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Cyber Security and Digital Forensics MSc (Distance Learning)

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Start Dates

22 September 2025, 17 November 2025, 16 February 2026, 18 May 2026

Duration

2-3 years part-time


Recent Awards For Excellence

Computer Science & Information Systems - QS 2025
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About this course

Overview

Why choose Huddersfield for this course?

  • Learn to evaluate cyber forensics technologies, implement security solutions and acquire, preserve and analyse digital evidence
  • Provisionally certified by the National Cyber Security Centre (NCSC), the UK's national technical authority for cyber security.
  • Taught 100% online, part-time allowing you to study while working.

Accreditation and Professional Links

Recognised connections to give you an extra edge when you graduate. Read More

Passionate about protecting against cyber-attacks, as well as recovering and investigating artefacts on digital devices? Aimed at people who aren’t local to our campus or who are in employment, the Cyber Security and Digital Forensics MSc at The University of Huddersfield can help you take the next step in your career.

This practical distance learning course meets the demand for experts with a wide range of security, investigative and general computing skills, including cyber security, computer security and digital forensics skills.

Our Cyber Security and Digital Forensics course aims to equip you with the ability and knowledge to evaluate existing and emerging cyber forensics technologies, implement cyber security solutions and acquire, preserve and analyse digital evidence.

Develop the competencies necessary for high demand roles such as computer forensics investigator and information security analyst.

Why study Cyber Security and Digital Forensics MSc at Huddersfield?

Develop your confidence, knowledge base and skillset to thrive as a cyber security and digital forensics professional after graduation. At the end of the course, you’ll put your newfound experience and skills to the test in a hands-on final Individual Project module.

Our course is provisionally certified by the National Cyber Security Centre (NCSC) with full certification expected by the end of 2025. The NCSC is the UK's National technical authority for cyber security. Certification independently confirms that our course includes well-defined and relevant content and is delivered to an appropriate standard.

Your tutors will encourage you to tackle challenging problems, ensuring you are in the best position to make a real difference in the computing sector. Research plays an important role in informing all our teaching and learning activities, and you'll find many of our academics are at the forefront of impactful research. The University's Centre for Cyber Security, for example, aims to develop and demonstrate advanced knowledge beneficial to understanding and mitigating cyber threats.

Discover more about Distance Learning at Huddersfield.

Career opportunities after the course *

Software Engineer

Network Engineer

Security Engineer

Infrastructure Engineer

Solutions Architect

*Lightcast

Who can apply?

Entry Requirements

Entry requirements for this course are normally:

  • An Honours degree (2:2 or above) in Computing or related subject or an equivalent professional qualification. For applicants who received their degree more than 10 years ago, we will need evidence to demonstrate current knowledge in the subject area, such as reference letters, training certificates or significant relevant work experience.
  • Other qualifications and/or experience that demonstrate appropriate knowledge and skills at an Honours degree level.
  • Substantial (3 years) relevant industry experience.

If your first language is not English, you will need to meet the minimum requirements of an English Language qualification. The minimum of IELTS 6.0 overall with no element lower than 5.5, or equivalent or Duolingo English certificate, score 105 or above. Read more about the University’s entry requirements for students outside of the UK on our International Entry Requirements page.

What will you learn?

Course Details

This module aims to cover planning for different types of change – discontinuous, radical, incremental or continuous, focusing on both the human and organisational impacts of these changes. As a manager it’s important for you to be able to incorporate management theory and concepts within your working practice. This module aims to help you understand how planning and project management provide opportunities for you to manage change more effectively and efficiently. You’ll have the opportunity to study project management methods, tools and techniques as well as developing an understanding of risk.

Organisational leadership requires the support of strategic information to make decisions that align with institutional objectives. In this module you will critically explore and evaluate the leadership opportunities presented by access to strategic information within an organisation. You will study a range of approaches to managing strategic information at scale, and you will develop knowledge that demonstrates your critical understanding of the impact of both traditional and emerging approaches and issues to managing strategic information.

This module aims to provide you with skills that are key to helping you become a successful computing researcher or practitioner. You will get the opportunity to study topics including the nature of research, the scientific method, research methods, literature review and referencing. The module aims to cover the structure of research papers and project reports, reviewing research papers, ethical issues (including plagiarism), defining projects, project management, writing project proposals and making presentations.

Autonomous systems are intelligent systems that can act independently to accomplish goals based on their knowledge and understanding of their environment and the tasks they have to complete. This module aims to cover the background and requirements for intelligent systems autonomy in a wide range of applications, taken from a computer science and software-oriented viewpoint. As well as the technical challenges of system autonomy, you’ll get the opportunity to study ethical and legal issues, and human factors implications.

Data mining is a collection of tools, methods and statistical techniques for exploring and extracting meaningful information from large data sets. It is a rapidly growing field due to the increasing quantity of data gathered by organisations. There is a potential high value in discovering the patterns contained within such data collections. In this module you will look at different data mining techniques and use appropriate data-mining tools in order to evaluate the quality of the discovered knowledge. You will study approaches to preparing data for exploration, supervised and un-supervised approaches to data mining, exploring unstructured data and the social impact of data mining. You will be expected to develop your knowledge such that you are able to contribute to discussions around current application areas and research topics and to increase your background knowledge and understanding of issues and developments associated with data mining.

The purpose of this module is to enable you to appreciate the historical, current and future application areas of Artificial Intelligence and Data Analytics in relation to both theoretical and practical aspects and to investigate at least one application area in depth. Case studies discussed in the sessions will provide an exploration of applications in a variety of different areas and will be achieved by combinations of study of current research papers, tutors’ own research and the investigative work of the students within the module.

