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Masters Degrees (Cloud)

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The computing industry's next decade will be dominated by advances in cloud computing. That's because today's businesses increasingly prefer cloud computing platforms for powerful, flexible IT infrastructures. Read more

The computing industry's next decade will be dominated by advances in cloud computing. That's because today's businesses increasingly prefer cloud computing platforms for powerful, flexible IT infrastructures. With GCU's MSc Cloud Computing, available full-time or part-time, you can develop the knowledge and skills to lead the way in this cutting-edge field.

Our career-focused curriculum emphasises relevant, practical skills for the real world.

  • Investigate related cloud-computing topics such as cloud security and cloud software engineering
  • Explore how cloud computing supports other new technologies such as big data and the internet of things
  • Gain essential skills in software development for cloud-computing technologies
  • Study project management and research methods

When you study at GCU, you'll join a welcoming community of smart, entrepreneurial professionals who care about making real change - both in their own lives and careers, and in their workplaces and industries.

As a cloud computing expert, you'll possess the skills to connect colleagues and collaborations across the globe. And as a GCU graduate, you'll bring a socially driven perspective to your work, enabling connections that support the common good.

What you will study

The MSc Cloud Computing programme equips you with the skills necessary to fully understand cloud computing and associated technologies such as Big Data and IoT. You will also learn about cloud security, cloud software engineering, project management and research methods. In addition to gaining an understanding of the fundamental principles underpinning these areas, you will gain essential skills in developing software applications using these technologies. The MSc study culminates with a three month individual dissertation project and is underpinned by the wide range of interesting research and knowledge transfer work carried out by the School of Engineering and Built Environment.

Full-time students complete six taught modules; three in trimester A and three in trimester B and an MSc dissertation in trimester C. Part-time students complete six taught modules; three in Year 1, three in Year 2 and an MSc dissertation in Year 3.

Cloud Computing and Web Services

This module provides analytical and practical coverage of cloud computing and web services. It focuses on the technology, frameworks and associated standards: cloud models, cloud platforms and scalability. It also provides coverage of current web service technology and data transport representations, and integrated cloud and web service application development. Current examples from industry technology are used throughout.

Cloud Virtualisation Security

This module provides a systematic study of the techniques and practices of protecting systems level security in cloud computing, i.e. virtualisation, which, in the event of being compromised, would cause catastrophic consequences for cloud infrastructures and service customers.

The module covers major techniques of cloud virtualisation security, including big data analytics for cyber security, which is important for virtualised environments of cloud computing.

Big Data Landscape

This module covers the process of managing Big Data throughout its lifecycle, from requirements through retirement. The lifecycle crosses different application systems, databases and storage media. Students will gain an understanding of the full Big Data value chain. They will be able to analyse the challenges and opportunities associated with the different stages that Big Data passes through.

Cloud Software Engineering

This module is concerned with the approach taken to software engineering when developing modern cloud hosted software systems. The module covers the cloud computing design patterns that govern the architecture of typical cloud platforms. In addition, software engineering techniques and the approach taken to developing software including Application Lifecycle Management (ALM)and the use of Development Operations (DevOps) services is covered.

Internet of Things

This module provides fundamental and practical coverage of the set of converging technologies known as the Internet of Things (IoT). It focuses on representative IoT applications, technologies, frameworks and associated standards that support and underpin IoT applications, such as sensor networks, messaging protocols, security, data storage, analytics, services and human interaction. The module provides indepth practical coverage of representative IoT implementation frameworks including cloud-based service delivery models.

IT Professional Issues and Project Methods

This module seeks to develop understanding and practical skills in advanced project methods which are inline with industry regulations, standards and practices and are applicable to complex IT projects. Study is undertaken in an integrated fashion to ensure that the professional frameworks within which such projects are developed, deployed and managed are fully understood.

Masters Dissertation

Students will investigate a topical or emerging theme in Cloud Computing or related technologies. The dissertation acts as a vehicle for extending the knowledge and understanding of the student and the technical community in some specialist technical area. It serves through its length, complexity and rigour as a suitable vehicle for extending students' range of personal, interpersonal and communication skills. In addition it serves to develop and extend a range of high-level thinking skills, including analysing and synthesising skills and affords the opportunity for the student to demonstrate initiative and creativity in a major piece of technical work.

Placements

Students will be made aware of placement opportunities provided by our industry partners. Typically a placement would be undertaken after graduating from the MSc programme but opportunities can sometimes be made available for students to undertake their MSc Dissertation in partnership with a commercial company.

