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Start Dates

22 September 2025

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

Enhance your computing skills and information technology (IT) knowledge with an MSc in Computing at The University of Huddersfield.

This advanced course aims to meet the industry demand for computer science and IT experts with advanced skills and competencies. This course has been designed to:

  • Develop your skills to make critical enquiries and implement analytical approaches to complex IT practice
  • Develop further proficiency in the theory and practice of software development, with the opportunity to specialise in advanced areas of software development
  • Develop the skills to design and construct high quality software systems.

You’ll finish our computing course with a deeper understanding of systematic approaches, tools and techniques for systems development and the ability to embed them all within suitable frameworks to enable success. Our aim is to equip you with the skills for fast-tracking your career in IT.

Why study Computing at Huddersfield?

The IT industry is constantly evolving, and it is now incredibly challenging to keep up with the cutting- edge developments that industry is facing. Our Computing MSc has been designed to prepare you with the skills for work in this rapidly developing sector.

This course is fully accredited by the British Computer Society (BCS), the Chartered Institute for IT, and by completing it, you will have partially fulfilled the academic requirements for registration as a Chartered IT Professional and Chartered Engineer.

The University is nestled within the heart of Huddersfield, a warm and welcoming town, known for its friendly atmosphere and diverse community. When you’re not studying, you can enjoy an array of exciting activities and experiences. From cultural events and charming cafes to stunning scenery and fantastic transport links, there’s plenty to do in and around the town centre.

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 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.

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

The top five job titles advertised in the UK for graduate roles associated with Computing MSc courses are: Software Engineer; Data Engineer; Data Analyst; Solutions Architect; and Systems Engineer.

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

298%
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

£9,900 per year

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/

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

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.

Take a look at your options

Further Study

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

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