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Masters Degrees (Data Architect)

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

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

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

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

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

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

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

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

What you will study

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

Cloud Computing and Web Services

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

Big Data Landscape

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

Data Analytics

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

Big Data Platforms

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

Internet of Things

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

IT Professional Issues and Project Methods

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

Masters Dissertation

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

Work placements

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

Assessment methods

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

Graduate prospects

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



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

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

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

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

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

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

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

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

What you will study

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

Cloud Computing and Web Services

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

Big Data Landscape

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

Data Analytics

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

Big Data Platforms

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

Internet of Things

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

IT Professional Issues and Project Methods

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

Masters Dissertation

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

Work placements

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

Assessment methods

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

Graduate prospects

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



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Do you enjoy problem solving? Are you looking for a demanding career with a salary to match? Southampton Solent University’s MSc Data Analytics Engineering programme teaches students to make sense of a world where every action and transaction we perform has some aspect of data attached to it. Read more

Do you enjoy problem solving? Are you looking for a demanding career with a salary to match? Southampton Solent University’s MSc Data Analytics Engineering programme teaches students to make sense of a world where every action and transaction we perform has some aspect of data attached to it. Data analysts use these data sets to make meaningful inferences that can support business decisions, governmental policy changes and system designs.

As a conversion course, this master’s degree is well suited to students from a wide range of academic backgrounds. The course will help you to develop sought-after skills within the technology and big data environment, fully preparing you for a range of careers after graduation.

The one-year master’s level conversion course is designed to prepare students from a range of academic backgrounds for work in data analytics engineering. Students are also able to tailor the course to their own personal career ambitions through a research project. Many use this piece of work to springboard the start of their career or a further research study.

Topic covered include databases, data management, web technologies, analysis and computing fundamentals. Students will also study academic research methods, which will then inform their final research project.

Students are also supported to gain a range of transferable skills throughout the course. These include project management, critical thinking, organisation and presentation skills. The professional issues and practise unit helps prepare students for the workplace by looking at the wider computing industry and the contexts in which big data can be used most effectively.

What does this course lead to?

Graduates from this course would be well-suited for a range of data analytics and data systems design roles. If you are interested in research, the course offers opportunities to continue on to PhD study.

Who is this course for?

This conversion master’s course is ideally suited to students from a number of academic backgrounds who have a strong interest in learning to code and transform data.

The course is also suited to those with extensive industry experience in this area, and who wish to gain an academic qualification.

What you will study

Core units with CATS points:

  • Research Methods (15)
  • Professional Issues and Practice (15)
  • Pilot Project (15)
  • Research Project (45)
  • Computer Fundamentals (15)
  • Data Management (15)
  • Web Technologies (15)
  • Databases (15)
  • Data visualisation (15)
  • Data Analysis (15)

Facilities

Students have access to high-spec computer labs and make use of the latest design and development programs.

Students will test applications in our new device laboratory - a special test area integrated within one of our existing software development spaces. This arrangement allows you to test your website designs and apps on real equipment, ensuring they perform as expected on the target platforms.

Your future

Suitable roles for graduates include:

  • Business Analyst
  • Project manager
  • Database manager
  • Digital marketer
  • Software developer
  • Web Developer
  • Application development
  • Project manager
  • Senior database analyst
  • Senior user experience analyst
  • Software architect
  • Network deployment specialist.

Industry links

Course content is developed with input from a variety of sources including an industrial liaison panel. This ensures that your studies include the latest technologies and working practices.

You’ll also have the chance to work directly with real-world companies on live briefs, events and projects, while regular BCS meetings hosted at the University help you to build professional connections and secure valuable work experience opportunities.



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Information technology (IT) is all around us, forming the very destiny of our lives…our world. IT advances a wide array of disciplines, such as engineering, business and medicine, and even art and archaeology. Read more
Information technology (IT) is all around us, forming the very destiny of our lives…our world. IT advances a wide array of disciplines, such as engineering, business and medicine, and even art and archaeology.

