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This course provides an understanding of social research, with a particular focus on social statistics and quantitative methods. Read more

Introduction

This course provides an understanding of social research, with a particular focus on social statistics and quantitative methods. The course includes orientation material on social research methods as a whole, and detailed training on a wide range of statistical methods, with advanced modules on data management and emerging priority research areas, such as big data and social network analysis.
Teaching covers the theories behind the methods, and the practical work in using datasets and analysing them with statistical software. Students will gain a variety of highly marketable skills in the areas of social research and social statistics.

Key information

- Degree type: MSc, Postgraduate Diploma
- Study methods: Full-time, Part-time
- Start date: Full-time: SeptemberPart-time: September/JanuarySee semester dates
- Course Director: Dave Griffiths
- Location: Stirling Campus

Course objectives

This course provides an understanding of social research, with a particular focus on social statistics and quantitative methods. The course includes orientation material on social research methods as a whole, and detailed training on a wide range of statistical methods, with advanced modules on data management and emerging priority research areas, such as big data and social network analysis.
Teaching covers the theories behind the methods, and the practical work in using datasets and analysing them with statistical software. Students will gain a variety of highly marketable skills in the areas of social research and social statistics.

English language requirements

If English is not your first language you must have one of the following qualifications as evidence of your English language skills:
- IELTS: 6.5 with 6.0 minimum in each skill
- Cambridge Certificate of Proficiency in English (CPE): Grade C
- Cambridge Certificate of Advanced English (CAE): Grade B
- Pearson Test of English (Academic): 60 with 56 in each component
- IBT TOEFL: 90 with no subtest less than 20

For more information go to http://www.stir.ac.uk/study-in-the-uk/entry-requirements/english/

If you don’t meet the required score you may be able to register for one of our pre-sessional English courses. To register you must hold a conditional offer for your course and have an IELTS score 0.5 or 1.0 below the required standard.

If you don’t meet the required score you may be able to register for one of our pre-sessional English courses. To register you must hold a conditional offer for your course and have an IELTS score 0.5 or 1.0 below the required standard. View the range of pre-sessional courses http://www.intohigher.com/uk/en-gb/our-centres/into-university-of-stirling/studying/our-courses/course-list/pre-sessional-english.aspx .

Structure and content

Students will undertake four core modules, two option modules and complete a 15,000 word dissertation. In the full time programme, 3 modules are completed during the Autumn semester, 3 in the Spring, and the dissertation submitted in the summer. Module either cover wider topics in social research, or focus on understanding and implementing advanced quantitative methods.

Core modules

- Research Design and Process
- Quantitative Data Analysis
- Advanced Data Analysis
- Advanced Data Management
- Using Big Data in Social Research

Option modules
Students will also select two option modules from a range of applied social research topics. The recommended option is Social Network Analysis.

Other options include The Nature of Social Enquiry, Policy Analysis and Evaluation Research, Qualitative Analysis and Research Methods in Criminology and Socio-Legal Studies. Some of these modules will be particularly suitable for students with an interest in mixed methods research.

Delivery and assessment

Modules are generally a combination of lectures and workshops. Teaching largely takes place on Tuesdays, although some components might take place on other days. The contact hours are sympathetic to those working alongside their studies. Most teaching is performed in smaller classes, with group activities. Modules are usually assessed by an examination, software based assignments, and essays.

Why Stirling?

REF2014
In REF2014 Stirling was placed 6th in Scotland and 45th in the UK with almost three quarters of research activity rated either world-leading or internationally excellent.

Career opportunities

Social statistics are an important area within applied social research, offering employment opportunities within the private, public and voluntary sectors, as well as further study. Students will develop thorough knowledge of software and learn a range of sought-after technical skills, including accessing, preparing, analysing and summarising complex quantitative datasets. The course is also designed to provide the technical skill set required for further PhD study.

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There is ever-growing national and international demand for qualified professionals and scientists who have expertise in one or more domains of social and environmental modelling and GIS-based spatial analysis and decision support. Read more
There is ever-growing national and international demand for qualified professionals and scientists who have expertise in one or more domains of social and environmental modelling and GIS-based spatial analysis and decision support. The UCL's Geospatial Analysis MSc provides rigorous scientific and vocational training for the next generation of scientific modelling and decision-support professionals.

See the website http://www.ucl.ac.uk/prospective-students/graduate/taught/degrees/geospatial-analysis-msc

Key Information

- Application dates
All applicants:
Open: 5 October 2015
Close: 29 July 2016
Optional qualifications: This degree is also available as a PG Diploma and a PG Certificate with fees set accordingly.

English Language Requirements

If your education has not been conducted in the English language, you will be expected to demonstrate evidence of an adequate level of English proficiency.
The English language level for this programme is: Good
Further information can be found on http://www.ucl.ac.uk/prospective-students/graduate/life/international/english-requirements .

International students

Country-specific information, including details of when UCL representatives are visiting your part of the world, can be obtained from http://www.ucl.ac.uk/prospective-students/international .

Degree Information

The programme combines a rigorous treatment of underlying theory for, and methods of implementing and exploiting, spatial analysis and decision support. Optional courses provide the opportunity to develop expertise in modelling and analysis in one or more areas of social and environmental science with social and policy dimensions.

Students undertake modules to the value of 180 credits.

The programme consists of four core modules (60 credits), four optional modules (60 credits) and a research dissertation (60 credits).

A Postgraduate Diploma (120 credits, full-time nine months, part-time two years) is offered.

A Postgraduate Certificate (60 credits, full-time 12 weeks, part-time one year) is offered.

- Core Modules
GIS Principles and Technology
Mapping Science
Principles of Spatial Analysis
Representation, Structures and Algorithms

- Options
Airborne Data Acquisition
Climate Modelling
Geodemographics and Population Geography
GIS Design
Network and Locational Analysis
Spatial Decision Support Systems
Spatio-temporal Analysis and Data Mining
Surface Water Modelling
Terrestrial Carbon: Modelling and Monitoring
Web and Mobile GIS

- Dissertation/report
All MSc students undertake an independent research project which culminates in a dissertation of approximately 12,000 words and a poster presentation.

Teaching and Learning

The programme is delivered through a combination of lectures, seminars, tutorials and laboratory and computer-based practical classes. Assessment is through independent project work, practical-based and written coursework, and the dissertation.

Further information on modules and degree structure available on the department web site Geospatial Analysis MSc http://www.ucl.ac.uk/gis

Funding

Scholarships relevant to this department are displayed (where available) below. For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website http://www.ucl.ac.uk/prospective-students/scholarships .

