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Masters Degrees (Data Security)

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Big Data and Data Engineering. Big data has turned out to have giant potential, but poses major challenges at the same time. On the one hand, big data is driving the next stage of technological innovation and scientific discovery. Read more

Big Data and Data Engineering

Big data has turned out to have giant potential, but poses major challenges at the same time. On the one hand, big data is driving the next stage of technological innovation and scientific discovery. Accordingly, big data has been called the “gold” of the digital revolution and the information age. On the other hand, the global volume of data is growing at a pace which seems to be hard to control. In this light, it has been noted that we are “drowning in a sea of data”.

Faced with these prospects and risks, the world requires a new generation of data specialists. Data engineering is an emerging profession concerned with big data approaches to data acquisition, data management and data analysis. Providing you with up-to-date knowledge and cutting-edge computational tools, data engineering has everything that it takes to master the era of big data.

Program Features

The Data Engineering program is located at Jacobs University, a private and international English-language academic institution in Bremen, Germany. The two-year program offers a fascinating and profound insight into the foundations, methods and technologies of big data. Students take a tailor-made curriculum comprising lectures, tutorials, laboratory trainings and hands-on projects. Embedded into a vibrant academic context, the program is taught by renowned experts. In a unique setting, students also team up with industry professionals in selected courses. Core components of the program and areas of specialization include:

- The Big Data Challenge

- Data Analytics

- Big Data Bases and Cloud Services

- Principles of Statistical Modeling

- Data Acquisition Technologies

- Big Data Management

- Machine Learning

- Semantic Web and Internet of Things

- Data Visualization and Image Processing

- Document Analysis

- Internet Security and Privacy

- Legal Aspects of Data Engineering and Data Ethics

For more details on the Data Engineering curriculum, please visit the program website at http://www.jacobs-university.de/data-engineering.

Career Options

Demand for data engineers is massive – in industry, commerce and the public sector. From IT to finance, from automotive to oil and gas, from health to retail: companies and institutions in almost every domain need experts for data acquisition, data management and data analysis. With an MSc degree in Data Engineering, you will excel in this most exciting and rewarding field with very attractive salaries. Likewise, an MSc degree in Data Engineering allows you to move on to a PhD and to a career in science an research.

Application and Admission

The Data Engineering program starts in the first week of September every year. Please visit http://www.jacobs-university.de/graduate-admission or use the contact form to request details on how to apply. We are looking forward to receiving your inquiry.

Scholarships and Funding Options

All applicants are automatically considered for merit-based scholarships of up to € 12,000 per year. Depending on availability, additional scholarships sponsored by external partners are offered to highly gifted students. Moreover, each admitted candidate may request an individual financial package offer with attractive funding options. Please visit http://www.jacobs-university.de/study/graduate/fees-finances to learn more.

Campus Life and Accommodation

Jacobs University’s green and tree-shaded campus provides much more than buildings for teaching and research. It is home to an intercultural community which is unprecedented in Europe. A Student Activities Center, various sports facilities, a music studio, a student-run café/bar, concert venues and our Interfaith House ensure that you will always have something interesting to do. In addition, Jacobs University offers accommodation for graduate students on or off campus.



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IN BRIEF. Study a course that is unique in the UK and has been specifically developed to meet the skills gap. Course content can be applied to very diverse fields- there are many job opportunities in this area. Read more

IN BRIEF:

  • Study a course that is unique in the UK and has been specifically developed to meet the skills gap. Course content can be applied to very diverse fields- there are many job opportunities in this area.
  • Gain SAS certification.
  • Learn to tell a story from data. Become immersed in Big Data techniques and platforms, working with real-world messy data to gain experience across the data science stack.
  • Part-time study option
  • International students can apply

COURSE SUMMARY

Have you ever wanted to ‘Mung’ data? Apply Machine Learning techniques? Search for hidden patterns? Be part of Big Data?      

This course is your opportunity to specialize as a Data Scientist, one of the most in demand roles across all sectors including health, retail, and energy. Companies such as Google and Microsoft, and also public organisations such as the NHS are struggling to fill their vacancies in this field due to    a  lack of suitably qualified people. This course is unique in the UK in that it has been developed as a MSc conversion course – if you have a good honours degree in any discipline with a demonstrable mathematical aptitude, an enquiring mind, a practical and analytical approach to problem solving,    and  an ambition for a career in data science; then this course is for you.    

During your time with us, you will develop an awareness of the latest developments in the fields of Data Science and Big Data including advanced databases, data mining and big data tools such as Hadoop. You will also gain substantial knowledge and skills with the SAS business intelligence software suite  due  to    the  partnership of the University with the SAS Student Academy.  

"We are especially pleased to endorse the new MSc in Data Science. With the explosion of interest and investment in data science teams, our customers cannot get enough graduates with SAS-based analytical skills. Courses such as this new MSc are an important step forward by the University to addressing this skills shortage, especially amongst home students." - SAS

COURSE DETAILS

This course covers a very comprehensive range of topics split in to four large modules worth 30 credits each plus the MSc Project worth 60 credits. External speakers from blue-chip and local companies will give seminars to complement your learning, that will be real-world case studies related to the subjects you are studying in your modules. These are designed to improve the breadth of your learning and could lead to ideas that you can develop for your MSc Project.

TEACHING

The course is focused around the underpinning knowledge and practical skills needed for employment within the data sciences industry. There will be 22 hours of lectures; 11 hours of tutorials and 22 hours workshops; 2 hours of examination-based assessment; and 245 hours of independent study, assessed coursework and preparation for examination. This makes a total of 300 hours total learning experience.

  • Lectures will be used to introduce ideas, and to stimulate group discussions.
  • Tutorials will be used to develop problem solving strategies and to provide practice and feedback with scenarios to help with exam preparation.
  • Workshops will be used to develop expertise in SAS tools, by analysing example datasets of increasing complexity.

ASSESSMENT

  • 50% of the assessment will comprise a practical project where students will be given some data, will devise and carry out an analysis strategy and will present their interpretations and explain their strategy. 
  • 50% will comprise an examination, which will assess more theoretical aspects of the course and will explore students’ immediate response to unseen scenarios or data.