The Master of Information Technology (MIT) provides the knowledge, understanding and skills to solve real-world problems with cutting-edge technology. You learn to create innovative IT solutions in your chosen area, in order to work in the industry at the highest levels.

As an MIT graduate, you could become a software engineer, an enterprise data architect, a mobile systems analyst, or even a chief technology officer.

The MIT caters to students from a variety of backgrounds. If you do not have previous training in IT, the course includes preparatory units that will give you the IT knowledge needed for the remainder of the course. However, if you already have a degree in IT, you can accelerate your study with an exemption from these preparatory units, or perhaps study further elective units in areas of your choice.

The course offers you the opportunity to explore a wide range of areas, such as software engineering, mobile and distributed systems, project management and machine learning.

In your final semester, you may take part in an Industry Experience program, working in a small team with industry mentors to develop entrepreneurial IT solutions. Or you may undertake a minor-thesis research project, investigating cutting-edge problems in IT under the supervision of internationally recognised researchers.

High-achieving students who complete the research component may progress to further research study.

The MIT is accredited with the Australian Computer Society (ACS).

Visit the website http://www.study.monash/courses/find-a-course/2016/information-technology-c6001?domestic=true

Overview

This course prepares students for work in the information technology industry at the highest levels. It provides students with a previous tertiary qualification in another discipline area with the knowledge, understanding and skills to enable them to deal effectively with advanced issues involving the application of information technology.

Students with previous studies in a technical IT area can complete in three semesters (full-time) by applying for credit for foundation units.

Career opportunities

Graduates of the MIT will have the knowledge and skills to solve complex social, economic and technical problems within the context of information technology. Students will develop deep theoretical and practical knowledge in specific areas so that they will have the intellectual and conceptual foundation to play leading roles in the development of the information technology industry.

Course Structure

PART A. Foundations for advanced information technology studies
These studies will provide an orientation to the field of information technology at graduate level. They are intended for students whose previous qualification is not in a cognate field.

PART B. Core Master's study
These studies draw on best practices within the broad realm of IT application, theory and practice. You will gain an understanding of information technology real world IT problems and gain problem solving skills. Your study will focus on IT project management, software, network and systems areas.

PART C. Advanced practice
The focus of these studies is professional or scholarly work that can contribute to a portfolio of professional development. You have two options.

The first option is a research pathway including a thesis. Students wishing to use this Masters course as a pathway to a higher degree by research should take this first option. For students to be able to progress to HDR, this course must have a minimum 12 points of research.

The second option is a program of coursework involving advanced study and an Industry experience studio project.

Students admitted to the course, who have a recognised honours degree in a discipline cognate to information technology, will receive credit for PART C, however, should they wish to complete a 24 point research project as part of the course they should consult with the course coordinator.

For more information visit the faculty website - http://www.study.monash/media/links/faculty-websites/information-technology

Find out how to apply here - http://www.study.monash/courses/find-a-course/2016/information-technology-c6001?domestic=true#making-the-application

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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 is a conversion course aimed at graduates with a first degree in a non-computing discipline who want to gain employment in the lucrative IT industry. Read more

This is a conversion course aimed at graduates with a first degree in a non-computing discipline who want to gain employment in the lucrative IT industry.

You begin by studying key computing topics including

  • introduction to databases and big data
  • computer programming and web development
  • introduction to technology and computer hardware
  • IT project management and modern development methods

These modules provide the background knowledge you need to develop more advanced skills later in the course. They allow you to become familiar with the major technologies and concepts that underpin the modern computing industry.

Your learning at this stage has a practical focus and you are encouraged to take part in technical development work.

You go on to study a specialist topic in more depth with the choice of • databases • big data • web and cloud technologies. These areas are very current within the computing industry and in high demand of qualified IT personnel.

You then take an industrial expertise module where you have the opportunity to engage in live projects for real clients. This gives you experience working in a team to identify client needs, plan projects and produce working solutions.

