Advanced Computer Science - MSc
Featuring an innovative blend of theory, practical skills development, real-world problem solving and industry experience, this MSc in Advanced Computer Science is designed for existing Computing graduates who are looking to extend their specialist knowledge and pursue more senior roles in IT, in industry, teaching or research.
We are in the process of refreshing our curriculum for the 2025/26 academic year to reflect best practices and the latest advancements in academia. New course content and modules will be available on this course page in due course.
Month of entry
- September
Mode of study
- Full time
Fees for 2025/26 academic year
- UK - Full time £11,400 per year.
International - £17,700 per year.
Duration of study
- 1 year full-time
Why study Advanced Computer Science at Keele University?
Course summary
In today’s hi-tech world, as organisations seek to streamline processes and increase efficiency, there is a growing demand for highly-skilled professionals who can harness the power of accelerating digital transformation in everything from intelligent automation to cloud computing, cybersecurity and big data.
This MSc in Advanced Computer Science is intended for graduates who studied Computing, Computer Science or a closely-related subject at undergraduate level and are looking to develop a higher level of understanding and advanced skills which reflect cutting-edge developments and technologies within the field.
The course covers a wide range of practical skills and theory that students can chose from, including advanced programming, machine learning and AI, cyber security and cryptography and advanced data analysis and the use of cloud computing infrastructure. Taught by our experienced lecturers, with opportunities for hands-on experience using our state-of-the-art facilities and equipment, you can learn a wide range of in-demand skills and techniques, including manipulating large amounts of data, designing and building complex and secure applications, leveraging and provisioning cloud services and developing autonomous systems.
As part of our focus on preparing you for industry, you will have the opportunity to study a module where you work collaboratively with students on all of our MSc programmes to develop an application for one of our industrial collaborators.
You’ll have multiple opportunities to apply your learning to real-world problems with the choice of taking either an industrial placement* or tackling an industry-related problem as part of an MSc project. Examples of companies where students have previously undertaken an industry placement include Synectics Solutions, Collective Crunch and Greenhous.
By the time you graduate, you’ll have gained the technical knowledge and practical skills necessary to design, build, deploy and evaluate distributed information systems and enterprise applications over the Internet, with a focus on security issues.
With a long-standing tradition in teaching Computer Science since 1972, Keele takes pride in being at the forefront of computer science education and research today. The School of Computer Science and Mathematics offers an inclusive, dynamic community of experts with access to world-leading research and cutting-edge areas of industry, such as cloud computing, data mining and web technologies.
Smaller class sizes allow you to foster close relationships with colleagues and peers, while industry-led projects and practitioner guest lecturers provide valuable networking opportunities. In the past, students have enjoyed talks from our industrial partners from the SEND project, software developers from national companies, such as Bet365, and academic experts.
*Please note that the choice of industry placement will be dependent on your suitability and availability of an appropriate placement.
Other courses you may be interested in:
Next steps
"I would recommend this course to anyone looking to further their studies in computer science to aid in a PhD application or further their career in industry because it is a fantastic way of learning and demonstrating your skills to potential employers or academic supervisors"
Course structure
The MSc in Advanced Computer Science is designed to teach a range of advanced topics and skills to students with a solid foundation of knowledge and programming, whose first degree is in Computing or a related subject.
With a September start date, this course is studied full-time over one year. Should you wish for more flexibility with your studies, we also offer 100% online part-time Computer Science programmes, with routes in Data Analytics and Artificial Intelligence (AI).
During the first part of the programme, you will study eight taught modules (120 credits) over the first two semesters. The first two modules provide you with advanced knowledge in programming and mathematical principles related to data science. You then choose between a variety of modules that cover topics from cyber security, machine learning and AI, visualisation, Cloud Computing and intelligent systems.
The second part of the programme gives you freedom to choose between either a formal academic project supervised by an academic expert from the School or opt for an industry placement. You’ll be able to discuss with your academic supervisor which type of project or placement is most suitable, based on your performance during the taught modules. Both options will enable you to put in to practice and apply the skills and knowledge learned throughout the course.
To achieve the MSc, you must complete 180 credits. There are two interim awards available, depending on how many modules have been successfully completed: a Postgraduate Certificate for any two modules (60 credits); and a Postgraduate Diploma for all four taught modules (120 credits).
