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Full Time MSc Degrees in Computer Science, Leeds, United Kingdom

We have 16 Full Time MSc Degrees in Computer Science, Leeds, United Kingdom

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University of Leeds Faculty of Engineering
Distance from Leeds: 0 miles
Developments in cloud computing technology are transforming the way we live and work. This programme will equip you with specialist knowledge in this fast-growing field and allow you to explore a range of advanced topics in computer science. Read more

Developments in cloud computing technology are transforming the way we live and work. This programme will equip you with specialist knowledge in this fast-growing field and allow you to explore a range of advanced topics in computer science.

You’ll gain a foundation in topics like systems programming and algorithms, as well as specialist modules in advanced distributed systems – especially cloud techniques, technologies and applications.

Building on your existing knowledge of computer science, you’ll also choose from optional modules in topics across computer science. You could look at emerging approaches to human interaction with computational systems, data mining and functional programming among others.

The programme will give you the theoretical and practical skills required to design and implement larger, more complex systems using state-of-the-art technologies. You’ll even have the chance to work as an integral member of one of our research groups when you develop your main project.

Specialist facilities

You’ll benefit from world-class facilities to support your learning. State-of-the-art visualisation labs including a powerwall, a benchtop display with tracking system, WorldViz PPT optical tracking system and Intersense InertiaCube orientation tracker are all among the specialist facilities we have within the School of Computing.

We also have Ascension Flock of Birds tracking systems, three DOF and 6DOF Phantom force feedback devices, Twin Immersion Corp CyberGloves, a cloud computing testbed, rendering cluster and labs containing both Microsoft and Linux platforms among others. It’s an exciting environment in which to gain a range of skills and experience cutting-edge technology.

Course content

Core modules in Semester 1 will lay the foundations of the programme by giving you an understanding of the key topics of algorithms and systems programming. Throughout the year you’ll also take modules developing your understanding of cloud computing itself, from designing the high-level framework of a distributed system to big data and the “internet of things”.

From there you’ll have the chance to tailor your studies to suit your own preferences. You’ll choose from a wide range of optional modules on diverse topics such as image analysis, machine learning, semantic technologies and developing mobile apps.

Over the summer months you’ll also work on your research project. This gives you the chance to work as an integral part of one of our active research groups, focusing on a specialist topic in computer science and selecting the appropriate research methods.

Want to find out more about your modules?

Take a look at the Advanced Computer Science (Cloud Computing) module descriptions for more detail on what you will study.

Course structure

Compulsory modules

  • MSc Project 60 credits
  • Cloud Computing 15 credits

Optional modules

  • Web Services and Web Data 10 credits
  • Distributed Systems 10 credits
  • Mobile Application Development 10 credits
  • Machine Learning 10 credits
  • Information Visualization 10 credits
  • Data Mining and Text Analytics 10 credits
  • Combinatorial Optimisation 10 credits
  • Secure Computing 10 credits
  • Graph Algorithms and Complexity Theory 10 credits
  • Big Data Systems 15 credits
  • Data Science 15 credits
  • Bio-Inspired Computing 15 credits
  • Knowledge Representation and Reasoning 15 credits
  • Algorithms 15 credits
  • Parallel and Concurrent Programming 15 credits
  • Data Mining and Text Analytics 15 credits
  • Semantic Technologies and Applications 15 credits
  • Image Analysis 15 credits
  • Scheduling 15 credits
  • Scientific Computation 15 credits
  • Graph Theory: Structure and Algorithms 15 credits

Learning and teaching

Our groundbreaking research feeds directly into teaching, and you’ll have regular contact with staff who are at the forefront of their disciplines. You’ll have regular contact with them through lectures, seminars, tutorials, small group work and project meetings.

Independent study is also important to the programme, as you develop your problem-solving and research skills as well as your subject knowledge.

Assessment

You’ll be assessed using a range of techniques including case studies, technical reports, presentations, in-class tests, assignments and exams. Optional modules may also use alternative assessment methods.

Projects

The professional project is one of the most satisfying elements of this course. It allows you to apply what you’ve learned to a piece of research focusing on a real-world problem, and it can be used to explore and develop your specific interests.

Recent projects for MSc Advanced Computer Science (Cloud Computing) students have included:

  • Intelligent services to support sensemaking
  • Google cloud data analysis
  • Hadoop for large image management
  • Evaluating web service agreement in a cloud environment

A proportion of projects are formally linked to industry, and can include spending time at the collaborator’s site over the summer.

Career opportunities

Computing is an essential component of nearly every daily activity, from the collection, transformation, analysis and dissemination of information in business, through to smart systems embedded in commodity devices, the image processing used in medical diagnosis and the middleware that underpins distributed technologies like cloud computing and the semantic web.

This programme will give you the practical skills to gain entry into many areas of applied computing, working as application developers, system designers and evaluators; but further, links between the taught modules and our research provide our students with added strengths in artificial intelligence, intelligent systems, distributed systems, and the analysis of complex data. As a result, you’ll be well prepared for a range of careers, as well as further research at PhD level.

Graduates have found success in a wide range of careers working as business analysts, software engineers, wed designers and developers, systems engineers, information analysts and app developers. Others have pursued roles in consultancy, finance, marketing and education, or set up their own businesses.



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University of Leeds Faculty of Engineering
Distance from Leeds: 0 miles
Explore advanced topics in computer science with this wide-ranging programme, which will equip you with the understanding and practical skills to succeed in a variety of careers. Read more

Explore advanced topics in computer science with this wide-ranging programme, which will equip you with the understanding and practical skills to succeed in a variety of careers.

Rooted in the established research strengths of the School of Computing, the programme will introduce topics like systems programming and algorithms before allowing you to specialise through your choice of modules.

You could look at emerging approaches to human interaction with computational systems, novel architectures such as clouds, or the rigorous engineering needed to develop cutting-edge applications such as large-scale data mining and social networks.

Building on your existing knowledge of computer science, you’ll develop the theoretical and practical skills required to design and implement larger, more complex systems using state-of-the-art technologies. You’ll even have the chance to work as an integral member of one of our research groups when you develop your main project.

Specialist facilities

You’ll benefit from world-class facilities to support your learning. State-of-the-art visualisation labs including a powerwall, a benchtop display with tracking system, WorldViz PPT optical tracking system and Intersense InertiaCube orientation tracker are all among the specialist facilities we have within the School of Computing.

We also have Ascension Flock of Birds tracking systems, three DOF and 6DOF Phantom force feedback devices, Twin Immersion Corp CyberGloves, a cloud computing testbed, rendering cluster and labs containing both Microsoft and Linux platforms among others. It’s an exciting environment in which to gain a range of skills and experience cutting-edge technology. 

Course content

Core modules in Semester 1 will lay the foundations of the programme by giving you an understanding of the key topics of algorithms and systems programming.

From there you’ll have the chance to tailor your studies to suit your own preferences. You’ll choose from a wide range of optional modules on diverse topics such as cloud computing, image analysis, machine learning, semantic technologies and developing mobile apps.

Over the summer months you’ll also work on your research project. This gives you the chance to work as an integral part of one of our active research groups, focusing on a specialist topic in computer science and selecting the appropriate research methods.

Want to find out more about your modules?

Take a look at the Advanced Computer Science module descriptions for more detail on what you will study.

Course structure

Compulsory modules

  • MSc Project 60 credits

Optional modules

  • Web Services and Web Data 10 credits
  • Distributed Systems 10 credits
  • Mobile Application Development 10 credits
  • Machine Learning 10 credits
  • Information Visualization 10 credits
  • User Adaptive Intelligent Systems 10 credits
  • Data Mining and Text Analytics 10 credits
  • Combinatorial Optimisation 10 credits
  • Secure Computing 10 credits
  • Graph Algorithms and Complexity Theory 10 credits
  • Big Data Systems 15 credits
  • Data Science 15 credits
  • Bio-Inspired Computing 15 credits
  • Knowledge Representation and Reasoning 15 credits
  • Algorithms 15 credits
  • Parallel and Concurrent Programming 15 credits
  • Foundations of Modelling and Rendering 15 credits
  • Games Engines and Workflow 15 credits
  • Geometric Processing 15 credits
  • High-Performance Graphics 15 credits
  • Animation and Simulation 15 credits
  • Data Mining and Text Analytics 15 credits
  • Cloud Computing 15 credits
  • Semantic Technologies and Applications 15 credits
  • Image Analysis 15 credits
  • Scheduling 15 credits
  • Scientific Computation 15 credits
  • Graph Theory: Structure and Algorithms 15 credits

Learning and teaching

Our groundbreaking research feeds directly into teaching, and you’ll have regular contact with staff who are at the forefront of their disciplines. You’ll have regular contact with them through lectures, seminars, tutorials, small group work and project meetings.

