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

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

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

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

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

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

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

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

What you will study

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

Cloud Computing and Web Services

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

Big Data Landscape

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

Data Analytics

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

Big Data Platforms

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

Internet of Things

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

IT Professional Issues and Project Methods

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

Masters Dissertation

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

Work placements

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

Assessment methods

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

Graduate prospects

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



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IN BRIEF. Work as a ‘reflective practitioner’ showing awareness of and engagement with wider policy. Understand and evaluate theory and practical application of Cognitive Behaviour Therapy (CBT). Read more

IN BRIEF:

  • Work as a ‘reflective practitioner’ showing awareness of and engagement with wider policy
  • Understand and evaluate theory and practical application of Cognitive Behaviour Therapy (CBT)
  • Supplements prior therapeutic training
  • A part-time only course
  • Work/industrial placement opportunity
  • Clinical placement opportunity

COURSE SUMMARY

This course provides an opportunity for a variety of health care professionals to undertake a theoretical and practical course.

It has a distinctive niche in the current market as a conversion course to CBT theory and skills for the experienced health professional, and supplements prior therapeutic training. You will produce a reflective practice portfolio that may enable you to work towards your British Association for Behavioural and Cognitive Psychotherapies (BABCP) practitioner accreditation, and further study at Postgraduate Diploma level 2.

Module learning outcomes have been designed inline with BABCP competencies.

TEACHING

Find out more about certain aspects of counselling with our short 2 Minute Psychotherapy Lectures from Dr Mark Widdowson, lecturer in counselling and psychotherapy at the University of Salford.

Transactional Analysis

Life Script

Ego States

ASSESSMENT

  • 3,000 word theoretical and reflective essay
  • Live assessment from peers and tutors on CBT skills
  • Reflective Practice Portfolio which includes 20 hours of supervised skills practice

CAREER PROSPECTS

National Institute for Clinical Excellence (NICE) stipulates CBT as the therapy of choice for anxiety, depression, addictive behaviour and anxiety disorders. This course supplements counsellors, psychotherapists and health care professionals training, leading to increased employability opportunities.



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We understand how difficult it can be for busy professionals to develop their knowledge and expertise, and this course recognises this fact. Read more
We understand how difficult it can be for busy professionals to develop their knowledge and expertise, and this course recognises this fact.

Each unit combines two or five study days which provide opportunities to engage in a real-life clinical environment and work-related development activities.

Over a three month period, our experienced and supportive course team will help you develop a critical, analytic and reflective stance towards medical and healthcare education, with a particular focus on the use of simulation.

Why choose this course?

- Study the thinking behind the use of simulation and the ways in which its educational use can be enhanced
- Explore and rehearse approaches to the use of medical and clinical simulation in our state-of-the-art simulation centre, and tailor assessments inline with professional interests and needs
- Develop the skills to independently evaluate relevant research, scholarship and practice, and deal with the complexities, contradictions and gaps in the current evidence base
- Gain a purposeful and professional approach to the design and facilitation of simulated learning scenarios, including an awareness of personal responsibility and professional codes of conduct
- Benefit from a systematic understanding of the wide range of learning, teaching and assessment methods that may be used in simulated settings, and learn now to selectively and effectively use these in your practice.

Visit the website: https://www.beds.ac.uk/howtoapply/courses/postgraduate/next-year/medical-simulation

Course detail

The course focuses on a critical approach to simulation and its uses. This is a flexible, blended learning programme designed with the needs of busy medical and healthcare professionals in mind.

The course is composed of the core unit (where you also spend time in the University simulation centre) plus one second optional unit (either Workplace Based Learning or Contemporary Educational Perspectives) and is designed to help you develop a sound theoretical basis to your practice as a medical educator, both within simulation and in your wider role as a clinical educator.

Modules

The PgCert in Medical Simulation is obtained by attending and passing two units:

• The core unit (Simulation in Practice)
and either:
• Workplace Based Learning, or
• Educational Perspectives for the Workplace

Both these units shift from a focus on teaching to broader issues of curriculum, educational theory and how these relate to learning and teaching at work.

Assessment

You will be assessed using formative and summative elements i.e. assessment for learning and assessment of learning. It is designed to foster strong links between learning on the course and the lived realities of medical, dental and healthcare educators working in higher and professional education contexts.

