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Glasgow Caledonian University, Full Time MSc Degrees in Computer Science

We have 6 Glasgow Caledonian University, Full Time MSc Degrees in Computer Science

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

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

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

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

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

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

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

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

What you will study

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

Cloud Computing and Web Services

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

Big Data Landscape

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

Data Analytics

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

Big Data Platforms

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

Internet of Things

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

IT Professional Issues and Project Methods

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

Masters Dissertation

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

Work placements

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

Assessment methods

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

Graduate prospects

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



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

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

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

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

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

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

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

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

What you will study

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

Cloud Computing and Web Services

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

Big Data Landscape

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

Data Analytics

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

Big Data Platforms

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

Internet of Things

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

IT Professional Issues and Project Methods

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

Masters Dissertation

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

Work placements

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

Assessment methods

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

Graduate prospects

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



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

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

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

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

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

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

What you will study

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

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

Cloud Computing and Web Services

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

Cloud Virtualisation Security

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

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

Big Data Landscape

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

Cloud Software Engineering

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

Internet of Things

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

IT Professional Issues and Project Methods

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

Masters Dissertation

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

Placements

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

Assessment methods

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

Graduate prospects

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

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



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The MSc Telecommunications Engineering programme provides a comprehensive understanding of modern communication technologies and the techniques used in telecommunication. Read more
The MSc Telecommunications Engineering programme provides a comprehensive understanding of modern communication technologies and the techniques used in telecommunication. Created in consultation with industry, this programme offers you the opportunity to gain relevant practical skills and to develop the expert knowledge needed to succeed in the telecommunications arena.

Programme description

The desire for higher data rates and mobility in applications such as mobile telephony and wireless networks has stimulated a massive growth in the telecommunications field in the last decades, which presents exciting opportunities to people working, or wanting to work in this popular area.

The MSc Telecommunications Engineering programme offered by GCU has been created to provide you with a comprehensive understanding of modern communication technologies and of the techniques used in telecommunication companies. Created in consultation with industry, this programme offers you the opportunity to gain relevant practical skills and to develop the expert knowledge that will allow you to succeed in the telecommunications arena.

Some of the key aspects covered by our programme include mobile telephony, satellite communication systems, optical systems and networks, and digital communications. Knowledge in these areas will allow you to successfully design and manage telecommunication systems and services.

Why Choose This Programme?

Our innovative approach to learning and teaching ensures students benefit from the latest thinking and best practice. You will have the opportunity to broaden individual and particular interests at Masters level, for example, ethics and technology and technology and environmental management. In the third trimester you will undertake a major project within the area of wireless communications. Projects can be industry-based or chosen from a selection of research and consultancy activities.

Assessment

All modules include examinations and coursework. Practical computing forms a significant part of assessment. This is accomplished through coursework and practical tests.

Career Opportunities

Graduates will be able to pursue careers within a wide range of industrial and technology sectors such as telecommunications, networking, communication systems, remote instrumentation, remote data logging, signal processing and software development.

The programme content will also benefit those in industry, commerce and management who wish to gain skills in wireless systems to help them better implement, advise, purchase, sell and manufacture wireless system technologies.

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3D visualisation and animation play a role in many areas, and the popularity of these media just keeps growing. Read more

3D visualisation and animation play a role in many areas, and the popularity of these media just keeps growing. Digital animation provides the eye-catching special effects in the 21st century's favourite films and television shows; 3D design is also essential to everyday work in everything from computer games development, online virtual world development and industrial design to marketing, product design and architecture.

GCU's programme in 3D Design for Virtual Environments will help you develop the skills to thrive in a successful career as a visual designer. The programme is practical and career-focused, oriented towards current industry needs, technology and practice. No prior knowledge of 3D design is required.

The curriculum will help you build your creative vision and technical skills as a 3D designer.