Careers

There is a national and international need for scientists with skills in GIS-based analysis and decision support complemented by a deep knowledge of domain-specific models and analytical methods that can be brought to bear on environmental issues and their social consequences. The MSc provides an ideal foundation for PhD research, or for prospective employment within research organisations, consultancies, government departments and a wide range of industries.

- Employability
A student on the first cycle of the course came with work experience in water engineering in several Middle Eastern countries. He took the options in Spatial Decision Support, Network and Locational Analysis, Geodemographics and Population Geography, and Spatio-Temporal Analysis and Data Mining to broaden and add depth to his skills base; his dissertation was undertaken with Kuwait's Environmental Public Authority. He spent a year acting as a consultant on water engineering projects worldwide and returned to UCL in September 2013 to study for a PhD.

Why study this degree at UCL?

The Geospatial Analysis MSc is run by UCL Geography, which enjoys an outstanding international reputation for its research and teaching. The programme brings together the department's strong expertise in spatial science and social and environmental modelling.

Contributions to the programme are also made by UCL Civil, Environmental and Geomatic Engineering, providing complementary expertise in geographic information systems.

Students enter a vibrant, enthusiastic, and international research environment in which collaboration and free-ranging debate are strongly encouraged. UCL's location, in central London, provides easy access to many key intellectual venues and resources, such as the British Library.

Student / staff ratios › 43 staff including 15 postdocs › 158 taught students › 70 research students

Application and next steps

- Applications
Students are advised to apply as early as possible due to competition for places. Those applying for scholarship funding (particularly overseas applicants) should take note of application deadlines.

- Who can apply?
The programme is particularly suitable for students with an undergraduate degree in Geography, Earth or Environmental Science, Geomatics, Oceanography, or another relevant discipline. Applicants with relevant professional experience in geographic information systems, spatial analysis or decision support will also be considered.

What are we looking for?
When we assess your application we would like to learn:
- why you want to study Geospatial Analysis
- why you want to study Geospatial Analysis at UCL
- what particularly attracts you to this programme
- how your academic and/or professional background meets the demands of a challenging academic environment
- where you would like to go professionally with your degree

Together with essential academic requirements, the personal statement is your opportunity to illustrate whether your reasons for applying to this programme match what the programme will deliver.

For more information see our Applications page http://www.ucl.ac.uk/prospective-students/graduate/apply .

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Would you like to update, extend and deepen your knowledge in Networking Technologies? This course combines learning opportunities designed to enhance the depth and breadth of your knowledge in core themes including routing, switching, wireless and network security. Read more
Would you like to update, extend and deepen your knowledge in Networking Technologies? This course combines learning opportunities designed to enhance the depth and breadth of your knowledge in core themes including routing, switching, wireless and network security.

By studying this course you will develop the theoretical knowledge and practical skills required for employment in the network industry. The course has been designed with a complementary set of modules to enable you to complete external CISCO and CCNP examinations in addition to achieving the MSc qualification. You will graduate with the educational requirements for BCS, the Chartered Institute for IT, Chartered IT Professional Registration and for Chartered Engineer status.

This course can also be taken in January and has an advanced practice option - for more information, please view the relevant web-page:
16 months full time - https://www.northumbria.ac.uk/study-at-northumbria/courses/computer-network-technology-msc-ft-dtfcty6/

2 years full time with advanced practice - https://www.northumbria.ac.uk/study-at-northumbria/courses/computer-network-technology-with-advanced-practice-msc-dtscte6/

Learn From The Best

Our course is at the forefront of current knowledge and practice, shaped by world-leading and internationally excellent research. Our staff are both inspirational academics with a passion for their subject and industry experts with extensive experience in their field. They combine their research passions, teaching interests and professional expertise to shape the curriculum and ensure the currency of the course. The team include published authors and senior members of IEEE, with interests including web design and development, web programming, image engineering and security, computer networks, image processing and information research methods.

Teaching And Assessment

Studying with us will provide you with a wide range of learning opportunities in a challenging, stimulating and dynamic environment. You will participate in lectures, small group seminars, laboratory sessions, simulated practical skills sessions, and field study visits where appropriate. There is an emphasis on independent learning and using new research development in the relevant subject area. You will be expected to evaluate theoretical or practical frameworks for the analysis and critical evaluation of a variety of issues, informed by recent research.

Module Overview
KD7048 - Switch: IP Switched Networks and Troubleshooting (Core, 20 Credits)
KF7003 - Network Security (Core, 20 Credits)
KF7026 - ROUTE: IP Routing and Troubleshooting (Core, 20 Credits)
KF7028 - Research Methods and Project Management (Core, 20 Credits)
KF7029 - MSc Computer Science & Digital Technologies Project (Core, 60 Credits)
KF7031 - Wireless Networks and Security (Core, 20 Credits)
KF7046 - Computer Network Implementation (Core, 20 Credits)

Learning Environment

When you want to get hands-on with technology and really understand how everything connects, how to create games or protect data integrity, our range of specialist facilities will support you. Through our computer network technology labs, digital security lab, animation and visual effects studios, games studio, and other specialist facilities, you will be able to investigate, diagnose, apply fixes and protections to ensure that organisations can make the best use of their technology.

You will be supported in your learning, where appropriate, via an eLearning portal (Blackboard) that provides remote access to course materials, by electronic submission and feedback on your assessments, and online reading lists.

Research-Rich Learning

Industry practice has strongly influenced the design of this course, and the content will evolve in line with developments in industry and in the subject as an academic discipline. Staff research and industrial expertise informs the teaching in all years with 58% of the department of Computer Science and Digital Technologies research outputs were ranked world-leading or internationally excellent according to the 2014 UK-wide Research Excellence Framework. This figure makes us the leading Modern University in the North East for research power.

The department’s academic research interests include imaging for forensics and security, biometrics, homeland security, image/video watermarking and cryptography.

Give Your Career An Edge

This course is designed to provide you with the knowledge and skills necessary for postgraduate employment in computer networking and network security, and progression to further study if desired. Within the course the choice of skill and knowledge areas, tools, techniques and methods has been made to ensure you are immediately valuable to employers, both at the placement and at the graduate stage.

Because of our reputation for strong partnerships with employers and the success of our graduates, we have an incredibly strong and international industry network. Our students have benefited from working with household names like CERN, Nissan, IBM, Hewlett Packard, Procter & Gamble, Nintendo, Microsoft, Accenture and many more.

Your Future

The increasing demand for specialists in network security and network programming means that graduates have excellent employment prospects in Computer Network Technology, including roles such as Network designer, Network manager, and Network engineer, as well as many other roles across public and private organisations. Alternatively, you will be very well equipped for further research in an academic or research and development environment, and the mix of research, numerical and problem-solving skills are desirable to careers outside of this subject.