The Robotics module allows you to gain specialist knowledge in robotic devices and autonomous applications by examining the integration of mechanical devices, sensors and ‘intelligent’ computerised robotic agents. You will also explore the latest developments in robotics and intelligent systems through a series of investigative tasks and practical sessions. The module covers essential techniques for the design and development of robotic based systems using a collection of robotic hardware and simulation software. It supports the discussion and analysis of the hardware and software used to build real-world robotic systems. It introduces device and architectural specific topics required to enable students to design and develop software for intelligent autonomous robots. This will include low-level programming of I/O devices for robotic swarms, sensor systems and active modelling and simulation. It will introduce planning for intelligent robots taking a lifecycle approach from theory to activation.

Machine Learning techniques are now used widely in a range of applications either stand-alone or integrated with other AI techniques. The Machine Learning module allows you to obtain a fundamental understanding of the subject as a whole: how to embody machines with the ability to learn how to recognise, classify, decide, plan, revise, optimise etc. You will learn which machine learning techniques are appropriate for which learning problem, and what the advantages and disadvantages are for a range of ML techniques. We will consider the widely known data-driven approaches, and specific techniques such as “deep learning”, and investigate the typical applications and potential limitations of these approaches. We will introduce available tools and use them in practical classes, evaluating learning bias and characteristics of training sets. High profile applications of data driven, stand-alone, ML systems will be investigated, such as the AlphaGo method. Where data is sparse, and knowledge is already present in a system, we will investigate methods to improve heuristics of existing AI systems, and to learn or revise domain knowledge. This is essentially the area of model-driven ML, where is often integrated to other reasoning systems.

This module enables you to work independently on a project related to a self-selected problem. A key feature in this final stage of the course is that you will be encouraged to undertake an in-company project with an external Client. Where appropriate, however, the Project may be undertaken with an internal Client - research-active staff - on larger research and knowledge transfer projects. The Project is intended to be integrative, a culmination of knowledge, skills, competencies and experiences acquired in other modules, coupled with further development of these assets. In the case where an external client is involved, both the Client and Student will be required to sign a learning agreement that clearly outlines scope, responsibilities and ownership of the project and its products or other deliverables. The Project will be student-driven, with the clear onus on you to negotiate agreement, and communicate effectively, with all parties involved at each stage of the Project.

Teaching and Assessment

Discover what to expect from your tutor contact time, assessment methods, and feedback process.

Technology and System Requirements

As a Distance Learning student, you must provide and have access to certain IT equipment and facilities to access your Virtual Learning Environment (VLE) and to fully participate on your course.

Where could this lead you?

Your Career

The top five job titles advertised in the UK for graduate roles associated with Cyber Security and Digital Forensics MSc courses are: Software Engineer, Network Engineer, Security Engineer, Infrastructure Engineer; and Solutions Architect.

Source: LightcastTM data - job postings from December 2023 to December 2024 showing jobs advertised associated with a selection of relevant graduate roles.

98%
Percentage of our postgraduate students go on to work and/or further study within fifteen months of graduating.

* HESA Graduate Outcomes 2022/23, UK domiciled.

£38.5k
Average salary of our postgraduate students fifteen months after graduating.

* HESA Graduate Outcomes 2022/23, mean salary, UK domiciled, full-time UK employment as main activity.

The diversity and depth of modules in this course allowed for engaging and comprehensive learning, and enabled me to impart a broad understanding onto my new job in the Incident Response team at BT.

- Eoghan Ó Tiománaidhe
Cyber Security and Digital Forensics MSc Graduate

How much will it cost?

Fees and Finance

£9,900

This information is for Home students applying to study at the University of Huddersfield in the academic year 2025/26.

Please note that tuition fees for subsequent years may rise in line with inflation (RPI-X) and/or Government policy. 

For detailed information please visit https://www.hud.ac.uk/study/fees/

£9,900

This information is for international students applying to study at the University of Huddersfield in the academic year 2025/26.

Please note that tuition fees for subsequent years may rise in line with inflation (RPI-X) and/or Government policy. 

For detailed information please visit https://www.hud.ac.uk/international/fees-and-funding/

Scholarships and Bursaries

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Tuition Fee Loans

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What’s included in your fee?

We want you to understand exactly what your fees will cover and what additional costs you may need to budget for when you decide to become a student with us.

Flexible payments

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Funding options

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If you have any questions about Fees and Finance, please email the Student Finance Team.

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Why Hud

Explore the unique opportunities and resources that make our institution a top choice for students seeking a well-rounded and future-focused education.

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Careers support

We know you’re coming to university to study on your chosen subject, meet new people and broaden your horizons. However, we also help you to focus on life after you have graduated to ensure that your hard work pays off and you achieve your ambition.

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Student support

At the University of Huddersfield, you will find support networks and services to help you get ahead in your studies. Our Distance Learning Unit Team are at hand to make your online learning journey a positive, rewarding and successful one.

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Teaching Excellence

Great teaching is engaging and inspiring — it helps you reach your full potential and prepares you for the future. We don’t just teach well — we excel — and we have the awards and recognition to prove it.

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Inspiring Academics

Our researchers carry out world-leading work that makes a real difference to people’s lives. Staff within the Department of Computer Science may teach you on this course.

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Research Excellence

You’ll be taught by staff who want to support your learning and share the latest knowledge and research.

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Further Study

Many of our graduates stay at Huddersfield to complete postgraduate research degrees at Masters or PhD level.

Discover research degrees