Computing MSc

2022-23 (also available for 2021-22)

This course is eligible for Master's loan funding. Find out more.

Start date

19 September 2022

9 January 2023

Duration

1 year full-time
2 years part-time

Places available (subject to change)

30

About the course

The IT industry is constantly evolving and it is now incredibly challenging to keep up with the cutting edge developments that industry is facing. Microsoft's research has identified two key areas for growth. Using LinkedIn data, they anticipate the need for more than three million skilled people in UK technology careers over the next five years.*

This course is aimed at sharing advanced knowledge across a broad range of Computer Science modules. It is suitable for those of you who wish to enhance your computing skills in order to improve your contribution in an IT-related industry or to pursue research and development in academia.

We want to support you in making an impact into the field of Computer Science. This course has been designed to:

  • to extend development of your intellectual skills to facilitate critical enquiry and an analytical approach to complex IT practice
  • to develop further proficiency in the theory and practice of software development, with the opportunity to specialise in advanced areas of software development.
  • to develop the skills and attitudes required to design and construct high quality software systems that meet an identified requirement, relevant to contemporary employment markets.
  • to master a critical appreciation of your specialist, technical role in the human and organisational context of technology, systems and people in the wider organisational environment.

We will provide you with with knowledge of systematic approaches, tools and techniques for systems development, and learn how 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.

*Microsoft’s Get On 2021 campaign, Oct 2020.

Computer Science is a rapidly changing academic discipline that is the driving force behind the technological innovations that are shaping society. As a postgraduate student at the University you will be working with top researchers in a friendly and collegial environment. 

None

Dr Steve Wade, Course Leader, Computing and Information Systems Management MSc

Course detail

Semantic Web

This module will cover basic ontology languages, semantic modelling, linked data principles, semantic query languages and basic reasoning methods for processing semantic data. Working both individually and in teams, you will be introduced to industry practice.

Autonomous and Autonomic Intelligent Systems

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.

Web and Network Services

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.

Effective Research and Professional Practice

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

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. This module looks at different data mining techniques and gives students the chance to use appropriate data-mining tools in order to evaluate the quality of the discovered knowledge. Topics studied include looking at the value of data; approaches to preparing data for exploration; supervised and un-supervised approaches to data mining; exploring unstructured data; social impact of data mining. Current application areas and research topics in data mining will also be discussed and students will be expected to develop their knowledge such that they are able to contribute to such discussions and to increase their background knowledge and understanding of issues and developments associated with data mining.

Individual Project

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.

Databases for Large Data-sets

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 (RDBMS). 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 students to alternative approaches to modelling the data needs of an organization. It also provides students with an opportunity to use non-relational databases and database technologies to build robust and effective organizational information systems. The aim of this module is to introduce the student to the fundamental concepts, core principles, formalism, and practical skills that underpin modern data system where students will develop a practical understanding of methods, techniques and architectures required to build big data systems in order to extract information from large heterogeneous data sets.

Select one option module from:

Advanced Software Development

You’ll be provided with the opportunity to develop advanced skills in software design and development. You’ll have the opportunity to examine the issues that software programmers and developers face every day in their quest to develop successful technology systems and applications.

Software Development

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. The module provides an introduction 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. Student 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.

Select two option modules from:

Change and Project Management

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.

Machine Learning

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.

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 will be considered acceptable. Read more about the University’s entry requirements for students outside of the UK on our Where are you from information pages.

Why Huddersfield?


Find out why some of our students chose to study with us. From feeling at home as soon as they came to campus, to the fantastic facilities, friendly community and engaging courses.

Enhance your career


Previous graduates from courses in this subject area have gone on to work in a variety of roles such as senior information security specialist, service desk analyst, web developer, and head of information technology in both public and private sector companies based in the UK and overseas.**
You could also go on to further study and the University has many options available for postgraduate research which may interest you.

* Percentage 96.4% of our postgraduate students go on to work and/or further study within fifteen months of graduating (HESA Graduate Outcomes 2017/18, UK domiciled graduates).

**Source: LinkedIn

96.4%*

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. Find out more about all our support services.