You may be able to study abroad as part of the Erasmus programme.

During the final part of the course you complete an individual project which is the equivalent of a dissertation. To prepare you for this project, you first take a module on research skills and principles. You gain an understanding of research methods and learn how to manage a project of this kind.

As well as submitting project materials, you also deliver an assessed presentation describing your work to an audience.

Course structure

Core modules

  • databases and big data
  • web and multimedia programming
  • technology and networking
  • project management methods
  • industrial expertise
  • research skills and principles
  • product development project

Optional modules

You choose one from

Databases

This covers • logical database design • data warehousing • big data and distributed systems.

Web and cloud technologies

This covers • cloud technologies • cloud applications • mobile applications.

Big data

This covers • big data and distributed systems • data quality • business intelligence in action.

Assessment

  • individual assignments
  • group work
  • practical projects
  • reports
  • presentations

Employability

This course prepares you for a career in the software industry. You graduate with the skills and knowledge to work in areas such as • database development • web application development • big data • software consultancy. The course offers flexibility by being able to adopt the latest technologies and standards to reflect what is being used in industry.

Our computing graduates have found employment in companies such as Sky, PlusNet and Sumo Digital in roles ranging from software tester to senior architect.



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

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

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

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

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

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

What you will study

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

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

Cloud Computing and Web Services

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

Cloud Virtualisation Security

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

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

Big Data Landscape

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

Cloud Software Engineering

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

Internet of Things

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

IT Professional Issues and Project Methods

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

Masters Dissertation

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

Placements

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

Assessment methods

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

Graduate prospects

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

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



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This track equips you to look at culture, language and history through the lens of digital methods. We are witnessing many exciting new trends in information technology. Read more
This track equips you to look at culture, language and history through the lens of digital methods.

We are witnessing many exciting new trends in information technology. The vast amount of digital data that is available nowadays opens up new research questions and opportunities for real life applications.

This Digital Humanities Master's track offers a systematic way to incorporate information technology in humanities research.It trains students with a humanities background for the growing number of research and job opportunities that require processing of digital information. It reflects on the underlying theory and the impacts on our culture and society. It offers courses for creating, analyzing and visualizing humanities data. Finally, you will be skilled to work with professional databases, programming scripts, and statistical tools.

In addition to the 60 ects programme, an optional internship for 30 ects that will be noted on your diploma is highly recommended.

The courses in the programme are organised according to three specializations: Theory (Understanding Digital Humanities; Data in Society; Software and Data as Culture), data processing (Creating Data, Analyzing Data, Visualizing Data) and skills (Database Development, Coding for Humanities, Thesis Preparation).

Job examples

Career prospects:
- Digital curator
- Cultural designer
- Information architect
- Data scientist
- Metadata analyst

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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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This course has been designed to enhance your professional abilities, and deepen your knowledge and understanding of emerging, state-of-the-art database technologies. Read more
This course has been designed to enhance your professional abilities, and deepen your knowledge and understanding of emerging, state-of-the-art database technologies. It will equip you with the range of highly marketable, hands-on skills required in data modelling, and in designing, managing, monitoring and administering corporate database systems divisions, information centres and webenabled database applications.

The course combines academic study with Oracle certification training, and you will be encouraged to take the associated Oracle exams and become an Oracle Certified Associate. It is suitable for recent graduates who wish to study for a higher qualification and/or gain relevant technical and professional skills in database systems. It's also a strong course for practitioners looking to enhance their professional abilities, develop their careers, and update their technical skills, knowledge and understanding of state-of-the-art and emerging technologies.

Course content

The course addresses new technologies, and advanced theories and techniques, along with their application, implementation and integration with legacy systems. You will analyse new demands and the application of new technologies in the management of data and information resources, and examine emerging technologies shaping the way data is now processed, accessed, retrieved, structured and modelled.