CAREER PROSPECTS

A recent report by e-Skills and SAS (Big Data Analytics: An assessment of the demand for labour and skills, 2012-1017) indicates the demand forecast for staff with big data skills is predicted to ”rise by 92% between 2012 and 2017, and by 2017 there will be at least 28,000 job openings for big data staff in the UK each year…”

With this qualification, you’ll be equipped with the skill set and technical knowledge relevant for the data science and big data job market.

FURTHER STUDY

The Informatics Research Centre in the School of Computing, Science and Engineering at the University of Salford builds on the history, success and achievements of the research in Computer Science and Information Systems developed at the University of Salford over the last thirty years.

Evolving around Data and Information in all their types and usages, the Centre covers all phases and processes from data pre-processing to engineering and visualisation. The Centre is developing novel methods and systems for the analysis and recognition of various data sets, learning behaviours and causal models. The techniques and systems developed have a wide range of potential applications including digitisation of historical documents, medical diagnosis, semantic tagging, segmentation of types of viewers and their behaviours, text mining and retrieval and data visualisation.

Forensic computing, digital investigation and Cyber security is another area of expertise supported by the centre both at the theoretical and application levels.

Many students go on to further research in the fields of:

  • Actionable Knowledge Discovery and Semantic Web
  • Software Engineering and applications
  • Big Data, Data Mining and Analytics
  • Image and document processing and analysis
  • Cyber Security and Forensics
  • Information visualisation and virtual environments

FACILITIES

Facilities include a new Dell Cloud Computing platform with OpenStack and lab workstations, providing access to software platforms and languages specialized in Machine Learning, Data Mining, Statistical Analysis and Big Data including:

  • R, SAS Enterprise Guide & Miner, Python, Apache Hadoop & Spark, RapidMiner
  • NoSQL databases ie MongoDB


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This Masters course provides you with the professional skills for practising Cyber Security in the Digital World. The course is designed for those who wish to extend their capability for an accelerated early career in cyber/information security. Read more
This Masters course provides you with the professional skills for practising Cyber Security in the Digital World.

Who is it for?

The course is designed for those who wish to extend their capability for an accelerated early career in cyber/information security. It will prepare you for a successful career in the various roles directly and indirectly connected to the world of computer, network and information security.

The course would suit students who have completed a first degree in a computing subject (e.g. computer science, business computing) or a numerate subject (e.g. applied mathematics, engineering, physics) if that covered a significant computing component.

Objectives

The primary objective of MSc Cyber Security is to practise security with an interdisciplinary shared coursework that spans across all security related modules.
-In semester 1, you become an ethical hacker. You are challenged to identify flaws in computer system by breaking its crypto components and retrieve sensitive information of an e-commerce company.
-In semester 2 you become an investigator. You are challenged to analyse network traffic, logs and detect attacks in a company's network. It is essential to trace hackers and bring them to justice with concrete proofs and reporting.

Academic facilities

The Department of Computer Science has invested in the design and implementation of a virtual laboratory (CybSec) for the purpose and needs of the cyber security course. In particular, CybSec is a virtual networked lab where hacking, penetration testing, malware analysis, security monitoring are taking place in a controlled and isolated environment without violating City's IT Policy. In addition, the security analysis of practical cryptosystems requires high computational power and resources that are used for code breaking. CybSec lab supports our teaching efforts and enhances our research strengths.

Placements

You will be offered the opportunity to complete up to six months of professional experience as part of your degree.

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

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

The Cyber Security programme also offers internships in collaboration with our alliance of companies in security related jobs.

Teaching and learning

The MSc in Cyber Security is a one year full-time course. On completion of eight taught modules and an individual project you will be awarded a Master of Science (MSc) degree.

The teaching and learning methods used are such that the levels of both specialisation of content and autonomy of learning increase as you progress through the programme. This progress will be guided by active researchers in cyber security, culminating in an individual project, an original piece of research, conducted largely independently with appropriate academic supervision.

The standard format is that taught modules are delivered through a series of 20 hours of lectures and 10 hours of tutorials/laboratory sessions.

Lectures are normally used to:
-Present and explain the theoretical concepts underpinning a particular subject
-Highlight the most significant aspects of a module's syllabus
-Indicate additional topics and resources for private study.

Tutorials are used to help you develop skills in applying the concepts covered in the lectures of the relevant module, normally in practical problem solving contexts. Laboratory sessions serve a similar purpose as the tutorials but their strategy is to demonstrate application of concepts and techniques through the use of state-of-the-art software development tools and environments.

You will be expected to undertake independent study and do substantial coursework assignments for each module, amounting approximately to 120 hours per module. The coursework takes many forms, including programs, theoretical work, and essays, and is primarily formative, but also contributes to module assessment.

Coursework will be used in a coherent manner across all of the security specific modules to ensure that you will also get appropriate hands-on operational experience of relevant aspects of cyber-security, including testing and analysis. Some of this course work may be organised in ways that shadow larger scale exercises, such as the Cyber-Security Challenge. The individual project (full-time) is carried out over the summer period, and if done without a placement, lasts approximately 14 weeks or 600 hours. If undertaken within an industrial or research placement, the project period extends to up to six months.

Modules

This course covers core areas of masters level computer science, such as research methods and scientific presentation and analysis skills.

It will enable you to specialise in some aspects of the area of cyber security with modules such as cryptography, network security, information security management, security audit and certification. You will engage with researchers to develop your scientific knowledge and skills. We offer options within the programme that allows you to develop your expertise in cyber crime, digital forensics, socio-technical aspects of security.

There are in total eight taught modules; six core and two elective modules with a full time individual project completed over the summer. You will choose electives to tailor the programme to your chosen career path.

In particular, the project component gives you an opportunity to carry out an extended piece of work at the cutting edge of games technology under the supervision of one of our specialist academic and research staff. Internship-based projects are also available.

