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Choose your year of study

2026
2027
Start date(s)
September 2026
Location
Leeds City Campus
School
Computing and Creative Industries
UCAS tariff points
112
Study mode
Full-time (3 years)
Study abroad
Yes
Call us now - 0330 058 4266
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This course is available in Clearing 2026.

Have your final results? Apply today.

Apply through Clearing Call us now - 0330 058 4266

Are you interested in how cyber security is used to help defend computer systems against digital crime?

Would you like to learn to design, implement and manage cyber resilience initiatives?

This course provides a comprehensive introduction to computer science with a focus on cyber security, including the tools and techniques used to secure and protect computer systems, networks and data.

About this course

There is an urgent need to find solutions and answers to the ongoing threat of digital crimes, coupled with a skills gap in information security and data privacy across the employment sector.

This degree is designed to equip you with the theoretical, conceptual and practical skills needed to defend and mitigate possible threats in computing and networking environments.

You’ll gain a broad perspective on the handling of sensitive and confidential information, including consideration of government regulation and ethics.

Our academic experts will introduce you to the tools, frameworks and concepts used by adversaries (black hat) to compromise computer systems. You’ll use this knowledge to develop mitigation strategies and build strong defensive walls across the computer network and computing infrastructure.

You’ll develop practical hands-on, technical skills and awareness of the core concepts, theories and principles of how to secure data and information against breach and compromise.

Through industry led events and employer projects included in your degree, you’ll learn about current practices in the cyber security industry and be able to put theory into practice, while building your employability skills, such as teamwork and leadership.

The course provides additional opportunities to obtain professional industry-recognised certifications in areas relevant to hacking and cyber security, such as Cisco Certified Network Associate (CCNA), Microsoft Certified Ethical Hacker and CompTIA Penetration Tester (PenTest), which can help you stand out in the job market.

You’ll graduate ready to apply your acquired knowledge to design, implement, manage and lead initiatives on cyber intelligence, cyber resilience and threat mitigation, working to secure data for both public and private employers in a range of computing and business-related contexts.

Why study with us?

  • Gain a comprehensive understanding of threat mitigation strategies and cyberdefense intelligence.
  • Develop your applied knowledge of core theories, concepts, principles and policy regulations of data privacy.
  • Enhance your CV through opportunities to obtain professional certifications from tech giants, including Cisco and Microsoft.
Computer Science student working at a computer.

Our achievements

Ranked Top in Yorkshire for Student Satisfaction

The Complete University Guide 2027 – Student Satisfaction Subject League table, released June 2026

Placement year opportunities

Launch your career with a year-long placement

A Placement year is a fantastic opportunity to enhance your professional development while gaining valuable industry experience.

From September 2027, we will offer placement years across our undergraduate Computer Science degree programmes, giving you the chance to build employer-ready skills, apply your learning in practice, explore different career paths, and earn while you learn through paid placement opportunities.

Find out more
A group of three students looking at a computer in a modern study space at the Leeds Trinity University City Campus.

Course modules

You will study a variety of modules across your programme of study. The module details given below are subject to change and are the latest example of the curriculum available on this course of study.

Year 1

During your first year, you will study five core modules.

Software Development – Core

You'll be introduced to the fundamentals required to develop software artefacts fit for real-world organisational and commercial purposes. 

Explore three stages of software development: problem specification, programming and architectural design.

We'll look at problem decomposition and programming, mathematical algorithms and computing problems, writing modular code and adopting relevant stylistic conventions and testing in project planning and implementation.

 

 

Tech Stack – Core

The web is now a ubiquitous medium that crosses platforms from desktop and mobile to the Internet of Things (smart; homes, car, cities) for both personal and collaborative experiences.

The ways in which we design for, develop and deploy these applications constantly evolves, due to the increasing and changing needs of users, society and enterprise. With this in mind, designers need to evolve the way that they design for future platforms.

With a rise in web-based solutions, data driven philosophies are founded upon a platform agnostic approach to designing for the web. This data needs to be stored securely, parsed and presented to the user in a way that builds trust, and is interactive and insightful.

You'll focus on modern web applications in the era of cloud computing.

Computing Skills – Core

You'll be encouraged to engage in a comprehensive audit and introspection of your computing skills and career aspirations. The aim is to create a dynamic learning environment that empowers you to not only understand you current proficiency in computing but also to reflect upon and refine your career goals throughout your academic journey.

Learn the basics of computer networking, both from a technical approach and a holistic viewpoint. Enhance your problem-solving abilities, refine your communication skills and acquire a keen attention to detail.

You'll be equipped students with a well-rounded toolkit that goes beyond the technical aspects of computing, preparing you for the multifaceted challenges in your future careers.

You'll also actively participate in a Professional Challenge Project or undertake a meaningful work placement.