Assessment methods

Assessment is used to demonstrate achievement of learning outcomes. The methods of assessment include class tests, coursework assignments, practical tests and technical reports. Practical implementation and evaluation form a significant part of the assessment for the taught modules and for the work of the MSc dissertation.

Graduate prospects

Cloud computing is a fast-expanding field, and expert professionals are in high demand. That need will only continue to grow. As a graduate of GCU's MSc Cloud Computing programme, you'll be ideally positioned to find a rewarding role.

The job options in this industry include cloud software architect, cloud software engineer, cloud services developer, cloud sales consultant, cloud engineer, cloud management or cloud security professional. You will also be prepared to pursue a career in research.



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Cloud computing is a technical and social reality today, it represents a dramatic shift in the design of systems capable of providing vast amounts of computing services and storage space. Read more
Cloud computing is a technical and social reality today, it represents a dramatic shift in the design of systems capable of providing vast amounts of computing services and storage space. It is also a business reality today as an increasing number of organisations are adopting this paradigm since it increases efficiency, helps improve cash flow and offers many more services and benefits. The rapid shift in IT towards cloud computing is creating a worldwide skills gap. Our MSc course in Cloud technologies and its applications will be taught with respect to their design, architecture and implementation, as well as the use of tools which are used to model the behaviour of cloud based systems.

The MSc in Computer Networks with Cloud Technologies aims to produce postgraduates with an advanced understanding of Cloud based systems and their planning, implementation and maintenance. The course aims to prepare a student with specialist knowledge and skillset in key areas such as cloud architecture, modelling tools, virtualisation, distributed systems, cloud services and management. Students will be able to develop technical solutions and strategies for cloud systems’ management and operations. They will also be able to develop the ability to critically evaluate and analyse the associated architectures, management protocols and associated policies for cloud based systems. The course aims to provide experience in the design and implementation of distributed systems and to build applications in the cloud using platforms and toolkits such as Google App Engine, VMware Cloud Foundry, Microsoft Windows Azure, CloudSim, CloudBees, GigaSpaces.

Course structure

Each MSc course consists of three learning modules (40 credits each) plus an individual project (60 credits). Each learning module consists of a short course of lectures and initial hands-on experience. This is followed by a period of independent study supported by a series of tutorials. During this time you complete an Independent Learning Package (ILP). The ILP is matched to the learning outcomes of the module. It can be either a large project or a series of small tasks depending on the needs of each module. Credits for each module are awarded following the submission of a completed ILP and its successful defence in a viva voce examination. This form of assessment develops your communication and personal skills and is highly relevant to the workplace. Overall, each learning module comprises approximately 400 hours of study.

The project counts for one third of the course and involves undertaking a substantial research or product development project. For part-time students, this can be linked to their employment. It is undertaken in two phases. In the first part, the project subject area is researched and a workplan developed. The second part involves the main research and development activity. In all, the project requires approximately 600 hours of work.

Further flexibility is provided within the structure of the courses in that you can study related topic areas by taking modules from other courses as options (pre-requisite knowledge and skills permitting).

Prior to starting your course, you are sent a Course Information and Preparation Pack which provides information to give you a flying start.

MSc Computer Networks Suite of Courses

The MSc in Computer Networks has three distinct pathways:
-Security
-Communications
-Cloud Technologies

The course structure is quite flexible, affording industry-based students an opportunity to attend and accumulate module credits over an extended period of time. It also simultaneously serves the full-time student cohort which generally progresses through the MSc pathway in a single calendar year.

The MSc programmes are short course based and feature assessment through sequentially submitted result portfolios for the work packages, ie the ILPs. These are assigned immediately upon each short course module where the students are able to concentrate their study efforts just on the most recently-taught subject material. This greatly promotes efficient focused learning. The individual oral examination administered for each ILP furnishes valuable experience in oral defence, and frees students from written examination burdens.

The technical tasks undertaken in ILPs, along with the required major project, thoroughly exercise the concepts covered in the course modules and give scope for originality and industry-relevant study. Team-working activities encouraged within modules, along with the all-oral individual examination regimen employed in this Networks MSc Suite, have proven solidly beneficial in refining the communication and employability-enhancing skills that are strongly valued by industry.

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Cloud-based systems are the latest development in large-scale computing, and it is predicted that billions of Euros will be spent by European businesses on cloud computing in the coming years. Read more
Cloud-based systems are the latest development in large-scale computing, and it is predicted that billions of Euros will be spent by European businesses on cloud computing in the coming years. But despite this, there are still surprisingly few graduate-level courses in this area.