Core modules
-Information security management
-Network security
-Security auditing and certification
-Cryptography
-Readings in Computer Science
-Research methods and professional issues
-Individual project (June to September or December)

Elective modules
-Digital forensics
-Cyber crime
-Sociotechnical systems security
-Advanced algorithms and data structures
-Data visualisation

Career prospects

MSc Cyber Security will prepare you for a successful career in the various roles directly and indirectly connected to the world of computer, network and information security. It will develop your specialist analytical, operational and development skills in both technical and socio-technical areas of cyber security.

The course is designed for those who wish to extend their capability for an accelerated early career in cyber security.

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The Information Security MSc offers a specialist programme designed to provide a fundamental understanding of information security and to convey practical engineering skills. Read more

The Information Security MSc offers a specialist programme designed to provide a fundamental understanding of information security and to convey practical engineering skills. There are good prospects for highly trained information security professionals and there is a shortage of trained personnel in this area.

About this degree

Students develop an advanced knowledge of information security and an awareness of the context in which information security operates in terms of safety, environmental, social and economic aspects. They gain a wide range of intellectual, practical and transferable skills, enabling them to develop a flexible professional career in IT.

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 project (60 credits).

Core modules

  • Computer Security I (15 credits)
  • Computer Security II (15 credits)
  • Introduction to Cryptography (15 credits)
  • Research in Information Security (15 credits)

Optional modules

Students choose 60 credits from the following:

  • Applied Cryptography (15 credits)
  • Cryptanalysis (15 credits)
  • Cybercrime (15 credits)
  • Distributed Systems and Security (15 credits)
  • Information Security Management (15 credits)
  • Language Based Security (15 credits)
  • Malware (15 credits)
  • People and Security (15 credits)
  • Philosophy, Politics and Economics of Security and Privacy (15 credits)
  • Privacy Enhancing Technologies (15 credits)

Please note: the availability and delivery of optional modules may vary, depending on your selection.

Dissertation/report

All MSc students undertake an independent research project which culminates in a dissertation (maximum length of 120 pages) and an oral presentation.

Teaching and learning

The programme is delivered through a combination of lectures, seminars, problem classes, tutorials, laboratory classes and projects. Assessment is through written examinations, presentations, vivas, tests, coursework, written reports, formal presentations and the research project.

Further information on modules and degree structure is available on the department website: Information Security MSc

Careers

UCL graduates are keenly sought after by the world's leading organisations. UCL Computer Science graduates are particularly valued as a result of the department's strong international reputation, strong links with industry, and ideal location close to the City of London. Our graduates secure careers in a wide variety of organisations, e.g. with global IT consultancies, as IT analysts with City banks, or as IT specialists within manufacturing industries.

Recent career destinations for this degree

  • Information Security Expert, State Oil Company of Azerbaijan Republic
  • IT Risk and Cyber Security Associate, PwC
  • PhD Research Student in Computer Science, UCL
  • Security Engineer, Morgan Stanley
  • Technical Analyst, The Royal Bank of Scotland (RBS)

Employability

Some of the brightest alumni of the degree go on to careers in academia. The majority of our students take jobs in the software and consultancy industries, usually in a security-related role such as security standards compliance, secure software design or security consultancy. Students have the opportunity to do industrially based projects with companies such as BT and McAfee. The department is recognised as an academic centre of excellence on cyber security and further opportunities to expand both academic and industrial contacts arise through the ACE-CS guest lecture series integrated into the degree.

Careers data is taken from the ‘Destinations of Leavers from Higher Education’ survey undertaken by HESA looking at the destinations of UK and EU students in the 2013–2015 graduating cohorts six months after graduation.

Why study this degree at UCL?

UCL Computer Science is recognised as a world leader in teaching and research.

UCL received the highest percentage (96%) for quality of research in Computer Science and Informatics in the UK's most recent Research Excellence Framework (REF2014).

This MSc is taught by academics who conduct world-leading research, most notably in cryptography and human-centred approaches to security, privacy and trust. Access to industry-led projects and guest lecturers from academia and industry will enhance post-graduation opportunities for careers in security-related research, or employment in cyber security roles. 

UCL's central London location enables students to enjoy the full benefits of life in a vibrant world city with easy access to excellent scientific and cultural centres.

Accreditation

Information Security has been successfully awarded full certification from the National Cyber Security Centre (NCSC). Students who wish to gain the certification with their degree need to choose COMPGA14 Information Security Management as one of their optional modules.

Research Excellence Framework (REF)

The Research Excellence Framework, or REF, is the system for assessing the quality of research in UK higher education institutions. The 2014 REF was carried out by the UK's higher education funding bodies, and the results used to allocate research funding from 2015/16.

The following REF score was awarded to the department: Computer Science

96% rated 4* (‘world-leading’) or 3* (‘internationally excellent’)

Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.



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Your programme of study. There is a lot you can do with data in any organisation. Read more

Your programme of study

There is a lot you can do with data in any organisation. With the increase in technology and IOT plus the 'Big Data' revolution the collation of data and the power it holds to transform organisations, ensure health and safety in difficult to reach places, keep ahead of life cycles, drive change and innovation has huge potential for any organisation. Within the oil and gas and energy sectors and related supply chain the revolution of supply and demand is already happening.

If you already work in data either in the energy sector or other related sectors this programme specialises in its application to the oil and gas sector and it is partnered with Common Data Access Ltd which is a not for profit subsidiary of Oil and Gas UK. It provides data management services to the oil and gas industry. The programme is developed with academics at University of Aberdeen and industrial partners and it covers data protection, governance and quality plus project and data management and legal commercial and security aspects of data management.

The programme develops your key data management requirements working in interdisciplinary teams in the energy industry and is sponsored and input by multinationals within those industries. You can study this programme either on campus full time or part time or online part time from anywhere with an internet connection. The part time delivery is designed to fit around your work and life.