A wide range of resources are also offered within the School of Computing and Engineering, which provides you with support in a variety of areas. These include:

Student Support Office: a one stop shop for students studying within the School. The team deal with every aspect of student life from enrolment, module queries, timetabling, exams, assessments, course-related committees and graduation. They are the first place to go with any query, and they can also signpost to other support networks.

Student Guidance Office: provides guidance about how students can develop their academic study skills and learning development. The team provide support with academic skills including research and project planning, referencing and paraphrasing, essay writing, critical thinking, understanding assessments and the presentation of academic work. Common learning development topics include, developing effective study habits, time management, how to manage deadlines, plan, structure and organise work and understanding the University regulations and systems.

Technical Support: technicians support our students across each department. Based in our labs with different specialisms and knowledge they are on hand to advise and guide, students can access our technician’s expertise during lectures and seminars as well as during self-study. A technical Helpdesk is also available to all students within the School of Computing and Engineering to help troubleshoot any computer issues or to borrow hardware and software.

Important information

We will always try to deliver your course as described on this web page. However, sometimes we may have to make changes as set out below.

Changes to a course you have applied for

If we propose to make a major change to a course that you are holding an offer for, then we will tell you as soon as possible so that you can decide whether to withdraw your application prior to enrolment.

Changes to your course after you enrol as a student

We will always try to deliver your course and other services as described. However, sometimes we may have to make changes as set out below:

Changes to option modules

Where your course allows you to choose modules from a range of options, we will review these each year and change them to reflect the expertise of our staff, current trends in research and as a result of student feedback or demand for certain modules. We will always ensure that you have a range of options to choose from and we will let you know in good time the options available for you to choose for the following year.

Major changes

We will only make major changes to the core curriculum of a course or to our services if it is necessary for us to do so and provided such changes are reasonable. A major change in this context is a change that materially changes the services available to you; or the outcomes, or a significant part, of your course, such as the nature of the award or a substantial change to module content, teaching days (part time provision), classes, type of delivery or assessment of the core curriculum.

For example, it may be necessary to make a major change to reflect changes in the law or the requirements of the University’s regulators; to meet the latest requirements of a commissioning or accrediting body; to improve the quality of educational provision; in response to student, examiners’ or other course evaluators’ feedback; and/or to reflect academic or professional changes within subject areas. Major changes may also be necessary because of circumstances outside our reasonable control, such as a key member of staff leaving the University or being unable to teach, where they have a particular specialism that can’t be adequately covered by other members of staff; or due to damage or interruption to buildings, facilities or equipment.

Major changes would usually be made with effect from the next academic year, but this may not always be the case. We will notify you as soon as possible should we need to make a major change and will carry out suitable consultation with affected students. If you reasonably believe that the proposed change will cause you detriment or hardship we will, if appropriate, work with you to try to reduce the adverse effect on you or find an appropriate solution. Where an appropriate solution cannot be found and you contact us in writing before the change takes effect you can cancel your registration and withdraw from the University without liability to the University for future tuition fees. We will provide reasonable support to assist you with transferring to another university if you wish to do so.

Termination of course

In exceptional circumstances, we may, for reasons outside of our control, be forced to discontinue or suspend your course. Where this is the case, a formal exit strategy will be followed and we will notify you as soon as possible about what your options are, which may include transferring to a suitable replacement course for which you are qualified, being provided with individual teaching to complete the award for which you were registered, or claiming an interim award and exiting the University. If you do not wish to take up any of the options that are made available to you, then you can cancel your registration and withdraw from the course without liability to the University for future tuition fees and you will be entitled to a refund of all course fees paid to date. We will provide reasonable support to assist you with transferring to another university if you wish to do so.

When you enrol as a student of the University, your study and time with us will be governed by a framework of regulations, policies and procedures, which form the basis of your agreement with us. These include regulations regarding the assessment of your course, academic integrity, your conduct (including attendance) and disciplinary procedure, fees and finance and compliance with visa requirements (where relevant). It is important that you familiarise yourself with these as you will be asked to agree to abide by them when you join us as a student. You will find a guide to the key terms here, along with the Student Protection Plan, where you will also find links to the full text of each of the regulations, policies and procedures referred to.

The Office for Students (OfS) is the principal regulator for the University.

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