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Data Visualisation at University of Warwick - UCAS

Course options

2024 - 20252025 - 2026
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There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

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. 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
This information is applicable for 2024 entry. Given the interval between the publication of courses and enrolment, some of the information may change. It is important to check our website before you apply.

Modules

Core modules

  • Visualisation Foundations
  • Data Visualisation in Science, Culture and Public Policy
  • Advanced Visualisation Design Labs
Optional modules Optional modules can vary from year to year. Example optional modules may include:
  • Data Science Across Disciplines: Principles, Practice and Critique
  • User Interface Cultures: Design, Method and Critique
  • Generative AI: Histories, Techniques, Cultures and Impacts
  • Urban Data
  • Interdisciplinary Approaches to Machine Learning
  • Media Activism
  • Approaches to the Digital
  • Complexity in the Social Sciences
  • Digital Objects, Digital Methods
- Big Data Research: Hype or Revolution?

Assessment method

A combination of essays, reports, design projects, a portfolio, technical report writing, practice assessments, group work and presentations and an individual research project (5,000 word Final Project, MASc only).

Entry requirements

**Minimum requirements** 2:i 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. **International qualifications** We welcome applications from students with other internationally recognised qualifications.

Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

Please visit the University of Warwick website for the tuition fees for postgraduate courses: https://warwick.ac.uk/study/postgraduate/funding/fees

Sponsorship information

We offer a variety of postgraduate funding options for study at the University of Warwick, from postgraduate loans, university scholarships, fee awards, to academic department bursaries. It's important that you apply for your postgraduate course first before you apply for a University of Warwick scholarship.

Data Visualisation at University of Warwick - UCAS