Courses listed for the programme

Campus Delivery

Semester 1

  • Fundamentals of Petroleum Geoscience
  • Petroleum Data Governance
  • Petroleum Data Management Tools and Techniques
  • Petroleum Data Quality Management

Semester 2

  • Reference, Project and Corporate Data Management
  • Petroleum Data Management Tools and Techniques 2
  • Service and Project Management
  • Petroleum Information Security, Entitlements and Obligations

Semester 3

  • Project in Data Management

Online Delivery:

Semester 1

  • Fundamentals of Petroleum Geoscience
  • Petroleum Data Management Tools and Techniques
  • Petroleum Data Governance
  • Petroleum Data Quality Management

Semester 2

  • Reference, Project and Corporate Data Management
  • Service Project Management
  • Petroleum Data Management Tools and Techniques
  • Legal, Commercial and Security Aspects of Petroleum Data Management

Semester 3

  • Project in Petroleum Data Management

Courses listed for the programme

Find out more detail by visiting the programme web page for campus delivery and online delivery

Why study at Aberdeen?

  • The advanced degree provides you with modules from Law, Engineering, Business, Geography, Geology and Computing Science
  • The degree is designed with leading industry organisations
  • University of Aberdeen is in the heart of the energy industry with very close links to major FTSE 100 companies in the city

Where you study

  • University of Aberdeen
  • 30 Months
  • Part Time
  • September start

International Student Fees 2017/2018

Find out about international fees:

Find out more about fees on the programme page

*Please be advised that some programmes also have additional costs.

Scholarships

View all funding options on our funding database via the programme page and the latest postgraduate opportunities

Living in Aberdeen

Find out more about:

  • Your Accommodation
  • Campus Facilities
  • Aberdeen City
  • Student Support
  • Clubs and Societies

Find out more about living in Aberdeen and living costs 

You may also be interested in:



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Course Overview. This masters degree course in Cyber Security is being offered by the School of Computing and Engineering and has been developed in response to a high demand for cyber security professionals with systematic understanding of the principles and technologies underpinning today's IT systems. Read more

Course Overview

This masters degree course in Cyber Security is being offered by the School of Computing and Engineering and has been developed in response to a high demand for cyber security professionals with systematic understanding of the principles and technologies underpinning today's IT systems.

The School of Computing and Engineering has partnered with leaders within the security industry to provide you with a course which will enable you to gain comprehensive knowledge and critical skills in computer security. This course will enable you to pursue a career as a cyber security professional in either the public or the private sector.

Why choose this course?

This course is offered with a 6 months internship. The internship on the course will allow you to gain first hand work experience within the industry, it will enable you to improve and acquire new skills. Throughout the internship you will be encourages to explore various career opportunities, network and work with others as part of a team. It will also enhance your understanding of the world and what constitutes professional practice in the workplace.

In today’s digital world cyber security plays an integral role, people trained in this field are greatly sought after and the course is designed to meet the huge market demand for cyber security professionals. Partnering with leading security industry, this course combines theory and practice, balancing cutting-edge security technologies and solutions with concepts and principles of cyber security.

The course aims to develop your ability to analyse the legal, social, ethical and professional issues involved in the human aspects of cyber security and be guided by the adoption of appropriate professional, ethical and legal practices. 

The course aims to develop your critical skills and techniques to appropriately solve typical cyber security problems, enabling you to choose from a range of security related jobs/roles in a rapidly evolving and diverse environment.

This course provides routes into a diverse range of career opportunities in the information and communications technology (ICT) industry and in organisations that are data and knowledge intensive. Employers require information security officers at all levels including:

  • Chief Information Security Officer
  • Network and Computer Security Engineers
  • Security Managers and Consultants
  • Penetration Testers
  • Cybersecurity Analysts
  • Security Investigators
  • Security Researchers.

You will have access to laboratories and dedicated ICT suites with specialist networks and software as well as excellent resources for study space and meetings.

Modules

  • Fundamentals of Cyber Security
  • Security Management
  • Network and Systems Security
  • Research Methods
  • Learning and Professional Development 
  • Employability Skills and Employment
  • Dissertation

Optional Modules:

  • Distributed Application Development 
  • Mobile Web Component Development 
  • Principles of Project Management 
  • Consultancy and Technical Innovation 
  • Security Operations and Assurance 
  • Data Architecture
  • Knowledge Management

Career and study progression

The security industry includes government and law enforcement as well as providers of equipment and services, such as the:

  • anti-virus, security software vendors (such as McAfee, Kaspersky, Symantec, Sophos)
  • network and computer vendors (such as Cisco, Juniper, Palo Alto, HP, Barracuda)
  • network and service providers (such as British Telecom, Vodafone, Rackspace, Amazon)
  • consultancies (such as KPMG, IBM, Fujitsu, HP)

The School of Computing and Engineering also has a growing research and enterprise culture with thirty PhD students as well as a diversity of research groups.

Outstanding graduates can continue their studies at the level of MPhil and PhD at UWL.

How to apply

Click the following link for information on how to apply to this course.

Scholarships and bursaries

Information about scholarships and bursaries can be found here.



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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.



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Our modern world is witnessing a growth of online data in a variety of forms, including web documents, blogs, social networks, digital libraries and medical records. Read more
Our modern world is witnessing a growth of online data in a variety of forms, including web documents, blogs, social networks, digital libraries and medical records. Much of this data contains valuable information, such as emerging opinions in social networks, search trends from search engines, consumer purchase behaviour, and patterns that emerge from these huge data sources.

The sheer volume of this information means that traditional stand-alone applications are no longer suitable to process and analyse this data. Our course equips you with the knowledge to contribute to this rapidly emerging area.

We give you hands-on experience with various types of large-scale data and information handling, and start by providing you with a solid understanding of the underlying technologies, in particular cloud computing and high-performance computing. You explore areas including:
-Mobile and social application programming
-Human-computer interaction
-Computer vision
-Computer networking
-Computer security

You also obtain practical knowledge of processing textual data on a large scale in order to turn this data into meaningful information, and have the chance to work on projects that are derived from actual industry needs proposed by our industrial partners.

We are ranked Top 10 in the UK in the 2015 Academic Ranking of World Universities, with more than two-thirds of our research rated ‘world-leading’ or ‘internationally excellent (REF 2014).

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

Our expert staff

Today’s computer scientists are creative people who are focused and committed, yet restless and experimental. We are home to many of the world’s top scientists, and our staff are driven by creativity and imagination as well as technical excellence. We are conducting world-leading research in areas such as evolutionary computation, brain-computer interfacing, intelligent inhabited environments and financial forecasting.

