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Data Visualisation MASc/PGDip

Postgraduate Taught

Course code

P-L995 (MASc);

P-L996 (PGDip)

Start date

27 September 2027

Study location

University of Warwick

Qualification

Master of Arts and Science (MASc)

Postgraduate Diploma (PGDip)

Department

Centre for Interdisciplinary Methodologies

Duration

1 year full-time or 2 years part-time (MASc); 9 months full-time or 21 months part-time (PGDip)

Course overview

Turn complex data into clear insights.

Data visualisation helps us understand, communicate and act on complex information. Our innovative MASc combines data science, design and critical thinking to build your data visualisation skills for effective research and communication. Through practical projects and interdisciplinary study, you’ll build a portfolio of work that can kick-start your career in the academic or public sector.

An academic speaking to students at an indoor event at the Data Design Camp

Modules

Develop your design skills and explore the principles, methods and tools used to communicate data effectively.

  • End-to-end skills: design, create and code visualisations.
  • Interdisciplinary perspectives: integrate expertise in tools, techniques, knowledge and methods of analysis.
  • Visual analysis: learn how to interpret, critique and evaluate visual representations of data.
  • Portfolio: build a body of practical work through modules, a personal research project and the Data Design Camp.

Note that information found by following the links to the module catalogue is subject to change for future years of study, as we evolve our courses in response to the latest developments in academia and industry.


Optional modules vary from year to year, and students choose combinations worth 30-50 CATs based on their core module credit values. The links below are to the 20-CAT (credit) versions, but many are available at 15 and 30 CATs. Example optional modules may include:

Teaching and learning

Combine practical experience with critical understanding.

  • Hands-on projects: design and develop visualisations using industry-relevant tools and techniques.
  • Interdisciplinary learning: draw on approaches from data science, design, humanities and social sciences.
  • Creative and technical skills: develop expertise in coding and design.
  • Communication skills: learn how to present and discuss technical content.
  • Personalised learning: tailor your studies through our optional module choices.

Entry requirements

Fees and scholarships

Tuition fees are payable for each year of your course at the start of the academic year, or at the start of your course, if later. Academic fees cover the cost of tuition, examinations and assessment and some student amenities.

Find your course fees

About the department

Careers

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How to apply checklist

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