Teaching methods
- Computer labs
- Lectures
- Tutorials
Jubilee Campus, Nottingham, UK
Qualification | Entry Requirements | Start Date | UCAS code | Duration | Fees |
---|---|---|---|---|---|
MSci Hons | A*AA/AAA | September 2024 | G406 | 4 years full-time | £9,250 per year |
Qualification | Entry Requirements | Start Date | UCAS code | Duration | Fees |
---|---|---|---|---|---|
MSci Hons | A*AA/AAA | September 2024 | G406 | 4 years full-time | £9,250 per year |
Accredited by BCS, The Chartered Institute for IT for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional.
Accredited by BCS, The Chartered Institute for IT on behalf of the Engineering Council for the purposes of fully meeting the academic requirement for Incorporated Engineer and partially meeting the academic requirement for a Chartered Engineer.
Accredited by BCS, The Chartered Institute for IT for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional.
Accredited by BCS, The Chartered Institute for IT on behalf of the Engineering Council for the purposes of fully meeting the academic requirement for Incorporated Engineer and partially meeting the academic requirement for a Chartered Engineer.
5 in maths at Standard/Higher Level or GCSE maths, 5 (B) or above. 36 with 6 in computer science at Higher Level, and 5 in maths at Standard/Higher Level or GCSE maths, 5 (B) or above
6.5 (6.0 in each element)
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.
Check our country-specific information for guidance on qualifications from your country
Maths at grade B and GCSE English at grade C
Please note that A level ICT or IT do not qualify for the lower level.
A*AA (AAA if you have an A in computer science/computing)
All candidates are considered on an individual basis and we accept a broad range of qualifications. The entrance requirements below apply to 2023 entry.
Please note: Applicants whose backgrounds or personal circumstances have impacted their academic performance may receive a reduced offer. Please see our contextual admissions policy for more information.
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:
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.
We recognise the potential of talented students from all backgrounds. We make contextual offers to students whose personal circumstances may have restricted achievement at school or college. These offers are usually one grade 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.
Due to the volume of applications we receive to our Computer Science courses from highly qualified candidates we operate a ‘gathered field’ selection process. This involves holding applications received by the UCAS equal consideration deadline 25th January 2023 and assessing them in one go. It will take us a bit longer to make decisions on applications, but this ensures that we are able treat all applications fairly and make offers to the most suitable applicants. We aim to make decisions as soon as possible and applicants should expect to hear from us by 31 March at the very latest.
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.
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.
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.
Maths at grade B and GCSE English at grade C
Please note that A level ICT or IT do not qualify for the lower level.
5 in maths at Standard/Higher Level or GCSE maths, 5 (B) or above. 36 with 6 in computer science at Higher Level, and 5 in maths at Standard/Higher Level or GCSE maths, 5 (B) or above
A*AA (AAA if you have an A in computer science/computing)
All candidates are considered on an individual basis and we accept a broad range of qualifications. The entrance requirements below apply to 2023 entry.
Please note: Applicants whose backgrounds or personal circumstances have impacted their academic performance may receive a reduced offer. Please see our contextual admissions policy for more information.
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:
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.
We recognise the potential of talented students from all backgrounds. We make contextual offers to students whose personal circumstances may have restricted achievement at school or college. These offers are usually one grade 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.
Due to the volume of applications we receive to our Computer Science courses from highly qualified candidates we operate a ‘gathered field’ selection process. This involves holding applications received by the UCAS equal consideration deadline 25th January 2023 and assessing them in one go. It will take us a bit longer to make decisions on applications, but this ensures that we are able treat all applications fairly and make offers to the most suitable applicants. We aim to make decisions as soon as possible and applicants should expect to hear from us by 31 March at the very latest.
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.
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.
*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.
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) .
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.
To help support our students, we offer an Excellence in Computer Science scholarship. There are three levels to the award, which range from 10-50% off your tuition fees. Scholarships are available for the duration of your course, if you meet progression requirements.
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.
*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.
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) .
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.
To help support our students, we offer an Excellence in Computer Science scholarship. There are three levels to the award, which range from 10-50% off your tuition fees. Scholarships are available for the duration of your course, if you meet progression requirements.
