Taught course

Data Visualisation MASc/PGDip

University of Warwick · Centre for Interdisciplinary Methodologies

Entry requirements

  • 2:1 undergraduate degree (or equivalent). There is no requirement for prior knowledge of coding or programming.

English language requirements

You can find out more about our English language requirements. This course requires the following:

    • Band B
    • IELTS overall score of 7.0, minimum component scores of two at 6.0/6.5 and the rest at 7.0 or above.

Months of entry


Course content

The MASc in Data Visualisation is an innovative, interdisciplinary course which enables students to acquire crucial knowledge and skills in visualisation as a methodology for data-intensive research, communication and engagement. Students will be trained in concepts, methods and techniques from data science, digital humanities and design research, whilst developing a portfolio of work that prepares them for diverse career opportunities.

The programme aims to develop the methodological, conceptual and practical skills needed to design, deploy and interpret data visualisations successfully in academic, policy and public contexts. The course combines academic training in methodological and conceptual aspects with the development of technical, creative and practical competences in data visualisation as a way of communicating knowledge, as a form of engagement, and as a way of seeing the world.

During the programme you will develop:

  • End-to-end skills and joined-up understanding that enable you to design, create and code visualisations, work with data, and analyse and understand your data visualisations and those of others.
  • Critical, interdisciplinary perspectives required by employers, that integrate expertise in tools, techniques, knowledges and methods of analysis, leading to a 360 view of what data visualisations are and do, and the limits of this medium.
  • A portfolio of work to kickstart your career progressed through diverse projects in your modules, a practice- or theory-led dissertation, and within the Data-Design Camp.
  • Expertise in the interactions between Data + Code + Design + Theory developed through learn to code as a basis for creating visualisations, as well as furthering your understanding of visualisations through critique and analysis.

What is an MASc?

The MASc is a flexible degree where students customise their learning trajectory through interdisciplinary topics and modules that might usually be isolated to either MA or MSc qualifications. Through optional module choices, project directions and final dissertation, you can tune your degree to fit your learning and career goals.

Skills from this degree

  • Coding and software skills for visualisation
  • Design and visual analysis skills building on the fundamentals of data visualisation
  • Substantial design experience through project work
  • Analytical skills to conceptually frame and relate visualisation designs to wider societal, cultural, and political debates
  • Writing and communication skills for analysis/discussing technical content
  • Critical academic research skills with an interdisciplinary focus

Fees and funding

See University website

Qualification, course duration and attendance options

  • MASc
    full time
    12 months
    • Campus-based learningis available for this qualification
    • Distance learningis available for this qualification
    part time
    24 months
    • Campus-based learningis available for this qualification
    • Distance learningis available for this qualification
  • PGDip
    part time
    18 months
    • Campus-based learningis available for this qualification
    full time
    9 months
    • Campus-based learningis available for this qualification

Course contact details

PG Recruitment