Middlesex University

Visual Analytics MSc by Research

4.5 excelente 1 opinión
Middlesex University
En London (England)

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Información importante

Tipología Master
Lugar London (England)
Duración 1
Inicio Octubre 2020
  • Master
  • London (England)
  • Duración:
  • Inicio:
    Octubre 2020

Visual analytics is a key requirement of the early 21st century. As our human activity generates rapidly increasing amounts of new data every day, there is an urgent need to make sense of it and a huge potential to elicit new knowledge and insights from it.
Why study MSc by Research Visual Analytics at Middlesex University?
World events and phenomena like climate change, 9/11, global finance systems and public health are data rich and increasingly complex. Visual analytics turns large and complex, data sets into interactive visualisations that can prompt visceral comprehension and moments of insight that are compelling and offer an unparalleled richness of possibility for data analysts. In this uncharted world of boundless data, visual analytics is providing our new maps and new ways of navigating. Data analytics is recognised as a key trend that will have a major impact on the IT and Communications industry in the next 5 years
Middlesex University is the recognised centre for excellence in visual analytics the UK and leads the UK Visual Analytics Consortium (UKVAC). This group is working at the leading edge of Visual Analytics and works on a global basis. The UK partners are: Imperial College, University College London (UCL), Swansea, Bangor and Oxford Universities..
We are growing our community of practice in visual analytics and this is a chance to join our team, to work alongside some of the best UK researchers and to get involved in leading edge work. The course will build your professional network, your understanding and your portfolio of experience. Visual Analytics is an interdisciplinary, creative and technical activity. That's why we've built a masters course that is unique. You'll be working for most of the time on your own research and development project, supported by great supervisors, and connecting with new people, theories and practices through workshops that are spread throughout the year



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The Burroughs, NW4 4BT


Oct-2020 Matrícula abierta


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Lo mejor: If you have to write essays for your course of studies,do hand them in in advance so that your tutor can read them before the final deadline and give you feedback. I would recommend the same to all.
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Curso realizado: Marzo 2017
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¿Qué aprendes en este curso?

Data analysis
Human Perception
Information Visualisation
System Modelling
Operational Issues


Course content

What will you study on the MSc by Research Visual Analytics?

This unique, research-based course doesn’t follow the traditional model of lectures, examinations and thesis writing. We will induct you into our community through an ongoing series of workshops and then help you to build a project that meets your current needs and future plans.

We’ll also tailor learning experiences for you to fill identified gaps in your knowledge and to prepare you for novel application areas. We’d expect your project to be greeted with interest in the academic sector and to give you the leverage that you need in the jobs market place.

The normal study period with us will be 12 months full time or 24 months part time. We do not offer this course by distance learning as we need you to be fully engaged with our community and working actively with your peer group; visual analytics is moving fast and we intend to stay at the leading edge.

Workshop schedule

Logic and Sense-Making

How do we reason about the world, and how do we make sense of the information that is presented to us?

Human Perception and Information Visualisation

How does human visual perception work, and how do we navigate, interact and evaluate in domains that present information visually. What modalities can we use to represent information about entities and their relationships (e.g. temporal, locative, etc), and how do these modalities impact on human processes?

HCI and System Modelling

How do we apply the principles of user and activity centred design to VA systems? How do we design representations that support decision making? How do we determine what relationships in the data sets should be represented? How do we design the interactions that simplify analytical procedures, evidence collation and conclusion formation?

Visual Analytics System Architecture

How do we design system architectures that bring together complex data sets so that they can be visualised to support intended applications? This could include areas such as data integrity, data granularity and data provenance.

Operational Issues and e-Discovery

How do visual analytics systems integrate into real working practices, with particular reference to environments where they will be used for e-Discovery such as complex documentation sets?

Data Analysis and Knowledge Engineering

Advanced techniques for analysing data sets and extracting knowledge.

In addition, there will be a series of supporting seminars to cover required areas of research methods, mathematical skills and programming.

You can find more information about this course in the programme specification. Module and programme information is indicative and may be subject to change.