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.
Artificial intelligence is changing our homes, workplaces and lifestyles. Our course lets you explore this subject with optional modules in intelligent agents, autonomous systems, machine learning, and human-AI interaction.
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 is great for your CV and can help you make contacts ready for when you start your career.
The benefit of this course is you'll spend your third year abroad. You could be studying in Australia, Canada, Hong Kong, Ireland, Mexico, New Zealand or Singapore.
The final year includes masters-level modules. You have full choice of what you study. You could work on your programming skills or try something new like being a STEM ambassador. You can conduct a substantial research project as a fourth year dissertation.
You may recognise some of our tutors from the Computerphile YouTube series. It is this inspiring teaching that you can expect at Nottingham.
Artificial intelligence is changing our homes, workplaces and lifestyles. Our course lets you explore this subject with optional modules in intelligent agents, autonomous systems, machine learning, and human-AI interaction.
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 is great for your CV and can help you make contacts ready for when you start your career.
The benefit of this course is you'll spend your third year abroad. You could be studying in Australia, Canada, Hong Kong, Ireland, Mexico, New Zealand or Singapore.
The final year includes masters-level modules. You have full choice of what you study. You could work on your programming skills or try something new like being a STEM ambassador. You can conduct a substantial research project as a fourth year dissertation.
You may recognise some of our tutors from the Computerphile YouTube series. It is this inspiring teaching that you can expect at Nottingham.
Mandatory
Year 1
Computer Fundamentals
Mandatory
Year 1
Database and Interfaces
Mandatory
Year 1
Fundamentals of Artificial Intelligence
Mandatory
Year 1
Introduction to Software Engineering
Mandatory
Year 1
Mathematics for Computer Scientists
Mandatory
Year 1
Mathematics for Computer Scientists 2
Mandatory
Year 1
Programming and Algorithms
Mandatory
Year 1
Programming Paradigms
Mandatory
Year 1
Systems and Architecture
Mandatory
Year 2
Algorithms, Correctness and Efficiency
Mandatory
Year 2
Developing Maintainable Software
Mandatory
Year 2
Languages and Computation
Mandatory
Year 2
Operating Systems and Concurrency
Mandatory
Year 2
Software Engineering Group Project
Optional
Year 2
Advanced Functional Programming
Optional
Year 2
Artificial Intelligence Methods
Optional
Year 2
C++ Programming
Optional
Year 2
Distributed Systems
Optional
Year 2
Introduction to Human Computer Interaction
Optional
Year 2
Introduction to Image Processing
Optional
Year 2
Software Specification
Mandatory
Year 3
Year abroad
Optional
Year 4
Advanced Algorithms and Data Structures
Optional
Year 4
Advanced Computer Networks
Optional
Year 4
Autonomous Robotic Systems
Optional
Year 4
Data Modelling and Analysis
Optional
Year 4
Development Experience
Optional
Year 4
Fuzzy Logic and Fuzzy Systems
Optional
Year 4
Games
Optional
Year 4
Linear and Discrete Optimisation
Optional
Year 4
Malware Analysis
Optional
Year 4
Mixed Reality
Optional
Year 4
Group Programming Project
Optional
Year 4
Individual Research Project
Optional
Year 4
Individual Programming Project
Optional
Year 4
Programs, Proofs and Types
Optional
Year 4
Project in Advanced Algorithms and Data Structures
Optional
Year 4
Schools Experience
Optional
Year 4
Simulation and Optimisation for Decision Support
The above is a sample of the typical modules we offer but is not intended to be construed and/or relied upon as a definitive list of the modules that will be available in any given year. Modules (including methods of assessment) may change or be updated, or modules may be cancelled, over the duration of the course due to a number of reasons such as curriculum developments or staffing changes. This content was last updated on Friday 10 March 2023.
You will gain a basic understanding of the fundamental architecture of computers and computer networks.
You’ll learn how the simple building blocks of digital logic can be put together in different ways to build an entire computer.
You’ll also learn how modern computer systems and networks are constructed of hierarchical layers of functionality which build on and abstract the layers below.
