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Masters Degrees (Cloud)

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Study MSc Cloud Computing and gain the skills you need to manage cloud platforms, virtual data centres and related IT systems. Become confident in your use of cloud infrastructures, cloud and web application development, visualisation and cloud security. Read more
Study MSc Cloud Computing and gain the skills you need to manage cloud platforms, virtual data centres and related IT systems.

Become confident in your use of cloud infrastructures, cloud and web application development, visualisation and cloud security. Learn the newest software-engineering technologies used to develop cloud applications and work with Big Data and the Internet of Things (IoT).

Glasgow Caledonian University has an international reputation for research into cloud computing and service-oriented-architectures. As a cloud computing masters student, you will benefit from industry-relevant, research-informed teaching and use products from global industry leaders such as IBM and Microsoft, as well as the most popular open-source frameworks such as Hadoop.

This course has several available start dates and study options - for more information, view the relevant web-page:
SEPTEMBER 2017 (Part Time) - http://www.gcu.ac.uk/ebe/study/courses/details/index.php/P02986-1PTA-1718/Cloud_Computing_(Part-time)?utm_source=ZZZZ&utm_medium=web&utm_campaign=courselisting

JANUARY 2018 (Full Time) - http://www.gcu.ac.uk/ebe/study/courses/details/index.php/P02985-1FTAB-1718/Cloud_Computing?utm_source=ZZZZ&utm_medium=web&utm_campaign=courselisting

JANUARY 2018 (Part Time) - http://www.gcu.ac.uk/ebe/study/courses/details/index.php/P02986-1PTAB-1718/Cloud_Computing_(Part-time)?utm_source=ZZZZ&utm_medium=web&utm_campaign=courselisting

Programme Description

The MSc in Cloud Computing equips students with the fundamental knowledge and practical skills required to become a practitioner in this rapidly expanding area of computing.

Worldwide opinion in the computing industry is that this decade will be dominated by advances in the architectures and technologies that deliver Cloud Computing. Cloud Computing platforms are rapidly becoming the preferred route for the development of powerful and expandable IT infrastructures for today’s businesses.

The MSc Cloud Computing programme equips you with the skills necessary to fully understand the world of cloud computing and associated aspects such as cloud security and cloud software engineering. You will also learn about how cloud computing provides support for the new technologies being used for Big Data systems and the Internet of Things.

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. You will also study project management and research methods.

Assessment

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.

Career Opportunities

The field of Cloud Computing is rapidly expanding and the need for specialists to work with these new technologies is increasing at a great rate in all areas of business and industry.

These specialists will work in roles such as cloud software architect, cloud software engineer, cloud services developer, cloud sales consultancy, cloud engineer, cloud system administrator, cloud management and cloud security. The programme also prepares students for a research-oriented career.

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.

What you will learn

Students complete six taught modules; three in trimester A and three in trimester B and an MSc dissertation in trimester C.

Trimester A:
-Cloud Computing and Web Services
-Cloud Virtualisation Security
-Big Data Landscape

Trimester B:
-Cloud Software Engineering
-Internet of Things
-IT Professional Issues and Project Methods

Trimester C:
-MSc Dissertation

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Cloud computing is transforming the way we live and work. Learn the practical skills you need to become a specialist at the forefront of an evolving technology area, as you design, build and manage cloud based infrastructures and develop solutions to real-life problems. Read more
Cloud computing is transforming the way we live and work. Learn the practical skills you need to become a specialist at the forefront of an evolving technology area, as you design, build and manage cloud based infrastructures and develop solutions to real-life problems.

As more large and complex applications and datasets are being stored and analysed remotely across the internet we can see cloud computing changing the IT landscape.

Because cloud computing is a relatively new computing paradigm, the in-depth knowledge of the technologies, components and processes involved in the design of a cloud based infrastructure that you’ll gain will put you at the forefront of the industry.

You’ll constantly compare your study to real life examples, as you work to understand consequences for both the end-users and IT services, in terms of software and hardware provisioning, network resilience and data security, as well as business applications of cloud computing and big data.

As developers it’s crucial we act ethically, so you’ll consider legal and security aspects of data protection and information security, while ensuring you’re critically aware of current problems and developing new insights on the subject.

There’s plenty of opportunity for practical work, as you use our specialist labs to understand and build cloud computing applications and infrastructures, as well as analysing and developing solutions to practical applications of big data sets within a business environment.