Independent study is also important to the programme, as you develop your problem-solving and research skills as well as your subject knowledge.

Assessment

You’ll be assessed using a range of techniques including case studies, technical reports, presentations, in-class tests, assignments and exams. Optional modules may also use alternative assessment methods.

Projects

The professional project is one of the most satisfying elements of this course. It allows you to apply what you’ve learned to a piece of research focusing on a real-world problem, and it can be used to explore and develop your specific interests.

Recent projects for MSc Advanced Computer Science students have included:

  • iPad interaction for wall-sized displays
  • Modelling the effects of feature-based attention in the visual cortex
  • Relevance and trust in social computing for decision making
  • Energy-efficient cloud computing
  • Smart personal assistant - Ontology-enriched access to digital repositories

A proportion of projects are formally linked to industry, and can include spending time at the collaborator’s site over the summer.

Career opportunities

Computing is an essential component of nearly every daily activity, from the collection, transformation, analysis and dissemination of information in business, through to smart systems embedded in commodity devices, the image processing used in medical diagnosis and the middleware that underpins distributed technologies like cloud computing and the semantic web.

This programme will give you the practical skills to gain entry into many areas of applied computing, working as application developers, system designers and evaluators; but further, links between the taught modules and our research provide our students with added strengths in artificial intelligence, intelligent systems, distributed systems, and the analysis of complex data. As a result, you’ll be well prepared for a range of careers, as well as further research at PhD level.

Graduates have found success in a wide range of careers working as business analysts, software engineers, wed designers and developers, systems engineers, information analysts and app developers. Others have pursued roles in consultancy, finance, marketing and education, or set up their own businesses.



Read less
University of Leeds Faculty of Engineering
Distance from Leeds: 0 miles
Big data is becoming more and more important in fields from science to marketing, engineering medicine and government. This programme will equip you with specialist knowledge in this exciting field and allow you to explore a range of advanced topics in computer science. Read more

Big data is becoming more and more important in fields from science to marketing, engineering medicine and government. This programme will equip you with specialist knowledge in this exciting field and allow you to explore a range of advanced topics in computer science.

You’ll gain a foundation in topics like systems programming and algorithms, as well as the basics of machine learning and knowledge representation. You’ll also choose from optional modules focusing on topics like image analysis or text analytics, or broaden your approach with topics like cloud computing.

As one of the few schools with expertise covering text, symbolic and scientific/numerical data analysis, we can provide a breadth of expertise to equip you with a variety of skills – and you’ll work as an integral member of one of our research groups when you develop your main project. We also have close links with the Leeds Institute for Data Analytics which is at the forefront of big data research.

Specialist facilities

You’ll benefit from world-class facilities to support your learning. State-of-the-art visualisation labs including a powerwall, a benchtop display with tracking system, WorldViz PPT optical tracking system and Intersense InertiaCube orientation tracker are all among the specialist facilities we have within the School of Computing.

We also have Ascension Flock of Birds tracking systems, three DOF and 6DOF Phantom force feedback devices, Twin Immersion Corp CyberGloves, a cloud computing testbed, rendering cluster and labs containing both Microsoft and Linux platforms among others. It’s an exciting environment in which to gain a range of skills and experience cutting-edge technology.

Course content

Core modules in Semester 1 will lay the foundations of the programme by giving you an understanding of the key topics of algorithms and systems programming, as well as the basic principles of automated reasoning, machine learning and how computers can be made to represent knowledge.

From there you’ll have the chance to tailor your studies to suit your own preferences. You’ll choose from a wide range of optional modules on diverse topics such as image analysis, cloud computing, semantic technologies and developing mobile apps.

Over the summer months you’ll also work on your research project. This gives you the chance to work as an integral part of one of our active research groups, focusing on a specialist topic in computer science and selecting the appropriate research methods.

Want to find out more about your modules?

Take a look at the Advanced Computer Science (Data Analytics) module descriptions for more detail on what you will study.

Course structure

Compulsory modules

  • Machine Learning 10 credits
  • Big Data Systems 15 credits
  • Data Science 15 credits
  • MSc Project 60 credits

Optional modules

  • Web Services and Web Data 10 credits
  • Distributed Systems 10 credits
  • Mobile Application Development 10 credits
  • Information Visualization 10 credits
  • User Adaptive Intelligent Systems 10 credits
  • Data Mining and Text Analytics 10 credits
  • Combinatorial Optimisation 10 credits
  • Secure Computing 10 credits
  • Graph Algorithms and Complexity Theory 10 credits
  • Bio-Inspired Computing 15 credits
  • Knowledge Representation and Reasoning 15 credits
  • Algorithms 15 credits
  • Parallel and Concurrent Programming 15 credits
  • Data Mining and Text Analytics 15 credits
  • Cloud Computing 15 credits
  • Semantic Technologies and Applications 15 credits
  • Image Analysis 15 credits
  • Scheduling 15 credits
  • Scientific Computation 15 credits
  • Graph Theory: Structure and Algorithms 15 credits

Learning and teaching

Our groundbreaking research feeds directly into teaching, and you’ll have regular contact with staff who are at the forefront of their disciplines. You’ll have regular contact with them through lectures, seminars, tutorials, small group work and project meetings.

Independent study is also important to the programme, as you develop your problem-solving and research skills as well as your subject knowledge.

Assessment

You’ll be assessed using a range of techniques including case studies, technical reports, presentations, in-class tests, assignments and exams. Optional modules may also use alternative assessment methods.

Projects

The professional project is one of the most satisfying elements of this course. It allows you to apply what you’ve learned to a piece of research focusing on a real-world problem, and it can be used to explore and develop your specific interests.

Recent projects for MSc Advanced Computer Science students have included:

  • Text mining of e-health patient records
  • Java-based visualization on ultra-high resolution displays
  • Data mining of sports performance data
  • Contour topology
  • Efficient computation for simulating tumour growths

A proportion of projects are formally linked to industry, and can include spending time at the collaborator’s site over the summer.

Career opportunities

Computing is an essential component of nearly every daily activity, from the collection, transformation, analysis and dissemination of information in business, through to smart systems embedded in commodity devices, the image processing used in medical diagnosis and the middleware that underpins distributed technologies like cloud computing and the semantic web.

This programme will give you the practical skills to gain entry into many areas of applied computing, working as application developers, system designers and evaluators; but further, links between the taught modules and our research provide our students with added strengths in artificial intelligence, intelligent systems, distributed systems, and the analysis of complex data. As a result, you’ll be well prepared for a range of careers, as well as further research at PhD level.

Graduates have found success in a wide range of careers working as business analysts, software engineers, wed designers and developers, systems engineers, information analysts and app developers. Others have pursued roles in consultancy, finance, marketing and education, or set up their own businesses.



Read less
University of Leeds Faculty of Engineering
Distance from Leeds: 0 miles
From software agents used in networking systems to embedded systems in unmanned vehicles, intelligent systems are being adopted more and more often. Read more

From software agents used in networking systems to embedded systems in unmanned vehicles, intelligent systems are being adopted more and more often. This programme will equip you with specialist knowledge in this exciting field and allow you to explore a range of topics in computer science.

Core modules will give you a foundation in topics like systems programming and algorithms, as well as the basics of machine learning and knowledge representation. You’ll also choose from optional modules focusing on topics like bio-inspired computing or text analytics, or broaden your approach with topics like mobile app development.

You’ll gain a broad perspective on intelligent systems, covering evolutionary models, statistical and symbolic machine learning algorithms, qualitative reasoning, image processing, language understanding and bio-computation as well as essential principles and practices in the design, implementation and usability of intelligent systems.

Specialist facilities

You’ll benefit from world-class facilities to support your learning. State-of-the-art visualisation labs including a powerwall, a benchtop display with tracking system, WorldViz PPT optical tracking system and Intersense InertiaCube orientation tracker are all among the specialist facilities we have within the School of Computing.

We also have Ascension Flock of Birds tracking systems, three DOF and 6DOF Phantom force feedback devices, Twin Immersion Corp CyberGloves, a cloud computing testbed, rendering cluster and labs containing both Microsoft and Linux platforms among others. It’s an exciting environment in which to gain a range of skills and experience cutting-edge technology.

