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Masters Degrees (Data Security)

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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.

For graduate students who would like to live on campus, Jacobs University offers accommodation in four residential colleges. Each college has its own dining room, recreational lounge, study areas, and common and group meeting rooms. Please visit http://www.jacobs-university.de/study/graduate/campus-life for more information.

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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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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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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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The Masters in Data Science provides you with a thorough grounding in the analysis and use of large data sets, together with experience of conducting a development project, preparing you for responsible positions in the Big Data and IT industries. Read more
The Masters in Data Science provides you with a thorough grounding in the analysis and use of large data sets, together with experience of conducting a development project, preparing you for responsible positions in the Big Data and IT industries. As well as studying a range of taught courses reflecting the state-of-the-art and the expertise of our internationally respected academic staff, you will undertake a significant programming team project, and develop your own skills in conducting a data science project.

Why this programme

◾The School of Computing Science is consistently highly ranked achieving 2nd in Scotland and 10th in the UK (Complete University Guide 2017)
◾The School is a member of the Scottish Informatics and Computer Science Alliance: SICSA. This collaboration of Scottish universities aims to develop Scotland's place as a world leader in Informatics and Computer Science research and education.
◾We currently have 15 funded places to offer to home and EU students.
◾You will have opportunities to meet employers who come to make recruitment presentations, and often seek to recruit our graduates during the programme.
◾You will benefit from having 24-hour access to a computer laboratory equipped with state-of-the-art hardware and software.

Programme structure

Modes of delivery of the MSc in Data Science include lectures, seminars and tutorials and allow students the opportunity to take part in lab, project and team work.

Core courses

◾Big data
◾Data fundementals
◾Information retrieval
◾Machine learning
◾Research methods and techniques
◾Text as data
◾Web science
◾Masters team project.

Optional courses

◾Advanced networking and communications
◾Advanced operating systems
◾Algorithmics
◾Artificial intelligence
◾Big data: systems, programming and management
◾Computer architecture
◾Computer vision methods and applications
◾Cryptography and secure development
◾Cyber security forensics
◾Cyber security fundamentals
◾Distributed algorithms and systems
◾Enterprise cyber security
◾Functional programming
◾Human computer interaction
◾Human computer interaction: design and evaluation
◾Human-centred security
◾Information retrieval
◾Internet technology
◾IT architecture
◾Machine learning
◾Mobile human computer interaction
◾Modelling reactive systems
◾Safety critical systems.
◾Software project management
◾Theory of Computation

Depending on staff availability, the optional courses listed here may change.

If you wish to engage in part-time study, please be aware that dependent upon your optional taught courses, you may still be expected to be on campus on most week days.

Industry links and employability

◾The advent of Big Data tools in recent years has facilitated the large-scale mining of voluminous data, to allow actionable knowledge and understanding, known as Data Science. For instance, search engines can gain insights into how ambiguous a query is according to the querying and clicking patterns of different users. Data Science combines a thorough background in Big Data processing techniques, combined with techniques from information retrieval and machine learning, to permit coherent and principled solutions allowing real insights and predictions to be obtained from data.
◾The programme includes a thorough grounding in professional software development, together with experience of conducting a development project. The programme will prepare you for a responsible position in the IT industry.
◾The School of Computing Science has extensive contacts with industrial partners who contribute to several of their taught courses, through active teaching, curriculum development, and panel discussion. Recent contributors include representatives from IBM, J.P. Morgan, Amazon, Adobe, Red Hat and Bing.
◾During the programme students have an opportunity to develop and practice relevant professional and transferrable skills, and to meet and learn from employers about working in the IT industry.

The Data Lab

We work closely with The Data Lab, an internationally leading research and innovation centre in data science. Established with an £11.3 million grant from the Scottish Funding Council, The Data Lab will enable industry, public sector and world-class university researchers to innovate and develop new data science capabilities in a collaborative environment. Its core mission is to generate significant economic, social and scientific value from data. Our students will benefit from a wide range of learning and networking events that connect leading organisations seeking business analytics skills with students looking for exciting opportunities in this field.

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

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

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

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

Programme Description

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

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

Work Placement

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

Assessment

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

Career Opportunities

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

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

Why Study this Programme

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

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

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

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

What you'll learn

Students complete six taught modules.

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

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

Trimester C:
-MSc Dissertation

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

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

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

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

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

JANUARY 2018 (Full Time) - http://www.gcu.ac.uk/ebe/study/courses/details/index.php/P02860-1FTAB-1718/Big_Data_Technologies?utm_source=ZZZZ&utm_medium=web&utm_campaign=courselisting

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

Programme Description

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

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

Why Study this Programme

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

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

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

What you'll learn

Students complete six taught modules.

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

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

Trimester C:
-MSc Dissertation

Work Placement

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

Assessment

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

Career Opportunities

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

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

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You will have the opportunity to engage with the very latest Cyber Security principles, practices, tools, and techniques through practical application analysing and evaluating problems and responding to challenges in real time. Read more

INSTITUTE FOR DESIGN INNOVATION

You will have the opportunity to engage with the very latest Cyber Security principles, practices, tools, and techniques through practical application analysing and evaluating problems and responding to challenges in real time.

