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Data Visualisation MASc/PGDip

University of Warwick

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Course options

  • Qualification

    MSc - Master of Science

  • Location

    University of Warwick

  • Study mode

    Full time

  • Start date

    01-SEP-25

  • Duration

    1 year

Course summary

Explore our Data Visualisation taught Master's degree.

Warwick’s Data Visualisation MASc focuses on the skills and knowledge needed to design develop deploy and interpret data visualisations. Open up diverse career opportunities by developing a Data Visualisation portfolio through studies spanning the Sciences Arts Humanities and Social Sciences at the Centre for Interdisciplinary Methodologies.

Course overview

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:

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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.

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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.

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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.

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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.

Your career

Your training in this course puts you in a unique position for exciting job opportunities involving Data Science Analytics GIS and Software Engineering as well as roles in Data Journalism Social Research Science Communication Policy Research Business Intelligence.

Data visualisation specialists are hired throughout the digital and tech sector as well as in health and civil services media and publishing all the way to design and communications. Visualisation job roles blur the boundaries between disciplinary backgrounds producing exciting careers combining expertise in data statistics and interfaces communications and decision making.

Tuition fees

Students living in United States
(International fees)

£ 27,490per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

University image

University of Warwick

  • University League Table

    10th

  • Campus address

    University of Warwick, University of Warwick Coventry, Coventry, Coventry, CV4 7AL, England

Students come to Warwick from approximately 150 countries.
Many scholarships available for overseas students.
On and off-campus accommodation options available.

Subject rankings

  • Subject ranking

    4th out of 65

  • Entry standards

    / Max 234
    206 88%

    10th

  • Graduate prospects

    / Max 100
    90.0 90%

    7th

  • Student satisfaction

    / Max 4
    3.22 80%

    16th

    1

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