish to work at home.

Scholarships and bursaries

The University of Nottingham offers a wide range of bursaries and scholarships. These funds can provide you with an additional source of non-repayable financial help. For up to date information regarding tuition fees, visit our fees and finance pages.

Home students

Over one third of our UK students receive our means-tested core bursary, worth up to £1,000 a year. Full details can be found on our financial support pages.

A 'home' student is one who meets certain UK residence criteria. These are the same criteria as apply to eligibility for home funding from Student Finance.

Quick glance

All candidates are considered on an individual basis and we accept a broad range of qualifications. The entrance requirements listed apply to 2026 entry.

36 points overall

A levels

A*AA

IB requirements

IB score

36 points overall or 766 in 3 HL certificates

IB requirements

IBDP 36 points overall or 766 in 3 Higher Level Certificates. Alternatively, IBDP 34 points including HL6 computer science or 666 in 3 Higher Level Certificates including computer science.

A level and GCSE requirements

A levels

A*AA / A*A*B (AAA / A*AB if you have an A in computer science)

Excluded subjects

General studies, thinking skills, global perspectives and research, critical thinking. A level ICT or IT do not qualify for the lower level.

GCSEs

GCSE maths at grade B (5) and GCSE English at grade C (4)

The following qualifications can be accepted in lieu of GCSE mathematics grade 5 (B):

Alternative qualifications

We recognise that applicants have a wealth of different experiences and follow a variety of pathways into higher education.

Access to HE Diploma
Advanced Diploma
BTEC HND/HNC
BTEC Extended Diploma

RQF BTEC Nationals

RQF Level 3 BTEC National Extended Diploma D*DD
RQF Level 3 BTEC National Diploma and one A level DD plus A* or D*D plus A in A level computer science
RQF Level 3 BTEC National Extended Certificate and two A levels D plus A*A or D plus AA including A level computer science

Access to HE Diploma

Pass Access to HE Diploma with 42 Level 3 graded credits at Distinction and 3 Level 3 graded at Merit

IELTS/English requirements

IELTS

6.5 (no less than 6.0 in any element)

English language requirements

As well as IELTS (listed above), we also accept other English language qualifications. This includes TOEFL iBT, Pearson PTE, GCSE, IB and O level English. Check our English language policies and equivalencies for further details.

For presessional English or one-year foundation courses, you must take IELTS for UKVI to meet visa regulations.

If you need support to meet the required level, you may be able to attend a Presessional English for Academic Purposes (PEAP) course. Our Centre for English Language Education is accredited by the British Council for the teaching of English in the UK.

If you successfully complete your presessional course to the required level, you can then progress to your degree course. This means that you won't need to retake IELTS or equivalent.

High school qualifications

Check our country-specific information for guidance on qualifications from your country.

Visa restrictions

International students must have valid UK immigration permissions for any courses or study period where teaching takes place in the UK. Student route visas can be issued for eligible students studying full-time courses. The University of Nottingham does not sponsor a student visa for students studying part-time courses. The Standard Visitor visa route is not appropriate in all cases. Please contact the university’s Visa and Immigration team if you need advice about your visa options.

Foundation progression options

Mature students

Study abroad

On this course, you can apply to study abroad at one of our partner institutions or at University of Nottingham China or University of Nottingham Malaysia.

You can choose to study similar modules to your counterparts in the UK or expand your knowledge by taking other options.

The school you are joining may also have additional study abroad options available. Please visit the school website for more information.

Please note

Year in industry

Please note:

Disclaimer

Tuition fees

If you are a student from the EU, EEA or Switzerland, you may be asked to complete a fee status questionnaire and your answers will be assessed using guidance issued by the UK Council for International Student Affairs (UKCISA).

For full details including fees for part-time students and reduced fees during your time studying abroad or on placement (where applicable), see our fees page.

Additional costs

As a student on this course, you should factor some additional costs into your budget, alongside your tuition fees and living expenses.

You should be able to access most of the books you’ll need through our libraries, though you may wish to purchase your own copies. If you do these would cost around £40.

Personal laptops are not compulsory as we have computer labs that are open throughout the day but you may want to consider one if you wish to work at home.

Scholarships and bursaries

International students

We offer a range of international undergraduate scholarships for high-achieving international scholars who can put their Nottingham degree to great use in their careers.

Careers overview

Our graduates are developing the future of computer science. From start-ups to international companies, they are working in roles such as:

App Developer
Game Developer
Data Analyst
Software Developer
Financial Consultant

If research is something that interests you then you could continue studying for a masters or PhD.

Graduate destinations

Our graduates have gone on to work in companies such as:

BT
Capital One
Coca-Cola Enterprises
Experian
Games Workshop
Ministry of Defence
Sky

Other opportunities to help your employability

The Nottingham Internship Scheme provides a range of work experience opportunities and internships throughout the year.

The Nottingham Advantage Award is our free scheme to boost your employability. There are over 200 extracurricular activities to choose from.

Job prospects

90.2% of School of Computer Science graduates were in sustained employment, further study or both five years after graduation. These graduates earned a median salary of £55,800 (LEO data from 2022/23 tax year, published in 2025.)

Careers advice

Studying for a degree at the University of Nottingham will provide you with the type of skills and experiences that will prove invaluable in any career, whichever direction you decide to take.

Throughout your time with us, our Careers and Employability Service can work with you to improve your employability skills even further; assisting with job or course applications, searching for appropriate work experience placements and hosting events to bring you closer to a wide range of prospective employers.

Have a look at our careers page for an overview of all the employability support and opportunities that we provide to current students.

The University of Nottingham is consistently named as one of the most targeted universities by Britain's leading graduate employers (Ranked in the top 10 in The Graduate Market in 2013-2024, High Fliers Research).

British Computer Society

Accredited by BCS, The Chartered Institute for IT for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional.

Welcome to your campus

At Jubilee Campus, striking architecture, sustainable design and a lively student community create an inspiring space to learn, connect and thrive. From lakeside walks to coffee catch-ups and gym sessions, this modern campus offers an ideal blend of energy and tranquillity – a place where ideas flourish and ambitions take shape.

Computer Science with Year in Industry - U6UCMPSCY

Course overview

Teaching and learning

Modules

Core modules

10 modules

Assembly Language Programming

Computer Architecture

Databases and Interfaces

Fundamentals of Artificial Intelligence

Introduction to Software Engineering

Mathematics for Computer Scientists

Mathematics for Computer Scientists 2

Networks

Programming and Algorithms

Programming Paradigms

Core modules

6 modules

Algorithms, Data Structures and Efficiency

Developing Maintainable Software

Introduction to Formal Reasoning

Languages and Computation

Operating Systems and Concurrency

Software Engineering Group Project

Optional modules

Core modules

Year three

1 modules

Year in industry

Core modules

2 modules

Computer Security

Professional Ethics in Computing

Optional modules

Select student type

Entry requirements

4 years full-time

£9,535 per year

Entry requirements

4 years full-time

£33,000 per year

Careers

Accreditation

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