  • Explore the use of video and animation in digital video, multimedia and web publishing
  • Experiment with interactive media types and techniques
  • Sharpen your skills in creative thinking and generating ideas
  • Master digital video production and digital media integration techniques
  • Gain pre-production skills like planning, storyboarding and conceptualising
  • Practise production skills like 3D modelling, animation, lighting and rendering
  • Develop post-production skills in video editing and integrating 2D and 2D visuals
  • Work with cutting-edge computer applications and digital environments

At GCU, you'll join a friendly community of smart, talented people who love the work they do. People who love to take on a creative challenge and are just as happy to collaborate as they are to compete. People who look for ways to support the common good and make the world a more beautiful, welcoming place.

Our mission is producing graduates who have the skills to make a positive impact with their work - and the perspective to understand why it matters.

What you will study

3D design at postgraduate level includes 3D modelling, animation, video and motion graphics. Modules are designed to meet current industrial needs, technology and practice.

The programme offers four specialist pathways; Virtual Environments; Architecture; Computer Games and Visual Effects.

There are six taught modules, each module is taught over a twelve week period. Each week consists offormal lectures, lab work, tutorials and private study. On satisfactory completion of the modules,you proceed to a major project and submit a final dissertation for examination. This is completed overa three month period following the taught modules.

Digital Media Technology and Development

An introduction to digital media hardware and software tools, and methods of production and organisation. The student will learn 3D visualisation and animation techniques using the latest 3D software applications.

Digital Video and Motion Graphics

Develop skills and practical knowledge of digital video/film productiontechniques and the association of digital motion graphics media production.Application of creative technique will cover elective areas such as short filmproduction, documentary production, 3D animation composition, titlesequence generation and abstract motion graphics effects.

Digital Media Publishing and Commercialisation

Progress the work of the Digital Media Technology and Development module of Trimester A. The intention is to provide a full understanding of the subject material relevant to the development of a broadcast level digital media project.

Digital Portfolio and Industrial Production Techniques

This module will provide practical knowledge of digital media publishing techniques suitable for the production of portfolio media. Students will investigateand demonstrate knowledge of a range of digital media tools and techniques for the promotion of skills within a portfoliopresentation. Critical analysis of various types of digital media delivery platforms,copyright issues, and digital marketingstrategies will be covered. This modulewill also provide an overview of how 3Dmodelling and animation fits within the context of the particular industry sectorwhich is relevant to the students areaof specialisation.

Research and Project Methods

This module aims to provide students with the background knowledge and skills that, in combination with the technical skills acquired in other taught modules, will enable them to carry an MSc dissertation through to a successful conclusion. Students will study all aspects of the processes underlying both capstone projects and research projects, and will relate these to available tools, ethical considerations and professional issues.

MSc Project

The Project acts as a vehicle for extendingthe knowledge and understanding of thestudent and the technical community insome specialist technical area. It serves,through its length, complexity andrigour, as a suitable vehicle for extending,in the student, a range of personal,interpersonal and communication skills.In addition, it serves to develop andextend a range of high-level thinkingskills, including analysing and synthesisingskills and affords the opportunity for thestudent to demonstrate initiative andcreativity in a major piece of technologicalwork. The student has the option of awritten dissertation or a dissertationby film.

Assessment methods

Modules are assessed by both examination and coursework (sometimes known as continual assessment) depending on the requirements of individual modules.

Graduate prospects

As a graduate of the 3D Design for Virtual Environments programme, you'll bring a specialised skill set and needed expertise to any design-related role. A background in 3D design is especially important for a design career in advertising, communication, publishing or online marketing. You'll be a competitive candidate for these design roles and more.



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If you're already a successful networking professional who wants to advance your career to the next level, this unique one-year master's programme is designed for you. Read more

If you're already a successful networking professional who wants to advance your career to the next level, this unique one-year master's programme is designed for you. The only programme of its kind in the world, GCU's MSc Advanced Internetwork Engineering will prepare you for the Cisco Certified Internetwork Expert (CCIE) exam.

The programme offers a structured, supported path so you can develop expert-level network engineering skills and achieve CCIE certification. With this elite credential, you'll be a competitive candidate for senior-level and leadership roles in network engineering.

