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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 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 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

Course overview

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.

Modules

For detailed module information see http://www.ncl.ac.uk/postgraduate/courses/degrees/cloud-computing-msc/#modules

How to apply

For course application information see http://www.ncl.ac.uk/postgraduate/courses/degrees/cloud-computing-msc/#howtoapply

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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

Course overview

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.

Modules

For detailed module information see http://www.ncl.ac.uk/postgraduate/courses/degrees/cloud-computing-for-big-data-mres-pgdip/#modules

How to apply

For course application information see http://www.ncl.ac.uk/postgraduate/courses/degrees/cloud-computing-for-big-data-mres-pgdip/#howtoapply

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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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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.

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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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Aimed at graduates or professionals seeking to blend IT with business and management skills, this course recognises that modern organisations require ambitious IT professionals with a balanced combination of business, IT, entrepreneurship, project management and interpersonal skills. Read more
Aimed at graduates or professionals seeking to blend IT with business and management skills, this course recognises that modern organisations require ambitious IT professionals with a balanced combination of business, IT, entrepreneurship, project management and interpersonal skills.

The course will prepare you for a career as a hybrid manager-technologist developing information systems strategies, and e-Business solutions to transform businesses into a cloud-based sece infrastructure.

Distinctive features of the course:

- The course is designed for both computing and non-computing graduates wishing to pursue a career in IT management.
- Provides a balance between management and technology-related subjects with a special focus on the IT project management, entrepreneurship and e-business applications.
- Addresses latest IT trends including cloud computing and publishing architecture.
- Allows 'practitioner entry' for those who have had considerable industrial experience in relevant fields and are able to demonstrate an ability to work appropriately at master's level.

See the website http://www.lsbu.ac.uk/courses/course-finder/it-management-for-business

Modules

- Publishing Architectures
This module will examine XML and its publishing variants ePub, docBook, Dita etc., HTML5 / PDF, and metadata transformations XSLT.

- Strategic Management and Entrepreneurship
This module provides both theoretical and prescriptive knowledge needed to deal with various managerial problems that exist in the effective and efficient utilisation of the information systems (IS) and information technologies (IT). The module places an emphasis on the small business management in the aspects of entrepreneurship, strategic plans, e-business and supply chain management.

- Research methods
The modules aims to enhance your knowledge and skills in research methodology, research ethics, planning, research design and analysis, presentation in order to undertake a large research project.

- E-business applications
On this module you be taught web site design/architecture, web site development and web-database connectivity.

- Software project management
This module develops the knowledge and skills that are required to manage IT projects. It covers the various stages in project planning, scheduling, implementation and evaluation. Issues such as leadership and human resources management in project management, risk analysis and management, monitoring and control will be discussed. Computer-based tools such as MS Project that can be used to support project management will be utilised. Factors that contribute to project success or failure will be analysed. The module intends to ensure that you gain a systematic understanding of the practical application of project management methodologies.

- Cloud computing
Cloud computing is emerging as a paradigm for Internet-based enterprise applications and services. As business moves its operations, infrastructure, communications and storage further into the virtual domain, you need to research and gain knowledge of the major aspects of cloud computing.

- Mobile Apps and Security
The module covers various mobile technology and application development for iOS, Android & Windows apps; topics covered will also examine issues such as BYOD & Security Policy/Architecture.

- Final project
This module will see you undertake a substantial, independent piece of research.

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

Employability

The course is provided specifically to address the labour market trends in IT and so you'll benefit from better job prospects and enhanced employability skills.

During your studies, where possible, you'll have the opportunity to engage in and benefit from IT industry events, workshops and exhibitions to broaden your experience and to better prepare you for the commercial work environment.

Graduates have gone on to secure positions in IT management, project management, website management, data administrator and IT consultant in both public and private sectors, including areas like retail, healthcare, education and finance.

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.

Professional links

The department will be seeking accreditation for partial Chartered IT Professional (CITP) by the British Computer Society, the Chartered Institute for IT, and from the Institute for the Management of Information Systems (IMIS).