User Experience – Core

Discover the processes of interface design, evaluation and user experience.

You'll cover computer users, interaction technology and concepts, interaction applications, and the context of computer use. 

Learn about user interface design using prototyping, and about methods for evaluating user experience. Practise key design and evaluation techniques in the context of your assessments.

In the UX Team Project activities, you'll learn how to work in teams and apply Agile development methods to deliver a UX solution. This may be employer led and be accompanied by a live brief. 

Year 2

During your second year, you will be required to study four core modules.

Ethical Hacking – Core

Ethical hacking embodies the idea of proactively identifying vulnerabilities before malicious attackers can exploit them, allowing for timely fixes and the mitigation of associated risks. This approach not only aids in fortifying cybersecurity defences but also serves as a vital tool to assess the resilience of computer systems. 

You'll explore a diverse range of ethical hacking concepts, tools and techniques. Acquire the knowledge and skills necessary to implement effective solutions for identified threats, contributing to the overall enhancement of cybersecurity measures.

 

Algorithms and Data Structures – Core

You'll develop computational thinking as fundamental problem solving expertise within the realm of core computer science knowledge, expected of and utilised by all computing practitioners.

Study the core algorithms and data structures and be introduced to algorithm analysis and basic computability.

Learn about data types such as stacks, queues, trees and graphs, understand time and space complexity, write and explain commonly used algorithms, use a variety of different data structures and understand the concepts of computability and complexity.

Delve into the computational facets of data representation and fostering familiarity with established, proven solutions to recurring problems encountered in various computing contexts and practical applications.

Computer Networking and Security – Core

Networks are integral components of most computer systems. You'll be  introduced to the fundamentals of networking and networked systems, with the necessary knowledge to explore computer network standards and protocols with a specific focus on security considerations.

Delve into practical skills required to design a network tailored to a particular business scenario, emphasising the importance of incorporating robust security measures. 

You'll obtain a combination of theoretical knowledge and hands-on experience to enable you to not only comprehend networking concepts but also apply them in real-world scenarios, ensuring the creation of secure and efficient computer networks.

 

Thematic Project – Core

Through the lens of agile methodology, you’ll engage in a programme specific group project immersing yourself in a collaborative and dynamic work environment.

Your understanding of social, professional, ethical and legal dimensions of computing will be reinforced as well as a focus on equality and diversity. This module acts a crucial preparatory step for your final year project and introduces vital elements such as teamwork, project planning and investigative skills.

You’ll have opportunities for reflection, fostering the development of personal and communication skills crucial for effective teamwork and future employability.

You’ll also have the opportunity to take part in a  professional placement, where you’ll focus on developing important employability skills and industry knowledge.  

Year 3

During your final year, you will study four core modules.

Secure Development and Deployment – Core

Cover principles, methodologies and processes that enable secure and effective end-to-end software product development and deployment.

Build on your software design and development skills gained in earlier modules so you can securely develop, deploy, and retire software using platforms such as Azure and AWS.

You'll mainly be doing practical work, with code review forming a substantial part of the module.

Project – Core

Bring together your learning across previous modules and your elective specialist modules to take on an independent project.

You'll demonstrate advanced skills and knowledge in a specific subject area, define problem boundaries and investigate plausible solutions with reference to wider social and cultural contexts.

The goal is to deliver a software artefact that has real context.

You'll communicate your findings in oral and written forms.

Cyber Security – Core

Get equipped with theoretical and practical skills to defend and mitigate threats in computing and network environments.

You'll learn about government regulation and ethics around handling sensitive and confidential information.

Discover tools, frameworks and concepts used by adversaries (black hat) to compromise networks.

You'll use this knowledge to come up with a mitigation strategy and build strong defensive walls across your network and computing infrastructure.

Data Science – Core

Explore topics from a range of application areas and work with real data to explore and solve known problems with the analysis of different types of datasets through a practical approach to learning by exploring topics through the study of applied examples.

You'll be prepared for roles which combine data analysis with data-driven decision making and be introduced to the basics of big data processing. 

Professional work placements

Experience matters. That's why we embed professional work placements within the majority of our standard undergraduate degrees.

How does it work?

Careers+Placements will work with you to find a placement or help you to arrange your own, whether that's in Leeds, another part of the UK or even abroad. You will be able to take part in a series of workshops, events and live ‘employer challenges’ to boost your confidence and prepare you for your placement.

During your placement, you could have an opportunity to gain degree-relevant work experience, build your knowledge of career sectors and secure valuable employer references and industry contacts. This experience will help you to shape your career decisions and find the right path for you.

Our established links with business and tech companies across the region means there are a wide range of sectors where you can undertake your placement. Previous placement providers for Computer Science students include Sky, Infinity Works, Aire Logic and TwentySix Digital. However, cybersecurity opportunities exist across the public and private sector, and we aim to match your placement to your chosen area of interest.