Our course targets a known need in industry, providing an opportunity for you to study this exciting underlying technology. You gain hands-on experience with various types of cloud models and modern computing systems that use or support cloud computing. You will master areas including:

- Application development for cloud systems
- Cloud management technologies
- System architectures
- High-performance computing
- Social networking application development
- Computer and Network Security

We equip you with the knowledge and understanding to contribute fully to this quickly changing and developing area so that you can enter a range of employment roles related to cloud systems, including developing cloud based applications, managing cloud systems and designing cloud infrastructures.

Our School is a community of scholars leading the way in technological research and development. Today’s computer scientists are creative people who are focused and committed, yet restless and experimental. We are home to many of the world’s top scientists, and our work is driven by creativity and imagination as well as technical excellence.

We are ranked Top 10 in the UK in the 2015 Academic Ranking of World Universities, with more than two-thirds of our research rated ‘world-leading’ or ‘internationally excellent (REF 2014).

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Cloud computing is revolutionising the way that large, and often complex, datasets are stored and analysed. Our Cloud Computing MSc aims to produce experts with practical experience who can work with companies from around the world to realise the business benefits of this exciting technology. Read more
Cloud computing is revolutionising the way that large, and often complex, datasets are stored and analysed. Our Cloud Computing MSc aims to produce experts with practical experience who can work with companies from around the world to realise the business benefits of this exciting technology.

Our course focuses on both theory and practice so that you can understand and implement cloud computing applications. You will cover key subjects such as advanced object-oriented programming, data mining and big data analytics.

Through this course you will develop both your technical and professional skills to underpin personal development and future career success. Our comprehensive research training provides a basis for PhD study.

This is a demanding and rewarding course. We have close links to research by the Scalable Systems Group and the Digital Institute in the School of Computing Science. Our Cloud Computing research also has links with companies such as Red Hat and Hewlett-Packard. They often employ our graduates and also offer summer project internships to students.

Our graduates have an excellent record of finding employment. Recent examples include Software Engineer for IBM UK and Software Developer for Red Hat.

All academic staff involved in teaching cloud computing modules have international reputations for their contributions to the field and some have extensive experience as practitioners in industry.

As a student on this course, you will be encouraged to play a full part in the life of the School, participating in seminars delivered by distinguished external speakers. Our experienced and helpful staff are happy to offer support with all aspects of your course from admissions to graduation and developing your career. The course is part of a suite of related courses, which creates a tight-knit cohort.

Delivery

Our Cloud Computing MSc can be completed full time or part time. The course typically starts in mid-September and is delivered on our Newcastle campus.

Full time students are taught in three blocks. Each block is timetabled to accommodate all formal lectures and practical sessions for the modules covered in that block. This arrangement is to provide the foundational knowledge necessary to study the modules covered in later blocks. For example, Advanced OO Programming, covered in the first block, provides the essential background for Enterprise Middleware in the second block which, in turn, supports understanding of the concepts and tools for Cloud Computing and System Design in the third block.

Modules worth 60 credits are taught in the first three months and are assessed through written examinations conducted in mid-January. The remaining 120 credits worth of study are assessed by coursework and project work. Of these 120 credits, the individual project is worth 90 credits and is carried out in the last five months.

Part time students have the flexibility to study over two years. The only constraint is that you must be examined for modules worth at least 30 credits in the January of your first year. The part time version of the course is designed to encourage participation of employees from local IT companies. As a part time student you can carry out your individual project in your place of work, as long as the supervisory processes in place meet University standards.

Project work

You will need to demonstrate your understanding and competence in cloud computing during the taught part of the course before you can proceed with your individual project. There are no formal lectures during this period. Your five month individual project gives you an opportunity to develop and deepen your knowledge and skills, and to work in a research or development team. For your project you will build a challenging and comprehensive cloud computing application, from design to prototype development, testing and demonstration. You can develop your project either at the University under an academic supervisor or by securing an industrial placement through an open competition. You will have one-to-one supervision from an experienced member of staff, supported with supervision from industry partners as required.

The project can be carried out in:
-One of our research groups at Newcastle
-An industry laboratory
-Your place of work

Accreditation

We have a policy of seeking British Computer Society (BCS) accreditation for all of our degrees, so you can be assured that you will graduate with a degree that meets the standards set out by the IT industry. Studying a BCS-accredited degree provides the foundation for professional membership of the BCS on graduation and is the first step to becoming a chartered IT professional.

The School of Computing Science at Newcastle University is an accredited and recognised Partner in the Network of Teaching Excellence in Computer Science.

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Cloud computing is revolutionising the way that large, and often complex, datasets are stored and analysed. Our course aims to produce experts in cloud computing and big data required by academia and industry. Read more

Cloud computing is revolutionising the way that large, and often complex, datasets are stored and analysed. Our course aims to produce experts in cloud computing and big data required by academia and industry.