Recent guest lecturers include Tom Gilb, author and expert in agile project management and Tony Baker from IBM Chris Miller from Dell.

Placements

The course encourages students to actively seek placements / work experience and / or voluntary work during their studies. Many of such opportunities are offered through the University's central Employability and Skills Unit.

Teaching and learning

On this course you can expect to receive academic support through the usual student tutoring system and project supervision. The course provides a virtual learning environment that facilitates e-learning. The specialist software offered to students include Microsoft SQL Server 2012, Netbeans 7.x with Java 7, Oracle, Python, SAS and Visual Paradigm.

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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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Study MSc Big Data Technologies and enter the expanding world of Big Data, Data Analytics and Cloud Technologies. Available for full-time and part-time study, this course is ideal for current practitioners who have good experience in software development and wish to enhance their skills. Read more
Study MSc Big Data Technologies and enter the expanding world of Big Data, Data Analytics and Cloud Technologies.

Available for full-time and part-time study, this course is ideal for current practitioners who have good experience in software development and wish to enhance their skills. As well as anyone who holds an undergraduate degree in technology-based disciplines such as Computer Science, Software Engineering, Web Technologies, Computer Engineering, Mathematics and Electronics.

This masters is unique as it provides you with a fundamental understanding of the architectures of Big Data systems as well as developing the enhanced skills in software application development and data analytics solutions that you need.

It is our aim to increase skills in the new technology areas that business and industry are rapidly adopting. These include big data architectures, cloud computing, web technologies, data analytics (especially SAS and IBM Watson Analytics), big data computing platforms and the ever-expanding sources of data related to the Internet of Things.

This course has several different available starts and study formats - please view the relevant web-page for more information:
SEPTEMBER 2017 (Part Time) - http://www.gcu.ac.uk/ebe/study/courses/details/index.php/P02870-1PTA-1718/Big_Data_Technologies_(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/P02860-1FTAB-1718/Big_Data_Technologies?utm_source=ZZZZ&utm_medium=web&utm_campaign=courselisting

JANUARY 2018 (Part Time) - http://www.gcu.ac.uk/ebe/study/courses/details/index.php/P02870-1PTAB-1718/Big_Data_Technologies_(Part-time)?utm_source=ZZZZ&utm_medium=web&utm_campaign=courselisting

Programme Description

The MSc in Big Data Technologies equips students with the fundamental knowledge and practical skills required to enter the exciting and challenging world of Big Data.

The programme takes a technology-focused approach to help students gain valuable skills that can be applied immediately within business and industry. Students will also build expertise in the key enabling technologies of cloud computing and will gain skills in one of the most exciting current areas of Big Data computing, the Internet of Things.

Why Study this Programme

This programme will equip students with the fundamental knowledge and skills of the core technologies for harnessing the big data challenges, including capture, curation, storage, integration, sharing, search, analysis, mining of large distributed unstructured datasets.

Studies on this programme are supported and enhanced uniquely by the University’s internationally excellent research strengths, especially in cloud computing, cyber security, Internet of Things and cyber-physical systems. Of parallel importance in our programme is to cultivate the professionalism which is expected within the industry.

With all the future-proofing capabilities synthesised coherently together, graduates of the MSc in Big Data Technologies will be amongst the most highly skilled ICT graduates, responding confidently to the needs and challenges in diverse big data application domains.

What you'll learn

Students complete six taught modules.

Trimester A:
-Cloud Computing and Web Services
-Big Data Landscape
-Data Analytics.

Trimester B:
-Big Data Platforms
-Internet of Things
-IT Professional Issues and Project Methods.

Trimester C:
-MSc Dissertation

Work Placement

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

Assessment

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

Graduates of the MSc in Big Data Technologies will be amongst the most highly skilled ICT graduates, responding confidently to the needs and challenges in diverse Big Data application domains.

This programme provides key skills for those seeking employment or career enhancement as Big Data systems developers, architects and administrators, and Big Data technologist for businesses and organisations in diverse domains from engineering industries, environmental surveillance, smart cities, to service type industries.