Course content

Core modules in Semester 1 will lay the foundations of the programme by giving you an understanding of the key topics of algorithms and systems programming, as well as the basic principles of automated reasoning, machine learning and how computers can be made to represent knowledge.

From there you’ll have the chance to tailor your studies to suit your own preferences. You’ll choose from a wide range of optional modules on diverse topics such as image analysis, cloud computing, graph theory and developing mobile apps.

Over the summer months you’ll also work on your research project. This gives you the chance to work as an integral part of one of our active research groups, focusing on a specialist topic in computer science and selecting the appropriate research methods.

Want to find out more about your modules?

Take a look at the Advanced Computer Science (Intelligent Systems) module descriptions for more detail on what you will study.

Course structure

Compulsory modules

  • MSc Project 60 credits
  • Bio-Inspired Computing 15 credits
  • Knowledge Representation and Reasoning 15 credits
  • Image Analysis 15 credits

Optional modules

  • Distributed Systems 10 credits
  • Mobile Application Development 10 credits
  • Machine Learning 10 credits
  • Intelligent Systems and Robotics 20 credits
  • User Adaptive Intelligent Systems 10 credits
  • Data Mining and Text Analytics 10 credits
  • Combinatorial Optimisation 10 credits
  • Graph Algorithms and Complexity Theory 10 credits
  • Big Data Systems 15 credits
  • Data Science 15 credits
  • Algorithms 15 credits
  • Parallel and Concurrent Programming 15 credits
  • Cloud Computing 15 credits
  • Semantic Technologies and Applications 15 credits
  • Scheduling 15 credits
  • Scientific Computation 15 credits
  • Graph Theory: Structure and Algorithms 15 credits

Learning and teaching

Our groundbreaking research feeds directly into teaching, and you’ll have regular contact with staff who are at the forefront of their disciplines. You’ll have regular contact with them through lectures, seminars, tutorials, small group work and project meetings.

Independent study is also important to the programme, as you develop your problem-solving and research skills as well as your subject knowledge.

Assessment

You’ll be assessed using a range of techniques including case studies, technical reports, presentations, in-class tests, assignments and exams. Optional modules may also use alternative assessment methods.

Projects

The professional project is one of the most satisfying elements of this course. It allows you to apply what you’ve learned to a piece of research focusing on a real-world problem, and it can be used to explore and develop your specific interests.

Recent projects for MSc Advanced Computer Science (Intelligent Systems) students have included:

  • Object-based attention in a biologically inspired network for artificial vision
  • Advanced GIS functionality for animal habitat analysis
  • Codebook construction for feature selection
  • Learning to imitate human actions

A proportion of projects are formally linked to industry, and can include spending time at the collaborator’s site over the summer.

Career opportunities

Computing is an essential component of nearly every daily activity, from the collection, transformation, analysis and dissemination of information in business, through to smart systems embedded in commodity devices, the image processing used in medical diagnosis and the middleware that underpins distributed technologies like cloud computing and the semantic web.

This programme will give you the practical skills to gain entry into many areas of applied computing, working as application developers, system designers and evaluators; but further, links between the taught modules and our research provide our students with added strengths in artificial intelligence, intelligent systems, distributed systems, and the analysis of complex data. As a result, you’ll be well prepared for a range of careers, as well as further research at PhD level.

Graduates have found success in a wide range of careers working as business analysts, software engineers, wed designers and developers, systems engineers, information analysts and app developers. Others have pursued roles in consultancy, finance, marketing and education, or set up their own businesses.



Read less
University of Leeds School of Mathematics
Distance from Leeds: 0 miles
This interdisciplinary Masters degree provides you with a broad background in some mainstream and modern aspects of mathematics and computer science. Read more

This interdisciplinary Masters degree provides you with a broad background in some mainstream and modern aspects of mathematics and computer science. You’ll be introduced to sophisticated techniques at the forefront of both disciplines.

The programme combines teaching and research from the School of Mathematics and the School of Computing. Based on the Schools’ complementary research strengths the programme follows two main strands:

  • Algorithms and complexity theory
  • Numerical methods and parallel computing

You’ll have the choice to specialise in one of these strands, gaining specialist knowledge and skills that will prepare you for a wide range of careers. You’ll also develop your research skills when you complete your dissertation.

If you do not meet the full academic entry requirements then you may wish to consider the Graduate Diploma in Mathematics. This course is aimed at students who would like to study for a mathematics related MSc course but do not currently meet the entry requirements. Upon completion of the Graduate Diploma, students who meet the required performance level will be eligible for entry onto a number of related MSc courses, in the following academic year.

Course content

It is expected that you will specialise in one of two areas during the course, although this is not essential.

The two strands are:

Algorithms and complexity theory and connections to logic and combinatorics

This concerns the efficiency of algorithms for solving computational problems, and identifies hierarchies of computational difficulty. This subject has applications in many areas, such as distributed computing, algorithmic tools to manage transport infrastructure, health informatics, artificial intelligence, and computational biology.

Numerical methods and parallel computing

Many problems, in mathematics, physics, astrophysics and biology cannot be solved using analytical techniques and require the application of numerical algorithms for progress. The development and optimisation of these algorithms coupled to the recent increase in computing power via the availability of massively parallel machines has led to great advances in many fields of computational mathematics. This subject has applications in many areas, such as combustion, lubrication, atmospheric dispersion, river and harbour flows, and many more.

For information on typical modules, read Mathematics and Computer Science MSc in the course catalogue

Learning and teaching

Teaching is carried out through a mixture of lectures and smaller group activities such as workshops. Most modules are assessed by a mix of coursework and written examinations. There is also the opportunity to complete a summer project which is individually supervised by a member of staff.

Assessment

The taught course is primarily assessed by end-of-semester examinations with a small component of continuous assessment. The semester three project is assessed by a written dissertation and a short oral presentation.

Career opportunities

Each of these areas offers many career options, and the MSc will provide you with both technical and transferrable skills, for example, conducting an extended and independent research project. It will also offer you excellent preparation for doctoral research in these or related subjects. On completion of the degree you can progress onto a wide range of opportunities including:

  • PhD in Mathematics, or in Computer Science
  • Careers in Computing and Industries which require algorithmic tools (transport infrastructure, health informatics, computational biology, artificial intelligence, companies developing the internet (e.g. search engines).
  • Many other careers (e.g. in Finance) where a mathematics background is valued.

In collaboration with both industrial and academic partners, our research has resulted in computational techniques, and software, that has been widely applied. Our industry links are extensive and include companies such as Google, Yahoo, Akamai, Microsoft, and Tracsis, as well as the NHS.

Careers support

We encourage you to prepare for your career from day one. That’s one of the reasons Leeds graduates are so sought after by employers.

The Careers Centre and staff in your faculty provide a range of help and advice to help you plan your career and make well-informed decisions along the way, even after you graduate. Find out more at the Careers website.



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University of Leeds Faculty of Engineering
Distance from Leeds: 0 miles
By studying this Masters, you’ll be well placed to join one of the most performance-driven applications of computer science – the multi-billion pound global games industry. Read more

By studying this Masters, you’ll be well placed to join one of the most performance-driven applications of computer science – the multi-billion pound global games industry. As a graduate, you will work at the top-end of the games industry and will develop computer graphics on high-performance platforms, or write engines for the next generation of games.

Developed in collaboration with a prestigious steering group, this course will build on your computer science knowledge to specialise in computer graphics, where programmers must push computing resources to the limit, using deep understanding of architecture and high-performance programming to generate new levels of graphical realism and visual effects on cutting-edge hardware platforms.

You’ll gain proficiency in low-level programming, a thorough understanding of multi-core and many-core programming techniques, game engine and tool development techniques, and fundamental insight into graphics and the practical techniques used in games.

Designed to meet the needs of industry

You can be sure that what you learn will be the technical skills required by industry as this course has been developed in collaboration with a prestigious steering group from industry comprising:

Members of our steering group will contribute to the delivery of the course ensuring that you learn the latest industry developments. You’ll also have the opportunity to engage directly with the games industry, through:

  • co-curricula industry lectures
  • visits to games development companies
  • attending UK games events.

We are also a member of Game Republic, which is an industry-led professional games network that supports and promotes the Yorkshire and Northern England games sector. We hope that students of this course will take part in the Game Republic student showcase.