The MRes can only be applied for as part of the four-year (MRes plus PhD) EPSRC Centre for Doctoral Training in Cloud Computing for Big Data. The programme is suitable for students from both computing and mathematical backgrounds. It is very skills-focussed and also offers a high degree of research training.

Our course focuses on both theory and practice so that you can understand and implement cloud computing applications. You will cover key subjects such as advanced object-oriented programming, data mining and big data analytics.

All academic staff involved in teaching cloud computing modules have international reputations for their contributions to the field and some have extensive experience as practitioners in industry.

Delivery

During the MRes you will undertake advanced Masters’ level training in cloud computing and data analytics. The training will begin with a module in either computing science for mathematicians (for those with a statistics background) or statistics for computing scientists (for those from a computer science background).

All students will then be taught topics including statistics for big data, programming for big data, cloud computing, machine learning, big data analytics and time series analysis. The taught component will finish with a substantial group project, where you will have the opportunity to work with students from different backgrounds on a practical industry-focused data analysis problem.

Following this in years 2-4, you will carry out PhD research, guided by PhD supervisors from within the EPSRC Centre for Doctoral Training in Cloud Computing for Big Data, and typically additional advisors from industry.

Facilities

You will have access to free cloud computing resources to manage your research, a purpose-built Decision Theatre and 3D visualisation facility and a 3D printing learning lab.

You will be based in The Core building, where you will have the opportunity to work alongside experts in key areas of computing science, as well as access to industrial partners. You will also receive funding to attend selected conferences in emerging areas of your research discipline. We also offer funding for equipment and software to support your research.



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This. MSc Cloud and Enterprise Computing. course combines the managerial and computing aspects of service-oriented computing systems for medium and large scale corporations. Read more

This MSc Cloud and Enterprise Computing course combines the managerial and computing aspects of service-oriented computing systems for medium and large scale corporations.

You will learn how to optimise the information flow between business processes and how to critically analyse the impact of deploying information systems within the Enterprise and in public computing clouds to support organisational and business processes.

On the computing front, you will learn the principles and techniques necessary for designing, developing, and evaluating Enterprise Information System (EIS) that are distributed, interoperable, intelligent, and adaptive to change. In addition, the major project element of the course will allow you an opportunity to develop greater subject specialism in one specific Cloud or Enterprise computing topic of your choice.

Overall the programme will equip you to be an independent learner who can critically analyse the business requirements to engineer a comprehensive IT solution that strikes a balance between the financial constraints and the demand for a scalable yet integrative IT infrastructure.

Why study this course?

  • You are taught by highly experienced staff members, many of whom are actively involved in cutting-edge research and publish regularly in this discipline
  • There's the opportunity for a year-long work placement
  • The School has strong links with local industry representatives such as Siemens, Experian and Excel. Such links benefit our graduates by ensuring the up-to-date relevance of our courses and opening up possibilities for work placements
  • You will have access to the state-of-the-art facilities

Modules

  • Advanced software engineering
  • Entrepreneurial leadership and project management
  • Enterprise and cloud systems management
  • Service-oriented cloud technologies
  • Network and cloud security
  • Research methods
  • Major project

COME VISIT US ON OUR NEXT OPEN DAY!

Visit us on campus throughout the year, find and register for our next open event on http://www.ntu.ac.uk/pgevents.



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This degree equips you with advanced knowledge and skills for a range of careers from data analyst to computer scientist or IT consultant. Read more
This degree equips you with advanced knowledge and skills for a range of careers from data analyst to computer scientist or IT consultant.

Cloud Computing and Big Data remain hot topics in the media and there is strong demand for graduates with technical skills in this area. Kent’s Advanced Computer Science (Cloud Computing & Big Data) MSc equips you with the advanced knowledge and skills for a wide range of careers from data analysts to computer scientists and IT consultants.

The programme combines a wide choice of advanced topics in computer science with specialist modules relating to cloud computing and big data. These include Google App Engine, Apache Spark, Software-as-a-Service, Data Centers Galaxy, Mobile Cloud, Hadoop, Bitcoin and MapReduce.

This programme is available with an optional industrial placement which provides an opportunity to work in real-world, technical and business roles, enhancing your study experience and having a dramatic impact on your choices after graduation. We have strong links with industry including Cisco, IBM, Microsoft and Oracle and are among the top ten in the UK for graduate employment prospects.

The Advanced Computer Science (Cloud Computing & Big Data) MSc is aimed at graduates considering a career in research and development. It would also provide an excellent foundation for PhD study.

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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.