Through your coursework, you will have developed and applied computational, communication, research and team-working skills. Learning independently, managing yourself and others on project tasks, and evaluating and reflecting upon practitioner experience are all essential skills of the computing professional which your modules help to develop, providing you with opportunities to practise and demonstrate proficiency for your future career.

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The programme is to educate our students in the design, implementation and troubleshooting of Computer Networks and high performance cluster computing scenarios. Read more
The programme is to educate our students in the design, implementation and troubleshooting of Computer Networks and high performance cluster computing scenarios. The programme includes material required for the Cisco Certified Network Professional (CCNP) qualification, and students can work towards this internationally recognised qualification alongside their MSc degree.

Course Overview

This programme aims to provide in-depth knowledge and skills in the specialist area of networking. It has been developed in response to the need for personnel equipped with the skills needed to design, implement and troubleshoot an enterprise computer network infrastructure

The course is designed primarily for science and technology graduates who have some prior knowledge of computing and/or networking and who wish to specialise in computer networking.

The School is a Cisco Academy, an Academy Support Centre and an Instructor Training Centre. The School has been delivering Cisco Networking Academy programme since 1999. The Master’s programme is blended with Cisco Certified Network Professional (CCNP) curriculum. Cisco is the world’s leading network device manufacturer and the CCNP is a prominent professional qualification in the networking industry.

Modules

Part 1:
-Emerging Network Technologies(20 credits)
-Implementing IP Routing (20 credits)
-IP Switched Networks (20 credits)
-Leadership and Management (20 credits)
-Network Security (20 credits)
-Research Methods and Data Analysis (20 credits)

Part 2:
-Major Project (60 credits)

Key Features

The Internet has now become part of our day-to-day life and is growing rapidly even during recessions. An expanding mobile communications backbone (as evinced by the number of smartphones being projected to rise from 500 million in 2011 to 2 billion by 2015) has led to greatly increased mobile internet traffic.

To take advantage of this opportunity, companies will require staff who are skilled in network design, implementation, administration, management and analysis. Students on this programme will also be given an opportunity to study towards industrial qualifications such as Cisco Certified Network Associate (CCNA) and Cisco Certified Network Professionals (CCNP).

Assessment

Student works are assessed through combination of coursework, lab-based practical exams and written examinations. The final mark for some modules may include one or more pieces of course work set and completed during the module. Project work is assessed by a written report and oral presentation. Part 2 requires the student to research and prepare an individual project/dissertation of a substantial nature.

University students who are unable to successfully complete all aspects of the Part 1 may be eligible for a Postgraduate Diploman (120 credits) or Postgraduate Certificate (60 credits).

Career Opportunities

The programme emphasises four key themes within Computer Networking: routing and switching, emerging network technologies, network design, and security. Graduates will undertake a range of tasks associated with networking in organisations, and will be capable developing sophisticated solutions to networking problems. It is anticipated that graduates in the field of computer networks would be able to find employment in a number of different areas, including routing and switching, network design, VoIP, and security.

It is expected that graduates would seek positions such as:
-Network Administrators
-Network Associates
-Network Engineers
-Senior Network Engineers
-Network Support Engineers
-Security Engineers
-Systems Engineers
-Network Specialists
-Network Analysts

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We offer Industrial Experience options on all our full-time taught MSc programmes, which combine academic study with a one-year industrial placement between your taught modules and summer project. Read more
We offer Industrial Experience options on all our full-time taught MSc programmes, which combine academic study with a one-year industrial placement between your taught modules and summer project. Taking the Industrial Experience option as part of your degree gives you a route to develop real-world, practical problem-solving skills gained through your programme of study in a professional context.

This can give you an important edge in the graduate job market. As a leading research School, we have excellent links with industry. We also employ dedicated staff to help you arrange your year in industry. The Industrial Experience programmes are highly competitive and attract the best students given the limited availability of placements. We are unable to guarantee all students secure an industrial placement, as our industrial partners conduct their own employment application and interview processes.

This programme is designed for those who want to pursue a career as data scientists, deriving valuable insights and business relevant information from large amounts of data. You will cover the fundamental statistical (eg machine learning) and technological tools (eg cloud platforms, Hadoop) for large-scale data analysis.

The course leverages the world-leading expertise in research at Queen Mary with our strategic partnership with IBM and other leading IT sector companies to offer to students a foundational MSc on the field of Data Science. The MSc modules cover the following aspects:

-Statistical Data Modelling, data visualization and prediction
-Machine Learning techniques for cluster detection, and automated classification
-Big Data Processing techniques for processing massive amounts of data
-Domain-specific techniques for applying Data Science to different domains: Computer Vision, Social Network Analysis, Bio Engineering, Intelligent Sensing and Internet of Things
-Use case-based projects that show the practical application of the skills in real industrial and research scenarios.

Students will be offered lectures that explain the core concepts, techniques and tools required for large-scale data analysis. Laboratory sessions and tutorials will put these elements to practice through the execution of use cases extracted from real domains. Students will also undertake a large project where they will demonstrate the application of Data Science skills in a complex scenario.

The programme is offered by academics from the Networks, Centre for Intelligent Sensing, Risk and Information Management, Computer Vision and Cognitive Science research groups from the School of Electronic Engineering and Computer Science. This is a team of more than 100 researchers (academics, post-docs, research fellows and PhD students), performing world leading research in the fields of Intelligent Sensing, Network Analytics, Big Data Processing platforms, Machine Learning for Multimedia Pattern Recognition, Social Network Analysis, and Multimedia Indexing.

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Top archaeological researchers and heritage professionals use a raft of computational methods including GIS, data mining, web science, ABM, point-process modelling and network analysis. Read more
Top archaeological researchers and heritage professionals use a raft of computational methods including GIS, data mining, web science, ABM, point-process modelling and network analysis. To impress employers you need the flexibility to learn on the job, leverage open data and program open source software. This MSc draws on UCL's unparalleled concentration of expertise to equip you for future research or significantly enhance your employability.

Degree information

Students learn about a wide range of concepts that underpin computational approaches to archaeology and human history. Students become proficient in the archaeological application of both commercial and open source GIS software and learn other practical skills such as programming, data-mining, advanced spatial analysis with R, and agent-based simulation.

Students undertake modules to the value of 180 credits.

The programme consists of four core modules (60 credits), two optional modules (30 credits) and a research dissertation (90 credits).