During your placement, you'll gain valuable work experience and acquire relevant skills in different cybersecurity roles such as ethical hacker, IT security operations, cyber-analyst, cyber-operations (CyberOps), operations management, risk management, security architect, penetration testing (Pentest), public policy and regulation, information security analyst, Cyber technical support, risk and compliance, cyberpolicy and regulation. 

To find out how we can help you make your career ambitions a reality, visit:

Professional Work Placements

Got a question about the course?

Our Computer Science team are on hand to answer your questions, whether you want to know about the modules you'll be studying, where you can complete your professional placement or the types of assessments you'll do, they are here to help.


Learning and teaching

The Student Contract

Assessment

A variety of assessment methods are used, matched to the learning outcomes for your programme, allowing you to apply and demonstrate the full range of knowledge and skills that you have developed.

For more details on specific assessment methods for this course contact hello@leedstrinity.ac.uk

Programme delivery

Your time on campus, learning through in-person teaching, is at the heart of your academic experience and the way we deliver our programmes. This is supported and further enhanced by additional engagement activities and opportunities provided online and through digital teaching materials. This blended approach seeks to ensure a positive learning and teaching student experience.

Your programme of study has been carefully designed around a three-phase model of delivery:

  1. Preparation: You will be given clear tasks to support you in preparing for live teaching. This could include watching a short-pre-recorded lecture, reading a paper or text chapter or preparing other material for use in class.
  2. Live: All your live teaching will be designed around active learning, providing you with valuable opportunities to build on preparation tasks, interact with staff and peers, and surface any misunderstandings.
  3. Post: Follow-up activities will include opportunities for you to check understanding, for staff to receive feedback from you and your peers to inform subsequent sessions, and for you to apply learning to new situations or context.

Preparation, Live and Post teaching and learning and the digital materials used will vary by course, but will be designed to help you structure your learning, take a full and active part in your course, and apply and test your developing knowledge and skills.

Learning and teaching

At Leeds Trinity we aim to provide an excellent student experience and provide you with the tools and support to help you achieve your academic, personal and professional potential.

Our Learning, Teaching and Assessment Strategy delivers excellence by providing the framework for:

  • high quality teaching
  • an engaging and inclusive approach to learning, assessment and achievement
  • a clear structure through which you progress in your academic studies, your personal development and towards professional-level employment or further study.

We have a strong reputation for developing student employability, supporting your development towards graduate employment, with relevant skills embedded throughout your programme of study.

We endeavour to develop curiosity, confidence, courage, ambition and aspiration in all students through the key themes in our Learning and Teaching Strategy:

  • Student Involvement and Engagement
  • Inclusion
  • Integrated Programme and Assessment Experience
  • Digital Literacy and Skills
  • Employability and Enterprise

To help you achieve your potential we emphasise learning as a collaborative process, with a range of student-led and real-world activities. This approach ensures that you fully engage in shaping your own learning, developing your critical thinking and reflective skills so that you can identify your own strengths and weaknesses, and use the extensive learning support system we offer to shape your own development.

We believe the secret to great learning and teaching is simple: it is about creating an inclusive learning experience that allows all students to thrive through:

  • Personalised support
  • Expert lecturers
  • Strong connections with employers
  • An international outlook
  • Understanding how to use tools and technology to support learning and development

Entry requirements

Leeds Trinity University is committed to recruiting students with talent and potential and who we feel will benefit greatly from their academic and non-academic experiences here. We treat every application on its own merits; we value highly the experience you illustrate in your personal statement.

Information about the large range of qualifications we accept, including A-Levels, BTECs and T Levels, can be found on our entry requirements page. If you need additional advice or are taking qualifications that are not covered in the information supplied, please contact our Admissions Office.

Leeds Trinity University is committed to recruiting students with talent and potential and who we feel will benefit greatly from their academic and non-academic experiences here. We treat every application on its own merits; we value highly the experience you illustrate in your personal statement.

The following information is designed to give you a general overview of the qualifications we accept. If you are taking qualifications that are not included below, please contact our Admissions Office who will be happy to advise you.

Entry requirements for this course:
UCAS tariff 112
GCSE requirements GCSEs at grade C or 4 (or higher) are required in English Language or English Literature and Maths

Fees and finance

UK Home fees

£9,790

Full-time

International fees

More information on international tuition fees

Funding

UK Home Students:

Tuition fees cost £9,790 a year for this course in 2026/2027.

Tuition fees for part-time study are charged a pro-rata amount of the full-time equivalent.

Depending on government policy, tuition fees may change in future years.

Tuition fees for 2027/2028 entry will be set in summer 2026.