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This specialist programme in cloud and data technologies focuses on 2 important technologies in the IT industry and their relationship to current and emerging IT industry practice. Read more
This specialist programme in cloud and data technologies focuses on 2 important technologies in the IT industry and their relationship to current and emerging IT industry practice.

You will gain specialist knowledge and technical skills that you can use in the analysis of problems arising in the use of cloud and data technologies, in evaluation and application of their use, and in research into, and development of, new technologies.

Why study this course at Birkbeck?

Designed for part-time students wishing to advance their knowledge of cloud and data technologies.
You may be working in the IT sector already and wish to update your skills, or may intend to pursue a career in IT.
Significant coverage of emerging technologies and research developments in areas of growing importance in the IT industry.
Successful students may proceed to the final year of the part-time MSc Advanced Computing Technologies programme.
You will have 24-hour access to several laboratories of networked PCs with a range of language compilers, database and other application software. We are connected, via the SuperJANET network, to the computers of other academic institutions in London, elsewhere in the UK and abroad.

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MSc Cloud Computing provides specialist study of Cloud Computing. This is a growing area to addressing the issues of collaborative working with data stored centrally either in house or externally. Read more
MSc Cloud Computing provides specialist study of Cloud Computing. This is a growing area to addressing the issues of collaborative working with data stored centrally either in house or externally. The award is built around a core of networking at CCNP level, the networking topics utilise Cisco networking equipment and support material provided by Cisco Systems Inc.

Virtualisation, server side technologies and mobile/wireless technologies are investigated in the context of supported mobile workers in an enterprise environment.

Course content

In your first study stage, the PgCert, you will study five modules –this includes a 2 week preliminary study course, followed by four core modules, the completion of these modules makes you eligible for a PgCert. In the second stage the, PgDip you will study a further four modules. Once you have completed these 9 modules you can start the dissertation stage in order to qualify for a MSc.

On finishing the PgCert or PgDip stage you have the opportunity to undertake a work placement of up to 12 months. The placement has to be started and completed before you start your dissertation. You will finish your award by completing a dissertation on a network related topic.

Core modules
-Networking Concepts (Two weeks pre-enrolment)
-Research Methods
-Professional Switched Networks
-Network Security
-Mobile Computing and Wireless
-Virtualisation
-Server Side Technology
-Professional Routed Networks
-Maintaining a Converged IP Based Network
-Dissertation

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Computer networks underpin almost every aspect of modern business. Their competent management is crucial to a company's success and experts who can fulfil this role are highly sought-after. Read more
Computer networks underpin almost every aspect of modern business. Their competent management is crucial to a company's success and experts who can fulfil this role are highly sought-after. Network management is a rapidly-evolving specialism for which you need leadership, problem-solving and organisational skills as well as the technical ability.


Why study MSc Network Management and Cloud Computing

We make the most of our strong links with companies in the IT sector to ensure that we offer a highly relevant course with a marked emphasis on professional and applied skills. Practical work is an important part of every module, and unless you're already in employment, we'll encourage (and help) you to find a placement for up to 12 weeks, during which you'll work on your independent research project.

Our award-winning technology centre has five specialist laboratories equipped with the latest industry-standard hardware and software, including OPNET, Wireshark, MATLAB, Simulink, OpNet Modeller 17.0, OMNeT++ , NI and Cisco technology such as Packet Tracer. While studying for this qualification you will work with our LTE test bed and Blade Server, and you will learn how to access and configure cloud-based networks. As part of your studies, you'll also have the opportunity to work towards a Cisco CCNA professional certification, worth £1,600 and considered the gold standard in the industry.

Course highlights

Spend a minimum of 78 hours gaining practical experience in our industry-standard networking labs
We encourage students to explore new concepts and developments and were delighted when three of our students were crowned winners at the Young Professional Engineering Challenge
Middlesex University is an official Cisco Academy licensed to provide CNNA certification training and equipped with the latest industry-standard equipment
Our strong research profile ensures our courses remain innovative. We have developed our own WSN, Senso LAB, and have also undertaken notable research in areas such as MIMO, LTE and LTE Advanced
Course Leader Aboubaker Lasebae is a former design engineer at the Research and Development Centre in Tripoli
The course is suitable for both recent graduates and IT professionals who wish to further their knowledge.

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Embark on a career in a leading-edge field and master the exciting and challenging world of big data!. Big data techniques are revolutionising how organisations and industries acquire and analyse data, offering valuable insights into how people live, work, play, travel, shop and exercise. Read more

Embark on a career in a leading-edge field and master the exciting and challenging world of big data!