This programme will provide students with a comprehensive understanding of the challenges in Cyber Security faced by industry and society, and will help you to develop the necessary skills to address those challenges in the most effective way. This programme will enable you to build knowledge and develop expertise in network security in cryptography and through action-based learning to provide you with employment skills essential to the Cyber Security industries and related businesses, e-commerce, and governmental organisations.

See the website http://www.lborolondon.ac.uk/study/institutes-programmes/cybersecurity-and-big-data/

Programme Aims

a) Provide students with a comprehensive understanding of the challenges in cyber security faced by industry and society, and will help them to develop the necessary skills to address those challenges in the most effective way

b) Utilise both cyber security and big data analytics techniques to analyse and evaluate problems and respond to challenges with practical applications in real time

c) Build students’ knowledge and develop expertise in network security and cryptography, including big data analytics to combat malicious activities and to detect anomalies in the network

d) Provide individuals and teams with employment skills essential to the cyber security industries and related businesses, such as IT, e-commerce, and governmental organisations using action-based learning

Programme Structure

To complete the MSc Cyber Security and Big Data students must complete 8 x 15 credit modules. Students must also choose and complete 3 of the 6 optional modules. Students will pick a second subject from the list of nominated second subject modules offered by the other Institutes in the first semester. All students must complete a Dissertation worth 60 credits.

ASSESSMENT

Modules are assessed primarily by exams and also include a combination of group exercises, presentations and time-constrained coursework and assignments with varying levels of weighting depending on the nature of each module.

CAREER PROSPECTS

Graduates from this programme will be in a very strong position to take on digital technology posts in a wide range of industries, including Internet and cloud based businesses, finance firms, governmental organisations, consultancy companies operating in information, communication and network security, as well as those sectors dealing with massive personal data, such as health and well being, where users' privacy and trust needs safeguarding.

Graduates will also have the opportunity to enhance their knowledge and career prospects further by undertaking a PhD programme.

COMPULSORY MODULES

- Collaborative Project
- Dissertation
- Applied Cryptography

OPTIONAL MODULES

Choose three modules only:
- Media Processing and Coding
- Internet and Communication Networks
- Internet of Things and Applications
- Introduction to Programming and MatLab

SECOND SUBJECT MODULES

Choose one module only
- Design Thinking
- Principles of Entrepreneurship and Innovation Management
- Sport Media and Marketing
- The Key Topics in Media and Creative Industries
- Introduction to Diplomacy
- Business Model Development

See here for information on modules: http://www.lborolondon.ac.uk/study/institutes-programmes/cybersecurity-and-big-data/

Scholarships

We are investing over half a million pounds (£0.5m) in our scholarship and bursary scheme to support your studies at Loughborough University London in 2017.

This package of support celebrates and rewards excellence, innovation and community. Our ambition is to inspire students of the highest calibre and from all backgrounds and nationalities to study with us and benefit from the wider Loughborough University experience and network. Our range of scholarships, bursaries and support packages are available to UK, EU and international students.View the sections below to discover which scholarship options are right for you.

What's on offer for 2017?
Inspiring Success Programme
-For unemployed and underemployed* graduates living in the East London Growth Boroughs of Hackney, Newham, Tower Hamlets or Waltham Forest
-Award value: 100% off your tuition fees
-We are joining forces with The London Legacy Development Company to offer a two day programme of specialist support for graduates, including workshops, skills seminars and networking opportunities to increase students' employability and support those looking to enter into postgraduate education.
-Eligibility: At the end of the programme, eight students will be selected for a 100% scholarship to study a masters course of their choice at our London campus in September 2017.

Dean's Award for Enterprise
-For students looking for the skills and support to launch a new business
-Award value: 90% off fees to launch your business idea
-Eligibility: The award will be given at the discretion of the Dean and the Senior Leadership Team, based on a one-page submission of your business idea.

East London Community Scholarship
-For any students who obtained their GCSE’s or A-levels (or equivalent qualifications) from The Growth Boroughs – Barking and Dagenham, Greenwich, Hackney, Newham, Tower Hamlets and Waltham Forest
-Award value: 50% off your tuition fees
-Eligibility: Competitive scholarship based on one-page submission showing your contribution to our community.

