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MSc by Research Visual Analytics MSc by Research Visual Analytics Middlesex University

Middlesex University

Masters Degree , Research Skills

Course Description

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. You'll leave with unique insights, strong skills and great contacts; you'll also pick up an MSc along the way.

Course Content

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

  • Human Perception and Information Visualisation

  • HCI and System Modelling

  • Visual Analytics System Architecture

  • Operational Issues and e-Discovery

  • Data Analysis and Knowledge Engineering

 

Entry Requirements

Qualifications

  • We are interested in people with backgrounds in subjects involving considerable analytic skills, such as Computer Science, Mathematics, Psychology or Physical Science
  • Some experience of programming is required, or a willingness to learn prior to embarking on the course.

Further requirements

Visual Analytics is an interdisciplinary activity that requires creativity and technical knowledge and skill. It is a human centred activity and is developing rapidly. There are opportunities for a broad range of specialists to make a productive contribution and a future career.

Eligibility

UK/EU and international students are eligible to apply for this course.

Academic credit for previous study or experience

If you have relevant qualifications or work experience, academic credit may be awarded towards your Middlesex University programme of study. For further information please visit our Accreditation of Prior Learning page.

Interviews, entrance tests, portfolios and auditions

Each application will be considered on its individual merits and suitably qualified candidates will be invited for interview. Successful applicants may enrol to begin their studies at the start of any of the three terms during the academic year.

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