Modules
The module details given below are indicative, they are intended to provide you with an idea of the range of subjects that are taught to our current students. The modules that will be available for you to study in future years are prone to change as we regularly review our teaching to ensure that it is up-to-date and informed by the latest research and teaching methods, as well as student voice. The information presented is therefore not intended to be construed and/or relied upon as a definitive list of the modules available in any given year.
Semester 1
Core modules
Research Methods - 15 credits
Provides you with the knowledge and skills required to be able to undertake a simple literature review of a research topic related to the Division's research in AI and data science, and to develop a novel research idea and plan for a research proposal.
Mathematics for A.I. and Data Science - 15 credits
Introduction to the mathematical concepts relevant to A.I. and Data Science for students from non-mathematical backgrounds.
Optional modules
Cloud Computing - 15 credits
In recent years many organisations have migrated applications to cloud computing providers. This module explores the underlying technologies, the practical and ethical issues involved. Reliability and performance concerns are addressed, together with the crucial issues relating to the security and privacy of data stored and managed remotely. Key is the ability to analyse and objectively assess claims made by global software companies relating both to the efficacy of their products and compliance with global objectives in environmental impacts. Putting your knowledge into practice, you’ll design and implement a cloud-based application, producing a technical report to outline the features implemented and evaluating its performance. Previously, for example, students have assessed the benefits of a Cloud infrastructure when developing web-based or big data related applications.
Distributed Intelligent Systems - 15 credits
Intelligent systems are increasingly present in our life, including the home and industrial environments. These systems include intelligent household appliances, wearable computing devices (e.g., health and fitness monitors), computers, sensor networks in cars, buildings, and complex engines, and so on. This module provides the knowledge and skills required to develop applications to control intelligent systems in a distributed and collaborative context, including the programming of robots or intelligent home appliances such as, for example, a TV or fridge that are equipped with embedded computers.
Advanced Programming in Python - 15 credits
This module provides a deeper understanding of object-oriented programming and of the concept of parallelism and concurrent programming.
Human Factors of Cyber Security - 15 Credits
"Security measures cannot be effective if humans are neither willing nor able to use them" (The Cyber Security Body Of Knowledge, 2019). Since the early 2000's, there has been an increased appreciation of the role that human factors have in the underlying causes of security failures. Security measures are often not adopted because humans are treated as components whose behaviour can be specified through security policies, and controlled through security mechanisms and sanctions. Humans are often described as the ‘weakest link’ in a system but security needs to be usable and acceptable to be effective.
This module, based on the "Human Factors Knowledge Area" of 'The Cyber Security Body Of Knowledge', aims to provide a foundational understanding of the role of human factors in cyber security. This will include an exploration of human strengths and weaknesses, the importance of user research and task analysis (both for security and primary/everyday tasks) and the design of well-fitting security tasks.
It will also cover appropriate strategies and methods for raising security awareness as well as behaviour change within an organisation by education and training e.g. games and simulations. It will also highlight the importance of creating a positive security culture where individuals or groups are encouraged to become more involved in decision-making about security, and being part of delivering it.
Semester 2
Optional modules
Collaborative Application Development - 15 credits
Gives an opportunity to overcome the practical difficulties of working with stakeholders and team members to produce applications to solve A.I. and Data Science problems.
Visualisation for Data Analytics- 15 credits
Equips you with an appropriate understanding of the use of Data Analytics within areas such as health, security, science and business and with a variety of Data Visualisation techniques to interpret trends and patterns in big data.
Data Analytics and Databases - 15 credits
This module equips you with the knowledge of database operations and a variety of tools and statistical techniques to enable you to make sense of the exponential growth of big data. You will understand big data issues, advanced analytics and statistical modelling techniques and evaluate their applicability for different types of problems.
Applications of A.I., Machine Learning and Data Science - 15 credits
Equips you with knowledge and experience of a variety of cutting edge A.I. and Machine Learning techniques applied to “real-word” problems and datasets.
Cryptography - 15 Credits
This module will cover the various types of cryptography and the fundamental security goals achieved through the different cryptographic algorithms, protocols and major cryptographic analysis techniques, as well as possible countermeasures for each technique. Significant emphasis is placed on how algorithms are attacked and the characteristics of these attacks that make them effective. You will also cover the properties that an algorithm must have in order to resist such attacks.