Specialist staff working on data analytics include:
-Dr Luca Citi – machine learning, learning from biological signals and data (EEG, etc)
-Dr Adrian Clark – automatic construction of vision systems using machine learning and evaluation of algorithms, data visualisation and augmented reality
-Professor Maria Fasli – analysis of structured/unstructured data, machine learning, adaptation, semantic information extraction, ontologies, data exploration, recommendation technologies
-Professor John Gan – machine learning for data modelling and analysis, dimensionality reduction and feature selection in high-dimensional data space
-Dr Udo Kruschwitz – natural language processing, analysis textual/unstructured data, information retrieval
-Professor Massimo Poesio – cognitive science of language, text mining, computational linguistics
-Professor Edward Tsang – applied AI, constraint satisfaction, computational finance and economics, agent-based simulations

Specialist facilities

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

Your future

Demand for skilled graduates in the areas of big data and data science is growing rapidly in both the public and private sector, and there is a predicted shortage of data scientists with the skills to understand and make commercial decisions based on the analysis of big data.

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

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

Example structure

Postgraduate study is the chance to take your education to the next level. The combination of compulsory and optional modules means our courses help you develop extensive knowledge in your chosen discipline, whilst providing plenty of freedom to pursue your own interests. Our research-led teaching is continually evolving to address the latest challenges and breakthroughs in the field, therefore to ensure your course is as relevant and up-to-date as possible your core module structure may be subject to change.

Big Data and Text Analytics - MSc
-MSc Project and Dissertation
-Information Retrieval
-Cloud Technologies and Systems (optional)
-Group Project
-High Performance Computing
-Machine Learning and Data Mining
-Natural Language Engineering
-Professional Practice and Research Methodology
-Text Analytics
-Advanced Web Technologies (optional)
-Data Science and Decision Making (optional)
-Big-Data for Computational Finance (optional)
-Computer Security (optional)
-Computer Vision (optional)
-Creating and Growing a New Business Venture (optional)
-Mobile & Social Application Programming (optional)

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Our MSc in Cyber Security aims to develop the next generation of industry leaders and address the shortage of cyber security professionals globally. Read more

Aim

Our MSc in Cyber Security aims to develop the next generation of industry leaders and address the shortage of cyber security professionals globally. The emphasis of the MSc is to provide graduates with a comprehensive understanding of the cyber security challenges facing industry and society, today and in the future, and equipping them with the skills necessary to address those challenges.

This taught programme provides a strong foundational education in the core areas of cyber security and offers practical training in key software tools and programs. Applied practical skills will be developed further in specialised projects exploring leading edge issues in cyber security research.

The MSc offers students a syllabus informed by the world-class research in the areas of data, network, media and physical security, being undertaken at Queen's University Belfast's Centre for Secure Information Technologies (CSIT).

CSIT is a GCHQ accredited Academic Centre of Excellence in Cyber Security Research and is the UK's largest university research lab in this field. CSIT is fast developing a reputation as a global innovation hub for cyber security and is influenced throughout by its strong history of commercial engagement with world leading companies including Infosys, Cisco, IBM, Thales, BAE Systems, McAfee, Roke, and Altera.

Programme Content

The MSc in Cyber Security is available in two options, lasting either 1 or 2 years:

The 1-year MSc consists of six taught modules (120 CATS points) and a 4-5 months practical project of a research nature/work placement (60 CATS points).

The 2-year MSc consists of six taught modules (120 CATS points) and a 12 months practical project of a research nature/work placement (60 CATS points).

One compulsory module and a choice of five from seven other modules as listed below:
• Applied Cryptography
• Computer Forensics
• Network Security and Monitoring
• Software Assurance
• Malware
• Media Security
• Intelligent Information Systems
• Ethical & Legal Issues in Cyber Security (Compulsory)

In any given year further specialist topics may be available for selection or listed topics may not be offered.

Assessment

Comprises written examination and coursework/lab work in six modules; and a dissertation on your research project (180 CATS points total).

Opportunities for Careers

Strong Industry Engagement
A key differentiator of our MSc programme will be the opportunity to closely engage with CSIT industry partners. The programme offers an enhanced education experience, including the facilitation of industrial internships and work placements with leading security professionals, as well as other commercially specified projects. Our Scholarships and Work Placements programme offers a significant opportunity for students to enhance career prospects by directly engaging with potential employers.

Opportunities for placements are being provided by the following companies: Austrian Institute of Technology (AIT), Facebook, IBM, McAfee, PwC, RepKnight, Roke, Thales, and United Technologies Research CEntre (UTRC).

Professional Skills Training
Students will be offered a range of personal development and transferable skills training to improve their professional skills and increase their employability. Courses will cover: project management, presentation skills, communication strategies, networking skills, public engagement and entrepreneurship. Invited seminars and special guest lectures from industrial and academic leaders offer students a chance to engage with leaders in the cyber security profession.

Careers
Our graduates have found that holding a prestigious MSc qualification from Queen's (one of the UK's top engineering schools) has significantly enhanced their job opportunities and employment prospects. With demand for cyber security experts growing at 12 times the rate of the overall job market, students can expect their career prospects to be enhanced significantly after graduation.

Our MSc in Cyber Security will prepare graduates for successful careers in secure systems development, security architecture development, network security, data analytics, and right up to board level positions such as Chief Information Security Officer (CISO). Prospects for research and academic career paths in cyber security will also be enhanced by the MSc.

Special Features

Work Placements and Scholarships Programme
A number of scholarships, internships and work placement opportunities will be open to students accepted for enrolment on the MSc in Cyber Security degree programme. These opportunities are being provided on a competitive basis by CSIT's industrial partners and others affiliated with the Work Placements and Scholarships Programme. Once accepted for this masters degree you will be eligible to apply for opportunities made available via the programme.

Funding

A number of scholarships, internships and work placement opportunities will be open to students accepted for enrolment on the MSc in Cyber Security course via our Work Placements and Scholarships Programme.