Big data techniques are revolutionising how organisations and industries acquire and analyse data, offering valuable insights into how people live, work, play, travel, shop and exercise. These insights are valuable to marketers, researchers, designers, city planners, app developers, educators and many more.

GCU's MSc in Big Data Technologies helps students build the fundamental knowledge and practical skills for success in this fast-growing field. You'll develop competence in a range of emerging technologies: big data, cloud computing and the internet of things. You'll learn from the experts; GCU is internationally recognised for the strength of its research in these exciting subjects, driving 21st century innovation.

With both full-time and part-time study available, the programme is ideal for someone with a background in computer science, software engineering, web technologies or computer engineering who wants to enhance or update their skills. Those with backgrounds in mathematics and electronics are also well suited.

The up-to-date curriculum keeps a career-focused approach, so you'll gain valuable skills you can immediately put to work in the industry.

  • Apply leading-edge tools and technologies from companies such as IBM, Microsoft and SAS
  • Explore industry-standard open-source development platforms such as Hadoop
  • Achieve industry recognition with SAS joint certification in the programme's Data Analytics module

Your expertise in big data will enable you to provide new insights into human behaviour and psychology, which can help us build stronger and happier societies across the globe. Your work could shape smart, sustainable cities; remove barriers to education; help people make healthier choices day-to-day; improve public health… and so much more. All meaningful ways of contributing to the common good.

What you will study

Full-time students complete six taught modules; three in trimester A and three in trimester B and an MSc dissertation project in trimester C. Part-time students complete six taught modules; three in Year 1, three in Year 2and an MSc project in Year 3.

Cloud Computing and Web Services

This module provides analytical and practical coverage of cloud computing and web services. It focuses on the technology, frameworks and associated standards: cloud models, cloud platforms and scalability. It also provides coverage of current web service technology and data transport representations, and integrated cloud and web service application development. Current examples from industry technology are used throughout.

Big Data Landscape

This module covers the process of managing Big Data throughout its lifecycle, from requirements through retirement. The lifecycle crosses different application systems, databases and storage media. Students will gain an understanding of the full Big Data value chain. They will be able to analyse the challenges and opportunities associated with the different stages that Big Data passes through.

Data Analytics

This module covers the basic concepts of statistics needed to understand the critical concepts of data mining, machine learning and predictive analytics used in the visualisation and analysis of data, particularly Big data. Students will gain an understanding of data preparation, the process models used in analytics, the algorithms and their requirements, the implementation of these algorithms using current technologies, and their applicability to different types of scenario. They will also gain advanced practical skills in the design, implementation and evaluation of analytical solutions to problems involving Big Data.

Big Data Platforms

This module covers the platforms that support data storage, processing and analytics in Big Data scenarios. It focuses on highly scalable platforms that provide operational capabilities for real-time, interactive processing and on platforms that provide analytical capabilities for retrospective, complex analysis. Students will gain an advanced understanding of the principles on which these platforms are based, and their strengths, weaknesses and applicability to different types of scenario. They will also gain advanced practical skills in the design and implementation of scalable Big Data platform solutions.

Internet of Things

This module provides fundamental and practical coverage of the set of converging technologies known as the Internet of Things (IoT). It focuses on representative IoT applications, technologies, frameworks and associated standards that support and underpin IoT applications, such as sensor networks, messaging protocols, security, data storage, analytics, services and human interaction. The module provides in-depth practical coverage of representative IoT implementation frameworks including cloud-based service delivery models.

IT Professional Issues and Project Methods

This module seeks to develop understanding and practical skills in advanced project methods which are inline with industry regulations, standards and practices and are applicable to complex IT projects. Study is undertaken in an integrated fashion to ensure that the professional frameworks within which such projects are developed, deployed and managed are fully understood.

Masters Dissertation

Students will investigate a topical or emerging theme in Cloud Computing or related technologies. The dissertation acts as a vehicle for extending the knowledge and understanding of the student and the technical community in some specialist technical area. It serves through its length, complexity and rigour as a suitable vehicle for extending students' range of personal, interpersonal and communication skills. In addition it serves to develop and extend a range of high-level thinking skills, including analysing and synthesising skills and affords the opportunity for the student to demonstrate initiative and creativity in a major piece of technical work.

Work placements

Students will be made aware of placement opportunities provided by our industry partners. Typically a placement would be undertaken after graduating from the MSc programme but opportunities can sometimes be made available for students to undertake their MSc Dissertation in partnership with a commercial company.

Assessment methods

The methods of assessment include class tests, coursework assignments, practical tests and technical reports. Practical implementation and evaluation form a significant part of the assessment for the taught modules and for the work of the MSc dissertation.