Embedded into the course are these themes that will help you to develop skills in the use and application of specific area in the database discipline. One theme is related to database administration and the ability to deliver and administer web-enabled database solutions. A second theme is related to database application development, and the ability to deliver web-enabled information systems solutions. The third theme focuses on the role of data architect, and the skills and knowledge needed to organise and design data and manage projects in a way that harnesses potential emerging technologies.

Teaching methods include lectures, student-led activity and smaller, instructor-led groups. You are encouraged to gain greater understanding of topics through practical activity and the use of scaled down versions of real life scenarios. The Oracle training materials that we use will prepare you to take the Oracle Certified Associate (OCA) exams. Assessment usually involves a combination of exams and coursework, leading to a product such as a presentation, group investigation, technical solution, a piece of software or a research review. Exams are normally two hour long and take place at the end of the year.

Modules

The following modules are indicative of what you will study on this course.

Core modules
-BUSINESS INFORMATION SYSTEM POSTGRADUATE PROJECT MODULE
-BUSINESS SYSTEMS PROGRAMMING
-DATA MANAGEMENT AND REPOSITORIES
-DATABASE LANGUAGES
-RESEARCH METHODS AND PROFESSIONAL PRACTICE

Option modules
-DATA WAREHOUSING AND OLAP
-DATABASE ADMINISTRATION AND MANAGEMENT
-DATA VISUALISATION AND DASH-BOARDING
-ENTERPRISE UTILITY COMPUTING
-IT BUSINESS MODELS
-PROJECT MANAGEMENT
-REQUIREMENTS AND SYSTEM MODELLING
-SEMANTIC AND COLLABORATIVE TECHNOLOGIES
-SYSTEMS INTEROPERABILITY
-WEB-ENABLED DATABASE APPLICATIONS
-WEB AND SOCIAL MEDIA ANALYTICS

Associated careers

Graduates can expect to find employment as business systems analysts and designers, data analysts, database administrators, database application developers, database systems consultants, information resources managers, systems designers and systems integrators. Recent graduates have joined a variety of organisations, including Bank of America, Vodaphone, the Metropolitan Police, CGI, Network Rail, Business & Decisions, JCC Payment System, Jacobs Engineering, Virgin Media, Accenture, Chevron and a number of local authorities and NHS trust.

Professional recognition

This course is accredited by the British Computer Society for partial fulfilment of the academic requirement for Chartered IT Professional.

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Why take this course?. This programme enables you to master the latest technology and techniques associated with extracting valuable information from large data sets that may have a variety of mixed attributes. Read more

Why take this course?

This programme enables you to master the latest technology and techniques associated with extracting valuable information from large data sets that may have a variety of mixed attributes.

You will reinforce your background with specialist knowledge on these new techniques and technologies and you will apply this to data sets from our internationally recognised research in cosmology, health informatics and cybersecurity.

What will I experience?

On this course you can:

  • Apply your skills to real-life practical problems with real-world data sets
  • Enhance your existing knowledge by developing solutions that use our supercomputers and networked computer clusters
  • Manage and understand the business value that can be extracted from data sets

What opportunities might it lead to?

This course is designed to enhance and develop your skills in data science and analytics to enable you to extract value from data sets that can be applied to business or society.

Here are some routes our graduates have pursued:

  • Senior Data Scientist
  • Data Architect
  • Data Officer
  • Information Strategist


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The Master of Information Systems (MIS) is a leading professional degree for aspiring and current practitioners and consultants in digital business. Read more

The Master of Information Systems (MIS) is a leading professional degree for aspiring and current practitioners and consultants in digital business.

The course was designed in consultation with leading IT decision-makers, ensuring that it is among the most industry-relevant graduate IT programs in Australia. The program covers areas of critical importance to IT employers, such as project and change management, emerging technologies, IT strategy and governance, security and service provision.

You will develop strong capability in supporting, managing and changing business processes through information and communications technology and information systems. You will also develop valuable transferable skills in solving business problems, collaboration, project management and application of models, frameworks and management theory.

