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Masters Degrees (Cloud Computing)

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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 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 forms the initial training component for 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 specialist Level 9 MSc in Cloud Computing aims to equip students with the necessary skills to pursue a career in a complex and challenging area. Read more
This specialist Level 9 MSc in Cloud Computing aims to equip students with the necessary skills to pursue a career in a complex and challenging area.

Why Study Cloud Computing at Griffith College?

Designed specifically to address a growing need in the industry, the MSc in Cloud Computing at Griffith College is a 1-2 year programme which aims to equip students with a thorough understanding of the key principles of Cloud Computing. Delivered on a full and part-time basis, as a graduate of this course, you will:

• Obtain specialist knowledge and skills essential for a career in computing or IT.
• Establish an analytical mindset necessary for independent academic and professional research.
• Gain a practical understanding of how to resolve and improve cloud solutions in a variety of situations.
• Develop a team player attitude necessary to communicate problems, ideas and solutions to all levels of the industrial team.
• Build upon your knowledge of supporting topics in the area of Cloud Computing.

Course Highlights

• Finish early with Post-Graduate Diploma
• Small class sizes
• Access to state of the art facilities
• A dedicated experienced lecturing team
• Industry guest speakers

Course Content

The programme contains eight taught modules and a final Dissertation / Dissertation by Practice. Four modules are taught per semester and then you’ll complete a project over a period of twelve weeks. The overall programme is one calendar year long.

Modules covered:

• Algorithm Design and Analysis
• Mobile Technologies
• Concurrent and Parallel Programming
• Cloud Computing
• Cloud Application and Architecture
• Cloud Security and Privacy
• Core Cloud Technologies
• Research Methods

Academic Progression

On completion of the Level 9 MSc in Cloud Computing, students may progress onto a range of Level 10 Doctoral programmes on the National Qualifications Framework. The Postgraduate QQI validation means that your qualification is recognised not only in Ireland and Europe but throughout the world.

Career Progression

Through the MSc in Cloud Computing, you will have gained valuable professional experience, specialised in a key emerging field and developed many technical skills. There is a wide range of career options for our graduates including:

• Senior Software Engineer
• Cloud Solutions Architect
• Information Security Engineer
• Cloud Consultant
• Microsoft Solutions Architect
• Head of Data Science
• Cloud Test Automation Engineer
• Cloud Support
• Cloud and Virtualisation Engineer
• Project Manager Cloud and Data

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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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This specialist Level 9 Postgraduate Diploma in Science in Cloud Computing aims to equip students with the necessary skills to pursue a career in a complex and challenging area. Read more
This specialist Level 9 Postgraduate Diploma in Science in Cloud Computing aims to equip students with the necessary skills to pursue a career in a complex and challenging area.

Why Study Cloud Computing at Griffith College?

Designed specifically to address a growing need in the industry, the Postgraduate Diploma in Science in Cloud Computing at Griffith College is a 1-1.5 year programme which aims to give students an insight into the world of academic and industrial computing research. Delivered on a full and part-time basis, as a graduate of this course, you will:

• Obtain specialist knowledge and skills essential for a career in computing or IT.
• Establish an analytical mindset necessary for independent academic and professional research.
• Gain a practical understanding of how to research and master technical issues, analyse and present your findings coherently, and document your work in a professional manner.
• Develop a team player attitude necessary to communicate problems, ideas and solutions to all levels of the industrial team.
• Build upon your knowledge of supporting topics in the many disciplines of computing.

Course Highlights

• No final dissertation required
• Small class sizes
• Access to state of the art facilities
• A dedicated experienced lecturing team
• Industry guest speakers

Core Modules

• Research Methods
• Mobile Technologies
• Cloud Computing
• Concurrent and Parallel Programming
• Algorithm Design and Analysis
• Cloud Application Architectures
• Cloud Security and Privacy
• Core Cloud Technologies

Academic Progression

Graduates of the Postgraduate Diploma in Science in Cloud Computing course have the option to continue their studies in Griffith College have the option of progressing to the MSc in Cloud Computing

Career Progression

Graduates of the Postgraduate Diploma in Science in Cloud Computing will find opportunities as technical applications developers and consultants, systems analysts, database administrators, network managers and other leading computing science roles in academia, industry research and development roles.