Cybersecurity - 15 Credits
This module aims to provide you with an understanding of advanced topics in cyber security and explores the key aspects of the different areas of cyber security. You will cover recent and emerging advances in cyber security, including cryptography, encryption, network security and distributed systems security. You will also explore human factors in cyber security and privacy at an advanced level. The module will be assessed with a group project that aims to develop your critical analysis and academic writing skills.
Semester 3
CSC-40040 MSc Project OR CSC-40035 Industrial Placement - 60 credits
After the taught modules have been completed you have the choice to undertake a formal academic project supervised by academic staff in the School or to take an industrial placement in a relevant company or organisation. In both options you will apply the skills you have learned during the taught modules. The decision about the type of project or placement you will do will be made together with the academic supervisors and will be based on your performance during the taught modules.
Next steps
I am delighted to share that I was awarded the British Council GREAT Scholarship (2024) to pursue my master’s degree in Advanced Computer Science at Keele University. Since relocating to the UK, my journey has been nothing short of amazing. During my time here, I've successfully balanced academics and extracurriculars, leading to notable achievements. Residing on the university campus has provided me with the opportunity to forge meaningful connections and friendships with fellow students. Exploring various cities and actively participating in events organised by the Keele Postgraduate Association (KPA) have added depth and diversity to my overall experience. I am immensely grateful for the opportunity afforded to me and am determined to make the most of it.
Entry requirements
PRE-MASTER'S IN COMPUTING
The Keele University International College offer a one semester Pre-Master's in Computing programme for international students who do not meet the traditional entry requirements for a postgraduate computing degree at Keele University.
Please visit the Keele University International College for more information on how to apply, entry requirements and course details.
Next steps
Entry requirements
The following section details our typical entry requirements for this course for a range of UK and international qualifications. If you don't see your qualifications listed, please contact us to find out if we can accept your qualifications.
Typical offer
Please ensure that you read the full entry requirements by selecting your qualifications from the dropdown menu below. This will include any subject specific, GCSE/Level 2 Maths, and English language requirements you may need.
Please select your country from the drop-down list below for the full entry requirement information
UK
2:2 degree in a computing, science, maths or engineering subject
or
demonstrated relevant professional qualifications or experience
You will also need: an English language qualification (see below)
Bangladesh
60% in a 4-year degree or 3-year degree with a 2-year Master's in a computing, science, maths or engineering subject from a public university
or
CGPA 2.8 in a 4-year degree or 3-year degree with a 2-year Master's in any computing, science, maths or engineering subject from a private university
or
demonstrated relevant professional qualifications or experience
We don’t accept degrees from certain universities, please see our Bangladesh Country Page for more information
You will also need: an English language qualification (see below)
Canada
70% or C or a GPA of 2.5 in a degree (Ordinary or Honours) in a computing, science, maths or engineering subject
OR
demonstrated relevant professional qualifications or experience
You will also need: an English language qualification (see below)
China
70% in a degree in a computing, science, maths or engineering subject or 65% in a degree in any computing, science, maths or engineering subject from a '211' university
or
demonstrated relevant professional qualifications or experience
You will also need: an English language qualification (see below)
Ghana
Second class degree in a computing, science, maths or engineering subject
or
demonstrated relevant professional qualifications or experience
You will also need: an English language qualification (see below)
India
55% or CGPA 6/10 in a degree of at least 3 years in a computing, engineering, maths, or science subject
or
demonstrated relevant professional qualifications or experience
You will also need: an English language qualification (see below)
Kenya
Second class degree in a computing, science, maths or engineering subject
or
demonstrated relevant professional qualifications or experience
You will also need: an English language qualification (see below)
Nepal
60% / 2.4 in a 4-year Bachelor's degree in a computing, science, maths or engineering subject
or
65% / CGPA 2.8 in a 3-year Bachelor's degree in a computing, science, maths or engineering subject
or
demonstrated relevant professional qualifications or experience
You will also need: an English language qualification (see below)
Nigeria
Second class degree in a computing, science, maths or engineering subject
or
demonstrated relevant professional qualifications or experience
You will also need: an English language qualification (see below)
Pakistan
We accept a range of qualifications from Pakistan. Please visit our Pakistan Country Page for more information