Specialist facilities

You will use workstations with high-end GPUs to act as DirectX12 and Vulkan games development platforms and have access to other specialist hardware including the latest Virtual Reality headsets for experimenting on. For learning games engine design and exploring new rendering techniques, students will be working with the source code of a leading game engine, Epic’s “Unreal Engine 4”.

Course content

Interested in graphics? Our course provides unparalleled opportunity to study graphics in depth, with more modules on advanced graphics and graphics programming than any other institution in the Russell Group.

A series of compulsory modules will develop your knowledge and skills in high-performance graphics and games engineering. By the end of this course, your technical skills – as demanded by the industry – will be second to none in the following areas:

  • low-level programming (C++, Graphic and Compute shaders)
  • multi-core and many core programming techniques
  • computer graphics, from core principles to the practical techniques used in games, including: geometric models; animation and simulation; advanced methods for visual realism.
  • game engine and tool development techniques.

Over the summer months you’ll also work on your research project. This gives you the chance to work as an integral part of one of our active research groups, focusing on a specialist topic in computer science and selecting the appropriate research methods.

Want to find out more about your modules?

Take a look at our High-Performance Graphics and Games Engineering module descriptions.

Course structure

Compulsory modules

  • MSc Project 60 credits
  • Parallel and Concurrent Programming 15 credits
  • Foundations of Modelling and Rendering 15 credits
  • Games Engines and Workflow 15 credits
  • Geometric Processing 15 credits
  • High-Performance Graphics 15 credits
  • Animation and Simulation 15 credits

Optional modules

  • Bio-Inspired Computing 15 credits
  • Data Mining and Text Analytics 15 credits
  • Cloud Computing 15 credits
  • Semantic Technologies and Applications 15 credits
  • Image Analysis 15 credits
  • Scheduling 15 credits
  • Scientific Computation 15 credits
  • Graph Theory: Structure and Algorithms 15 credits

For more information on typical modules, read High Performance Graphics and Games Engineering MSc in the course catalogue

Learning and teaching

We have an active research environment which feeds directly into our teaching. You’ll have regular contact with staff through lectures, seminars, tutorials, small group work and project meetings. Independent study is also important to the programme, as you develop your problem-solving and research skills as well as your subject knowledge.

Our close links with industry also mean that you have direct contact with industry and potential employers from an early stage in your course. Members of our steering group will contribute to the delivery of the course ensuring that you learn the latest industry developments. You’ll also have the opportunity to engage directly with the games industry through industry lectures, visits to games development companies and attending UK games events.

Assessment

You’ll be assessed using a range of techniques including case studies, technical reports, presentations, in-class tests, assignments and exams. Optional modules may also use alternative assessment methods.

Career opportunities

There is a shortage of highly skilled graduates in this field, so once you’ve completed this course it’s highly likely that you will be in demand. You’ll be well placed to join the multi-billion pound global games industry, in positions such as a software developer, technology leader for graphics and rendering or a games development leader or a technical director. You’ll be expected to progress rapidly into leadership roles, becoming the ‘go to’ person for expertise in graphics technologies.

Outside the games industry, the programming skills you develop during this course would allow you to secure a position in other performance-driven industries, for example embedded systems. Your computer graphics expertise could lead to opportunities in the animation and visual production industries.



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University of Leeds School of Mathematics
Distance from Leeds: 0 miles
We are surrounded by data. The variety and amount we collect and store grows every day, from the simplest of retail transactions to the complex and intimate medical records of millions. Read more

We are surrounded by data. The variety and amount we collect and store grows every day, from the simplest of retail transactions to the complex and intimate medical records of millions.

Why do we store data? Where do we store it? How do we retrieve it? What do we use it for?

There is an increasing demand for individuals who can manage and control the way data is used. These individuals require an understanding of computer science and mathematics as well as a range of sector specific skills which can be applied in a variety of business environments.

The Data Science and Analytics MSc is a highly flexible course which offers the opportunity to develop a range of skills, including analysing structured and unstructured data, analysing large datasets and critically evaluating results in context, through a combination of compulsory and optional modules. By choosing appropriate modules you can follow specific pathways, in business management, healthcare or geographic information systems (GIS), which will allow you to tailor the programme to suit your background and needs.

The course combines expertise from the Schools of Computing, Geography and Mathematics with that of Leeds University Business School and the Yorkshire Centre for Health Informatics. This collaboration allows you to benefit from a range of data science perspectives and applications, supporting you to tailor your learning to your career ambitions.

Course content

The programme will equip students with the necessary knowledge and skills in data science.

Students on this programme will be benefit from being taught by experts from different academic units: the School of Mathematics (SoM); the School of Computing (SoC); the Yorkshire Centre for Health Informatics (YCHI); the Faculty of Medicine and Health (FoM); the School of Geography (SoG) and Leeds University Business School (LUBS).

Modules are available from each of these areas and in addition there are three new modules available in the SoM for students who are not from a mathematics/statistics background, while modules in the SoC will be suitable for students on this programme who are not from a computer science background.

The programme will therefore expose students to different perspectives on data science, including the mathematical and computational underpinnings of the subject and practical understanding of application in a specific context. In particular, we anticipate many projects for the dissertation will span at least two units with joint supervision. As well as emphasizing the application nature of the programme, the dissertation will feature strongly data elucidation, analysis, and interpretation of real-world problems.

Course structure

Compulsory modules

  • Data Science 15 credits
  • Learning Skills through Case Studies 15 credits
  • Dissertation in Data Science and Analytics 60 credits 

For more information on typical modules, read Data Science and Analytics MSc in the course catalogue

Learning and teaching

Teaching is by lectures, tutorials, seminars and supervised research projects.

Assessment

Assessment is by a range of methods, including formal examination, assignments, coursework, reports and practical activities.

Career opportunities

There is increasing demand for individuals who can manage and control the way data is used. These individuals require an understanding of computer science and mathematics as well as a range of sector specific skills.

The emerging era of ‘big data’ brought about by the digital technology revolution shows no signs of abating. In this era, demand for data scientists will continue to grow, with one report forecasting a shortage of 140,000 – 190,000 data scientists by 2018 in the US alone.

Careers support

We encourage you to prepare for your career from day one. That’s one of the reasons Leeds graduates are so sought after by employers.

The Careers Centre and staff in your faculty provide a range of help and advice to help you plan your career and make well-informed decisions along the way, even after you graduate. Find out more at the Careers website.



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This is a flexible course which you can tailor to suit your own specific areas of interest, experience and career aspirations. You will have the opportunity to choose from a range of modules in areas such as information systems, computing and creative technologies. Read more
This is a flexible course which you can tailor to suit your own specific areas of interest, experience and career aspirations. You will have the opportunity to choose from a range of modules in areas such as information systems, computing and creative technologies.

Our modules vary in their technical nature with either a practical or theoretical focus, and we will advise on which ones are right for you.

- Research Excellence Framework 2014: our University demonstrated strength in five emerging areas of research which it entered into the assessment for the first time, including computer science.January entrants please note: in order to complete 12 months of academic study delivered in University term time, the total length of your programme will be 18 months to include recognised University vacation periods.

Visit the website http://courses.leedsbeckett.ac.uk/informationandtechnology_msc

Mature Applicants

Our University welcomes applications from mature applicants who demonstrate academic potential. We usually require some evidence of recent academic study, for example completion of an access course, however recent relevant work experience may also be considered. Please note that for some of our professional courses all applicants will need to meet the specified entry criteria and in these cases work experience cannot be considered in lieu.

If you wish to apply through this route you should refer to our University Recognition of Prior Learning policy that is available on our website (http://www.leedsbeckett.ac.uk/studenthub/recognition-of-prior-learning.htm).

Please note that all applicants to our University are required to meet our standard English language requirement of GCSE grade C or equivalent, variations to this will be listed on the individual course entry requirements.

Careers

Your employability is enhanced through our contacts with industry, our Careers Advice Service and providing you with up-to-date knowledge and skills which are in demand in this sector. You can look forward to a wide range of career opportunities in the field of internet, enterprise software development and information systems.

- Web Developer
- User Interface Designer
- PHP Developer
- IT Project Manager

Careers advice:
The dedicated Jobs and Careers team offers expert advice and a host of resources to help you choose and gain employment. Whether you're in your first or final year, you can speak to members of staff from our Careers Office who can offer you advice from writing a CV to searching for jobs.