Elective streams are available in areas such as:

  • eHealth
  • IS Project and Change Management
  • IT Service Provision
  • Business Analytics
  • IT Innovation and Interaction Design
  • Spatial Information
  • Accounting and Finance
  • People Management
  • Operations and Marketing
  • General Management.

Research pathways, which allow for entry into a PhD, are available to eligible students. A research specialisation is available for students receiving less than 50 points of credit, and a research studies elective stream is available for students receiving 50 points or more of credit.

Students not interested in research may apply for a range of competitive internship and industry based learning subjects.

Students choose between one of three specialisations:

Professional specialisation

This specialisation has advanced coursework study for careers in IT management and digital business.

Health specialisation

This specialisation has advanced coursework focusing on the use of IT to process health information for purposes including improved individual health, healthcare service provision, public health and biomedical research, prevention of clinical errors, reduced healthcare costs and effective population health management.

Research specialisation

This specialisation combines coursework in IT management and digital business with a strong grounding for undertaking research in that context.

CAREER OUTCOMES

This course is for graduates and career changers interested in professional or research careers in IT management and digital business; professionals supporting, managing and changing business processes through information and communications technology and systems. MIS graduates are highly-regarded by top firms and government agencies searching for tomorrow’s digital business thinkers and leaders.

Graduate jobs include roles such as management consultant, systems analyst/designer, IT infrastructure manager, business analyst and data architect. You will find employment opportunities with organisations such as Accenture, PwC, KPMG, Ernst & Young, IBM, Deloitte and AMP.

PROFESSIONAL ACCREDITATION

The Master of Information Systems (Professional) is accredited by the Australian Computer Society and qualifies graduates for international membership of the Association for Computing Machinery and the Association for Information Systems.



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Data is the blood flow of organisations. and the efficient use of information has become more important than ever. The Master of Science in Business Intelligence & Analytics at ESC Clermont in France is a . Read more

Data is the blood flow of organisations and the efficient use of information has become more important than ever. The Master of Science in Business Intelligence & Analytics at ESC Clermont in France is a 14 to 18-month master programme taught fully in English and accredited by the CGE. The programme trains Business Intelligence and Analytics professionals able to decode, analyse and interpret data in order to efficiently use the information to opitmize the decision-making process for the management. Students will practice the usage of analytical techniques, software tools, information systems and applications that are used to analyse what happened in the past while better anticipating the future. The programme focuses on the following areas: business modeling, data discovery, data visualization and data analysis.

Lectures are given by academic professors along with experts of different industries delivering real examples and transmitting their knowledge directly to the students.

Classes last from October to May, followed by an internship of a minimum of 4 months along with an executive report.

Target

Recent graduates and professionals from different backgrounds and expreiences looking forward to bridging the gap between IT and business requirements in order to enhance the decision-making process.

Strengths

  • Taught fully in English
  • Practical training: Mix of theory, practice and external conferences from professional references.
  • Mastery of world-famous tools and software : Use of market-leader software as MicroStrategy and SPSS through projects in agile method. Mix of theory and practice.
  • Preparation of future expertsAn executive internship to apply the knowledge learnt and obtain professional experience.

Professionalisation

Internship and Thesis

As part of the master programme, students of the MSc. in Business Intelligence & Analytics take on an internship or a work placement for a minimum of 4 months. The internship can be in France, Europe or any other international destination.

The internship is a great opportunity for students to conquer the business data worldobtain professional experience, acquire new skills, and develop existing skills.

Each student is individually supervised by a designated advisor and completes a professional thesis, followed by an oral defense and company assessment.

  Companies that welcome our students:

  • Microsoft
  • Capgemini
  • Valeo
  • BNP Paribas
  • Limgrain
  • L’Oreal
  • Michelin

Financing

Various flexible payment plans and scholarships are offered to international students.