Living costs, e.g. accommodation, travel, food, will also need to be taken into consideration.

Leeds Trinity offers a range of bursaries and scholarships to help support students while you study.

International Students, including EU Students:

Visit our webpage for international students.

Part-time study is not available for international students on a Student Route Visa. 

Additional costs

We advise students that there may be additional course costs in addition to annual tuition fees:

  • Recommended and required reading lists will be provided at the start of your course. All the books and e-books are available from our Library to borrow but you may choose to purchase your own.
  • On some courses there may be additional costs, such as field trips, equipment, accreditations, that may be part-funded by the University. More details will be provided at the start of the course.
  • You'll need to include placement/s travel and associated costs too, however the University will contribute a standard amount towards your total expenditure.
  • The University provides students with a £6 printing credit each academic year which can be topped up either on campus or online.

How to apply

For full-time undergraduate courses, you apply through UCAS. That's the University and Colleges Admissions Service.

You can still secure your place for courses starting in September 2026. To do this, you apply through Clearing.

On your application form, you'll need to know our institution code - it's L24 - and the course code. If you click through to the UCAS website using the button below, it'll take you to the right place with all the information you need.

As part of your application, you'll need to write a personal statement - we've prepared a guide to help you.

Applications are open for courses starting in September 2026. You have until Tuesday, 30 June 2026, to apply. After this date, you can apply through Clearing.

Undergraduate applications for September 2027 entry are now open. 

There's lots more information about the application process on the UCAS website, or you can get in touch with our Admissions team who will be happy to help:

Apply through Clearing Call us now – 0330 058 4266

Graduate opportunities

Providing you with the opportunity to develop the professional skills and experience you need to launch your career is at the heart of everything we do at Leeds Trinity University.

There is an increasing demand for cyber security professionals and graduates from this course will be well-positioned to exploit the wide range of career opportunities in this growing field across the public and private sector, including penetration tester, cyber security analyst, network security engineer, security architect and security risk and governance or become self-employed. The degree also offers a solid foundation for postgraduate study or academic research in related disciplines.

After you graduate, Careers and Placements will help you as you pursue your chosen career through our mentoring scheme, support with CV and interview preparation and access to graduate employability events.

To find out how we can help you make your career ambitions a reality, visit:

Careers

Meet the team

Ailyu Lawal Ailyu.

Ailyu Lawal Ailyu

Ailyu Lawal Ailyu

Senior Lecturer

Overview

Dr. Aliyu Lawal Aliyu has a PhD in Computer Science and a Master’s in Telecommunication with extensive expertise in  Computer Networks, Cybersecurity, and Software Development. He is a certified Cisco professional and member of IEEE. He completed several Cisco certifications, this strengthens his technical foundation in network infrastructure and security. Dr. Aliyu Lawal Aliyu is always in the pursuit of excellence and merit. This trait gives him the drive to excel in his early education and formative years. Passionate about continuous learning, he actively explores emerging technologies and advancements in the IT industry especially the transition to 4th Industrial Revolution. Outside of academics and research, he enjoys playing tennis, chess, and monopoly, as well as maintaining an active lifestyle by regularly going to the gym.

Dr. Aliyu Lawal Aliyu is enthusiastic about technology and research with a profound passion for teaching and advancing knowledge in the field of Computer Science. With a commitment to excellence, he inspires students to explore the frontiers of technology and innovation. He values the transformative power of education and strives to cultivate a learning environment that fosters curiosity, critical thinking, and a lifelong love for knowledge.

He wears several caps in the arena of Computer Science, some days  he is a Cybersecurity specialist, Computer Network Engineer, Software Developer with a passion for AI/ML innovation and other days he enjoys reading classics and reflecting on human evolution. He thrives on solving complex problems, securing systems, and building intelligent solutions. With a strong background in research, he enjoys exploring cutting-edge technologies and contributing to advancements in the field. He is deeply committed to mentoring students, sharing knowledge, and fostering the next generation of tech professionals. Whether it's developing secure networks, creating robust software, or applying AI/ML to real-world challenges, he brings curiosity, expertise, and a collaborative spirit to every project.

Qualifications

  • PhD in Computer Science (Birmingham City University  UK)
  • MSc. Telecommunications Engineering (University of Sunderland UK)
  • B.Eng. Electrical Engineering (Ahmadu Bello University NG)
  • Senior Fellow of Higher Education Academy
  • PGCert in Learning and Teaching Higher Education 

Speciality Areas

Cybersecurity, Web Development, Mobile App Development, Software Development (Python, JavaScript, Java, Dart), Analytical Mathematics.

Current Research

Machine Learning (ML) and Artificial Intelligence (AI), Long Time Evolution (LTE) 5G/6G, Cybersecurity, Networks and Cloud Computing. 