Visit the careers site - https://www.leedsbeckett.ac.uk/employability/jobs-careers-support.htm

Course Benefits

Our course has strong links with industry to ensure content is always relevant to the needs of the sector and you are encouraged to engage with our external clients for your final project. Guest lecturers are invited to speak and you will have the opportunity to get involved with industry related events.

Modules

Dissertation (40 Credits)

Research Practice (20 Credits)

Option Modules (Semester 2) (20 Credits each)
Service Oriented Architecture; Green Computing Strategies; Systems, Designs, Innovation; Software and Systems; Critical Perspectives on Information; Mobile Application Development; Data Warehouse Models and Approaches(SAS); Intelligent Systems and Robotics; Lean and Agile Engineering; Mobile Games Prototyping; BI Principles, Data Analysis and Visualisation(SAS); Network and Convergence Architectures; Green Computing Technologies; Engineering Systems Control; Design Patterns for Web Dev.

Option Modules (Semester 1) (20 Credits each)
Database Systems; Managing Information in the Digital and Global Environment; User Experience Design; Digital Video and Audio; Mobile and Wireless Communications; Advanced Software Engineering; Eco Engineering; Software Components and Architecture; ICT and Environment; Responsive Web Development; 3D Computer Technologies; Simulation and Modelling; Network Management.

Project Management (20 Credits)

Professor Mohammad Dastbaz

Dean, Faculty of Arts, Environment and Technology

"We aim to provide innovation in curriculum, engagement with current industry practices and standards, and to give our students the experience of working with staff whose research has national and international reputation."

Mohammad is responsible for the strategic leadership of the Faculty of Arts, Environment and Technology,having joined our University in June 2011 from the University of East London. A well published researcher, with over 50 refereed conference and Journal publications, his research profile includes many funded research programmes including JISC and EU FP7 projects. Mohammad’s first degree was in Electrical and Electronic Engineering. He then went on to complete a PhD in the 'Design, Development and Evaluation of Multimedia Based Learning Systems' at Kingston University. In 1989 he set up one of the UK's first multimedia PC companies, 'Systems 2000'.

Facilities

- IT Labs
The University is home to a number of modern specialist IT labs equipped with all the up-to-date hardware and software our computing students could need

- Library
Our libraries are two of the only university libraries in the UK open 24/7 every day of the year. However you like to study, the libraries have got you covered with group study, silent study, extensive e-learning resources and PC suites.

- Headingley Campus
Our historic Headingley Campus is set in 100 acres of parkland with easy access to Leeds city centre.

Find out how to apply here - http://www.leedsbeckett.ac.uk/postgraduate/how-to-apply/

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This course offers you the opportunity to explore the latest concepts, methods and tools for software engineering. You will investigate state-of-the-art techniques relating to software quality, design and development which will enable you to produce robust and complex systems. Read more
This course offers you the opportunity to explore the latest concepts, methods and tools for software engineering. You will investigate state-of-the-art techniques relating to software quality, design and development which will enable you to produce robust and complex systems.

This hands-on course has been developed in conjunction with our industrial contacts in order to equip you with the skills required by employers. You will develop management techniques, advanced modelling skills and applications that will enable you to progress in your career.

The course is taught by experts who are working in the industry and you will have the opportunity to gain a professional certification. Our course has been developed as part of on-going research on software components and Service-Oriented Architecture (SOA).

January entrants please note: in order to complete 12 months of academic study delivered in University term time, the total length of your programme will be 18 months to include recognised University vacation periods.

- Research Excellence Framework 2014: our University demonstrated strength in five emerging areas of research which it entered into the assessment for the first time, including computer science.

Visit the website http://courses.leedsbeckett.ac.uk/softwareeng_msc

Mature Applicants

Our University welcomes applications from mature applicants who demonstrate academic potential. We usually require some evidence of recent academic study, for example completion of an access course, however recent relevant work experience may also be considered. Please note that for some of our professional courses all applicants will need to meet the specified entry criteria and in these cases work experience cannot be considered in lieu.

If you wish to apply through this route you should refer to our University Recognition of Prior Learning policy that is available on our website (http://www.leedsbeckett.ac.uk/studenthub/recognition-of-prior-learning.htm).

Please note that all applicants to our University are required to meet our standard English language requirement of GCSE grade C or equivalent, variations to this will be listed on the individual course entry requirements.

Careers

You will graduate from this course with a thorough understanding of the practical and theoretical issues associated with managing software development. There is an increasingly short supply of talent in software engineering and its management, and you will possess the skills that are highly sought after in the industry.

- Project Manager
- Technical Manager
- IT Manager
- Business Analyst

Careers advice: The dedicated Jobs and Careers team offers expert advice and a host of resources to help you choose and gain employment. Whether you're in your first or final year, you can speak to members of staff from our Careers Office who can offer you advice from writing a CV to searching for jobs.

Visit the careers site - https://www.leedsbeckett.ac.uk/employability/jobs-careers-support.htm

Course Benefits

This course offers both hands on knowledge and on up to date theoretical background. You will benefit from our close links with industry, while our own research activities feed into our course teaching. We will help you to develop skills implementing best practices when designing software solutions and strategies.

You will be able to use Visual Paradigm software, a design and management tool for business IT system development, on several modules on this course. This is provided in partnership with Visual Paradigm (http://www.visual-paradigm.com/).

Modules

Advanced Software Engineering (20 Credits)
This module investigates the knowledge and skills you will require to develop quality software systems including contemporary methodologies and techniques for version control, testing and documentation. Content include: Test-driven development tools and techniques. Aspect-oriented software development, Agile SE paradigms, methods, Extreme Programming methods (XP).

Project Management (20 Credits)
Develop your understanding of key project management concepts - primarily the planning, organisation and control of resources in order to move a specific task, event or project toward completion.

Dissertation (40 Credits)
The dissertation / Masters project aims to provide an opportunity for you to engage in research and advanced scholarship in a subject area that is appropriate to your course but of your own choosing.

Research Practice (20 Credits)
This module aims to develop your awareness of the methods and skills which are required in order to carry out Masters level research successfully, and to reflect critically on your own development in the context of your chosen programme of study.

Service-Oriented Architecture (SOA) (20 Credits)
SOA is a software development paradigm specifically developed for emerging markets in cloud computing and web services. This involves analysing, designing, and managing solutions for SOA. This course will also have opportunity to gain real world certification from SOA systems who is one of the world expertise in this area. Content include: SOA concepts, technology, and design. Web services paradigms, SOA analysis, design, and implementation strategies.

Software Components and Architectures (20 Credits)
Software applications are becoming increasingly complex and their target platforms more diverse. The ability to manage such complexity is essential. This module develops your skills in Components Based Software Engineering (CBSE), in particular modelling techniques, analysing system complexity, and applying best practice design principles.

Software & Systems (20 Credits)
You'll examine the techniques and technologies used in low level systems programming. You'll learn to apply development approaches which are 'core' to the functionality of a modern day computer system.

Design Patterns for Web Development (20 Credits) (Option Module)
Network & Convergence Architectures (20 Credits) (Option Module)
BI Principles (20 Credits) (Option Module)
Mobile Games Prototyping (20 Credits) (Option Module)
Data Warehouse Models & Approaches (20 Credits) (Option Module)
Mobile Application Development (20 Credits) (Option Module)
Critical Perspectives for Information (20 Credits) (Option Module)
Systems, Designs & Innovation (20 Credits) (Option Module)

Facilities

- IT Labs
The University is home to a number of modern specialist IT labs equipped with all the up-to-date hardware and software our computing students could need

- Library
Our libraries are two of the only university libraries in the UK open 24/7 every day of the year. However you like to study, the libraries have got you covered with group study, silent study, extensive e-learning resources and PC suites.

- Headingley Campus
Our historic Headingley Campus is set in 100 acres of parkland with easy access to Leeds city centre.

Find out how to apply here - http://www.leedsbeckett.ac.uk/postgraduate/how-to-apply/

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Have you ever noticed the adverts down the side of your Facebook page or received an email promoting a product you were 'looking for'? Do you wonder how this happens? Business intelligence and the insight it provides is now at the forefront of driving companies' strategic decisions. Read more
Have you ever noticed the adverts down the side of your Facebook page or received an email promoting a product you were 'looking for'? Do you wonder how this happens? Business intelligence and the insight it provides is now at the forefront of driving companies' strategic decisions. It's vital for businesses to understand their performance but, more importantly, identify their future potential.

This course teaches you to utilise data that is available to an organisation and present this information in an accessible format which will enable decision makers within a company to plan for the future.