or we will consider demonstrated relevant professional qualifications or experience
You will also need an English language qualification (see below)
South Africa
Second class division 2 / 60% in a Bachelor's degree with Honours in a computing, science, maths or engineering subject
or
Second class division 1 / 70% in an Ordinary Bachelor's degree in a computing, science, maths or engineering subject
or
demonstrated relevant professional qualifications or experience
You will also need: an English language qualification (see below)
Sri Lanka
55% in a Special Bachelor's degree in a computing, science, maths or engineering subject
or
demonstrated relevant professional qualifications or experience
You will also need: an English language qualification (see below)
Uganda
Second class degree in a computing, science, maths or engineering subject
or
demonstrated relevant professional qualifications or experience
You will also need: an English language qualification (see below)
Zimbabwe
Second class degree in a computing, science, maths or engineering subject
or
demonstrated relevant professional qualifications or experience
You will also need: an English language qualification (see below)
PRE-MASTER'S IN COMPUTING
The Keele University International College offer a one semester Pre-Master's in Computing programme for international students who do not meet the traditional entry requirements for a postgraduate computing degree at Keele University.
Please visit the Keele University International College for more information on how to apply, entry requirements and course details.
English language requirements
All of our courses require an English language qualification or test. For most students, this requirement can be met with a 4 or C in GCSE English. Please see our English Language guidance pages for further details, including English language test information for international students. For those students who require an English language test, this course requires a test from Group B.
References
Normally, you will need to provide at least one academic reference to support your application unless you have been out of study longer than two years. If it has been more than two years since you last studied on a degree-level programme, you will normally need to provide an employment reference instead. For more information about Academic References, please see our Postgraduate how to apply web pages.
Personal Statement/Statement of Purpose
Please see our Postgraduate how to apply web pages for guidance on what to include in your personal statement.
Recognition of Prior Learning
The Recognition of Prior Learning (RPL) is a process which enables applicants to receive recognition and formal credit for learning acquired in the past through formal study or work and life experiences.
RPL can also be requested for admission onto the start of a programme in lieu of the admission requirements. For more information, see our Recognition of Prior Learning web pages.
Professional qualifications and work experience
The majority of our courses will consider relevant work experience and/or professional qualifications at the appropriate level, as an alternative to an undergraduate degree for entry. The work experience should be for a sustained period and at a suitable level, based within a relevant sector to your chosen course.
Admissions staff will review your work experience and/or professional qualifications during the assessment of your application to ensure suitability in terms of relevancy, level and appropriate learning outcomes.
General information
The entry grades outlined in this section indicate the typical offer which would be made to candidates, along with any subject specific requirements. This is for general information only. Keele University reserves the right to vary offer conditions depending upon a candidate's application.
"This course has been hugely beneficial to me with a variety of interesting modules to help my future employment"
Funding
It's important to plan carefully for your funding before you start your course. Please be aware that not all postgraduate courses are eligible for the UK government postgraduate loans and, in this case, you would be expected to source alternative funding yourself. If you need support researching your funding options, please contact our Financial Support Team.
Please note, if your course offers a January start date, the January 2025 start date falls in the 2024/25 academic year. Please see the January 2025 fees for the relevant fees for starting this course in January 2025
Planning your funding
It's important to plan carefully for your funding before you start your course. Please be aware that not all postgraduate courses and not all students are eligible for the UK government postgraduate loans and, in some cases, you would be expected to source alternative funding yourself. If you need support researching your funding options, please contact our Financial Support Team.
Scholarships
We are committed to rewarding excellence and potential. Please visit our scholarships and bursaries webpage for more information.
For continuing students, fees will increase annually by RPIX, with a maximum cap of 5% per year.
Next steps
Your career
The rising profile of AI, global cyber security, social media safety, and tech’s role in understanding and tackling some of society’s biggest challenges, such as climate change and pandemic modelling, is fuelling the demand and interest in computer science, according to the BCS.
