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Start Dates

20 September 2027, 10 January 2028, 15 May 2028

Duration

1 year full-time


Recent Awards For Excellence

Computer Science & Information Systems - QS 2025
Find out more about these awards
About this course

Overview

Why choose Huddersfield for this course?

  • Specialise in advanced software systems development and design high-quality integrated IT solutions.
  • Hands-on learning, applied to complex real-world challenges.
  • Boost your employability through an individual research project focused on real-world computing challenges.

Accreditation and Professional Links

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

The digital world never stands still, and careers in computing continue to evolve with it. This MSc is designed for those who want to advance their knowledge, strengthen their technical skills and prepare for new opportunities in software development, systems design and IT leadership.

On this course you will explore advanced programming, databases and software engineering, alongside analytical approaches to solving complex computing problems. You will also develop critical thinking and problem-solving abilities that employers value highly.

The course is accredited by the British Computer Society (BCS), which supports your progress toward professional recognition as a Chartered IT Professional or Chartered Engineer. With this combination of advanced study and accreditation, you will be well placed to step into roles such as systems architect, developer or consultant.

Your learning will be informed by the expertise of academics who are engaged in research and innovation across computing disciplines, meaning your experience will be grounded in current developments, not just theory.

Career opportunities after the course *

Software Engineer

Data Engineer

Data Analyst

Solutions Architect

Systems Engineer

*Lightcast

Who can apply?

Entry Requirements

Entry requirements for this course are normally:

  • An Honours degree (2:2 or above) in business computing/IS/ICT-related subject or an equivalent professional qualification.
  • Other qualifications and/or experience that demonstrate appropriate knowledge and skills at an Honours degree level.
  • Substantial (3 years) relevant industry experience in a management role.

If your first language is not English, you will need to meet the minimum requirements of an English Language qualification. The minimum for IELTS is 6.0 overall with no element lower than 5.5, or equivalent. 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

How do you combine information from Web sources that are using different terminology? This is the fundamental question underlying the idea of the Semantic Web. The answer is the use of graph-based structures that describe a kind of common vocabulary for a particular domain, and annotation that describes information sources in terms of this vocabulary. Then, information can be queried similar to having a (distributed) database. This module will cover basic languages for describing ontologies, as well as languages and tools for processing and querying them. Working both individually and in teams, you will get a hands-on experience in using semantic web technologies. In addition, you will be introduced to industry practice around concepts of so called Linked Data and Knowledge Graphs.

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.

This module considers how the Internet can be used to provide services, such as the web enabled provision of information, cloud computing and VoIP (Voice over Internet Protocol). As well as providing a service the Internet can also be used as a medium for the control of remote agents, such as robotic devices, and within this you’ll consider the technologies that facilitate the provision of remote access control. This module also provides you with the opportunity to explore contemporary research areas regarding Internet related subjects.

This module aims to provide you with skills that are key to helping you become a successful computing researcher or practitioner. You'll 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 reports and making presentations.

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.

This module enables you to independently undertake a project based on a problem of your own choosing. Designed to be integrative, the project serves as a culmination of the knowledge, skills, competencies and experiences you've gained throughout your studies, while also encouraging further development in these areas. As the project is student-led, you will take ownership of the project from start to finish — negotiating agreements, managing communications, and collaborating effectively with all stakeholders at each stage. In addition, the module offers a comprehensive overview of the research process, academic writing, and key professional considerations including legal, ethical and social issues. It also supports your career development by exploring employability pathways and professional growth.

This module brings together database, object-oriented semantics and web authoring skills using an appropriate set of development tools to enable the student to construct distinct software artefacts. You will be introduced to the programming and design techniques used to produce information systems that meet their required specifications. This will involve the modelling of business activity, the information that supports decision making and instances of significant events and actions. You will acquire skills in programming languages capable of implementing object-oriented and web script software and will also be able to select and apply design techniques to enable an appropriate choice of semantic components and implemented software components to meet the requirements of a given software system.

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.

The data needs of modern enterprises and organisations require a more flexible approach to data management than that offered by traditional relational database management systems. With organizations increasingly looking to Big Data to provide valuable business insights, it has become clear that new approaches are required to handle these new data requirements. Primarily focusing on non-relational data models, this module introduces you to alternative approaches to modelling the data needs of an organization. It also provides you with an opportunity to use non-relational databases and database technologies to build robust and effective organizational information systems.

Teaching and Assessment

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

Where could this lead you?

Your Career

Graduates of the Computing MSc can progress into a wide range of technical and analytical roles across industries including technology, finance, healthcare, and the public sector. Many pursue careers as Software Engineers, Data Engineers, Systems Engineers or DevOps Engineers, designing and maintaining digital systems and infrastructure. Opportunities also include specialist roles such as Data Analyst, Data Scientist, Security Engineer and Solutions Architect, applying expertise to solve complex challenges and support organisational innovation. These skills are highly sought after by tech companies, consultancies, start-ups and large multinational organisations.

Source: Lightcast data extracted from the Graduate Career Explorer

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

* HESA Graduate Outcomes 2022/23, UK domiciled.

£38.5k The average salary of our postgraduates fifteen months after graduating.

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

My degree hugely lifted my knowledge and provided me so much knowledge within this industry. My experience, with my BSc and Master's degree helped me to get my current job on software development.

- Henry Chung
Computing MSc Graduate

How much will it cost?

Fees and Finance

£10,305 per year

This is the tuition fee for 2026/27 entry. Tuition fees for 2027/28 will be published once the information becomes available.

This information is for Home students applying to study at the University of Huddersfield in the academic year 2026/27.

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/

£18,700 per year

This is the tuition fee for 2026/27 entry. Tuition fees for 2027/28 will be published once the information becomes available.

This information is for international students applying to study at the University of Huddersfield in the academic year 2026/27.

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/

Optional short field trips e.g. one day, are sometimes also arranged. Previous field trips have included Bletchley Park. The costs of these field trips are heavily subsidised by the school but can sometimes incur a nominal cost and/or deposit of between £5 and £40 depending on the trip.

Scholarships and Bursaries

Discover what additional help you may be eligible for to support your University studies.

Tuition Fee Loans

Find out more about tuition fee loans available to eligible postgraduate students.

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.

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’ll find support networks and services to help you get ahead in your studies and social life. Whether you study at undergraduate or postgraduate level, you’ll soon discover that you’re never far away from our dedicated staff and resources to help you to navigate through your personal student journey.

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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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Accommodation

Looking for student accommodation? Huddersfield has you covered. HudLets has a variety of accommodation types to choose from, no matter what your preference. HudLets is the University’s approved accommodation service, run by Huddersfield Students’ Union.

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Further Study

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

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