You will spend five hours per week in tutorials, lectures and computer classes.
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.
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.
You will spend two hours per week in lectures for this module.
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).
You’ll cover the basic concepts in mathematics which are of relevance to the computer scientists.
These include:
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.
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.
You will spend around six hours per week in lectures, computer classes and tutorials.
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.
This module runs alongside 'Computer Fundamentals' and provides an expanded view by considering how real computer systems (such as ARM, x86, Linux and *BSD) and networks work.
You’ll also cover the principles of the lower level implementation of I/O using polling and interrupts, and the use of exceptions; how memory and storage are organized as well addressing the issues arising from multicore systems.
You’ll spend around five hours per week in tutorials, lectures and computer classes.
This module covers important aspects of algorithms, namely their correctness and efficiency.
You’ll study topics such as:
To address the issue of efficiency we cover the use of mathematical descriptions of the computational resources needed to support algorithm design decisions. The emphasis is upon understanding data structures and algorithms so as to be able to design and select them appropriately for solving a given problem.
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. You will spend around three hours per week in lectures and two hours per week in computer classes studying for this module.
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:
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.
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.
Working in groups of around five to six 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. Each group will meet twice a week, once with your supervisor and once without; you’ll also have four introductory one hour lectures.
Building upon the introductory Functional Programming module in year one, you’ll focus on a number of more advanced topics such as:
You’ll spend around four hours per week in lectures and computer classes.
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.
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.
This module covers the following topics:
An overview of the field of human computer interaction which aims to understand 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.
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:
You’ll spend around three hours in lectures and computer classes each week.
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.
For details on your study abroad year, see further information in the module information section.
You'll study the theory used in the design and analysis of advanced algorithms and data structures. Topics covered include string algorithms (such as for string matching, longest common subsequence), graph algorithms (such as for minimum cuts and maximum flows, and Google's pagerank algorithm), advanced data structures (such as Fibonacci heaps and Bloom filters), and randomised search heuristics (evolutionary algorithms). You'll learn all the necessary probability theory will be introduced, including random variables and concentration inequalities.
The theory is practiced in weekly labs where we learn how to implement the algorithms and data structures as functional and imperative programs (using the languages Haskell and C), and apply these to solve large instances of real-world problems.
This module will provide you with an advanced knowledge of computer communications networks, using examples from all-IP core telecommunications networks to illustrate aspects of transmission coding, error control, media access, internet protocols, routing, presentation coding, services and security.
The module will describe Software Defined Networks (SDNs) and provide examples of using them to enable very large scale complex network control. It will also provide advanced knowledge of various routing and query protocols in:
This module introduces you to the computer science of robotics, giving you an understanding of the hardware and software principles appropriate for control and localisation of autonomous mobile robots. A significant part of the module is laboratory-based, utilising physical robotic hardware to reinforce the theoretical principles covered. You will cover a range of topics including basic behavioural control architectures, multi-source data aggregation, programming of multiple behaviours, capabilities and limitations of sensors and actuators, and filtering techniques.
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:
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.
Students taking part in activities relating to programming experience such as developing apps in their spare time, contributing to open source projects, or building things in hackathons may receive academic credit for showing they have experience and excellent development skills. The emphasis of this module is that you provide evidence of your significant extra-curricular software development experience. Students will only be able to register for this module with the approval of the convenor/school, once the material for assessment has been checked.
This module aims to provide a thorough understanding of fuzzy sets and systems from a theoretical and practical perspective.
Topics commonly include:
You will also be exposed to some of the cutting-edge research topics in uncertain data and decision making, e.g., based on type-2 fuzzy logic as well as other fuzzy logic representations. You will develop practical systems and software in a suitable programming language.
This module covers the history, development and state-of-the-art in computer games and technological entertainment.
You will gain an appreciation of the range of gaming applications available and be able to chart their emergence as a prevalent form of entertainment. You will study the fundamental principles of theoretical game design and how these can be applied to a variety of modern computer games.
In addition, you will study the development of games as complex software systems. Specific software design issues to be considered will include the software architecture of games, and the technical issues associated with networked and multiplayer games.