Publications

Aliyu, A. L., Aneiba, A., Patwary, M., & Bull, P. (2020). A trust management framework for software defined network (SDN) controller and network applications. Computer Networks, 181, 107421.

Other

Aliyu, A. L., & Diockou, J. (2023, March). An Analytical Queuing Model Based on SDN for IoT Traffic in 5G. In International Conference on Advanced Information Networking and Applications (pp. 435-445). Cham: Springer International Publishing. Aliyu, A. L., Aneiba, A., Patwary, M., & Bull, P. (2020). A trust management framework for software defined network (SDN) controller and network applications. Computer Networks, 181, 107421.

Aliyu, A. L., Aneiba, A., & Patwary, M. (2019, September). Secure communication between network applications and controller in software defined network. In 2019 IEEE 18th international symposium on network computing and applications (NCA) (pp. 1-8). IEEE. 

Aliyu, A. L., Bull, P., & Abdallah, A. (2017, March). Performance implication and analysis of the OpenFlow SDN protocol. In 2017 31st International Conference on Advanced Information Networking and Applications Workshops (WAINA) (pp. 391-396). IEEE.

Aliyu, A. L., Bull, P., & Abdallah, A. (2017, March). A trust management framework for network applications within an SDN environment. In 2017 31st International Conference on Advanced Information Networking and Applications Workshops (WAINA) (pp. 93-98). IEEE.

 

Email

Can you give an example of a professional career highlight and/or experience that informs your teaching of your subject area?

My professional career has been influenced by many mentors and icons in my life. They are  David master’s programme leader, Prof. Ali Abdallah, Dr. Peter Bull, Ass. Prof Adel as all part of my research supervision . In all of them, I see them as embodiment of knowledge, intellectual acumen, professional experience, industry perspective, mentors and leaders. The bring and inspire real-world examples into the classroom and research environment, such as the challenges of integrating computer network models into scalable applications and the importance of interdisciplinary collaboration. They emphasise on practical skills like coding best practices, algorithm optimization, and ethical considerations. Additionally, I use this experience to teach students about the impact of technology on society and inspire them to think critically about how their technical skills can solve real-world problems.

Within your field, who do you most admire and why?

The world leader and trail blazers are Prof. Nick Mckeown and Martin Cassado. They pioneered a greenfield technology in virtualising computer networks. Their little research project in Stamford University became a huge success as a start up company called Nicira which was later acquired by Vmware at about $1.1 billion. They continue to set the pace and lead research and innovation developments.

What key moment in history do you feel has had the greatest impact on business or its role in society, and/or on your own career within business, and why?

The dotcom revolution where we witnessed rapid rise of internet-based companies during the late 1990s and early 2000s. This period, often called the dot-com bubble, saw a massive surge in the stock market valuations of internet startups, driven by speculative investments and the widespread adoption of the internet. Global companies that emerge out of these eporch are Facebook, Google, Yahoo, MySpace, Twitter, Blackberry, IPhone, Craiglist, EBay and many more. The second moment is now with AI revolution and fourth industrial revolution.
Antesar Shabut.

Antesar Shabut

Antesar Shabut

Senior Lecturer in Computer Science

Overview

Dr Antesar Shabut is a Senior Lecturer in Computer Science and the Programme Leader for the BSC (Hons) Computer Science programme at Leeds Trinity University. With over a decade of teaching experience, she is also a Senior Fellow of the Higher Education Academy. Dr Shabut received her PhD degree in Cybersecurity from the University of Bradford in 2016. Prior to this, she studied her Master's degree at Sheffield Hallam University and graduated with a Bachelor of Science in Computer Science with First Class Honours. 

Dr Shabut's academic journey commenced as a Graduate Teaching Assistant at the University of Bradford. She then transitioned to a Research Fellow position at Anglia Ruskin University, where she dedicated over three years to various scientific and pedagogical projects. Joining Leeds Trinity, Dr Shabut worked as a Lecturer, instructing students in diverse Computing subjects and quickly got promoted to a Senior Lecturer role. 

Throughout her career, Dr Shabut has secured funding as both a principal investigator and co-principal investigator for several scientific and pedagogical research projects. She is deeply passionate about transforming innovative concepts into software products that serve the community and wider society. 

Additionally, Dr Shabut is the co-founder of Globalizer, an app aimed at facilitating global education collaboration.  

Her research interests include Artificial Intelligence, Machine Learning, Computer Education and Software Engineering.

Qualifications

  • PhD
  • MSc
  • BSc
  • PGCHE
  • FHEA
  • SFHEA

Speciality Areas

Artificial Intelligence, Machine Learning, Mobile App Development, Software Engineering.

Current Research

Artificial Intelligence, AI Ethics, Machine Learning, Computer Education and Software Engineering. 