You will study modules that are accredited by SAS - an industry leader in developing business intelligence tools - and this unique relationship will build your knowledge of their systems, enhancing your skillset to analyse data.

Whether it's to improve products, processes, consumer relationships or target customers - firms across all industries and managers across all departments benefit from good business intelligence. We will equip you with the skills to analyse data systems, advise colleagues and take a leading role in shaping a company's decisions.

You will graduate with the ability to understand the data and its sources, design and implement a data warehouse, and be able to act upon this information to support the business strategy planning. We will develop your skills in predictive analysis, report writing, identifying patterns, and how outside factors and current issues can affect the findings.

- Research Excellence Framework 2014: our University demonstrated strength in five emerging areas of research which it entered into the assessment for the first time, including computer science.

Visit the website http://courses.leedsbeckett.ac.uk/businessintelligencesas_msc

Mature Applicants

Our University welcomes applications from mature applicants who demonstrate academic potential. We usually require some evidence of recent academic study, for example completion of an access course, however recent relevant work experience may also be considered. Please note that for some of our professional courses all applicants will need to meet the specified entry criteria and in these cases work experience cannot be considered in lieu.

If you wish to apply through this route you should refer to our University Recognition of Prior Learning policy that is available on our website (http://www.leedsbeckett.ac.uk/studenthub/recognition-of-prior-learning.htm).

Please note that all applicants to our University are required to meet our standard English language requirement of GCSE grade C or equivalent, variations to this will be listed on the individual course entry requirements.

Careers

Whether it's retail, insurance, banking, education, hospitals, police, medical research or the military - you will have the skills to help lead any business in any industry that uses business intelligence to make strategic decisions. If you already work in industry, possibly as a programmer or in IT, our course will help facilitate your career progression.

- Business Intelligence Analyst
- Test Consultant
- NHS Analytical Support Officer
- Corporate Performance Analyst

Careers advice:
The dedicated Jobs and Careers team offers expert advice and a host of resources to help you choose and gain employment. Whether you're in your first or final year, you can speak to members of staff from our Careers Office who can offer you advice from writing a CV to searching for jobs.

Visit the careers site - https://www.leedsbeckett.ac.uk/employability/jobs-careers-support.htm

Course Benefits

The NHS, banks and police are among those who already use SAS system tools, and you will have the opportunity to take the SAS test, a chance to become accredited to work on their systems.

SAS want to see a higher number of business intelligence graduates who possess more than just a background in maths and statistics - they also want strong computing skills. You will be one such graduate.

Guest speakers from the business intelligence industry will also improve your knowledge and understanding of how data can be used by companies to plan their next business move.

Professor Mohammad Dastbaz

Dean, Faculty of Arts, Environment and Technology

"We aim to provide innovation in curriculum, engagement with current industry practices and standards, and to give our students the experience of working with staff whose research has national and international reputation."

Mohammad is responsible for the strategic leadership of the Faculty of Arts, Environment and Technology,having joined our University in June 2011 from the University of East London. A well published researcher, with over 50 refereed conference and Journal publications, his research profile includes many funded research programmes including JISC and EU FP7 projects. Mohammad’s first degree was in Electrical and Electronic Engineering. He then went on to complete a PhD in the 'Design, Development and Evaluation of Multimedia Based Learning Systems' at Kingston University. In 1989 he set up one of the UK's first multimedia PC companies, 'Systems 2000'.

Facilities

- Library
Our Library is one of the only university libraries in the UK open 24/7 every day of the year. However you like to study, our Library has you covered with group study, silent study, extensive e-learning resources and PC suites.

- Headingley Campus
Broadcasting Place provides students with creative and contemporary learning environments, is packed with the latest technology and is a focal point for new and innovative thinking in the city.

Find out how to apply here - http://www.leedsbeckett.ac.uk/postgraduate/how-to-apply/

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University of Leeds Faculty of Engineering
Distance from Leeds: 0 miles
Computing and communications technologies are having a truly disruptive effect on societies and business worldwide. Mobile payments, wireless communications and the ‘Internet of Things’ are transforming the way we approach key challenges in development, security, healthcare and the environment. Read more

Computing and communications technologies are having a truly disruptive effect on societies and business worldwide. Mobile payments, wireless communications and the ‘Internet of Things’ are transforming the way we approach key challenges in development, security, healthcare and the environment.

Taught jointly by the School of Computing and the School of Electronic and Electrical Engineering, this course will give you a grasp of all layers needed for mobile communication and computation, from the physical network layer through to the applications that run on mobile devices.

You’ll gain a full understanding of the web and cloud computing infrastructure, as core modules give you a foundation in key topics like systems programming and data communications. A range of optional modules will then allow you to focus on topics that suit your interests and career plans, from cloud computing to embedded systems design and high speed web architecture.

Specialist facilities

You’ll benefit from world-class facilities to support your learning. State-of-the-art visualisation labs including a powerwall, a benchtop display with tracking system, WorldViz PPT optical tracking system and Intersense InertiaCube orientation tracker are all among the specialist facilities we have within the School of Computing.

We also have Ascension Flock of Birds tracking systems, three DOF and 6DOF Phantom force feedback devices, Twin Immersion Corp CyberGloves, a cloud computing testbed, rendering cluster and labs containing both Microsoft and Linux platforms among others. It’s an exciting environment in which to gain a range of skills and experience cutting-edge technology.

Course content

You’ll take two core modules in Semester 1 that introduce you to fundamental topics like systems programming and network security. With this foundation, you’ll be able to gain high-level specialist knowledge through your choice of optional modules taught by the School of Computing and the School of Electronic and Electrical Engineering.

The optional modules you choose will enable you to direct your studies towards topics that suit your personal interests and career ambitions such as mobile app development, digital media engineering, big data, cloud computing and embedded systems design, among others.

Over the summer months you’ll also work on your research project. This gives you the chance to work as an integral part of one of our active research groups, focusing on a specialist topic in computer science and selecting the appropriate research methods.

Course structure

Compulsory modules

  • MSc Project 60 credits
  • Data Communications and Network Security 15 credits

Optional modules

  • Distributed Systems 10 credits
  • Mobile Application Development 10 credits
  • Combinatorial Optimisation 10 credits
  • Secure Computing 10 credits
  • Graph Algorithms and Complexity Theory 10 credits
  • Functional Programming 10 credits
  • Big Data Systems 15 credits
  • Mobile Applications Development 15 credits
  • Algorithms 15 credits
  • Parallel and Concurrent Programming 15 credits
  • Cloud Computing 15 credits
  • Graph Theory: Structure and Algorithms 15 credits
  • Communication Network Design 15 credits
  • Optical Communications Networks 15 credits
  • High Speed Internet Architecture 15 credits
  • Digital Media Engineering 15 credits

For more information on typical modules, read Mobile Computing and Communication Networks MSc in the course catalogue

Learning and teaching

Our groundbreaking research feeds directly into teaching, and you’ll have regular contact with staff who are at the forefront of their disciplines. You’ll have regular contact with them through lectures, seminars, tutorials, small group work and project meetings.

Independent study is also important to the programme, as you develop your problem-solving and research skills as well as your subject knowledge.

Assessment

You’ll be assessed using a range of techniques including case studies, technical reports, presentations, in-class tests, assignments and exams. Optional modules may also use alternative assessment methods.

Projects

The professional project is one of the most satisfying elements of this course. It allows you to apply what you’ve learned to a piece of research focusing on a real-world problem, and it can be used to explore and develop your specific interests.Most projects are experimentally based and linked with companies within the oil and gas industry to ensure the topic of research is relevant to the field whilst also addressing a real-world problem.

A proportion of projects are formally linked to industry, and can include spending time at the collaborator’s site over the summer.

Career opportunities

Career opportunities are extremely broad, covering jobs in the design of embedded software running on multi-core devices through to jobs involving the design and implementation of new mobile-applications centric systems for business. In the application of mobile computing skills, job opportunities span every area, from the automotive sector through to retail and banking.

You could launch a career in fields such as mobile app development, mobile systems architecture, project management, network consultancy. You could also work as an engineer in embedded mobile communications, network security or research and development among many others – and you’ll even be well-prepared for PhD study.

Careers support

You’ll have access to the wide range of engineering and computing careers resources held by our Employability team in our dedicated Employability Suite. You’ll have the chance to attend industry presentations book appointments with qualified careers consultants and take part in employability workshops. Our annual Engineering and Computing Careers Fairs provide further opportunities to explore your career options with some of the UK’s leading employers.