Finally, you will use appropriate software environments to individually develop a number of games to explore relevant theoretical design and practical implementation concepts.
This module provides an entry point to computational optimisation techniques, in particular for modelling and solving linear and discrete optimisation problems like diet optimisation, network flows, task assignment, scheduling, bin-packing, travelling salesmen, facility location, vehicle routing and related problems.
In this module, you will learn to interpret and develop algebraic models for a variety of real-world linear and discrete optimisation problems to then use powerful optimization software (linear, integer and mixed-integer solvers) to produce a solution.
The module covers topics such as:
Optimisation technology is ubiquitous in today's world, for applications in logistics, finance, manufacturing, workforce planning, product selection, healthcare, and any other area where the limited resources must be used efficiently. Optimisation enables prescriptive analytics in order to support and automate decision-making.
This module looks at the practice of malware analysis, looking at how to analyse malicious software to understand how it works, how to identify it, and how to defeat or eliminate it.
You will look at how to set up a safe environment in which to analyse malware, as well as exploring both static and dynamic malware analysis. Although malware takes many forms, the focus of this module will primarily be on executable binaries. This will cover object file formats and the use of tools such as debuggers, virtual machines, and disassemblers to explore them. Obfuscation and packing schemes will be discussed, along with various issues related to Windows internals.
The module is practical with encouragement to safely practice the skills you're taught.
This module focuses on the possibilities and challenges of interaction beyond the desktop. Exploring the 'mixed reality continuum' - a spectrum of emerging computing applications that runs from virtual reality (in which a user is immersed into a computer-generated virtual world) at one extreme, to ubiquitous computing (in which digital materials appear embedded into the everyday physical world - often referred to as the 'Internet of Things') at the other. In the middle of this continuum lie augmented reality and locative media in which the digital appears to be overlaid upon the physical world in different ways.
You will gain knowledge and hands-on experience of design and development with key technologies along this continuum, including working with both ubiquitous computing based sensor systems and locative media. You will learn about the Human-Computer Interaction challenges that need to be considered when creating mixed reality applications along with strategies for addressing them, so as to create compelling and reliable user experiences.
Students undertake a programming project for an external client in self-formed groups of two to four students under the supervision of an academic member of staff. The client, which can be a company, charity, research group etc., but not the supervisor, provides a problem that requires a sufficiently challenging piece of software to be developed. The client and project idea could be provided by the students or the supervisor. However, projects must have aspects that are relevant to each student's programme of study; eg, there needs to be an artificial intelligence (AI) aspect if any AI students are involved.
The main assessed outputs are the developed software, including any end-user documentation, along with a 5,000-word document that outlines the development, design and implementation of the software, highlighting the most interesting aspects. The software must be developed in a professional and systematic manner appropriate for the problem domain. The assessment is informed by a statement from the external client on how well the developed software addresses the problem. Additionally, each student submits an individual 5,000-word report explaining his or her own contributions and giving a critical appraisal of how the project went, including group dynamics and the contributions of others.
Students undertake a research project in computer science supervised by an academic member of staff. The topic should fall within the supervisor's research interests and must further be relevant to the student's programme of study; in particular, projects undertaken by artificial intelligence (AI) students must have a strong AI focus. The project may be proposed by either the supervisor or the student, and may be theoretical, empirical, or even of survey type depending on what is appropriate and feasible for the area and topic. Projects, however, must ultimately be agreed with the supervisor concerned.
The results from the project are to be distilled into a conference-format research paper, authored by the student and constituting the main assessed output. There may, however, be further deliverables as dictated by the nature of the project. Any such deliverables are to be submitted (electronically) as supplementary material. A revised version of the paper, possibly co-authored with the supervisor, may subsequently be submitted for publication to an external venue, such as a conference or journal, if the work is judged to be of sufficiently high standard.
You will undertake a programming project relevant for AI for an External Client under the supervision of an academic member of staff.
The client, which can be a company, charity, research group etc., provides a problem that requires a sufficiently challenging piece of software to be developed. The client and project idea could be provided by the students or the supervisor. Each project must ultimately be agreed with the concerned Supervisor.