Core modules
-Archaeological Data Science
-Complexity, Space and Human History

Optional modules
-Agent-based Modelling of Human History
-Exploratory Data Analysis in Archaeology
-GIS Approaches to Past Landscapes
-GIS in Archaeology and History
-Remote Sensing
-Spatial Statistics, Network Analysis and Human History
-The Archaeology of Complex Urban Sites: Analytical and Interpretative Technology
-Web and Mobile GIS (by arrangement with the UCL Department of Civil and Geomatic Engineering
-Other options available within the UCL Institute of Archaeology

Dissertation/report
All students undertake an independent research project which culminates in a dissertation of 15,000 words.

Teaching and learning
The programme is delivered through lectures, tutorials and practical sessions. Careful provision is made to facilitate remote access to software, tutorials, datasets and readings through a combination of dedicated websites and virtual learning environments. Assessment is through essays, practical components, project reports and portfolio, and the research dissertation.

Careers

Approximately one third of graduates of the programme have gone on to do PhDs at universities such as Cambridge, Leiden, McGill, Thessaloniki and Washington State. Of these, some continue to pursue GIS and/or spatial analysis techniques as a core research interest, while others use the skills and inferential rigour they acquired during their Master's as a platform for more wide-ranging doctoral research. Other graduates have gone to work in a range of archaeological and non-archaeological organisations worldwide. These include specialist careers in national governmental or heritage organisations, commercial archaeological units, planning departments, utility companies and consultancies.

Top career destinations for this degree:
-Database Administrator, Deloitte
-Data Science Analyst, M2M
-Graphical Information Systems (GIS) Technician, BSG Ecology

Employability
This degree offers a considerable range of transferable practical skills as well as instilling a more general inferential rigour which is attractive to almost any potential employer. Graduates will be comfortable with a wide range of web-based, database-led, statistical and cartographic tasks. They will be able to operate both commercial and oper source software, will be able to think clearly about both scientific and humanities-led issues, and will have a demonstrable track record of both individual research and group-based collaboration.

Why study this degree at UCL?

The teaching staff bring together a range and depth of expertise that enables students to develop specialisms including industry-standard and open-source GIS, advanced spatial and temporal statistics, computer simulation, geophysical prospection techniques and digital topographic survey.

Most practical classes are held in the institute's Archaeological Computing and GIS laboratory. This laboratory contains two Linux servers, ten powerful workstations running Microsoft Windows 7, a digitising table and map scanner.

Students benefit from the collaborations we have established with other institutions and GIS specialists in Canada, Germany, Italy and Greece together with several commercial archaeological units in the UK.

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This programme is designed for those who want to pursue a career as data scientists, deriving valuable insights and business relevant information from large amounts of data. Read more
This programme is designed for those who want to pursue a career as data scientists, deriving valuable insights and business relevant information from large amounts of data. You will cover the fundamental statistical (eg machine learning) and technological tools (eg cloud platforms, Hadoop) for large-scale data analysis.

The Big Data science movement is transforming how Internet companies and researchers over the world address traditional problems. Big Data refers to the ability of exploiting the massive amounts of unstructured data that is generated continuously by companies, users, devices, and extract key understanding from it.

A Data Scientist is a highly skilled professional, who is able to combine state of the art computer science techniques for processing massive amounts of data with modern methods of statistical analysis to extract understanding from massive amounts of data and create new services that are based on mining the knowledge behind the data. The job market is currently in shortage of trained professionals with that set of skills, and the demand is expected to increase significantly over the following years.

The course leverages the world-leading expertise in research at Queen Mary with our strategic partnership with IBM and other leading IT sector companies to offer to students a foundational MSc on the field of Data Science. The MSc modules cover the following aspects:

-Statistical Data Modelling, data visualization and prediction
-Machine Learning techniques for cluster detection, and automated classification
-Big Data Processing techniques for processing massive amounts of data
-Domain-specific techniques for applying Data Science to different domains: Computer Vision, Social Network Analysis, Bio-Engineering, Intelligent Sensing and Internet of Things
-Use case-based projects that show the practical application of the skills in real industrial and research scenarios.
-Students will be offered lectures that explain the core concepts, techniques and tools required for large-scale data analysis. -Laboratory sessions and tutorials will put these elements to practice through the execution of use cases extracted from real domains. -Students will also undertake a large project where they will demonstrate the application of Data Science skills in a complex scenario.

The programme is offered by academics from the Networks, Centre for Intelligent Sensing, Risk and Information Management, Computer Vision and Cognitive Science research groups from the School of Electronic Engineering and Computer Science. This is a team of more than 100 researchers (academics, post-docs, research fellows and PhD students), performing world leading research in the fields of Intelligent Sensing, Network Analytics, Big Data Processing platforms, Machine Learning for Multimedia Pattern Recognition, Social Network Analysis, and Multimedia Indexing.

Industrial Experience

The industrial placement currently takes place towards the end of the first year for a maximum of 12 months. It is the student’s responsibility to secure their placement, the school will offer guidance and support in finding and securing the placement but the onus is on the student to secure the job and arrange the details of the placement.

Currently if you are not able to secure a placement by the end of your second semester we will transfer you onto the 1 year FT taught programme without the Industrial Experience, this change would also be applied to any visa if you were here on a student visa.

The industrial placement consists of 8-12 months spent working with an appropriate employer in a role that relates directly to your field of study. The placement is currently undertaken between the taught component and the project. This will provide you with the opportunity to apply the key technical knowledge and skills that you have learnt in your taught modules, and will enable you to gain a better understanding of your own abilities, aptitudes, attitudes and employment potential. The module is only open to students enrolled on a programme of study with integrated placement.

If you do not secure a placement you will be transferred onto the 1 year FT programme.

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What do Facebook, the financial system, Internet or the brain have in common?. All are connected in a network. Read more
What do Facebook, the financial system, Internet or the brain have in common?

All are connected in a network. From the underlying skeleton of social relations, the interdependent evolution of our financial system, to the emergent collective computation in the brain, most of the complex systems that appear in society, technology, and nature are ultimately characterised by a nontrivial pattern of inter-relations. This underlying architecture is in turn shaping how information diffuses and spreads, how resilient the system is against attacks or perturbations, or how complex patterns emerge at the systemic level from the aggregation of seemingly simple individuals.

Our MSc in Network Science will provide a thorough grounding in the core principles of modelling and analysis of complex and networked systems, along with the principal analytical and numerical methodologies. This will open to students a host of career opportunities in systems and networks modelling industries, spanning the IT, financial, and biomedical sectors, that are now requiring such specialist knowledge and skills.