Scholarship Opportunities:
CSIT Scholarships (x2) – UK/EU
- Open to UK/EU applicants to the 1-year MSc in Cyber Security
- Only students who are graduating in 2014 with an Undergraduate course in relevant discipline areas are eligible to apply
- Scholarships cover fees and a paid summer internship at CSIT
- How to Apply: Eligible students who apply for the 1-year MSc in Cyber Security will automatically be considered for these scholarships.

GREAT Queen’s University Belfast Scholarships (x2) – India
- Open to India students
- Scholarship value: £1500
- For further information and how to apply see:
http://www.qub.ac.uk/home/StudyatQueens/InternationalStudents/InternationalScholarships/GREATQueensUniversityBelfastScholarships-India/

Full details and further announcements about our Scholarships and Work Placements programme are available at http://www.csit.qub.ac.uk/msc

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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.



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The course is designed for computing and non-computing graduates wanting to develop skills and experience in managing data securely in business environments. Read more
The course is designed for computing and non-computing graduates wanting to develop skills and experience in managing data securely in business environments.

It offers a broad overview of information management and security, as well as technical knowledge of networking and security.

It is ideal for those keen on a governance/compliance role, or for roles requiring you to take charge of data management.

Intermediate qualifications available:

• Postgraduate certificate – 60 credits at Masters level
• Postgraduate diploma – 120 credits at Masters level

Visit the website: https://www.beds.ac.uk/howtoapply/courses/postgraduate/next-year/information-management-and-security#about

Course detail

• Study areas including: computer security, data modelling and management, emerging technologies, advanced security countermeasures, professional project management, networking administration and management, information security management and data governance and compliance
• Explore the career opportunities presented by the growth area of information security
• Develop your technical and managerial skills, with valuable experience of managing systems security strategy
• Gain valuable experience and industry links by working on projects for real businesses through our Academic into Business Computing (ABC) centre
• Benefit from a course which qualifies you roles including Information Architect, Data Modeller, Information Business Consultant, in Information Security and Network Management or go on to further study on an MSc by Research, MPhil or PhD.

Why choose this course?

The course is designed for those who want a broad overview of information management and security as well as technical knowledge of networking and security. The course is ideal for those who are looking to take up a governance/compliance role within an organisation, or for those who are looking to take charge of data management.

During the course you will gain skills in programming, computer security, data governance and compliance.

Modules

• Emerging Technologies
• Data Modelling and Management
• Professional Project Management
• Managing Information Systems Strategy and Security Risks
• Networking Administration and Management
• Data Governance and Compliance
• Computer and Network Security
• Ethical Hacking Tools and Techniques
• MSc project – Information Management and Security

Assessment

Throughout your course you will be exposed to a wide variety of assessment techniques including: written examinations, case studies, practical coursework assignments, problem worksheets, presentations and viva- voce (voice) examinations.

This will allow you to apply the knowledge and understanding you have gained during the learning phase, to a variety of challenging and complex practical situations.

Careers

You will gain valuable skills for a career within Information Management and Security as well as those relevant for the wider world of IT and business.

The unit ‘Professional Project Management’ requires you to work in a team to apply a current project management methodology that embraces all of these knowledge areas in an integrated way while going through the stages of planning, execution and project control. You will work as part of a team, take responsibility and make autonomous decisions that impact on the project team performance.

The final project fosters independent and autonomous study. You learn to take up the responsibility of conducting your project, typically derived from your own ideas, in collaboration with a dedicated member of the teaching staff as project supervisor.

Funding

For information on available funding, please follow the link: https://www.beds.ac.uk/howtoapply/money/scholarships/pg

How to apply

For information on how to apply, please follow the link: https://www.beds.ac.uk/howtoapply/course/applicationform

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This programme provides students with the knowledge of cutting-edge methodologies, approaches and skills in the emerging field of data science and big data applications, including advanced software development, systems for big data analytics, statistical data analysis data mining, distributed systems, data privacy and security, and data visualization and exploration. Read more
This programme provides students with the knowledge of cutting-edge methodologies, approaches and skills in the emerging field of data science and big data applications, including advanced software development, systems for big data analytics, statistical data analysis data mining, distributed systems, data privacy and security, and data visualization and exploration.

The programme of study culminates in a dissertation, enabling you to bring what you have learnt together in a significant piece of project work.

In summary, the MSc Big Data Science and Technology offers you the opportunity to build your own path of study - from the advanced computing modules, the extended list of optional modules available, as well as the dissertation - so as to match your specific career aspirations in the area of big data and data science.

For more information on the part time version of this course, please view this web-page: http://www.brad.ac.uk/study/courses/info/big-data-science-and-technology-msc-part-time

Why Bradford?

This programme intends to equip graduates with the cutting-edge knowledge and skills to work in the industry as a Data Scientist, Big Data Architect, or Big Data Analyst.

MSc Big Data Science and Technology provides industry with graduates that are ready and able to develop solutions to address challenges for big data analytics and developing big data systems.

Modules

-Software Development
-Big Data Systems and Analytics
-Information Theory and Data Communication
-Security, Privacy and Data Protection
-Mobile Applications
-Statistical Data Analysis
-Data Mining
-Concurrent and Distributed Systems
-Data visualization
-Dissertation

Career support and prospects

The University is committed to helping students develop and enhance employability and this is an integral part of many programmes. Specialist support is available throughout the course from Career and Employability Services including help to find part-time work while studying, placements, vacation work and graduate vacancies. Students are encouraged to access this support at an early stage and to use the extensive resources on the Careers website.

Discussing options with specialist advisers helps to clarify plans through exploring options and refining skills of job-hunting. In most of our programmes there is direct input by Career Development Advisers into the curriculum or through specially arranged workshops.

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Train to become a data analyst in a growing industry by studying techniques such as data mining, statistical modelling, business intelligence and data visualisation. Read more
Train to become a data analyst in a growing industry by studying techniques such as data mining, statistical modelling, business intelligence and data visualisation. Study on a course which has been developed with direct input from industry experts who will bring real life business case scenarios to you.

More about this course

This specialist advanced course will equip students with the theoretical, technical and practical data analytics competencies required in an area of economic growth. The course curriculum content has been developed with direct input from industry experts and utilises specialist software tools and techniques. Students’ experience of the course will be enriched with exposure to real life business case scenarios brought to them by skilled professionals in industry.