Throughout our course you’ll consider your career options and progression, as you learn to employ visualisation techniques to present large and complex data sets to relevant stakeholders. You’ll gain confidence in communicating complex information to others and build your network of contacts through our series of guest speaker seminars.

See the website http://www.anglia.ac.uk/study/postgraduate/cloud-computing

Careers

Cloud Computing is a relatively new computing paradigm, meaning your knowledge and skills will put you at the forefront of the industry. There are two types of emerging cloud computing careers: IT pros with specific cloud skills and IT admins with cloud architecture know-how.

There’s a real need for personnel who can advise managers on the suitability of each type of cloud service and their potential pitfalls, as well as those who are able to design and implement such systems whether privately or publically managed.

You’re also in the perfect position to continue your academic career and move up to our research degree Computer Science PhD.

Modules & assessment

Computer Networks
Operating Systems and Virtualisation
Secure Systems
Research Methods
Cloud Infrastructure and Services
Data Science and Big Data Analysis
Major Project

Assessment

We’ll asses your knowledge and understanding through a case study in which you’ll design, implement and test the security strategy of an organisation. You’ll also complete in-class tests, written assignments, software projects and presentations.

Your faculty

The Faculty of Science & Technology is one of the largest of five faculties at Anglia Ruskin University. Whether you choose to study with us full- or part-time, on campus or at a distance, there’s an option whatever your level – from a foundation degree, to a BSc, MSc, PhD or professional doctorate.

Whichever course you pick, you’ll gain the theory and practical skills needed to progress with confidence. Join us and you could find yourself learning in the very latest laboratories or on field trips or work placements with well-known and respected companies. You may even have the opportunity to study abroad.

Everything we do in the faculty has a singular purpose: to provide a world-class environment to create, share and advance knowledge in science and technology fields. This is key to all of our futures.

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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).

Professional accreditation

This degree is accredited by the Institution of Engineering and Technology (IET).This accreditation is increasingly sought by employers, and provides the first stage towards eventual professional registration as a Chartered Engineer (CEng).

Our expert staff

Our course is supported by the strong research interest and expertise in cloud and related technologies within our School of Computer Science and Electronic Engineering, ensuring you will learn the most up-to-date information in an engaging manner.

Our research covers a range of topics, from materials science and semiconductor device physics, to the theory of computation and the philosophy of computer science, with most of our research groups based around laboratories offering world-class facilities.

Our impressive external research funding stands at over £4 million and we participate in a number of EU initiatives and undertake projects under contract to many outside bodies, including government and industrial organisations.

In recent years we have attracted many highly active research staff and we are conducting world-leading research in areas such as evolutionary computation, brain-computer interfacing, intelligent inhabited environments and financial forecasting.

Specialist facilities

We are one of the largest and best resourced computer science and electronic engineering schools in the UK. Our work is supported by extensive networked computer facilities and software aids, together with a wide range of test and instrumentation equipment.
-We have six laboratories that are exclusively for computer science and electronic engineering students. Three are open 24/7, and you have free access to the labs except when there is a scheduled practical class in progress
-All computers run either Windows 7 or are dual boot with Linux
-Software includes Java, Prolog, C++, Perl, Mysql, Matlab, DB2, Microsoft Office, Visual Studio, and Project
-Students have access to CAD tools and simulators for chip design (Xilinx) and computer networks (OPNET)
-We also have specialist facilities for research into areas including non-invasive brain-computer interfaces, intelligent environments, robotics, optoelectronics, video, RF and MW, printed circuit milling, and semiconductors

Your future

Our recent graduates have progressed to a variety of senior positions in industry and academia. Some of the companies and organisations where our former graduates are now employed include:
-Electronic Data Systems
-Pfizer Pharmaceuticals
-Bank of Mexico
-Visa International
-Hyperknowledge (Cambridge)
-Hellenic Air Force
-ICSS (Beijing)
-United Microelectronic Corporation (Taiwan)

We also work with the university’s Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Example structure

-MSc Project and Dissertation
-Cloud Technologies and Systems
-Computer Security
-Converged Networks and Services
-Group Project
-High Performance Computing
-Professional Practice and Research Methodology
-E-Commerce Programming (optional)
-IP Networking and Applications (optional)
-Mobile & Social Application Programming (optional)
-Network Security and Cryptographic Principles (optional)
-Advanced Web Technologies (optional)
-Creating and Growing a New Business Venture (optional)
-Information Retrieval (optional)

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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.

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.



Read less
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).

Read less
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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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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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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