The University's Careers Centre also provide a range of help and advice to help you plan your career and make well-informed decisions along the way, even after you graduate. Find out more at the Careers website.



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We believe that computing and communication networks are two of the most exciting and significant technological developments of modern times. Read more
We believe that computing and communication networks are two of the most exciting and significant technological developments of modern times. Networking is the backbone of all industries and we'll give you the opportunity to explore this technology, making use of materials and equipment from some of the leading industry names.

Based on the feedback we've had from industry, employers and students, we've created this course so that it has a real emphasis on providing you with hands-on technical skills that you can apply in the workplace.

We'll teach you the theories behind core networking principles - looking at how to apply networking technologies to create converged networks and how to apply them in industrial scenarios. You will investigate the tools and techniques required to develop, maintain and secure the various elements that provide 21st century communications.

In addition to this, you will specialise in the design, implementation and management of wired and wireless computer network systems in order to provide the unified communication systems that are becoming the norm.

Our course can also help you to gain the skills needed to get certification of your expertise in using tools from Network Instruments, Cisco Systems and Red Hat.

- Research Excellence Framework 2014: our University demonstrated strength in five emerging areas of research which it entered into the assessment for the first time, including computer science.

Visit the website http://courses.leedsbeckett.ac.uk/networkingsystemsengineering_msc

Mature Applicants

Our University welcomes applications from mature applicants who demonstrate academic potential. We usually require some evidence of recent academic study, for example completion of an access course, however recent relevant work experience may also be considered. Please note that for some of our professional courses all applicants will need to meet the specified entry criteria and in these cases work experience cannot be considered in lieu.

If you wish to apply through this route you should refer to our University Recognition of Prior Learning policy that is available on our website (http://www.leedsbeckett.ac.uk/studenthub/recognition-of-prior-learning.htm).

Please note that all applicants to our University are required to meet our standard English language requirement of GCSE grade C or equivalent, variations to this will be listed on the individual course entry requirements.

Careers

Embracing networking technologies is a must for all organisations around the world - that's why there is always a high demand for networking professionals. Possible job titles include network manager, network security specialist, network designer specialist and mobile communications specialist. You will also have a range of career paths available to you in the areas of automation using networking technologies in businesses.

- Network Manager
- Network Security Specialist
- Mobile Communications Specialist

Careers advice: The dedicated Jobs and Careers team offers expert advice and a host of resources to help you choose and gain employment. Whether you're in your first or final year, you can speak to members of staff from our Careers Office who can offer you advice from writing a CV to searching for jobs.

Visit the careers site - https://www.leedsbeckett.ac.uk/employability/jobs-careers-support.htm

Careers

We're tremendously proud of our strong links with industry and the research activity of our teaching team ensures the content of our course is kept up-to-date and in line with the needs of the sector.

Recognising the importance for you to learn hands-on skills which you can demonstrate to employers is at the heart of our course. We invite experts from industry to deliver guest lectures and we have strong ties with Generix - a company that provides industry standard networking tools and software. Generix have previously provided our students with workshops on how to use Observer Network Management platform. You will also get the opportunity to study using other industry standard software such as OpenNMS.

Our course recognises the need to have in-depth knowledge of networking principles, design and simulation. Practical elements include network design and performance simulations with OPNET and configuring LAN switches. In addition to this, we will teach you how to deploy and manage convergence networks and employ remote monitoring techniques in industrial scenarios.

Core Modules

Dissertation (40 Credits)
This is an opportunity for you to engage in research and advanced scholarship in a subject area that is appropriate to the course and of your own choosing.

Option Modules (20 Credits Each)
Linux Computing Essentials, Service Oriented Architecture, Mobile Application Development

Mobile & Wireless Communications (20 Credits)
Develop your understanding of mobile cellular networks, satellite communications, and applications that can be implemented on mobile devices. You will build applications and investigate the issues associated with the deployment of these applications.

Network & Convergence Architectures (20 Credits)
An in-depth look at the principles of networking with a focus on the techniques for deploying modern converged networks. We will help you identify the parameters that contribute to network performance in modern day converged networks.

Project Management (20 Credits)
Develop your understanding of the key concepts associated with project management - primarily the planning, organisation and control of resources in order to move a specific task, event or project toward completion.

Engineering Systems Control (20 Credits)
Study real time control issues using the latest PLC controls and emulation software. You will conduct remote monitoring using web enabled software and wireless connectivity.

Network Management (20 Credits)
Study the techniques used by modern network managers to collect management data, look for faults on the network and to identify diagnostic procedures that are on a par with industry standards.

Facilities

- IT Labs
The University is home to a number of modern specialist IT labs equipped with all the up-to-date hardware and software our computing students could need

- Library
Our libraries are two of the only university libraries in the UK open 24/7 every day of the year. However you like to study, the libraries have got you covered with group study, silent study, extensive e-learning resources and PC suites.

- Headingley Campus
Our historic Headingley Campus is set in 100 acres of parkland with easy access to Leeds city centre.

Find out how to apply here - http://www.leedsbeckett.ac.uk/postgraduate/how-to-apply/

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Managing information is a competitive necessity for organisations worldwide. New information communication technologies have led to growth, opportunity and disruption for businesses, and the skills to drive opportunity through information management are in high demand. Read more

Managing information is a competitive necessity for organisations worldwide. New information communication technologies have led to growth, opportunity and disruption for businesses, and the skills to drive opportunity through information management are in high demand.

This Masters gives you the skills and knowledge to engage with the information society as a leader, innovator and entrepreneurial manager.

You’ll learn to understand and integrate contemporary theory while exploring the latest trends. Taught by our leading academics and business practitioners, you’ll be shown how to select and use cutting-edge tools and techniques to solve complex business challenges, with opportunities to gain hands-on experience through live case studies and projects.

You’ll benefit from interaction with leading UK and European businesses through panel discussions, mentoring sessions and workshops, all of which help you prepare for the challenges of a fast-changing sector.

Academic excellence

This Masters is supported by an advisory board, with representatives from leading UK and international businesses including IBM, Ericsson, Lloyds Banking Group and Thales Group. They advise on content, deliver guest lectures, provide dissertation projects and offer site visits. You’ll benefit from a curriculum developed in collaboration with these partners, which allows us to focus our teaching on the skills most relevant to the workplace.

Teaching on the MSc is informed by leading scholars from the AIMTech Research Centre at Leeds University Business School, one of Europe’s most influential research centres in Information Systems and Information Management.

The centre has a tradition of cutting-edge research subjects, including how ICT drives organisations, information sharing in disasters, ICT in developing countries (ICT4D) and the design and evaluation of mobile information systems.

Course content

Core modules will develop your understanding of research design and introduce you to systems thinking. This will prepare you to study the concepts and perspectives of the design and build of information systems, and you’ll also learn more about entrepreneurship.

You’ll explore approaches and techniques in strategic management, as well as applying your knowledge to real-life scenarios to develop professional skills. At the same time you’ll examine the importance of information management as a core business activity and how it is put to use in different organisations.

You’ll also examine the ways in which businesses use information in analytics and decision science, and broaden your knowledge by studying innovation in the context of operations management and information systems.

By the end of the course, you’ll submit a dissertation on a topic of your choice to focus on a specific question in-depth. You may be able to choose a topic set by one of our industry partners, demonstrating your knowledge and skills in an area of clear interest to organisations.

Course structure

Compulsory modules

You’ll take 11 compulsory modules including your dissertation.

  • Entrepreneurship and Enterprise Creation 15 credits
  • Strategic Management 15 credits
  • Dissertation 30 credits
  • Information Tools for Organisations 15 credits
  • Challenges in Information Management 15 credits
  • Business Analytics and Decision Science 15 credits
  • Designing Information Systems 15 credits
  • Systems Thinking 15 credits
  • Commercial and Professional Skills 15 credits
  • Operations, Information Systems and Innovation 15 credits
  • Research Design and Analysis 15 credits

For more information on typical modules, read Information Systems and Information Management MSc in the course catalogue

Learning and teaching

We use a variety of teaching methods such as lectures, seminars, tutorials, practicals, fieldwork, workshops, group learning or computer classes. You’ll also have chances to enhance your learning through panel discussions, mentoring sessions and workshops with our industry partners and guest speakers.

Independent study is also vital to this course, allowing you to develop your skills and prepare for taught sessions and assessments.