Publications

How the Globalizer App Developed at Leeds Trinity University is a Way for All Higher Education Institutions to Implement Globalization 4.0K Blair, A Shabut HETL Frontiers 2 (1), 10-12, , 2024. 

Unravelling the Skills Deficit in Tech: An Educator's PerspectiveG Bengsch, A Shabut, S Harriet, J Diockou2023 15th International Conference on Software, Knowledge, Information …, , 2023 

GLOBALIZER: TINDER FOR EDUCATORSK Blair, A ShabutICERI2023 Proceedings, 2774-2782, , 2023 

iTB-test: An Intelligent Image-enabled Diagnostic System for In Vitro Screening of Infectious DiseasesMH Tania, MS Kaiser, AM Shabut, K Abu-Hassan, M Mahmud, ...2022 14th International Conference on Software, Knowledge, Information …, , 2022 

Security scheme enhancement for voice over wireless networksF Hazzaa, AM Shabut, NHM Ali, M CirsteaJournal of Information Security and Applications 58, 102798, 7, 2021 

Achievements of neural network in skin lesions classificationN Hameed, A Shabut, F Hameed, S Cirstea, A HossainState of the Art in Neural Networks and their Applications, 133-151, 4, 2021 

Mobile based skin lesions classification using convolution neural networkN Hameed, A Shabut, F Hameed, S Cirstea, S Harriet, A HossainAnnals of Emerging Technologies in Computing (AETiC) 4 (2), 16, 2020 

Multi-class multi-level classification algorithm for skin lesions classification using machine learning techniquesN Hameed, AM Shabut, MK Ghosh, MA HossainExpert Systems with Applications 141, 112961, 158, 2020 

Intelligent image-based colourimetric tests using machine learning framework for lateral flow assaysMH Tania, KT Lwin, AM Shabut, M Najlah, J Chin, MA HossainExpert Systems with Applications 139, 112843, 29, 2020 

Design and development of a benchmark for dynamic multi-objective optimisation problem in the context of deep reinforcement learningMM Hasan, K Lwin, A Shabut, MA Hossain2019 22nd International Conference on Computer and Information Technology …, , 

An intelligent mobile-enabled expert system for tuberculosis disease diagnosis in real time. AM Shabut, MH Tania, KT Lwin, BA Evans, NA Yusof, KJ Abu-Hassan, ...Expert Systems with Applications 114, 65-77 

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Jim Diockou.

Jim Diockou

Jim Diockou

Senior Lecturer in Computer Science

Overview

Mr. Diockou is a Senior Lecturer at the School of Computing and Creative Industries at Leeds Trinity University (LTU), where he has been a faculty member since 2020. He obtained his MSc in Network Performance Engineering from Bradford University in 2015 and his BSc in Computer Networks from Middlesex University in London in 2003. His extensive background in network engineering and computer science has paved the way for a career in academia and research. 

Jim began his teaching career at the University Centre at Leeds City College (UC at LCC), where he worked as a lecturer for over 10 years. During his time at UC at LCC, he played an important role in the development of several academic pathways. He designed and developed the Cybersecurity pathway and significantly contributed to the design and development of the Software Development and Game Development pathways. His innovative approach and dedication to curriculum development have had a lasting impact on the programmes at UC at LCC. 

At LTU, Jim continues to demonstrate his commitment to education and student success. At undergraduate and postgraduate levels, he teaches a variety of modules, including Introduction to Software Development, Secure Development and Deployment (SDD), Computing Skills, and Responsible Computing. His expertise in these areas ensures that students receive a comprehensive and up-to-date education in computer science. 

Jim has also been instrumental in the design and development of the Computer Science with Game Development pathway at LTU. Additionally, he contributed to the design and development of the BA Game Design pathway within the School of Computing and Creative Industries, reflecting his interdisciplinary interests and ability to bridge the gap between computer science and creative domains of knowledge and skills. 

His research interests are diverse and current, focusing on enhancing the security of drone networks through advanced intrusion detection and reliability modelling, exploring the intersection of tourism and the Metaverse, and integrating education with computer science advancements. These research areas not only contribute to the academic community but also address real-world challenges and opportunities. 

Jim's publications include: 

"An Analytical Queuing Model Based on SDN for IoT Traffic in 5G" 

"Unravelling the Skills Deficit in Tech: An Educator's Perspective." These publications highlight his ability to address both technical and educational challenges within the field of computer science. 

Outside of his professional activities, Jim likes reading about classical and medieval philosophies.

Qualifications

  • MSc Network Performance Engineering - 2015
  • BSc Computer Networks - 2003 

Speciality Areas

Networking: Designed, developed, and delivered courses on advanced networking principles, focusing on the design, implementation, and security of emerging network architectures such as RANET (Robotic Ad hoc Networks), VANET (Vehicular Ad hoc Networks), and MANET (Mobile Ad hoc Networks).