The IT sector is still growing faster than the rest of UK economy and a shortage of specialised skills mean the demand for graduates is not set to slow any time soon. In fact, three-quarters of IT decision-makers across the world reported critical skills gaps across tech departments, a number that has increased significantly in the past five years.
The School’s focus on developing research, consultancy, professional and practical skills prepares you for a broad range of development and management roles. Essential skills you’ll develop, which are highly valued by employers, include personal drive, prioritising and planning, project management, teamwork, critical thinking, problem solving, evaluating and reflecting upon your experience.
Students from this course have pursued careers in data science, web development, networking, systems analysis and development, and software engineering, working for a range of different companies, such as Greenhous Group and Radius Payment Solutions. Others have become freelance application developers and you could easily move into a teaching career within secondary, further or higher education.
Some of our students, having worked on advanced projects in Keele’s Smart Energy Network Demonstrator, have chosen to remain here at Keele to study a PhD after successfully completing their MSc.
Roles that are related to your degree include:
- Academic
- Analyst
- Application analyst
- Business analyst
- Computer programmer
- Computer systems specialist
- Customer service assistant
- Data analyst
- Database administrator
- Engineering manager
- Head of development
- Information systems manager
- IT consultant
- IT developer
- Lecturer
- Mobile developer
- Project manager
- Senior technical manager
- Software developer
- System engineer
- Teacher
- Technical assistant
- Technical consultant
Next steps
Teaching, learning and assessment
Teaching
The programme is delivered through a variety of learning and teaching activities designed to develop a blend of academic, professional and practical skills. In addition, you’ll have one-on-one meetings with individual academic supervisor, which may take place online or face-to-face.
Formal lectures are used to introduce key concepts, supplemented by smaller group tutorials and practical sessions dependent on the topics being covered in the module. This helps to consolidate your understanding of the material and the practicalities of its application in a modern business environment.
Though there are taught components to the course, we place a strong emphasis on student-led learning and research to help develop your independent research skills and technical skills, with support from teaching staff and technicians. All students are expected to engage in independent study for the duration of the programme and each week we will post digital resources line for you to work through before teaching sessions. Our Virtual Learning Environment gives you online access to a range of digital resources and tools, which includes relevant academic texts via the IEEE Xplore® digital library and eBooks.
You will be taught by experienced, well-qualified staff who are research-active within the discipline, accomplished at working on research-funded projects nationally and internationally, and eager to share their teaching, research and professional experience to help you achieve success in your studies.
Recognising the importance of engaging first-hand with practitioners, where possible, we also invite guest speakers from industry and business to give you a real-life perspective on the topics you’re studying. For example, the Research and Consultancy module has previously featured guest lectures from a small business owner, who discussed their experiences, negative and positive, about working with consultants and other small companies, and a Senior Research Developer from Wharton School at the University of Pennsylvania.
Assessment
You will complete formal assessment on all modules. The wide variety of assessment methods used on this programme at Keele reflects the broad range of knowledge and skills that are developed as you progress through the degree programme. This includes unseen examinations, class tests and various pieces of coursework, such as programming tasks, implementing a web-based application, presentations and reports (e.g., on data storage and user interaction (UI) design).
When it comes to your final assessment, this varies depending on whether you choose the Industrial Placement or Research Project. For the placement, you will complete a 7,000-word report giving a reflective account of your experience of the organisation and the work carried out during the placement; a 2,000-word reflective diary, which can be in the form of a blog; a presentation to your host company management team; and coursework based on information from your employer. Whereas, for the MSc Project, a dissertation of between 10,000 to 15,000 words in length forms your main assessment. You will also prepare a poster describing your interim progress part way through the project.
Next steps
Keele Postgraduate Association
Keele University is one of a handful of universities in the UK to have a dedicated students' union for postgraduate students. A fully registered charity, Keele Postgraduate Association serves as a focal point for the social life and welfare needs of all postgraduate students during their time at Keele.
Hugely popular, the KPA Clubhouse (near Horwood Hall) provides a dedicated postgraduate social space and bar on campus, where you can grab a bite to eat and drink, sit quietly and read a book, or switch off from academic life at one of the many regular events organised throughout the year. The KPA also helps to host a variety of conferences, as well as other academic and career sessions, to give you and your fellow postgraduates the opportunities to come together to discuss your research, and develop your skills and networks.