The specialist nature of the course will allow students to explore and experience advanced techniques in data science. Students will acquire practical skills, often first-hand from an external practitioners, preparing them for employment as data analysts. Students will also be trained in the use of software tools and environments currently used by the industry sector. For example, students on this course will have exposure to R and Python programming, IBM SPSS, SAS®, Tableau, Oracle and Hadoop.

A range of assessment methods are used on the course, including written reports, practical and research assignments, demonstrations, presentations, group work and examinations.

Modular structure

The modules listed below are for the academic year 2016/17 and represent the course modules at this time. Modules and module details (including, but not limited to, location and time) are subject to change over time.

Year 1 modules include:
-Data Analysis and Visualization (core, 20 credits)
-Data Mining for Business Intelligence (core, 20 credits)
-Data Modelling and OLAP Techniques for Data Analytics (core, 20 credits)
-MSc Project (core, 60 credits)
-Programming for Data Analytics (core, 20 credits)
-Statistical Modelling and Forecasting (core, 20 credits)
-Financial Mathematics (option, 20 credits)
-Work Related Learning (option, 20 credits)

After the course

On completion of the course graduates will be well equipped to work in some of the fastest growing sectors of the data science and big data industries. The course offers wide-ranging career opportunities in the commercial industry, public and financial services, especially in areas requiring big data analysis such as consumer, healthcare, scientific, financial, security intelligence, business and social sciences.

Job roles include data scientist, data analyst, digital analyst, big data consultant, statistical analyst and data modeller. Graduates will be eligible to work as data analysts or data scientists in a multitude of areas where skills such as R or Python programming, machine learning and statistical modelling, SAS® and SPSS experience, data visualisation and data-driven decision-making are required.

The course also provides an excellent basis for further study for those wishing to pursue a higher-level research degree or embark on an industry-based research career.

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This course is subject to approval. Cybersecurity is a fast developing and exciting subject. There is an unprecedented rise in cybercrime, cyber attacks and cyber threats to individuals, businesses and society. Read more
This course is subject to approval.

Cybersecurity is a fast developing and exciting subject. There is an unprecedented rise in cybercrime, cyber attacks and cyber threats to individuals, businesses and society. Resilient cybersecurity systems and infrastructures attempt to prevent attack and protect individuals and businesses from such attacks.

Course overview

This newly developed Cybersecurity course will provide you with the technical and organisational skills to make a difference to society by providing safe and secure digital environments, allowing the public, business and industry, and the economy to function safely.

As a student studying Cybersecurity, you'll contribute to the wellbeing of society by raising awareness of threats and attacks and designing systems, structures and networks to identify attacks and recover from them allowing business continuity.

The course has been designed to cover a wide range of relevant, interesting and current topics in the cybersecurity field. You'll study industry-specific topics and specialise in areas such as network security, cybersecurity in organisations, big data security and breach and incident response.

Our close links to industry and businesses in the North East, as well as the research expertise of our academics makes this course unique and ensures that the course structure is developed according to the needs of the employment sector. We work alongside the following companies: Net Defence, PWC, Northumbria Police, SAGE, Accenture and Sapphire.

This course will provide you with a thorough grounding in the creation of cybersecurity solutions for information security, systems security and network security. You’ll develop the skills to determine, establish and maintain cybersecurity infrastructures, and you’ll examine the underlying technologies of secure systems and their inherent risks and privacy issues. You’ll also learn how to select appropriate tools and techniques to address and manage risks, threats, vulnerabilities and potential attacks, in order to deliver cyber resilience.

You’ll cover topics such as digital forensic tools, network technologies, security procedures and defensive programming. You’ll also choose an optional module that covers a particular specialism such as big data security, user experience design or artificial intelligence for cybersecurity.

Throughout the course you’ll develop skills and knowledge that give you the confidence to apply cybersecurity tools and techniques; to be innovative in using cybersecurity skills; to solve cybersecurity problems, identify breaches and attacks; to create opportunities for information security management, risk management and business continuity; and to enable effective and efficient implementation of cybersecurity systems and infrastructures.

You’ll be taught by research active academics that have a wealth of experience, and the research produced underpins the teaching you'll receive.

The course is pending accreditation from the British Computer Society, the UK’s Chartered Institute for IT.

Course content

The course mixes taught elements with independent research and supportive supervision. At Masters level, responsibility for learning lies as much with you as with your tutor.

Modules on this course include:
-Research Skills and Academic Literacy (15 Credits)
-Network Security (15 Credits)
-Cybersecurity in Organisations (15 Credits).
-Fundamentals of Cybersecurity (30 Credits)
-Breach and Incident Response (15 Credits)
-Principles of Cybersecurity and Cyber Resilience (15 Credits)
-Masters Project (60 Credits)

Optional Modules – (choose one module from the following)
-Big Data Security (15 Credits)
-Cybersecurity and User Experience Design (15 credits)
-Cybersecurity and Artificial Intelligence (15 credits)

Teaching and assessment

We use a wide variety of teaching and learning methods which include lectures, group work, research, discussion groups and seminars.

Compared to an undergraduate course, you will find that this Masters requires a higher level of independent working. Assessment methods include written reports and research papers, practical assignments and the Masters project.

Facilities & location

The course is taught at the David Goldman Informatics Centre, based at the Sir Tom Cowie Campus at St Peter’s, it looks out over the River Wear and is less than a mile from the seaside.

Sunderland offers one of the most modern and best equipped computing environments in the UK. The open-plan David Goldman Informatics Centre is equipped with over 300 computers, which are continuously upgraded and have attracted praise in an independent evaluation by the BCS.

Join an accredited Cisco Academy department and have access to laboratories fully equipped with Cisco networking equipment, including: routers, switches, terminals and specialist equipment for simulating frame relay and ISDN links.

Benefit from the Remote Global Cisco Academy and have access to our software whether you’re using the WiFi in our halls of residence or you’re at home.