Computer Science: Developed comprehensive curricula in foundational and advanced computer science topics, including programming languages, data structures, algorithms, and software engineering.

Cyber Security: Delivered courses covering intrusion detection, secure network design, cryptographic protocols, and ethical hacking. 

Current Research

Enhancing the security of drone networks through advanced intrusion detection and reliability modelling

Tourism and the Metaverse

Education and Computer Science 

Publications

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Hua Yan.

Hua Yan

Hua Yan

Lecturer

Overview

Dr. Hua Yan received his Ph.D. from the University of Warwick in 2022. He is currently working as a Lecturer in the School of Computer Science at Leeds Trinity University, U.K. Prior to joining Leeds Trinity University, he worked as a Postdoctoral Research Associate in the Department of Engineering at Durham University, U.K., and as a Research Fellow in the School of Engineering at the University of Warwick, U.K. His research interests include intelligent communications, system modelling and performance analysis, as well as wireless power transfer.

Qualifications

  • Doctor of Philosophy, University of Warwick
  • Master of Science, Loughborough University

Speciality Areas

Computer Science and wireless communications.

Current Research

THz-integrated sensing, communications and powering, UAV communications and Wireless power transfer.

Publications

[1] H. Yan and Y. Chen, "Enabling 6G with Terahertz Integrated Sensing Communications and Powering," in IEEE Transactions on Vehicular Technology, 2026, doi: 10.1109/TVT.2026.3688956. 

[2] H. Yan and Y. Chen, "Optimum Distance for In-Flight UAV-to-UAV Wireless Charging," in IEEE Access, vol. 13, pp. 143914-143924, 2025, doi: 10.1109/ACCESS.2025.3598733. 

[3] H. Yan and Y. Chen, "Time Allocation for Sensing-Assisted Wireless Powered Terahertz Communications," in IEEE Wireless Communications Letters, vol. 14, no. 10, pp. 3364-3368, Oct. 2025, doi: 10.1109/LWC.2025.3594007.

[4] H. Yan, Y. Chen and X. Ding, "Sag Monitoring for Overhead Transmission Lines Using 5G Radio Signals," 2024 6th Global Power, Energy and Communication Conference (GPECOM), Budapest, Hungary, 2024, pp. 584-589, doi: 10.1109/GPECOM61896.2024.10582613.

[5] H. Yan, Y. Chen and S. -H. Yang, "Time Allocation and Optimization in UAV-Enabled Wireless Powered Communication Networks," in IEEE Transactions on Green Communications and Networking, vol. 6, no. 2, pp. 951-964, June 2022, doi: 10.1109/TGCN.2021.3117312.

[6] H. Yan, Y. Chen and S. -H. Yang, "New Energy Consumption Model for Rotary-Wing UAV Propulsion," in IEEE Wireless Communications Letters, vol. 10, no. 9, pp. 2009-2012, Sept. 2021, doi: 10.1109/LWC.2021.3090772.

[7] H. Yan, S. -H. Yang, Y. Chen and S. A. Fahmy, "Optimum Battery Weight for Maximizing Available Energy in UAV-Enabled Wireless Communications," in IEEE Wireless Communications Letters, vol. 10, no. 7, pp. 1410-1413, July 2021, doi: 10.1109/LWC.2021.3069078.

[8] H. Yan, Y. Chen and S. -H. Yang, "UAV-Enabled Wireless Power Transfer With Base Station Charging and UAV Power Consumption," in IEEE Transactions on Vehicular Technology, vol. 69, no. 11, pp. 12883-12896, Nov. 2020, doi: 10.1109/TVT.2020.3015246.

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Lesley May.

Lesley May

Lesley May

Associate Professor (Teaching and Learning) in Computer Science

Overview

Lesley May is Associate Professor of Teaching and Learning in Computer Science at Leeds Trinity University, where she serves as Student Success Lead for the School. Her work focuses on enhancing the student experience through inclusive practice, with a strong emphasis on belonging, engagement, and progression. She is also committed to promoting responsible and ethical approaches to computing, ensuring students understand the broader societal impact of technology. 

With more than twenty years of experience in higher education, Lesley has developed expertise in curriculum design, pedagogic innovation, and the dissemination of effective teaching practices. She is committed to supporting both student achievement and staff development, fostering a collaborative culture of continuous improvement while embedding responsible computing practices within the curriculum. 

Her interest in data originates from her earlier career as a Manager for Virgin Trains, where she began exploring innovative approaches to information management. This experience sparked a lasting curiosity about the power of data and its applications. She now brings this enthusiasm into her teaching, inspiring the next generation of computer scientists to engage critically, creatively, and responsibly with data. 