Read less
Study MSc Big Data Technologies and enter the expanding world of Big Data, Data Analytics and Cloud Technologies. Available for full-time and part-time study, this course is ideal for current practitioners who have good experience in software development and wish to enhance their skills. Read more
Study MSc Big Data Technologies and enter the expanding world of Big Data, Data Analytics and Cloud Technologies.

Available for full-time and part-time study, this course is ideal for current practitioners who have good experience in software development and wish to enhance their skills. As well as, anyone who holds an undergraduate degree in technology-based disciplines such as Computer Science, Software Engineering, Web Technologies, Computer Engineering, Mathematics and Electronics.

Unlike many data science MSc courses, this masters provides you with a fundamental understanding of the architectures of Big Data systems as well as the enhanced skills in software application development and data analytics solutions that you need.

It is our aim to increase skills in the new technology areas that business and industry are rapidly adopting. These include big data architectures, cloud computing, web technologies, data analytics (especially SAS and IBM Watson Analytics), big data computing platforms and the ever-expanding sources of data related to the Internet of Things.

Programme Description

The MSc in Big Data Technologies equips students with the fundamental knowledge and practical skills required to enter the exciting and challenging world of Big Data.

The programme takes a technology-focused approach to help students gain valuable skills that can be applied immediately within business and industry. Students will also build expertise in the key enabling technologies of cloud computing and will gain skills in one of the most exciting current areas of Big Data computing, the Internet of Things.

Work Placement

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

Assessment

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

Graduates of the MSc in Big Data Technologies will be amongst the most highly skilled ICT graduates, responding confidently to the needs and challenges in diverse Big Data application domains.

This programme provides key skills for those seeking employment or career enhancement as Big Data systems developers, architects and administrators, and Big Data technologist for businesses and organisations in diverse domains from engineering industries, environmental surveillance, smart cities, to service type industries.

Why Study this Programme

This programme will equip students with the fundamental knowledge and skills of the core technologies for harnessing the big data challenges, including capture, curation, storage, integration, sharing, search, analysis, mining of large distributed unstructured datasets.

Studies on this programme are supported and enhanced uniquely by the University’s internationally excellent research strengths, especially in cloud computing, cyber security, Internet of Things and cyber-physical systems.

Of parallel importance in our programme is to cultivate the professionalism which is expected within the industry.

With all the future-proofing capabilities synthesised coherently together, graduates of the MSc in Big Data Technologies will be amongst the most highly skilled ICT graduates, responding confidently to the needs and challenges in diverse big data application domains.

What you'll learn

Students complete six taught modules.

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

Trimester B:
-Big Data Platforms
-Internet of Things
-IT Professional Issues and Project Methods

Trimester C:
-MSc Dissertation

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This industry-focused course is for Computer Science graduates and experienced professional programmers interested in developing high-quality, complex software systems. Read more
This industry-focused course is for Computer Science graduates and experienced professional programmers interested in developing high-quality, complex software systems.

Who is it for?

This industry-focused course is for Computer Science graduates and experienced professional programmers interested in developing high-quality, complex software systems and aiming at a high-quality career in the industry, e.g. software houses, consultancies, and major software users across different sectors.

Students will have a keen interest in designing complex software systems, coding them in a programming language using the latest technologies (SOA, cloud, etc.), and ensuring that they are of high quality and that they actually meet the needs of their stakeholders.

Objectives

You will develop skills in analysing requirements and designing appropriate software solutions; designing and creating complex software systems to solve real-world problems, evaluating and using advanced software engineering environments, design methods and programming languages, and evaluating and responding to recent trends in interoperability and software development.

The course focuses on advanced engineering concepts and methods, as well as design issues for the systematic development of high-quality complex software systems. These are explored using industrial strength technologies, like the C++ and Java programming languages and the UML modelling language.