Alumni Bursary
-For all Loughborough University alumni
-Award value: 20% off your tuition fees
-Eligibility: International and UK/EU alumni holding a current offer for LoughboroughExcellence Scholarship
-For international and UK/EU high achieving students
-Eligibility: Any student holding a high 2:1 or first class undergraduate degree or equivalent from a recognised high quality institution will be considered

Find information on Scholarships here http://www.lborolondon.ac.uk/study/scholarships-and-bursaries/

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This professional degree is for people who are passionate about drawing meaningful knowledge from data to drive business decision-making or research output. Read more
This professional degree is for people who are passionate about drawing meaningful knowledge from data to drive business decision-making or research output.
Data is a vital asset to an organisation. It can provide valuable insights into areas such as customer behaviour, market intelligence and operational performance. Data scientists build intelligent systems to manage, interpret, understand and derive key knowledge from this data.
For those with strong mathematical or quantitative backgrounds, this degree will develop your analytical and technical skills to use data science to guide strategic decisions in your area of expertise. It offers the flexibility to tailor your learning to your professional and personal interests.
Leveraging the University’s research strengths, you will explore the latest in data mining, machine learning and data visualisation, while developing the skills to effectively communicate data insights to key stakeholders.
For those with qualifications in other areas such as health and education, a Graduate Certificate in Data Science can provide you with data science capability to complement your existing skills and provide a pathway to the master’s program.
Course structureThe course comprises core units, elective units and a capstone project where you will apply your skills to a real-world data science problem. You can tailor your degree by selecting elective units and a project that complement your particular interests, background and qualifications.
Core units for the Master of Data Science include Principles of Data Science, Computational Statistical Models, Visual Analytics, and Knowledge Discovery and Data Mining.
For the Graduate Certificate in Data Science, core units include Principles of Data Science, Algorithms, Database Management Systems and Introduction to Statistics.
You can select elective units from the following data science subjects, or from other disciplines relevant to your background and qualifications.
Data science electives include:
Advanced Data Models
Cloud Computing
Multimedia Retrieval
Data Analytics and Business Intelligence
Information Security Management
Statistical Learning and Data Mining
Statistical Natural Language Processing
Predictive Analytics.We also offer a pathway for eligible candidates planning to pursue a research degree.

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The MSc in Cyber Security and Management is designed for those wishing to develop a career as a cyber security professional, or to take a leading technical or managerial role in an organisation critically dependent upon data and information communication technology. Read more

Designed for

The MSc in Cyber Security and Management is designed for those wishing to develop a career as a cyber security professional, or to take a leading technical or managerial role in an organisation critically dependent upon data and information communication technology.

It is suitable for those from a computer science or information technology education background. The programme is also able to cater for those with no formal studies in computer science but where significant interest in cyber security can instead be demonstrated.

The Course Provides:

1. Cyber Security in the UK has become a ‘tier 1’ priority alongside international terrorism and major national incidents. The serious threats emerging from the cyber-sphere are a recognised phenomenon worldwide and as such studies in cyber security are strategically important on a global scale.

2. Our goal for the MSc programme is to give focus to the strategic deployment and implementation of Cyber Security within an organization. We want to develop strategic thinkers who understand the Cyber threat to an organization and its resources and are able to build and support secure systems that support the strategic growth of a business.

3. The course covers all aspects of Cyber Security including network security, computer security and information security. You will learn the most important technical concepts of security—such as encryption, intrusion detection, penetration testing, access control, digital forensics and investigation, risk management, security governance and network security.

4. Alongside this, the course focuses on the business context so that students can progress their careers more rapidly through organisations and aim very particularly at management positions.

When you study the MSc Cyber Security and Management at Warwick, you will gain an unparalleded exposure to industry. All taught modules contain considerable input from industry experts who, through case studies and guest lectures, contribute to the design and delivery of material making for a vey rich learning environment.

An example of some of the companies involved in the CSM programme since it was launched in 2012 include HP, Amethyst Consulting, Deep Secure Ltd, Siskin Technology, SOCA (Serious Organised Crime Agency), CSC, VMware, OCSIA, Nottingham Police, Mozilla, Metropolitan Police, Kaspersky, Berwin Leighton Paisner, Telefonica, IBM, Blackstage Forensics, Derbyshire NHS Trust and Nettitude.

You will have additional opportunity to engage with industry through industry visits, conferences, and mentoring or advice from industry experts at key stages of your work.

Course Content

Students study nine taught modules as part of the programme of study.
Core Modules:
1. Security Architectures and Network Defence
2. Cryptosystems and Data Protection
3. Information Risk Management and Governance
4. Industrial Espionage and Counterfeiting
5. Digital Forensics

Elective Modules (3 from this list):
1. Cyber Intelligence and Operations
2. Cyber-Physical Systems
3. Enterprise Cyber Security
4. Globalisation and Outsourcing
5. Financial Analysis and Control Systems
6. Organisations, People and Performance
7. Leadership

A ninth module to be selected from the full list of WMG elective modules.

Learning Style

The taught component of the course is highly interactive and varied with a mixture of lectures, syndicate or group work, practical and lab based work, and technology enabled learning.
Class sizes are kept to a maximum of 30 students per class.
Module leaders are experts in their fields and are supported by external speakers working in organisations at the forefront of their fields.
Assessment is through Post Module Assignment based on the learning objectives of each respective module.
50% of the Masters credit is achieved through your individual project or dissertation, for which you will have close 1-1 supervision
Each module will usually be delivered in intensive one-week blocks so you are fully immersed in the subject area for that period. These one-week sessions are scheduled at intervals from October through to June.

After Your Graduate

Graduates can expect to go on to work within corporate information - security and technology teams, consultancies, government information-security departments, management tracks in information critical organisations and cyber security related research.

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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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