Qualifications

  • 2025 – Doctor of Education, University of Central Lancashire
  • 2021 - Senior Fellow of the Higher Education Academy (SFHEA)
  • 2014 - Master of Education in Professional Practice, University of Central Lancashire
  • 2005 Master of Science in Computer Science, University of Central Lancashire
  • 2003 - BSc (Hons) Information Systems Design, University of Central Lancashire

Speciality Areas

Data Science, Visualisation, Computer Science, Information Systems and Responsible Computing.

Current Research

Computer Science Education, Data Visualisation, Student Engagement and Digital Pedagogy.

Publications

  1. Shabut, L. May and N. Danino, "Soft Skills in Career Prediction: A Machine Learning Approach for Role Forecasting,"2025 International Conference on Software, Knowledge, Information Management & Applications (SKIMA), Paisley, United Kingdom, 2025.

May, L. and Danino, N., (2023).  Enhancing Student Support and Community Engagement: The Implementation of Peer Assisted Study Sessions in Computer Science Education, Annual Research Conference (ARC), Leeds Trinity University, June 2023. 

Danino, N. and May, L (2021). The PASS effect: enabling a student-led Computing community.  Practical Pedagogy, University of Lincoln, UK, 13 September 2021. 

May, L. and Danino, N., (2020). The PASS Effect: How Peer Assisted Study Sessions Contribute to a Computing Community. Computing Education Practice (CEP ’19), January 9, 2020, Durham, United Kingdom. ACM. 

May, L., (2019). Riding The Rollercoaster: An Exploration of a Computing Student’s Journey, INTED2019 Proceedings, pp. 7106-7112. 

Mitchell, N.P., May, L., and Danino, N., (2019). Students as Partners in an Immersive Agile Learning Environment, International Technology, Education and Development Conference p. 6988. 

Mitchell, N.P. and May, L., (2016). Meaningful Mentoring For Computing Students at the University of Central Lancashire, Learning and Teaching Conference, University of Central Lancashire. 

May, L., (2016). An Exploration of Retention and Success for First Year Computing Students at the University of Central Lancashire (UCLan), Learning and Teaching Conference, University of Central Lancashire. 

May, L., (2015). An Investigation Into Retention Issues for Computing Students at UCLan, Learning and Teaching Conference, University of Central Lancashire.

Danino, N., May, L. and Mitchell, N., (2014).  The Four Week Challenge: A Highly Scaffolded Introduction to Computing at University, The European First Year Experience Conference, Nottingham Trent University. 

May, L., Danino, N. and Mitchell, N., (2014).  Interactive Induction: Involving the Students To Minimise Initial Fears, The European First Year Experience Conference, Nottingham Trent University. 

May, L., Mitchell, N. and Danino, N., (2014).  Peer Assessment as a Student Engagement Strategy, The European First Year Experience Conference, Nottingham Trent University. 

Mitchell, N.P., Danino, N. and May, L., (2014).  Using competition and reward to influence undergraduate attitudes in computing, The European First Year Experience Conference, Nottingham Trent University.

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Yash Baradaranshokouhi.

Yash Baradaranshokouhi

Yash Baradaranshokouhi

Senior Lecturer

Overview

Yashar is a dedicated Senior Lecturer at Leeds Trinity University with a robust background in higher education, spanning over a decade. His research focuses on the applications of AI, data science, advanced signal processing and complex system modelling in neuroscience, biomedical applications, and healthcare. He has extensive experience in designing and developing programmes of studies and module specifications, as well as conducting pedagogical experimentations. Yashar has been actively involved in editorial activities, serving as an Editorial Board Member for the Journal of Learning Assessment Teaching in Higher Education. His expertise lies within the field of Automation and Advanced Systems Engineering, Computer Science, and Informatics, contributing significantly to academic publications and peer review processes. 

In addition to his research, Yashar is deeply involved in curriculum development, consistently striving to innovate and enhance the academic experience. His approach includes integrating real-world applications into coursework and actively engaging in experimental pedagogies to improve teaching outcomes. 

Yashar also plays a significant role in enhancing the student experience at Leeds Trinity University. He contributes to various panels and workstreams aimed at refining educational practices and fostering a dynamic learning environment. 

Qualifications

  • PhD – University of Sheffield  
  • MSc Automatic Control and System Engineering - University of Sheffield  
  • Senior Fellow of Higher Education Academy  
  • PGCert in Learning and Teaching Higher Education in the UK 

Speciality Areas

Data Science, AI and DevOps, Cloud Computing, Software Engineering and Programming (Python, Java, MATLAB, HTML, CSS, JS), Mathematics and Front- and Back-end development.

Current Research

Genetics, AI, Robotics, 3D Printing and applications of computing for good.

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