Graduate prospects

When you graduate, you'll be a competitive candidate for roles as a systems developer, architect or administrator in data and analytics. You'll find opportunities in a diverse range of industries: engineering, pharmaceuticals, finance, healthcare, retail, security, smart environments and more.



Read less
Embark on a career in a leading-edge field and master the exciting and challenging world of big data!. Big data techniques are revolutionising how organisations and industries acquire and analyse data, offering valuable insights into how people live, work, play, travel, shop and exercise. Read more

Embark on a career in a leading-edge field and master the exciting and challenging world of big data!

Big data techniques are revolutionising how organisations and industries acquire and analyse data, offering valuable insights into how people live, work, play, travel, shop and exercise. These insights are valuable to marketers, researchers, designers, city planners, app developers, educators and many more.

GCU's MSc in Big Data Technologies helps students build the fundamental knowledge and practical skills for success in this fast-growing field. You'll develop competence in a range of emerging technologies: big data, cloud computing and the internet of things. You'll learn from the experts; GCU is internationally recognised for the strength of its research in these exciting subjects, driving 21st century innovation.

With both full-time and part-time study available, the programme is ideal for someone with a background in computer science, software engineering, web technologies or computer engineering who wants to enhance or update their skills. Those with backgrounds in mathematics and electronics are also well suited.

The up-to-date curriculum keeps a career-focused approach, so you'll gain valuable skills you can immediately put to work in the industry.

  • Apply leading-edge tools and technologies from companies such as IBM, Microsoft and SAS
  • Explore industry-standard open-source development platforms such as Hadoop
  • Achieve industry recognition with SAS joint certification in the programme's Data Analytics module

Your expertise in big data will enable you to provide new insights into human behaviour and psychology, which can help us build stronger and happier societies across the globe. Your work could shape smart, sustainable cities; remove barriers to education; help people make healthier choices day-to-day; improve public health… and so much more. All meaningful ways of contributing to the common good.

What you will study

Full-time students complete six taught modules; three in trimester A and three in trimester B and an MSc dissertation project in trimester C. Part-time students complete six taught modules; three in Year 1, three in Year 2and an MSc project in Year 3.

Cloud Computing and Web Services

This module provides analytical and practical coverage of cloud computing and web services. It focuses on the technology, frameworks and associated standards: cloud models, cloud platforms and scalability. It also provides coverage of current web service technology and data transport representations, and integrated cloud and web service application development. Current examples from industry technology are used throughout.

Big Data Landscape

This module covers the process of managing Big Data throughout its lifecycle, from requirements through retirement. The lifecycle crosses different application systems, databases and storage media. Students will gain an understanding of the full Big Data value chain. They will be able to analyse the challenges and opportunities associated with the different stages that Big Data passes through.

Data Analytics

This module covers the basic concepts of statistics needed to understand the critical concepts of data mining, machine learning and predictive analytics used in the visualisation and analysis of data, particularly Big data. Students will gain an understanding of data preparation, the process models used in analytics, the algorithms and their requirements, the implementation of these algorithms using current technologies, and their applicability to different types of scenario. They will also gain advanced practical skills in the design, implementation and evaluation of analytical solutions to problems involving Big Data.

Big Data Platforms

This module covers the platforms that support data storage, processing and analytics in Big Data scenarios. It focuses on highly scalable platforms that provide operational capabilities for real-time, interactive processing and on platforms that provide analytical capabilities for retrospective, complex analysis. Students will gain an advanced understanding of the principles on which these platforms are based, and their strengths, weaknesses and applicability to different types of scenario. They will also gain advanced practical skills in the design and implementation of scalable Big Data platform solutions.

Internet of Things

This module provides fundamental and practical coverage of the set of converging technologies known as the Internet of Things (IoT). It focuses on representative IoT applications, technologies, frameworks and associated standards that support and underpin IoT applications, such as sensor networks, messaging protocols, security, data storage, analytics, services and human interaction. The module provides in-depth practical coverage of representative IoT implementation frameworks including cloud-based service delivery models.

IT Professional Issues and Project Methods

This module seeks to develop understanding and practical skills in advanced project methods which are inline with industry regulations, standards and practices and are applicable to complex IT projects. Study is undertaken in an integrated fashion to ensure that the professional frameworks within which such projects are developed, deployed and managed are fully understood.

Masters Dissertation

Students will investigate a topical or emerging theme in Cloud Computing or related technologies. The dissertation acts as a vehicle for extending the knowledge and understanding of the student and the technical community in some specialist technical area. It serves through its length, complexity and rigour as a suitable vehicle for extending students' range of personal, interpersonal and communication skills. In addition it serves to develop and extend a range of high-level thinking skills, including analysing and synthesising skills and affords the opportunity for the student to demonstrate initiative and creativity in a major piece of technical work.

