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, communic...
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.<br/><br/>**Course overview**<br/>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.<br/><br/>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.<br/><br/>During the programme you will develop:<br/><br/><br/>- 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.<br/><br/><br/>- 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.<br/><br/><br/>- 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.<br/><br/><br/>- 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.<br/><br/><br/>**What is an MASc?**<br/><br/>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.<br/><br/>**Skills from this degree**<br/>- Coding and software skills for visualisation<br/><br/><br/>- Design and visual analysis skills building on the fundamentals of data visualisation<br/><br/><br/>- Substantial design experience through project work<br/><br/><br/>- Analytical skills to conceptually frame and relate visualisation designs to wider societal, cultural, and political debates<br/><br/><br/>- Writing and communication skills for analysis/discussing technical content<br/><br/><br/>- Critical academic research skills with an interdisciplinary focus<br/><br/><br/>This information is applicable for 2025 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.
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Course Details
Information
Study Mode
Full-time
Duration
1 Years
Start Date
29/09/2025
Campus
Main Site
Application deadline
Provider Details
Codes/info
Course Code
Unknown
Institution Code
W20
Points of Entry
Unknown
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