Careers

The course is endorsed by the Academy of Medical Educators; this means on successful completion you can apply for membership through the ‘fast track’ accredited course route. The course therefore provides a sound basis for evidencing your competence as a medical, dental or healthcare educator and trainer using Simulation.

The course enables you to adopt a critical stance to your own and others’ educational practice and to propose ways to enhance student and trainee learning experiences. You will rehearse these skills through opportunities for hands-on simulation activities and online work. This course will equip you with the skills and understanding to provide excellent and enjoyable training opportunities using simulation to less-experienced professionals in your field.

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

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

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

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

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

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

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

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

What you will study

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

Cloud Computing and Web Services

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

Big Data Landscape

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

Data Analytics

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

Big Data Platforms

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

Internet of Things

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

IT Professional Issues and Project Methods

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

Masters Dissertation

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

Work placements

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

Assessment methods

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

Graduate prospects

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



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

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

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

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

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

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

What you will study

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

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

Cloud Computing and Web Services

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

Cloud Virtualisation Security

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

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

Big Data Landscape

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

Cloud Software Engineering

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

Internet of Things

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

IT Professional Issues and Project Methods

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

Masters Dissertation

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

Placements

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

Assessment methods

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

Graduate prospects

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

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



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Taught by leaders in their field, this Masters programme provides you with the opportunity to investigate all proponents of fine art and its practice in production, material intervention, media and curation. Read more
Taught by leaders in their field, this Masters programme provides you with the opportunity to investigate all proponents of fine art and its practice in production, material intervention, media and curation.

-Course available to study full time (1 year) and part time (2 years, day study)
-Develop your work in state-of-the-art workspaces and facilities within the modern, purpose-built and RIBA award-winning John Lennon -Art and Design Building
-Direct links with Liverpool’s most significant arts organisations, such as TATE Liverpool, Biennial, Bluecoat and FACT
-Career opportunities through networking and collaboration in professional fields
-Studio space provided for full-time students

LJMU’s Masters in Fine Art provides an opportunity for a small group of students, from a diverse range of backgrounds, to develop their practice in relation to a global context that is filtered through the rich artistic infrastructure of Liverpool.
The programme is open to those wishing to develop a broad range of practices, including the production of objects and material interventions, the development of media-based projects and those wishing to pursue critical, theoretical and curatorially-based approaches. Taking Liverpool as a starting point, the programme explores wider questions of art production, distribution and reflection in an age of globalisation.

The course encourages artistic research and the development of new ways of working which challenge our assumptions around culture, identity and ecology. Taught in consultation with significant international institutions such as Liverpool Biennial, Tate Liverpool and FACT, the MA Fine Art offers unique access to specialist knowledge and experience of working in the public realm, museums and galleries and with technology.

The course is offered full (1 year) and part time (2 years). As a full-time student you will be offered studio space at the School’s John Lennon Art and Design Building.

You will have around nine hours guided learning each week, although we would expect your self-directed input to be substantially more. There will also be blocks of time scheduled for concentrated research activity, critique and symposium throughout the programme.

Master projects will be realised within curated events held in and around Liverpool. 2016 MA students recently held a show at The Royal Standard, titled Fantastic Rubbish

What you will study on this degree

Please see guidance below on core and option modules for further information on what you will study.

Studio practice

This will help you to develop your practice in relation to your own concerns and locate it within the broader context of Contemporary Fine Art practice

Collaborative practice

You will be introduced to various strategies, examples and processes in the planning and delivery of art project initiatives. Through collaborative practice you will test and develop a relevant working process within the safe environment of the Fine Art peer group

Research and Practice 1 and 2

You will select topics relevant to your practice and overall concerns in consultation with tutors. These could be particular artists, biennial and survey themes, arts policy and infrastructure, or your own work. Research and writing will be supported by tutorials and writing workshop

Major project

Develop an initial proposal through to an exhibition or equivalent, developing a body of work and reflection along the way

Further guidance on modules

The information listed in the section entitled ‘What you will study’ is an overview of the academic content of the programme that will take the form of either core or option modules. Modules are designated as core or option in accordance with professional body requirements and internal Academic Framework review, so may be subject to change. Students will be required to undertake modules that the University designates as core and will have a choice of designated option modules. Additionally, option modules may be offered subject to meeting minimum student numbers.

Academic Framework reviews are conducted by LJMU from time to time to ensure that academic standards continue to be maintained.

Please email if you require further guidance or clarification.

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