Network Science is a very active and rapidly evolving research field with high societal impact, which stands at the crossroads of graph theory, complexity and data analysis. Addressing the description and modelling of the architecture and dynamics of complex systems -systems composed by many interacting units that show collective behaviour- it stands as a new kind of science to cope with some of the most challenging endeavours we face today, in an ever increasingly more connected society.
Its impact and applications outside academia pervades technological sectors such as communications and infrastructures (Internet, transportation networks, energy networks, urban mobility), biostatistics and network biology (brain modelling, protein interaction networks, postgenomic era), public health (epidemic spreading models), marketing and IT (social media, data analytics) to cite a few. This specialist masters programme aims at providing graduate students and professionals with a rigorous training in the underlying mathematical concepts, the analysis and modelling of complex networks and networked systems, complemented with training in computing, numerical simulations and massive data analysis. It is aimed towards students whose undergraduate degree is in mathematics or a cognate discipline who wish to enter a career involving analysis and optimisation of diverse kinds of networks, networked dynamics and models.

Why study your MSc Network Science at Queen Mary?
This is a pioneering MSc in the UK, a joint programme, taught by our Schools of Mathematical Sciences, and Electronic Engineering and Computer Science, drawing on their strengths in research and teaching in the area of complex networks, mathematical modelling of complex systems, and data mining.

We teach what we know and what we do best. Within the School of Mathematics, the Complex Systems & Networks group is one of the biggest hubs in Network Science within the UK, where we address both fundamental and applied challenges in the mathematical modelling of complex systems with clear societal impact, in collaboration with several industrial stakeholders. Within the School of Electronic Engineering, the Networks group was founded in 1987, and has hugely expanded ever since, bringing their expertise in online social networks, data mining and cloud computing. The coalescence of both groups expertises has fostered the creation of this unique MSc.

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In today's IT-centric business environments, the need for correctly specified, configured and managed computer systems is at the heart of business efficiency and security. Read more

Why take this course?

In today's IT-centric business environments, the need for correctly specified, configured and managed computer systems is at the heart of business efficiency and security.

This course aims to teach you the principles and practice of systems administration and management, including system and network design, analysis, specification, efficiency and security in an ‘Open Systems’ environment.

What will I experience?

On this course you can:

Use our fully equipped multi-platform suites and computer labs to enhance your learning experience
Gain hands-on experience of configuring and optimising secure networks and develop skills in building client, server and middleware aspects of internet applications
Carry out your final project in a workplace environment or relate your topic to a current issue in industry

What opportunities might ti lead to?

This course is accredited by the Institution of Engineering and Technology (IET) and meets the standards set by the Engineering Council in the UK Standard for Professional Engineering Competence (UK-SPEC). It will provide you with some of the underpinning knowledge, understanding and skills for eventual registration as an Incorporated (IEng) or Chartered Engineer (CEng).

Module Details

This course provides a broad understanding of client-facing management techniques within the context of computer network administration. You will study six core topics on this course, followed by an individual project.

Here are the units you will study:

ICT Configuration and Administration: This unit aims to conceptualize and evaluate the theory, methods, and issues involved in installing, configuring and effectively managing a Unix based operating system for networking, as well as a complete virtualized environment.

Client Server Network Architecture: This unit covers client and server network architecture with strong emphasis on internet/web architecture.

Unified Communications: This unit will provide you with an extensive knowledge of the area of Unified Communications (UC) technologies. The emphasis will be on the importance of UC in the business, the selection and deployment of UC and the problems which UC can bring if a correct strategy is not developed for UC.

Data Communications and Networking: The unit provides you with the required foundation and depth of knowledge to comprehensively understand the core principles of data communications and computer network.

Network Design and Management: This unit aims to introduce you to the issues, processes and tools of top-down network design and provide you with awareness of the issues and techniques involved in the management of large scale computer networks.

Communications Security: This unit attempts to follow a systematic and rational engineering approach to help you master challenging topics such as cryptography.

Individual Project: The course ends with a four-month individual project in which you apply your knowledge to a significant communications system or network planning problem. Projects are tailored to your individual interests and may take place in our own laboratories or, by agreement, in industry.

Programme Assessment

You will be taught through a mixture of lectures, tutorials and laboratory sessions in conjunction with implementing your individual project, which can often be linked with industry. In addition, you will need to spend significant time in our electronic, communications and computer laboratories as well as in private study directed by lecturers.

Assessment is geared towards the subject matter in a way that encourages a deeper understanding and allows you to develop your skills. Here’s how we assess your work:

Examinations
Coursework assignments
A laboratory report
A dissertation

Student Destinations

Whether it is an in-house accounting and finance system in an SME or a corporate-wide data system in an international organisation, the role of systems administration is one that ensures integrity of the vital data upon which major business decisions are made.

The management aspect of the administrator's role includes securing suitable investment and commitment from staff so that the systems implemented are used correctly and to their full extent by all in the organisation. Overall, this course is about professional practice in IT at a senior level, where there is a growing need for practitioners who can take strategic IT plans and implement the associated computer and network infrastructures, as well as create appropriate administrative and maintenance structures that are responsive to company needs. Upon graduating you can expect to find roles as system administrators and managers, network designers, IT managers and system consultants.

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With the MSc Business Systems Analysis and Design course at City you can unravel a business system and prepare to work as an analyst within the industry. Read more
With the MSc Business Systems Analysis and Design course at City you can unravel a business system and prepare to work as an analyst within the industry.

Who is it for?

The course is for motivated students who enjoy working within high-pressure environments often to tight deadlines. You will need a good undergraduate degree as well as the tenacity and patience to understand business systems and the ability to adapt to constant change.

Objectives

There is a common misconception in building business systems: that users know their requirements. Often they don’t. This postgraduate Business Systems Analysis programme has been designed to address this problem.

The MSc in Business Systems Analysis and Design is not about developing algorithms and coding. We work with technology but we are not technicians because we know that to become an IT consultant or business analyst, you need to understand the disparate areas that make up the discipline. This is a Masters degree where you will design a business system; in order to do this you will unpick the information infrastructure to find out if the system works.

Analysing a business system is a process that demands constant re-evaluation. By investigating system requirements, considering how information flows through it, and exploring the pitfalls that emerge within user hierarchies, at City we examine the business system as a whole. This approach is essential to respond to rapid business change.

These are some of the questions the course poses:
-What is the right system to address the problem?
-Does the system meet the needs of the business now and will it be able to adapt in the future?
-How is information flowing within the system?
-How will users interact with the system throughout the project life cycle?

Placements

As a student on this programme you can undertake an internship in the July to December period, for up to six months. You can work under a client’s direction for all or part of this time. Many students use the internship as an opportunity to carry out a specific project which forms the context for their final dissertation.

One current student is working within a user experience design company to investigate how scents affect the emotional perception of digital fruit images displayed on a desktop service.