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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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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

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).

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)

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
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.

Read less
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.

Read less
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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The MSc Computing and Information Systems is designed for those wishing to pursue a career in industry related to developing complex information systems, processing of enterprise data and controlling business processes to guarantee usability, security, manageability and quality of information services according to the modern standards of the cyber age. Read more
The MSc Computing and Information Systems is designed for those wishing to pursue a career in industry related to developing complex information systems, processing of enterprise data and controlling business processes to guarantee usability, security, manageability and quality of information services according to the modern standards of the cyber age. The focus of the course is on the three recent movements within IT industry: Cloud Computing, Big Data and Internet of Things. The focus of the course is on the three recent movements within IT industry: cloud computing, big data and the internet of things.

More about this course

The course will be based on development tools and software technologies for data, system and service development, Cloud Computing, Big Data, Internet of Things and Information Security. It will also make use of new technologies for integration of embedded devices such as Arduino and Raspberry. Students will be able to choose options from Mobile application development, cybercrime and security, data and visualisation or work related learning before embarking on the project.

The course provides preparation and training which encourages students seeking positions within the financial, retail and entertainment sectors. It incorporates materials for professional training, which prepare you for professional certification in Oracle SQL, Java Enterprise and Hortonworks Data Platform.

The extensive collaboration between the School of Computing and industries in London resulted in numerous Knowledge Transfer Partnerships and Consultancy Projects. These won a number of national awards and made London Met graduates renowned for their high starting salaries. Due to the high demand for specialists in this area, students on the course can rely on help in finding jobs both in the numerous high-tech startups as well as big financial organisations in the City of London.

A range of assessment methods is employed throughout the course:
-Case study reports and presentations
-Computer laboratory workshops
-Individual and group coursework
-Unseen examinations
-In class tests
-Individual vivas

The method of assessment for each module is clearly described in the individual module guide which is made available to the students at the start of the semester. Every module has dedicated website providing students with comprehensive learning/teaching material including workshop exercises. Module leaders use this site regularly to communicate with their students including guidelines on how prepare for assessment, supporting materials, and general feedback.

Professional accreditation

This course is not currently accredited, however, students who wish to pursue professional certification will be assisted to sit the certification exams in Databases, Java Enterprise and Apache Hadoop by Oracle and Hortonworks.

Modular structure

The course has a September start with three semesters spread over one academic year. Each semester is 60 credits with the final semester dedicated to your dissertation.

Indicative core modules:
-Information Systems Development (20 credits)
-Enterprise Software Components and Systems Development (20 credits)
-Information Security (20 credits)
-Datawarehousing and Big Data (20 credits)
-Cloud Computing and Internet of Things (20 credits)
-MSc Project (60 credits)

Indicative optional modules, choose one from:
-Mobile Applications Design and Development (20 credits)
-Cyber Crime and Security (20 credits)
-Data Analysis and Visualisation (20 credits)

Detailed information about the structure and content of the course is provided in the course handbook which will be made available to the students at the start of the course.

After the course

The employment market has an abundance of posts that require skills in the three key areas of this course - Ccloud computing, big data and internet of things. There are many exciting employment opportunities available, including:
-Enterprise Component Developer and System Integrator
-Data Warehouse and Big Data Manager
-Embedded and Mobile Devices Programmer
-Network Security and Cyber Security Consultant

Additionally, the course provides skills for seeking more traditional, but high demand industry roles:
-Software Engineer
-Internet Programmer
-System Programmer
-Database Administrator
-System Administrator

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The MSc Advanced Computer Science course prepares students to work in roles that require the use of data management, analysis and presentation tools, the development of software to deliver services or to control complex processes and equipment, or to provide system analysis and development consultancy to a varied range of clients. Read more