Our expertise
Teaching staff
The School of Computer Science and Mathematics has a long, well-established history of industry-focused teaching and internationally recognised research: Mathematics was one of the University’s inaugural subjects back in 1948, while Computing has been taught since 1972, one of the first programmes in the UK.
Our academics specialise in a wide variety of branches of computer science and mathematics, including: computational neuroscience; software engineering; evolutionary systems, ML and computational intelligence; fluid dynamics and acoustics; solid dynamics and elasticity; biomechanics and biomedical engineering; pure mathematics; and statistics.
We are known for our focus on data analytics and data modelling, with pioneering work taking place on the interface of computing, mathematics and engineering, notably in relation to smart energy management and optimisation, and metal detection.
Excellent industry links include the British Computer Society (BCS), the Chartered Institute for IT, and we have worked on several collaborative projects with businesses. For example, we developed innovative data mining processes to allow Bentley Motors Ltd, the global automotive company, to exploit the value hidden in the data it owns and collects. We are also members of The Virtual Cuneiform Tablet Reconstruction Project, an international project to support virtual access to artefacts featuring cuneiform, humankind’s earliest writing.
We have also been fortunate over the years that a number of companies, both large and small, local and international, have been able to provide work placements, project briefs and feedback on the latest industry trends to ensure course content remains relevant and up-to-date up. These have included representatives from Synectics Solutions Ltd, Powelectrics, SSE Enterprise Energy Solutions, Santander, Caja Ltd, and Hildebrand Technology Limited.
Teaching team includes:
Dr Theo Kyriacou (Programme Director), Senior Lecturer – Theo joined Keele in 2007, following three years working as a post-doctoral research at the University of Essex. His research interests lie in the fields of biologically-inspired robotics, data-mining/machine-learning, systems modelling and computer science education, which he has applied in the areas of health and rehabilitation, chemistry, biology, medicine and learner analytics.
Dr Alastair Channon, Reader (Computing) – Alastair worked in the software industry (at Micro Focus) before embarking on his academic career, which included lecturing at the University of Portsmouth and University of Birmingham prior to his move to Keele University in 2007. His primary research interest is in the open-ended evolution of neurally controlled animats and he is best known for having created the only closed system other than Earth's biosphere to have passed the enhanced statistical ‘ALife Test’ for open-ended evolution. Alastair's recent publications have included significant results on the relationship of mutation rate to population size, with clear implications for biological extinction events, and to fitness, computed over both abstract and biological fitness landscape.
Dr Sandra Woolley, Reader (Computing) – Sandra leads Software and Systems Engineering Research in the School. She is a Fellow of the British Computer Society (FBCS), a Senior Member of the Institute of Electrical and Electronics Engineers (SMIEEE) and a Fellow of the Higher Education Academy (FHEA). Sandra originally trained as a graduate engineer with Lucas Aerospace UK before completing a Data Engineering PhD at The University of Manchester, sponsored by both British Gas (Pipeline Inspection) and ICI ImageData. Prior to joining Keele, she lectured at the University of Birmingham and worked as as a researcher at the US-based National Institute of Standards and Technology (NIST). She has strong multidisciplinary research interests around human-computer interaction (HCI), digital technology and ‘fair digital living’, and she leads and contributes to international multidisciplinary research collaborations.
Professor Ed de Quincey, Professor of Computer Science – Having previously worked as a Principal Lecturer at the University of Greenwich, and a Researcher at City University, London, Ed joined Keele in 2014. He has worked in the area of online human behaviour for 18 years, looking into the usability and impact of websites, as well as uses of the information that they collect. This has included investigations into the potential of Twitter to detect disease outbreaks and hay fever seasons in the UK, the use of social media by charities, and investigations into the use of other Web 2.0 tools to support e-Learning.
Dr Thomas Neligwa, Lecturer (Computing) – Thomas studied both his MSc and PhD at Keele, before becoming a lecturer in Computer Science in 2001. Prior to this, he worked as a Software Engineer for Service and Computer Industries SCI/NCR (Tanzania) and later as an Assistant Lecturer at the Institute of Finance Management (IFM) in Tanzania. His research focuses on architectures and intelligent techniques for structure data exchange, retrieval and control. He spent seven years working on a large, international project to develop intelligent manufacturing systems known as Holonic Manufacturing Systems (HMS), in collaboration with leading manufacturing companies including DaimlerChrysler and Softing GmbH (Germany), Toshiba and Fanuc Robotics (Japan), and Rockwell Automation (USA).