Academic facilities

As a student on the MSc Business Systems Analysis and Design course you will have access to dedicated labs and use specialist software such as SAP. At City we also have access to Microsoft Dynamics ERP software to support the enterprise information system module. Microsoft Dynamics is an industry-based CRM system. As part of the University of London you can also become a member of Senate House Library for free with your student ID card.

Teaching and learning

We provide a diversity of teaching approaches so you get a diversity of learning experiences in the form of traditional lectures, live classroom demonstrations, tutorials, laboratories, and TV studio role-playing. We encourage you to engage with the material in an active way. As a postgraduate student, we expect you to take responsibility for your own learning and use non-timetabled hours for your own private study or group interactions.

You will be assessed in a variety of ways from coursework and laboratory work to presentations, examinations and a project dissertation. By successfully completing eight taught modules and the research project you will be awarded a Master of Science (MSc) degree. All modules in this course are supported by Moodle, City's online learning environment.

The course is available full time (12 months) and part time (up to 28 months - two days a week). The Department is aware that this involves considerable commitment from part-time students, and we try to be as flexible as we can so you can successfully combine your work and study.

By completing eight modules and the dissertation you will be awarded 180 credits and a Masters level qualification. Alternatively, if you do not complete the dissertation but have successfully completed the eight modules, you will be awarded 120 credits and a postgraduate diploma. If you successfully complete four modules (60 credits) you will be awarded a postgraduate certificate.

Modules

There are six core modules and four electives from which you can choose two topics. Practical work is emphasised throughout the degree programme to develop your understanding and skills, which is strengthened by interactive teamwork. The course has an excellent track record in producing employable hybrid IT/business professionals.

In the industry you need to communicate your expertise in lay terms. The modules give you experience in working on group projects so you can manage roles and responsibilities and build a set of professional values. The core content will also give you the ability to set strategies, manage information flows and deal with problems such as overload and risk.

The course develops:
-Skills in business awareness, design and consultancy to facilitate the alignment of IT systems and services to business objectives
-The specialist understanding of theoretical principles in business systems analysis and design.
-Technical skills, through practical laboratory work, so you can apply your knowledge of IT and how it affects business competitiveness.

The course will give you specialist knowledge ranging from business systems requirements analysis and design, software systems engineering, data modelling to business intelligence, project management and business engineering with ERP solutions.

Core modules
-Business engineering with ERP solutions INM342 (15 credits)
-Business intelligence & analytics INM451 (15 credits)
-Practical business systems consultancy INM353 (15 credits)
-Project management INM372 (15 credits)
-Research methods and professional issues INM373 (15 credits)
-Systems specification INM312 (15 credits)

Elective modules - choose from one module in the first term from the following:
-User-centred design INM355 (15 credits)
-Information and knowledge management INM351 (15 credits)

Choose from one module in the second term from the following:*
-Databases INM343 (15 credits)
-Information Retrieval (IR) INM351 (15 credits)

*Note: Databases is compulsory for students who do not have prior knowledge at the discretion of the programme director.

Career prospects

As a City graduate you leave with front-line knowledge. With insight from major areas of research including software engineering, human-computer interaction and artificial intelligence, you will be able to assimilate your skills within the industry and offer a future-focused mindset.

From Unilever to HMV and from Accenture to ITN, City graduates are employed across sectors in consultancy companies, software houses, the public services, telecommunications, multinational manufacturers, and large retailers. The programme will help you build a strong peer network as well as a solid network of contacts for your continued career development.

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This innovative course offers both MSc and MA streams. It has been designed to develop your ability to apply economic analysis to policy issues and business problems, which are often ambiguous and multi-faceted. Read more
This innovative course offers both MSc and MA streams. It has been designed to develop your ability to apply economic analysis to policy issues and business problems, which are often ambiguous and multi-faceted. Although there is a strong theoretical core, the course focus of the course is very much on the practical application of economic techniques to problems, and on developing the ability to communicate the insights that economic analysis can provide.

The course has been created in conjunction with the Government Economic Service (GES) – a major employer of economics graduates in the UK. The University of Westminster is the only English university to have secured GES recommended status for a postgraduate course in economics.

The course aims to provide you with an in-depth knowledge and understanding of the latest developments in economics, with a focus on practical skills and development of the skills needed by a working economist. It is specifically aimed at those with a genuine interest in the application of economics to real-world situations.

As well as enhancing your ability to apply relevant economic principles in the support of policy and strategy development, the course aims to develop your ability to communicate complex issues to wide audiences, your awareness of significant sources of economic and financial data, the problems faced when carrying out policy evaluation and your capability for self-awareness and group working.

Course content

You will gain an understanding of the key concepts in economics that underpin public sector policy and business decision making. This includes the various scenarios where we explore opportunity cost, equilibrium and disequilibrium, strategic interaction, market failure and the related concept of externalities.

You'll develop your analytical skills by applying these concepts to current challenges that face the profession, at both macro and micro levels, and in both private and public sectors. This will provide you with the latest insights drawn from both the academic and practitioner arenas.

Around a common core of modules covering key theoretical and practical elements, the MSc stream offers the possibility of pursuing a course of study in economics with a greater quantitative focus, while the MA stream has a stronger international emphasis.

Students on this course benefit from free access to part of the material on the course reading list and an online subscription to Financial Times. In addition, you will get exposure to a global network of professional economists through a free student membership to the Society of Business Economists.

Modules

The following modules are indicative of what you will study on this course. For more details on course structure and modules, and how you will be taught and assessed, see the full course document.

Core modules
-Economic Evaluation Project
-Macroeconomic Analysis and Policy
-Microeconomic Analysis and Policy
-Research Methods
-Strategy and Appraisal in Economics
-Data Analysis
-Economic Policy Perspectives

Option modules
-Innovation Economics
-Labour Economics

Accredited internship

All students on our full-time business Masters courses can apply to undertake the PG/MBA Internship Programme Reflective Practitioner Module. This is an 8 week unpaid accredited internship, which can be taken in addition to option modules and will help students to gain invaluable work experience. The internships, which are with London-based organisations, take place during the summer period. To apply, students must submit a completed application form and a copy of their updated CV to the Business Experience Team; the team then shortlist from the applications and conduct group meetings with the applicants.

Ultimately it is up to our internship employers to decide whether they would like to interview the candidate(s) and offer him/her an internship. We have received very positive feedback from both postgraduate students and employers and expect that the internship programme will continue to remain popular amongst our students.

Careers

Our dedicated Career Development Centre is actively working with an ever-expanding network of over 3,000 employers to provide you with exceptional employability support and guidance. As a result we were nominated as finalists for a significant industry award – the NUE Awards Most Improved Commitment to Employability 2016.