We partnered with Internetwork Expert Inc. (INE), the leaders in CCIE preparation, to develop this programme. Students learn with INE's CCIE Routing and Switching Workbook and remote rack management systems, the global gold-standard in CCIE prep materials.

Lectures and labs bring together theory and practice, integrating hands-on demonstrations and experiential learning using live equipment. With GCU's career-focused atmosphere and supportive environment, you'll have an ideal opportunity to build valuable skills.

  • Develop your ability to complete increasingly complex networking challenges
  • Master the workings of networking technologies at an expert level
  • Practise taking on the large-scale, full-day scenarios you'll encounter in the CCIE lab exam

With its focus on real-world relevance and skills you can use in your career today, this programme supports GCU's broader mission of producing graduates who are both successful and socially driven. We encourage graduates to harness their abilities to make real change and support the common good. We hope you'll find new ways to excel in your field - and new ways to make a positive impact in your workplace and your community.

What you will study

Learn the workings and behaviour of technologies at an expert level. Discover the methods of verifying their correct operation and begin troubleshooting with confidence. With the help of this unique syllabus, you can begin to predict the behaviour of technologies and develop an expert knowledge of the interactions between them.

Layer 2 Technologies

The theoretical knowledge and practical skills needed to determine appropriate design choices for layer 2 network solutions, implement them and verify their operation. This module covers both campus (LAN) and wide area network technologies.

Layer 3 Technologies 1

Thetheoretical knowledge and practical skills needed to determine appropriate design choices for layer 3 network solutions, implement them and verify their operation. This module covers IPv4 addressing issues, interior routing protocols e.g. static, RIP, EIGRP, OSPF, ODR; Layer 3 design issues e.g. address summarization and filtering.

Layer 3 Technologies 2

The theoretical knowledge and practical skills needed to determine appropriate design choices for layer 3 network solutions, implement them and verify their operation. This module focuses on exterior routing (BGP); IPv6 routing and large scale Layer 3 design issues e.g. address aggregation, filtering and traffic engineering through the implementation of routing policies in a multi Autonomous System environment.

Multicast and WAN Technologies

IP multicast technologies including multicast addressing, IP multicast routing using PIM (sparse mode, dense mode, static and dynamic RP assignments etc),the relationship between unicast and multicast routing, the importance of RPF checks, Any cast RP, Source Specific Multicast. The provision of multicast services to end hosts (IGMP v1/2/3). WAN technologies are covered with a focus on PPP.

VPN and Security Technologies

The knowledge/skills needed to design and implement virtual private network solutions, either for the purpose of solving routing issues, security issues or both. This module covers tunnelling technologies designed to enhance connectivity e.g. MPLS, GRE, 6 to 4 and security (IPSec). Methods of securing infrastructure devices and data networks are also examined.

Infrastructure Services

A wide range of system management techniques (e.g. SNMP, remote management, logging, event monitoring), network services, and performance optimization (quality of service) technologies which depend upon a solid core network for their operation.

Integrating Network Technologies

Draws scenarios from the other technology modules, accordingly you will develop the ability to integrate and troubleshoot progressively more complex internetworks as the year progresses. Students undertake activities which help them develop the kind of customer facing skills and commercial awareness needed for a high level career in the networking industry.

Research and Project Methods

Background knowledge and skills that, in combination with the technical skills acquired in other taught modules will enable you to carry out a successful MSc Dissertation. By the end of the module you will have produced a viable proposal for a dissertation project.

MSc Project

A vehicle for extending the knowledge and understanding of the student and the technical community in a chosen specialist area. It serves, through its length, complexity and rigour, as a suitable vehicle for extending a range of personal, interpersonal and communication skills.

Assessment methods

Taught modules are assessed on a mix of coursework and practical class tests. Practical networking skills form a significant part of the assessment. Modules also include formal examinations where appropriate.

Graduate prospects

Graduates of GCU's MSc Advanced Internetwork Engineering programme develop the technical, commercial and presentation skills needed for a successful senior-level career in the networking industry. You'll find opportunities in network engineering, network consultancy design and network operations centres.

http://www.gcu.ac.uk/aie



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