Next steps
Facilities
The School of Computer Science and Mathematics was established over 50 years ago and is recognised today as being at the forefront of computer science education and research. Proud holders of the Athena SWAN Bronze Award, we have embedded equality, diversity and inclusion (EDI) within both the School and our programmes. We regularly promote events for women studying science, technology, engineering, mathematics and medicine (STEMM) subjects, such as the annual BCS Women Lovelace Colloquium, the national conference for undergraduate and MSc women in computing.
Located in the Colin Reeves Building, our facilities currently house seven computer laboratories comprising around 200 desktop PC, accessible 24 hours a day, every day (with prior approval of key fob). Every PC has the current hardware and software needed for all modules on our degree programmes and provide both Microsoft Windows and the Linux operating system. Facilities also include a dedicated VR lab, gaming lab, our own Makerspace with 3D printers, a Vicon motion-tracking system, Raspberry PIs, Arduinos and dedicated PCs. We provide various web servers and a cloud computing facility for student use. We also host a high-performance CUDA GPU Supercomputer Cluster for use across campus.
The Overclockers UK Gaming Lab
Based in the Colin Reeves building, this state-of-the-art gaming station laboratory is named after its sponsor, who donated 24 high-spec gaming PCs. These are available for use by students during their lectures and exclusively to Keele Esports Society members in the evenings as a training facility. The Society is open to students who are interested in all aspects of competitive gaming, on both the professional scene and the amateur level.
Central Science Laboratory (CSL)
An entire floor of the University’s £34m Central Science Laboratory (CSL) is fully equipped with PCs featuring all our necessary software and is used for practical lab sessions. CSL opened its doors to students in September 2019 and provides 5,300m2 of modern, co-located science laboratories. Over £2m alone has been spent on industrial research-grade analytical and laboratory equipment that will be used by students in their day-to-day laboratory teaching. Access to state-of-the-art facilities and high specification equipment will ensure you are well prepared for scientific or industrial employment post-graduation. The environment mirrors the multi-faceted nature of working life and the shared space allows group working and collaboration between disciplines, building the skills and experience much valued by employers.
Living Lab
Our unique self-contained campus, with over 600 acres of grounds including forests and lakes, has provided an ideal setting to establish itself as a testbed for real-world teaching, learning and research opportunities as a ‘true Living Lab’. Featured as a national best practice case study in the promotion of sustainability exchange, initiatives such as the SIMULATE (Smart, Infrastructure and Mobility Urban Laboratory and Test Environment) and Smart Energy Network Demonstrator (SEND) projects, contributed to Keele being named Global Sustainability Institution of the Year (International Green Gown Awards, 2020).
SIMULATE, which received funding from the Government’s SMART Place Live Labs initiative, is focused on how to design and maintain a smart highways network. The £15m SEND programme was the first of its kind in Europe to demonstrate how smart energy technologies can support ‘intelligent’ energy generation, distribution, storage, forecasting and energy balancing. Our researchers have worked with businesses on a range of projects: anomaly detection for Internet of Things applications; use of deep reinforcement learning techniques for a smart energy management system; data analytics solutions for the Industrial Internet of Things; and Digital Twins.
Digital Society Institute
Keele’s new Digital Society Institute is a collaborative research centre focused on data and digital technology that will allow companies in the business, health, and cultural sectors to innovate and expand in a competitive and dynamic business environment. Launching in 2022, the Institute will be based within IC7 and will have access to a Data Visualisation Suite, office space, and hi-tech meeting and collaboration space. The facility, which will enable businesses to keep pace with fast-changing technologies, is expected to support over 400 SMEs over an 18-month period. Specialist equipment it will host includes: a state-of-the-art £330,000 high-performance computing cluster for data-driven research; a new VR/Interaction Laboratory; VR headsets; high-specification computers; a CAVE environment; eye-tracking glasses; 360-degree cameras; a high resolution hand-held 3D scanner; and a 3D printer.
Next steps