We provide our students with work placements and international opportunities to support them in becoming highly employable, globally engaged graduates, and with one million businesses operating within 20 miles of the University of Westminster, over 84% of our students are in work or further study six months after graduation. Our graduates work in a variety of sectors and organisations, from small/medium-sized companies and start-ups to large not-for-profit organisations and corporates.

During your time at Westminster you will be able to use our comprehensive online vacancy service and meet with our experienced careers consultants, providing you with thorough training and support on CV writing, application forms, interview preparation and assessment centres.

In addition to this, you will receive careers support from academic staff and faculty work placement teams, offering targeted course-specific careers advice and assistance in securing a work placement during your time at Westminster.

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Our MSc Data Networks and Security course will provide opportunities for you to engage in the design and implementation of secured and optimized communication network solutions, including SDN (Software Defined Networks and wireless technologies. Read more
Our MSc Data Networks and Security course will provide opportunities for you to engage in the design and implementation of secured and optimized communication network solutions, including SDN (Software Defined Networks and wireless technologies.

This will be achieved by industry-led, research-informed, practice-based teaching and learning. Using industry-standard resources, you will apply the skills and knowledge gained to real-life project scenarios across industry, commerce and public sector.

The programme of study will include areas such as requirements capture, network design, evaluation, securing and optimisation, ranging from hardware configuration to protocol analysis and software definition. The programme will include research and scholarly activity in order to incorporate the latest thinking into the proposed solution.

What's covered in the course?

On this course, you will learn to:
-Critically evaluate and apply knowledge of advanced routing principles.
-Evaluate and apply advanced routing protocols for specific networking solutions.
-Evaluate a variety of routing techniques for a given network environment.
-Critically evaluate routing policy requirements for a network.
-Design and implement ethernet-based LANs. Ensuring security within the given environment.
-Apply mathematical analysis to use VLSM efficiently.
-Apply security considerations to the design and management of networks.
-Design/plan and implement LAN/WAN solutions which require switched hybrid.
-Critically assess SDN solutions in both the industry and research domains.
-Design an SDN-based network for a given system, identifying appropriate components and network structure.
-Implement an appropriate SDN controller to manage device configuration, and any other relevant network policies within an SDN network.
-Select, plan and implement an appropriate testing strategy to validate security requirements against a threat model.
-Critically evaluate the requirements for penetration testing, ethical hacking and effectively communicate security audit results to a variety of audiences.
-Design and conduct security assessment experiments to expose security vulnerabilities and to interpret, analyse and critically evaluate the resulting data to recommend remedial actions.
-Critically appraise the role of security testing within the wider context of continuous security improvements to the information assurance processes within the organisation.

Why choose us?

-The Centre for Cloud Computing houses the Cisco Networking Academy, which has an international reputation for delivering high-quality teaching, training and support acrossEurope, the Middle East and Africa.
-In six purpose-built rooms, the Centre also houses £500,000 of computer networking and communications equipment, together with more than £200,000 of web-based equipment and bookable resources.
-The course provides opportunities for you to engage in advanced studies using problem-based learning and flipped curricula strategies. You will work in groups and on your own to deliver solutions to industry-related problems and scenarios.
-The unique combination of employer-led, research-informed technical knowledge and practical experience on industry-standard resources makes our graduates more employable and sought after.
-The course encourages critical thinking and problem solving, giving you the opportunities for research.

Course in depth

All the modules are practice-based and learning is carried out in the labs. Each 20-credit module will have two hours contact, and you are expected to undertake approximately six additional hours of learning, research and assessment preparation for each module.

Assessment is carried out through presentations (both group and individual), timed tests and exams, written reports, research activity and publication of findings, and practical-based time assessments.

At the start of the course, there will be a three-week, full-time induction tool kit, comprising of a review of CCNA and associated technologies.

The course also provides the base knowledge for students to undertake the CCNA certification, and with an additional boot camp to undertake the individual CCNP certification exams.

Modules
-Information Security 20 credits
-Software Defined Network Engineering 20 credits
-Advanced Networking Systems 20 credits
-Network Management 20 credits
-Advanced Ethical Hacking 20 credits
-Research Methods 20 credits
-Project and placement 60 credits

Enhancing your employability skills

The University is eager to recognise students have made the effort to gain industry experience and stand out from the typical graduate. Thus, we offer a range of options for you to get extra awards and recognition for your work in industry.

We also have our Graduate+ programme, an extracurricular awards framework that is designed to augment the subject-based skills that you’ve developed throughout the programme with broader employability attributes, which will enhance your employability options upon graduating.

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Computer security is one of the key challenges in contemporary computing. You will gain critical knowledge within the cyber security and digital forensic domains, combining academic principles and industrial practice. Read more
Computer security is one of the key challenges in contemporary computing. You will gain critical knowledge within the cyber security and digital forensic domains, combining academic principles and industrial practice. The course is informed by current research in security and digital forensics, and is underpinned by our experience with external partners in law enforcement, financial institutions, and other knowledge transfer activities. Course specialisms include network security, penetration testing, incident response, malware analysis, cryptography, audit and compliance, and host and mobile digital forensics. The specialisation you gain in the taught modules is further developed through an extensive research-based MSc dissertation project, leading towards a mastery of a subject area and enhancing your particular specialism.

This MSc is also one of a very small number of courses certified by GCHQ, recognising UK universities which are excellent in Cyber Security.

What you’ll learn

This course focuses on the areas of securing computer, network and communications systems, incident response, and the forensic investigation of digital devices and networks. Computer security is a growth industry, and is vital in modern computing environments. You will gain foundation knowledge in all the key areas of computing cyber security, both defensive and offensive, as well as post incident response. The digital forensic aspects of the course include network and computer forensics, allowing you to develop the knowledge required to conduct computer-related investigations across networks, systems, and other digital devices. Cyber security and digital forensics are becoming significant computing disciplines, with an acknowledged skill shortage coupled with growing employment opportunities.

Our industry informed course combines thorough coverage of academic theory aligned with extensive hands-on practical activities, supported by online and blended materials with virtualised lab environments that complement our on-campus specialist facilities.

The School of Computing has developed close ties with industry, law enforcement, and the public sector, through partnerships with organisations such as Cisco Systems, Guidance Software, Dell Secure Works, NCA, NCC, Police Scotland, and many others. The course benefits from this by including many guest lecturers by industry experts. Through the dedicated cyber security and forensic research group extensive cutting edge research is also carried out in key domains by an ever growing cohort of Phd students. The programme also has an affiliation with The Cyber Academy here at Edinburgh Napier, which integrates formally with a range of international initiatives including into a European Centre of Excellence, along with the EU-funded DFET project, which is building a world class virtualised infrastructure for Cyber Security teaching and training, with strong links into law enforcement industry and academia across the World.