Careers

On Business side

  • Business Analyst
  • Data Manager
  • Information Manager
  • BI/BA Project Manager
  • BI/BA Team Manager

On Information Systems side

  • BI/BA Functional Analyst
  • BI/BA Consultant
  • BI/BA Architect
  • BI/BA Scrum Master
  • BI/BA Domain Manager


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The MA in Professional Studies is a route to registration as an architect in the UK, approved by the Architects Registration Board (ARB) and Royal Institute of British Architects (RIBA) at Part 3 level. Read more
The MA in Professional Studies is a route to registration as an architect in the UK, approved by the Architects Registration Board (ARB) and Royal Institute of British Architects (RIBA) at Part 3 level. On the course, students acquire an in-depth understanding of the legal and economic aspects of architectural practice and construction procurement, and the related skills necessary to practice effectively.

The course has an outstanding reputation. This is reflected in the Commendations it has received from successive RIBA Visiting Boards including from the latest, in July 2016, when the Commendation was for its ‘breadth, depth and rigour’.

On the course students explore the professional aspects of practice as an architect, including the construction industry and role of the profession, development controls, construction law, and project and practice management. We aim to inspire our students with a keen interest in current issues relating to the profession. Students are encouraged to explore their own relevant areas of interest, and to develop critical and independent judgement, and the ability to manage complex processes. Research skills are developed through means of a dissertation.

The MA Professional Studies is a part-time qualification which is a route to registration as an architect that also includes a research element in the form of a dissertation.

Distinctive features

• Accredited by the Royal Institute of British Architects (RIBA) and the Architects Registration Board (ARB) at Part 3 level.

• Based on acclaimed research expertise within the Welsh School of Architecture and run by a leading author and expert in the field.

• Study while you work in practice; this course is taught by distance learning and short courses, where the emphasis is on workshops and group working.

• Benefit from a small cohort size, individual tutoring (normally including a workplace visit), and the wide variety of expert speakers and topics covered.

• Includes a module on international practice, unique for an ARB approved course.

• Supported by an active alumni network.

Structure

The course is taught by distance learning and supplemented by short courses, normally three one-week courses held in October, January and March. We also hold final assessment days in May or June. The activities you carry out on your work placement contribute to your learning experience and are monitored by the School.

Please visit the website to see the modules taught on this course:

http://www.cardiff.ac.uk/study/postgraduate/taught/courses/course/architecture-professional-studies-ma-part-time

Teaching

On this course you will be taught mainly through distance learning using the University’s virtual learning environment, Learning Central. We’ll post course notes, assignments and support materials there and you can also use the forum facility to ask questions and engage with fellow students. Your coursework will be submitted electronically through digital dropboxes.

Due to the nature of this course, you are responsible for reading any emails sent by module tutors or announcements made through Learning Central on a frequent basis.

Assessment

Taught and project-based modules are assessed in a variety of different ways depending on the module content and learning outcomes (found in the module descriptions). We use class tests, course work (both written assignments and oral presentations or critical assessments/crits), and project work, or a combination of these to assess your progress on the module.

In the dissertation stage, your dissertation is the sole object of assessment. The dissertation is a written report on a piece of research which you have carried out in an agreed subject area under supervision. You may choose a topic relating to cutting edge professional practice, or a current issue or problem of concern to the profession. Your dissertation may involve collection and analysis of original data, or placing an original interpretation on existing data.

Career prospects

After completing the MA in Professional Studies, you will be able to register with the Architects Registration Board (ARB) and therefore use the title ‘architect’ in the UK. The profession of architecture is covered by the Mutual Recognition of Professional Qualifications Directive 2005/36/EC. Therefore, registration also gives you the right to register in other EU member states on successful completion of the course. A UK architectural qualification is generally valued worldwide.

Past graduates have gone on to found their own architectural practice and lead teams within large global architecture firms. MA students have also gone into research posts or academia. Tutors on this course have established links with architectural practice which can help students to network and make connections in the field. There is also a strong alumni network with international links that you may benefit from.

Placements

You will be based in a suitable work placement as part of this distance learning course. You are required to find your own placement location before the course begins, such as an architects practice, or an approved construction industry firm.