The main assessed outputs are the developed software, including any end-user documentation, along with a 15,000-word document that outlines the development, design and implementation of the software, highlighting the most interesting aspects.
The software must be developed in a professional and systematic manner appropriate for the problem domain.
The assessment is informed by a statement from the External Client on how well the developed software addresses the problem.
This module focuses on some of the fundamental mathematical concepts that underlie modern programming and programming languages emphasizing the role of types. We will use a dependently typed programming language/interactive proof system (eg Agda) to implement some concepts on a computer.
Example topics include
You will engage in a mix of lectures and working in the lab with an interactive proof system.
This project involves a self-guided study of a selected advanced algorithm or data structure. The outcome of the project is an analysis and implementation of the algorithm or data structure, as well as an empirical evaluation, preferably on a real-world data set of significant size.
Students taking part in approved activities, such as running code clubs in schools, organising school computing activity days, or becoming active STEM ambassadors, may receive academic credit for demonstrating they have actively contributed to the development of younger students. Students will have undertaken an agreed number of hours on the activities, identified personal goals and targets in relation to these activities and maintained a reflective portfolio as a record of evidence of their competence and achievements. Students will only be able to register for this module with the approval of the convenor/school, once the material for assessment has been discussed.
This module offers insight into the applications of selected methods of decision support.
The foundations for applying these methods are derived from:
Throughout the module, you will become more competent in choosing and implementing the appropriate method for the particular problem at hand. You will spend five hours per week in lectures, workshops, and computer classes for this module.
Teaching methods
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 20% with year three and four worth 40% each.
As a guide, one credit equals approximately 10 hours of work. 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. Core modules are taught by a mixture of professors, associate professors and teaching associates with help from PhD students and research staff.
Our graduates are developing the future of computer science. From start-ups to international companies, they are working in roles such as:
If research is something that interests you, then you could continue studying for a PhD.
Our graduates have gone on to work in companies such as:
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.
Average starting salary and career progression
91.8% of undergraduates from the School of Computer Science secured employment or further study within 15 months of graduation. The average annual salary for these graduates was £32,104.*
* HESA Graduate Outcomes Survey 2020 data extracted from the University of Nottingham Graduate Outcomes dashboard.
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 ten in The Graduate Market in 2013-2020, High Fliers Research.
British Computer Society (BCS)
Accredited by BCS, The Chartered Institute for IT for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional.
Accredited by BCS, The Chartered Institute for IT on behalf of the Engineering Council for the purposes of fully meeting the academic requirement for Incorporated Engineer and partially meeting the academic requirement for a Chartered Engineer.
Jubilee Campus has eco-friendly buildings, alongside green spaces, wildlife and a lake. You can walk to University Park Campus in around 20 minutes or catch a free hopper bus. Nottingham city centre is 20 minutes away by public bus.
Faculty of Science
3 years full-time
Qualification
BSc Hons
Entry requirements
A*AA (AAA if you have an A in computer science/computing)
UCAS code
G400
Faculty of Science
4 years full-time
Qualification
MSci Hons
Entry requirements
A*AA/AAA
UCAS code
G404
Faculty of Science
3 years full-time
Qualification
BSc Hons
Entry requirements
A*AA (AAA if you have an A in computer science/computing)
UCAS code
G408
Faculty of Science
4 years full-time
Qualification
BSc Hons
Entry requirements
A*AA/AAA
UCAS code
G407
Faculty of Science
4 years full-time
Qualification
MSci Hons
Entry requirements
A*AA (AAA if you have an A in computer science/computing)
UCAS code
G409
Faculty of Science
4 years full-time
Qualification
MSci Hons
Entry requirements
A*AA - AAA
UCAS code
G4G1
Faculty of Science
3 years full-time
Qualification
BSc Hons
Entry requirements
A*AA - AAA
UCAS code
G4G7
Faculty of Science
4 years full-time
Qualification
MSci Hons
Entry requirements
A*AA - AAA
UCAS code
G4GA
Our webpages contain detailed information about all processes in your student journey. Check them out alongside our student enquiry centre to find the information you need. If you’re still struggling, head to our help page where you can find details of how to contact us in-person and online.