Overview

The MSc Advanced Computer Science course prepares students to work in roles that require the use of data management, analysis and presentation tools, the development of software to deliver services or to control complex processes and equipment, or to provide system analysis and development consultancy to a varied range of clients. The course does not require background in programming or data analysis and for those with no such background appropriate training is offered to catch up with others who already have such training or experience. The course aims to match the needs of business that compete globally in a world driven by advances in information technology. The programme aims to develop both technical and people skills making our graduates ready for jobs that offer high satisfaction and regular challenge at the same time. The first semester of the course is organised into modules delivered intensively over three week periods. The second semester is organised using usual semester-long modules with the difference that all these modules are assessed by coursework only. The summer semester is dedicated to a Master’s level research or development project

See the website https://www.keele.ac.uk/pgtcourses/advancedcomputersciencemsc/

Course Aims

The aims of the programme are to equip students with knowledge of a range cutting-edge areas of computer science research and applications and to prepare students to be successful in a variety of computer science related jobs. The course covers advanced computer science topics, including user interaction design, big data, cloud computing, security, intelligent systems and mobile-oriented web applications. The course also provides a good grounding in collaborative team work and general skills for technology consultants.

Core Modules:

User Interaction Design (15 credits – Semester 1): The module provides the knowledge and skills required for a student to be able to work on User Interaction Design based on an evaluated assessment of the factors associated with a given application or user interaction scenario.

Distributed Intelligent Systems (15 credits – Semester 1): This module provides the knowledge and skills required for a student to be able to develop applications to control intelligent systems in a distributed and collaborative context, including the programming of robots or intelligent home appliances (e.g. TV, fridge, etc. equipped with embedded computers).

Statistical Techniques for Data Analytics (15 credits – Semester 1): This module provides the knowledge and skills required for a student to be able to develop applications to store, process, distribute, visualise and analyse large volumes of big data using distributed databases, statistical techniques and machine intelligence methods.

Cloud Computing (15 credits – Semester 2): The module provides the knowledge and skills required for a student to be able to understand the principles of operations of cloud computing and to develop applications for cloud computing environments, e.g. data storage and distribution, software-as-service, interactive content services.

Web Technologies and Security (15 credits – Semester 2): To module provided an understanding of contemporary web technologies used for both server and client side development of web applications, with particular focus on mobile applications, and an understanding of security aspects of such applications and of the defence methods and techniques employed to provide security.

Collaborative Application Development (15 credits – Semester 2): The module places students in a real world scenario requiring co-operation and communication as well as analysis and design skills. This will involve work for a real world client working as a development team.

Problem Solving Skills for Consultants (15 credits – Semester 1 & 2): This module explores skills such as project management, communication and team working and building. It also provides knowledge of ethical, legal and social issues related to the development and deployment of Information Technology.

Optional Modules:

System Design & Programming (15 credits – Semester 1): This module provides the knowledge and skills required for a student to be able to design software systems and write object oriented programs in an appropriate programming language (e.g. Java, C#).

Research Horizons (15 credits – Semester 1): To module provides the knowledge for a student about a selected computer science research area and the skills required for the development of a mini-project in this area

Project or Industrial Placement

MSc Project or Industrial Placement (60 credits – Semester 3): Provides an integration of concepts taught on the course in either an academic or business environment

Teaching & Assessment

All first semester 15 – credit taught modules, with the exception of one module delivered over two semesters, will be delivered in block mode, i.e. each of these modules will be delivered over a period of six consecutive weeks. In any week at most two block mode modules will be scheduled to be delivered during the first semester. All taught modules in the second semester are delivered along the whole semester.

The taught modules are mainly assessed by coursework, with examinations in some of the modules. Project assessment is based largely on a substantial final report.

Additional Costs

Additional costs may be incurred for text books, inter-library loans and potential overdue library fines. Some travel costs may be incurred if an external project or placement is undertaken; any such costs will be discussed with the student before the project is confirmed. It will be possible for the student to select an internal project and that would not incur any additional travel costs.

Find information on Scholarships here - http://www.keele.ac.uk/studentfunding/bursariesscholarships/

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