Assessment

Assessment methods emphasise not just knowledge, but essential skills development too.

You’ll be assessed using a range of techniques including exams, group projects, written assignments and essays, in-course assessment, group and individual presentations and reports.

Career opportunities

This Masters prepares you for a range of careers related to information management. Graduates can consider a management position in information systems, information management, senior IT or business analysis roles, or may pursue a dynamic career as a technology innovator or leader.

The emergence of social media, wireless communications, the cloud, big data and mobile technologies are all creating challenges for managers and organisations. Alongside accelerating information flows, complexity and volume, the skills to manage and drive opportunity through this information are now vital for most organisations.

The skills to meet this need are scarce, particularly amongst managers. As a result, many organisations struggle with this area of business and demand for professionals with these skills is strong as a result. This course is designed to meet the expectations of both leading organisations and individuals who wish to pursue a career in information systems and information management.

Links with industry

Students have the opportunity to develop leadership skills as part of our Leaders in Residence initiative, which gives management students the opportunity to engage with senior figures from the world of business. This is a rare opportunity where successful and established business people will help you connect the theory of your course to real world practice, and offer their advice for career success.

Careers support

We help you to achieve your career ambitions by providing professional development support as part of the course. You benefit from our Professional Development Tutor, who will help you to develop the academic skills to successfully progress through the course, and also the professional skills you will need to start a successful career.

Read more about our careers and professional development support.



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University of Leeds School of Geography
Distance from Leeds: 0 miles
This programme focuses on scientific, technical and computational aspects of Geographical Information Systems (GIS) and Geographical Information Science (GIScience), with particular reference to the socioeconomic and environmental sciences. Read more

This programme focuses on scientific, technical and computational aspects of Geographical Information Systems (GIS) and Geographical Information Science (GIScience), with particular reference to the socioeconomic and environmental sciences. It provides highly qualified and motivated students sought by employers in the sector.

Core modules introduce GIS, a rapidly evolving area in business, health and planning settings, as well as in environmental applications. You will be introduced to GIS packages and database systems, useful for those wanting to undertake social and environmental science research and those wanting to understand the application of geotechnology as practitioners. You’ll study theories and concepts underpinning GIS and explore topics including spatial data models, data capture, spatial analysis and statistical and mathematical modelling. Optional modules allow you to focus on quantitative human geography, environmental applications and programming GIS.

Other Study Options

This programme is available part time, allowing you to combine study with other commitments. You can work to fund your studies, or gain a new qualification without giving up an existing job. We aim to be flexible in helping you to put together a part-time course structure that meets your academic goals while recognising the constraints on your study time.

The programme manager is Dr Paul Norman.

You can also study this subject at Postgraduate Diploma level.

Course content

The programme comprises two semesters of taught modules followed by a dissertation project. The first semester includes three core modules. In the second semester, all modules are optional to allow you to specialise in your chosen pathway. We group our modules thematically so that you can include topics within streams relating to Planning and Society, to Environment and to Technical Development. Optional modules include a highly recommended module in Programming for Geographical Information Analysis.

The dissertation is carried out over the summer months and is an opportunity for you to investigate a topic and demonstrate your ability to apply the techniques you have learned during the course and bring in additional methods, whilst placing the work within appropriate literature contexts. Our aim is to submit the best dissertations for journal publication.

If you study this programme part time you will study fewer modules in each year.

Course structure

Compulsory modules

  • Principles of GIS 15 credits
  • Dissertation (GIScience) 60 credits
  • Professional Development 15 credits
  • Using GIS 15 credits
  • Quantitative and Spatial Methods 15 credits

For more information on typical modules, read Geographical Information Systems MSc Full Time in the course catalogue

For more information on typical modules, read Geographical Information Systems MSc Part Time in the course catalogue

Learning and teaching

Teaching will be through workshops, seminars, presentations, practicals and lectures, depending on the modules you choose.

Assessment

Assessment is through coursework with no exams. There is a mix of essays and reports, the latter usually based on analysis of real world datasets. Most modules have an assessment part way through the semester and then a further assessment at the end.

Career opportunities

Typical roles undertaken by our recent graduates are:

  • Assistant Analyst
  • Business Analyst
  • Data Analyst
  • Data Quality and GIS officer
  • GIS Analyst and Surveying Engineer
  • GIS Project Manager
  • Market Analyst
  • PhD study
  • Researcher
  • Technical Consultant.

Some of the organisations our graduates work for are:

  • Analysis LLP
  • Asda
  • Atkins
  • Callcredit
  • Experian
  • Integrated Skills
  • Intelligent Space Partnership
  • JBA Consulting
  • Makedoniki ETM, Greece
  • MapInfo Ltd
  • The Environment Agency.

Careers support

The School of Geography has a very strong commitment to enhancing student employability. Read more about our employability support.

We encourage you to prepare for your career from day one. That’s one of the reasons Leeds graduates are so sought after by employers.

The Careers Centre and staff in your faculty provide a range of help and advice to help you plan your career and make well-informed decisions along the way, even after you graduate. Find out more at the Careers website.



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Healthcare demand is exceeding supply worldwide and there is a need for radical solutions. Innovative IT approaches are transforming healthcare. Read more

Healthcare demand is exceeding supply worldwide and there is a need for radical solutions. Innovative IT approaches are transforming healthcare. Health providers and leading multinationals are investing massively in technology and demand for qualified health informatics professionals is high.

This programme offers a detailed overview of health informatics, including telehealth, mHealth, data analytics, knowledge management and decision support. It takes a strong information systems perspective, building transferable skills in areas like soft systems, process modelling, strategy and system development, and focusing these on health.

The Yorkshire Centre for Health Informatics has a strong national and international reputation and is actively engaged in delivering education, skills, research and development to the NHS and a network of national and international software suppliers. As a student on the Masters programme, you’ll be actively involved with us in listening to, and informing, the informatics agenda for health.

More information

The professional development events run by the Yorkshire Centre for Health Informatics (YCHI) mean we have an established network of employers keen to recruit masters students and support their masters projects.

You’ll benefit from our location too. The Leeds Teaching Hospitals NHS Trust is the largest UK hospital trust and Leeds is the headquarters for many Department of Health organisations, such as NHS Digital and NHS England. We also have close relationships with leading health software suppliers based in Leeds, in particular The Phoenix Partnership, providers of SystmOne and ResearchOne. YCHI is part of the Leeds Institute of Data Analytics, bringing opportunities to be involved in exciting developments in “big data”.

You can also study this subject at MSc, Postgraduate Diploma and Certificate levels.

Course content

PgCert

You’ll study modules totalling 60 credits. These are made up of two core (compulsory) taught modules and two optional modules from a range offered in Health Informatics or Health Sciences. This gives you the opportunity to tailor your study to areas of interest ranging from specific skills, such as data analytics and visualisation, to applications such as clinical decision support, or particular domains, such as international health.

Compulsory modules:

  • Informatics in Health Care 15 credits
  • Process Modelling, Benefits and Change 15 credits 

PgDip

You’ll study modules totalling 120 credits. These are made up of four core (compulsory) taught modules and four optional modules from a range offered in Health Informatics or Health Sciences. 

Compulsory modules:

  • PgCert modules

plus

  • Systems Thinking in Health Care 15 credits
  • Mobile Health 15 credits 

MSc

You’ll study modules totalling 180 credits. These are made up of four core (compulsory) taught modules and a research project, plus four optional modules from a range offered in Health Informatics or Health Sciences.

Compulsory modules:

  • PgDip modules

plus

  • MSc Health Information Project 60 credits

Learning and teaching

Teaching is through lectures, practical classes, tutorials, seminars and supervised research projects. We make extensive use of IT and a wide range of materials is available to enable you to study at your own pace and in your own time, to enhance and extend the material taught formally.

You’ll be able to use University facilities for independent study, such as computing facilities and the Health Sciences library, with its extensive collection of online journals.

Assessment

The modules are assessed by a variety of methods including essays, reports, portfolios, websites, posters and presentations. Your results for every module contribute to your final degree classification.

Career opportunities

Our alumni have successfully secured health informatics roles in healthcare organisations and industry. Students sponsored by their employers to study with us have reported achieving promotion after completing the course.

Careers support

We encourage you to prepare for your career from day one. That’s one of the reasons Leeds graduates are so sought after by employers.

The Careers Centre and staff in your faculty provide a range of help and advice to help you plan your career and make well-informed decisions along the way, even after you graduate. Find out more at the Careers website.



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