The course covers significant trends in systems development, including service-oriented architecture, cloud computing, and big data. The course is delivered by acknowledged experts and draws on City's world-class research in Systems and Software Engineering, which has one of the largest groups of academics working in this area in London, covering almost all aspects - from requirements, to designing reliable systems for the nuclear industry.

Placements

Postgraduate students on a Computing and Information Systems course are offered the opportunity to complete up to six months of professional experience as part of their degree.

Our longstanding internship scheme gives students the chance to apply the knowledge and skills gained from their taught modules within a real business environment. An internship also provides students with professional development opportunities that enhance their technical skills and business knowledge.

Internships delivered by City, University of London offer an exceptional opportunity to help students stand out in the competitive IT industry job market. The structure of the course extends the period for dissertation submission to January, allowing students to work full-time for up to six months. Students will be supported by our outstanding Professional Liaison Unit (PLU) should they wish to consider undertaking this route.

Teaching and learning

Software Engineering MSc is available full-time (12 months) as well as part-time (up to 28 months).

Students successfully completing eight taught modules and the dissertation for their individual project will be awarded 180 credits and a Master's level qualification. Alternatively, students who do not complete the dissertation but have successfully completed eight taught modules will be awarded 120 credits and a postgraduate diploma. Successful completion of four taught modules (60 credits) will lead to the award of a postgraduate certificate.

Assessment

Each module is assessed through a combination of coursework and examination.

Modules

You will develop skills in analysing requirements and designing appropriate software solutions; designing and creating complex software systems to solve real-world problems, evaluating and using advanced software engineering environments, design methods and programming languages and evaluating and responding to recent trends in interoperability and software development.

The focus of the course is on advanced engineering concepts and methods, as well as design issues for the systematic development of high-quality complex software systems. These are explored using industrial strength technologies, such as the C++ and Java object-oriented programming languages and the UML modelling language.

The course covers significant trends in systems development, including service-oriented architecture, mobile and pervasive computing, cloud computing, big data, and XML-enabled interoperable services. The course is delivered by acknowledged experts and draws on City's world-class research in Systems and Software Engineering. City has one of the largest groups of academics working in the area in London, working on almost all aspects of the area - from requirements, to designing reliable systems for the nuclear industry.

Core modules - there are five core modules:
-Advanced Database Technologies (15 credits)
-Research Methods and Professional Issues (15 credits)
-Service Oriented Architectures (15 credits)
-Software Systems Design (15 credits)
-Advanced Programming: Concurrency (15 credits)

Elective modules - you will be required to take three elective modules, choosing from the following:
-Advanced Algorithms and Data Structures (15 credits)
-Big Data (15 credits)
-Programming in C++ (15 credits)
-Business Engineering with ERP Solutions (15 credits)
-Mobile and Pervasive Computing (15 credits)
-Data Visualization (15 credits)
-Cloud Computing (15 credits)

Career prospects

The MSc in Software Engineering aims to meet the significant demand for graduates with a good knowledge of computing. This demand arises from consultancies, software houses, major software users such as banks, large manufacturers, retailers, and the public services, defence, aerospace and telecommunications companies.

Typical entrants to the course have a degree in an engineering or scientific discipline, and wish to either move into the software engineering field or to the development of software for their current field. Entrants must have previous exposure to computing, especially to programming (particularly in Java or C#) and relational databases (from either academic or professional experience).

From this base, the course provides solid technical coverage of advanced software development, including such widely used languages as C++, Java, UML and XML for which demand is particularly high. The course is therefore quite demanding; its success in providing advanced academic education along these lines is evident from the fact that recent graduates of the course are currently employed in a wide spectrum of organisations.

Of course, the employment value of a master's degree is not just short term. Although on-the-job training and experience as well as technology specific skills are valuable, they can be rather narrow and difficult to validate, and to transfer. The structure of this course ensures that there is a strong balance between the development of particular skills and a solid education in the enduring principles and concepts that underlie complex software system development.

SAP Certification - in parallel to your degree you will be able to register for a SAP TERP10 Certification course at a substantial discount, thus obtaining an additional, much sought-after qualification

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