We host high-performance computing platforms, including a Beowulf cluster and a grid distributed system, for concurrent processing of complex computational tasks. You can also access the equipment and licences for our own public mobile cellular network.
Access hundreds of PCs, Apple Macs, or the free WiFi zones across the campus and find the best place for you to study in our unique and vibrant learning space. The University is very diverse with a strong international presence and provides you with the opportunity to explore different cultures.

Study at a uniquely designed library and have access to more than 430,000 books, 9,000 electronic journal articles and benefit from a £1 million annual investment in new resources.

Employment & careers

Progress in some of the most attractive fields and industries as we prepare you for a range of cyber security jobs, including roles such as: information security manager, security analyst, security architect, security administrator, incident responder, security engineer, security auditor, security software developer and vulnerability assessor.

Graduates studying Cybersecurity have gone on to secure employment with a range of companies and organisations including: GCHQ, (ISC)2, Accenture, HPE, BT, PWC, SAGE, Sunderland City Council, Northumbria and Durham Police forces and the Cybersecurity Workforce Alliance.

Businesses and industries across the UK have identified a skills gap in Cybersecurity and there is a demand for cybersecurity professionals in the public and private sectors as well as in the not profit and education sectors. You'll benefit from the University’s close links with businesses and employers in the North East and join an industry-driven programme.

The cybersecurity provision is underpinned by strong collaboration with employers. The provision is further enhanced by the contribution from cybersecurity employers and external experts in a number of ways including a series of guest lectures, master classes and seminars.

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The data centre sector is growing and is central to our daily lives. But there’s a shortage of data centre managers who can address the rapid change and complexity faced by the industry. Read more

Course Overview

The data centre sector is growing and is central to our daily lives. But there’s a shortage of data centre managers who can address the rapid change and complexity faced by the industry. Our course will equip experienced professionals with the knowledge and capability to meet the demands of data centre leadership.

Data centres are fast-moving, complex businesses that need decisive, knowledgeable leaders. Our MA course aims to give practising data centre managers the opportunity to develop and advance their leadership abilities.

While our MA includes technical elements, it’s not designed to be a technical course. Rather, it takes broad-based contemporary business theory and applies it to data centre management to help you apply your learning effectively and immediately.

As all of our students continue to work while studying, you’ll have the opportunity to look at your current work and past professional experience to consider how you can apply what you’ve learnt in practice. Together we’ll analyse historical and contemporary management theory, giving you a firm understanding of how it’s evolved, while challenging current thought on business and leadership issues.

Consolidating the breadth of philosophical and theoretical concepts of leadership with the essential underpinning theories of change, risk management, finance, general management and human resources management, our MA programme offers you the opportunity to apply generic constructs to your own data centre workplace.

By the time you graduate, you’ll have the ability to consider, and then apply, leadership and management principles in a number of ways, in line with your organisation’s needs and external demands.

Our lecturers are experienced practitioners with strong professional links. What’s more, our modules are developed with input from industry specialists so you can be sure they’re current, authentic and challenging. Specialists also provide guest lectures, case study material and advice on current and emerging issues for use as ‘provocations’ on our course.

Lord Ashcroft International Business School is one of the largest business schools in the east of England. You'll benefit from state-of-the-art teaching and learning facilities, including our Virtual Learning Environment (VLE) through which you can access study resources and help.

See the website http://www.anglia.ac.uk/study/postgraduate-taught/data-centre-leadership-and-management

Year 1 – Postgraduate Certificate (PG Cert)

Data Centre Leadership
What are the challenges of leading in a complex and dynamic industry? This module sets the scene for the course by helping you develop the aptitude and knowledge needed to lead successful data centre teams, departments and companies. This module looks at topics such as strategic analysis, change management and organisational dynamics, as well as how to foster innovation within the business.

Finance for Non Financial Managers
Finance is a core element of any business activity and a key element of business decisions. Therefore, having a deeper understanding of financial management will enhance your contribution to the business and increase your influence within the company.

Sustainable Design for High Capacity Data Centres
The design of data centres can have a huge influence of their efficiency and sustainability. Leaders who can anticipate and manage future trends in design and sustainability will have an advantage in a fast moving industry. This module will bring you the most up to date thinking on data centre design, while also having a strong emphasis on management and monitoring to maximise efficiency and sustainability.

Year 2 - Postgraduate Diploma (PG Dip)

Data Centre Infrastructure Management, Security and Disaster Recovery
What are the issues when managing complex resources? What strategies can be used to ensure security, identify risk and vulnerability, and mitigate against these? How can you plan for disasters, and can you plans be built with future developments in mind? This module takes these questions and more, helping you to develop answers in the context of your own work.

HRM and Organisational Capability Development
This module looks at managing human resources from the leader’s perspective. You will look at how organisational structures influence behaviour, strategies for managing talented individuals, how to manage contingent labour and organisational performance in a dynamic environment.

Decision Making in Critical Services
Data centres are mission critical environments, experiencing high levels of complexity and change. Due to this, the data centre context is highly sensitive to the outcomes of decisions, and it is important that leaders have the knowledge and capacity to consider and implement complex decisions. This module will give you the opportunity to develop your decision making capabilities, particularly where decision outcomes may be disruptive, innovative or untested in current contexts.

Year 3 – Master of Arts Degree (MA)

Contemporary Issues in Leadership and Management
The data centre industry is a dynamic environment, with new issues emerging as technology develops, political influences change and the global economic situation evolves. These factors all impact on day-to-day leadership and management within the industry. This module will help you to build your own understanding of issues that influence the industry, develop your responses and grow as a thought leader.

Research Methods for Business and Management
Research skills are important in business as well as academia. Producing high quality research can drive innovation and enterprise and form a crucial part of the professional’s portfolio of capability. This module will enable you to develop the key project management and data analysis skills needed to deliver Masters Level research.

Post Graduate Major Project
This final module builds on the knowledge that you have developed through the course, giving you a chance to produce an in-depth academic study into a topic of your choice. Your project could address an issue in your workplace, or examine a theme in the wider industry. Under our supervision, you will further build your own specialist expertise and ultimately enhance your career development.

Assessment

You will complete an assessed piece of work at the end of each module, and a Postgraduate Major Project in your final year. Your assessed work will be relevant to your job and designed to help you develop your skills, knowledge and career.

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