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The MSc in Information Science is an ideal career development programme for librarians, archivists and other information professionals who wish to update their management skills and experience in the use of information technology, the internet and digital media, or for those from a computer-oriented background who wish to specialise in information fields. Read more

The MSc in Information Science is an ideal career development programme for librarians, archivists and other information professionals who wish to update their management skills and experience in the use of information technology, the internet and digital media, or for those from a computer-oriented background who wish to specialise in information fields.

About this degree

The programme includes both practical and theoretical work through which students develop a deeper understanding of not just the technologies themselves but also the implications of applying and managing these technologies in varied information environments. The wide range of optional modules allows students to tailor the programme to fit their individual career specialisms and needs.

Students undertake modules to the value of 180 credits.

The programme consists of five core modules (75 credits), three optional modules (45 credits) and a research dissertation (60 credits).

A Postgraduate Diploma, consisting of five core modules (75 credits), three optional modules (45 credits), full-time nine months or flexible study over 2-5 years, is offered.

A Postgraduate Certificate - any four of the modules available (60 credits), full-time 15 weeks or flexible study over a period of up to two years - is offered but does not carry CILIP accreditation.

Core modules

  • Systems Management
  • Internet Technologies
  • Database Systems Analysis and Design
  • Introduction to Programming and Scripting
  • Fundamentals of Information Science

Optional modules (indicative list)

  • Digital Resources in the Humanities
  • Electronic Publishing
  • Individual Approved Study
  • Introduction to Digital Curation
  • Introduction to Digitisation
  • Knowledge Representation and Semantic Technologies
  • Legal and Social Aspects
  • Management
  • Server Programming and Structured Data
  • XML

The list above only indicates commonly chosen options. In principle, students may apply to take any module offered within the department, or in other departments, with the tutors' permission.

Dissertation/report

All MSc students undertake an independent research project on a specific aspect of information technology and its application, which culminates in a dissertation of c. 12,000 words.

Teaching and learning

The programme is delivered through a combination of lectures, seminars, computer laboratory practicals and classroom practicals, with a strong emphasis on informal teaching, discussion, and the acquisition of practical skills. Assessment is through a mixture of essays, reports, examination, and practical projects such as website design and data modelling.

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

Careers

The MSc in Information Science prepares students for management roles in the information industries with an emphasis on technology, for example: information systems manager, systems librarian, web manager, information architect, knowledge manager, data manager, or indeed any information management role. Our graduates find work all over the world with electronic systems for managing, retrieving, distributing and archiving information.

Recent career destinations for this degree

  • Digital Delivery Co-ordinator, Macmillan
  • Engineer, Formosa Soft
  • Research Services Librarian, Slaughter and May
  • Technology Auditor, The Royal Bank of Scotland (RBS)
  • Executive Director, Open Planets Foundation

Employability

This programme challenges students to think more deeply about the implications of using information technology of all kinds in the workplace, and to consider better ways of designing, specifying, implementing and managing systems in order to promote organisational success. Understanding these issues and having the skills to develop and manage practical solutions equips our students to succeed individually and to help their organisations succeed. Our students achieve a high employability rate on graduating, and rise in organisations as their skills are recognised. Many past students now occupy senior positions in the information world in government, commerce, industry and academia.

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 Information Studies combines the best of traditional library and archive studies with the latest developments in internet technologies and electronic communication and publishing.

It brings together an outstanding team of researchers, teachers, students, practitioners and information industry leaders to help you understand, develop and shape the emerging information environment while elucidating and building on the historical developments that have created it.

Students benefit from UCL's central London location, close to many major libraries and repositories and information centres, including the British Library and many specialist collections, giving ready access to an unsurpassed range of materials.

Accreditation

Both the MSc and PG Diploma programmes are recognised and accredited by the Chartered Institute of Library and Information Professionals (CILIP), for professional qualifications purposes.

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: Information Studies

68% 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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