Modules

• Host-Based Forensics
• Network Security
• Security Audit and Compliance
• e-Security
• Incident Response and Malware Analysis
• Computer Penetration Testing
• Dissertation

Study modules mentioned above are indicative only. Some changes may occur between now and the time that you study.

Careers

The continued growth in the current requirement for cyber security and digital forensics professionals means there are a wide range of careers which can be followed after graduating from the course, such as security consultant/analyst, penetration tester, network security analyst, forensic investigator, audit/compliance consultant, security certification engineer, incident response analyst, cisco security engineer/architect, sys admin, network engineer.

The programme develops a range of key skills currently needed in industry, covering areas such as network security, penetration testing, security monitoring, incident response, malware analysis, operating systems, network and computer forensics, virtualisation and malware analysis. Materials from many professional courses are integrated into the curriculum, towards helping students prepare for sought after professional certification such as Cisco Security Certifications, CISSP, and CREST.

Study mode

This is a full-time course studied over one year. It requires an intensive period of study, involving lectures, tutorials, laboratory sessions and independent study.As a full-time student you'll take three 20 credit modules per trimester for the first two trimesters, and then complete a Project.
http://www.napier.ac.uk/courses/msc-advanced-security-and-digital-forensics-postgraduate-fulltime

This course is also available part-time, with one or two modules studied per trimester.
http://www.napier.ac.uk/courses/msc-advanced-security-and-digital-forensics-postgraduate-parttime

This course is also available distance learning , with one or two modules studied per trimester.
http://www.napier.ac.uk/courses/msc-advanced-security-and-digital-forensics-postgraduate-distance-learning-part-time

How to apply

http://www.napier.ac.uk/study-with-us/postgraduate/how-to-apply

Fees and Funding

We have lots of funding options available such as the postgraduate tuition fee loan for Scottish & EU students, specifics scholarships for students from North or South America, Asia and Africa, as well as bursaries & grants for those closer to home in England, Northern Ireland and Wales.

Please see our website for up-to-date information about fee and funding and what you could be eligible for.
http://www.napier.ac.uk/study-with-us/postgraduate/fees-and-funding

Nothing should get in the way of furthering your education. Student Awards Agency Scotland (SAAS) awards funding for postgraduate courses, and could provide the help you need to continue your studies. Find out more: http://www.napier.ac.uk/study-with-us/postgraduate/fees-and-funding/saas-funded-courses

Information for International Students

For applications whose first language is not English, the following is generally required: minimum IELTS 6.0, with no individual component score of less than 5.5 or equivalent. We also offer a range of pre-sessional English language courses to help you meet the English language requirement prior to starting your masters programme. Please see our website for up-to-date information.
http://www.napier.ac.uk/study-with-us/international-students/english-language/english-language-requirements

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The award will provide the knowledge of the latest cyber security principles, practices, tools and techniques, taught by a team of specialist staff in purpose-built cyber security laboratories. Read more
The award will provide the knowledge of the latest cyber security principles, practices, tools and techniques, taught by a team of specialist staff in purpose-built cyber security laboratories. Graduates will be Cyber-operators, able to use ‘information’ as a defensive or offensive weapon.

Today, Cyber-Operators are required to have an ‘enriched’ background drawing elements of practical experience from fields as diverse as sociology, psychology, networks and network security, computer science and computer security, information management and information security, software engineering and reverse engineering, and of course, the law.

We have a diverse number of placements with companies from the security industry, high tech crime units and government organisations.

In January 2014 Staffordshire University announced exciting plans to create one main city campus in Stoke-on-Trent. This is to confirm this course will move from our Stafford Campus to Stoke-on-Trent Campus from Summer 2016.

Course content

Throughout the course you will be invited to attend guest lectures delivering workshops and conducting seminars with the students. Our visiting tutors are national and international security experts.

You will also have an opportunity in achieving industry recognised certification in Certified Ethical hacking.

Our purpose-built state of the art security laboratory offers each student a unique experience in enhancing your skills and knowledge in Cyber Security. As a result of winning a recent £5 million STEM bid, you will benefit from state of the art hardware resources, which will enhance your learning.

You will gain:
-Sound understanding of the computer science.
-Sound understanding of TCP-IP networks, the TCP-IP suite and its supporting protocols.
-Sound understanding and practical knowledge of digital forensics incidence response.
-Understanding and practical knowledge of managing information at all levels.
-Practical knowledge of the different types of computer crime.
-Ability to use with competency cyber-security toolkits.
-Ability to follow strict policies and procedures with meticulous record keeping.
-Good understanding of people and their motivational catalysts.
-Knowledge of evidence law and legal procedures.
-Ability to write reports on technical issues in a non-technical manner.
-Ability to address large audiences in a formal manner and affect their decision making process.

Core Modules
-Computer Security – Low Level
-Cyber Operations
-Malware analysis and Reverse Engineering
-Research Methods
-Operating Systems Security
-Digital Forensics & Incidence Response

Option Modules*
-Network Security with CISCO
-Network Security
-Penetration Testing
-Computer Security – High Level

*If you have CCNA certification (or an equivalent CISCO background), there will be the option of doing Network Security with the CISCO curriculum. Those of you who are not CCNA certified (or without an equivalent CISCO background), will do a less practical module of similar learning outcomes. After Teaching Block 2 you will have an option, again based on your prior knowledge on ethical hacking (and/or background, qualifications), for doing either Computer Security – High Level, which focuses on ethical hacking, or a more technical module on Penetration Testing.

Graduate destinations

The award will provide you with the knowledge of the latest cyber security principles, practices, tools and techniques, taught by a team of specialist staff in purpose-built cyber security laboratories. Graduates will be Cyber-operators, equipped with the skills to work in the security industry.

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The course provides an opportunity to develop the skills suitable for a career in Computing with specialist subjects network management, routing and switching taught by Cisco-accredited trainers in our state-of-the art Networking labs. Read more
The course provides an opportunity to develop the skills suitable for a career in Computing with specialist subjects network management, routing and switching taught by Cisco-accredited trainers in our state-of-the art Networking labs.

It allows those who wish to apply their knowledge and expertise in a technical environment to develop the computing and network management skills needed to match software solutions to the needs of business. The course is suitable for graduates wishing to transition into an IT career from other disciplines, as well as for candidates wishing to extend their existing IT experience with a formal Computing qualification.

You will learn how to design, implement and manage computer networks, as well as to develop software, database systems, and web applications. In addition, you will acquire the research and development skills required to undertake a sustained piece of network management or software development project work. The course is designed to provide the core knowledge and skills required to work in industry, using network configuration, analysis, troubleshooting and diagnosis tools as well as software development tools and techniques.

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