Work placements

Students will be made aware of placement opportunities provided by our industry partners. Typically a placement would be undertaken after graduating from the MSc programme but opportunities can sometimes be made available for students to undertake their MSc Dissertation in partnership with a commercial company.

Assessment methods

The methods of assessment include class tests, coursework assignments, practical tests and technical reports. Practical implementation and evaluation form a significant part of the assessment for the taught modules and for the work of the MSc dissertation.

Graduate prospects

When you graduate, you'll be a competitive candidate for roles as a systems developer, architect or administrator in data and analytics. You'll find opportunities in a diverse range of industries: engineering, pharmaceuticals, finance, healthcare, retail, security, smart environments and more.



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Cloud computing offers scalable computing resources on demand, providing solutions and challenges for science and business. Amongst others, the opportunities include a low cost entry point for small companies, more economical use of computing resources and the capability of handling very large data sets. Read more
Cloud computing offers scalable computing resources on demand, providing solutions and challenges for science and business. Amongst others, the opportunities include a low cost entry point for small companies, more economical use of computing resources and the capability of handling very large data sets. Challenges for practitioners include the design and use of suitable algorithms, the design and implementation of suitable architectures and understanding of risks and opportunities. This MSc will provide a sound understanding of designing, analysing and engineering of systems for handling big data in a distributed environment based on dynamically scalable architectures.

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MSc Internet, Mobile Systems and Applications is a future-oriented Masters course. You’ll develop technical knowledge of advance topics such as wireless mobile networking, open-based networking, cloud computing and next-generation media networking technologies. Read more
MSc Internet, Mobile Systems and Applications is a future-oriented Masters course.

You’ll develop technical knowledge of advance topics such as wireless mobile networking, open-based networking, cloud computing and next-generation media networking technologies. This focus on emerging and near-future technologies will prepare you for a career in the dynamic business and ICT industries.

All taught modules contain both theoretical knowledge and practical skills, and guest lecturers from industry will provide critical insight into the IT and technology sectors. You’ll have the chance to work in in our R&D lab, which is equipped with latest tools and technologies to allow to develop your hands-on skills.

Modules

Research methods and professional issues
Future internet technologies
Statistical analysis and modelling
Systems and cyber threats: vulnerabilities and countermeasures
Wireless and mobile networking
Media (VoIP/Video) technologies
MSc thesis

All modules are assessed by a mix of coursework and examinations.

Teaching and learning

You'll make use of our e-learning suite and learn in a combination of lectures, seminars, workshops and private study.

Our R&D lab equipped with latest tools and technologies, providing you with opportunities to develop hands-on skills and practice latest technologies in the area of wireless-mobile networking, open-based networking, cloud computing and next-generation media networking technologies.

Placements

You are encouraged to actively seek placements, work experience and voluntary work during your studies to improve your CV and to give you the opportunity to put theory into practice. Many opportunities are offered through the University's central Employability team, who can support you in finding a placement.

Professional links

In order to ensure the course runs in accordance with industry recognised standards we are seeking accreditation for both Chartered Engineer (CEng) status as well as Chartered IT Professional (CITP) accreditation by the British Computer Society, the Chartered Institute for Information Technology.

We are also seeking Chartered Engineer (CEng) status with both the Institute of Engineering and Technology and the Engineering Council.

Employability

The course will prepare graduates for variety of roles including:

• Cloud architecture: responsible for developing, designing and implementing scalable, secure and reliable multimedia cloud-based infrastructure and platforms.
• Mobile software engineer: responsible for designing and developing software modules for mobile distributed systems and applications that integrate with cloud service providers.
• Data centre manager: responsible for the implementation and maintenance of enterprise-shared virtualised infrastructure and platforms services.
• Multimedia application developer: responsible for designing and developing software solutions requiring skills in the areas of VoIP and video technologies, systems and applications that integrate with cloud service providers.

LSBU Employability Services

LSBU is committed to supporting you develop your employability and succeed in getting a job after you have graduated. Your qualification will certainly help, but in a competitive market you also need to work on your employability, and on your career search. Our Employability Service will support you in developing your skills, finding a job, interview techniques, work experience or an internship, and will help you assess what you need to do to get the job you want at the end of your course. LSBU offers a comprehensive Employability Service, with a range of initiatives to complement your studies, including:

• Direct engagement from employers who come in to interview and talk to students
• Job Shop and on-campus recruitment agencies to help your job search
• Mentoring and work shadowing schemes.

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