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University of Warwick: Data Visualisation
| Institution | University of Warwick View institution profile |
|---|---|
| Department | Interdisciplinary Methodologies |
| Web | https://warwick.ac.uk/ |
| Study type | Taught |
Doctor of Philosophy - PhD
Summary
Important information We are planning to make some changes to our Data Visualisation (PhD) for 2026 entry. Changes are currently undergoing approval through the University's rigorous academic processes. As any changes are confirmed, they will be included on this webpage. It is therefore very important that you check this webpage for the latest information before you apply and prior to accepting an offer.
Science, industry and society need people with advanced data visualization capabilities. Studying for a PhD in visualisation at the Centre for Interdisciplinary Methodologies (CIM) at Warwick is an opportunity to undertake world-leading doctoral research and join a cohort of future leaders in data visualization.
The Data Visualisation PhD programme provides you with the academic and professional opportunities to develop as an independent, creative and impactful researcher who can contribute to knowledge and research at the forefront of data visualisation and data science research.
You will pursue a programme of study consisting of several doctoral level components. These components will ordinarily be in the form of research projects undertaken with either external organisations (commercial, not-for-profit or academic) or internal academic units. You will document and develop your research in interactive digital notebooks in line with best practice in data visualization research and submit your notebook as a digital thesis for examination.
Within this PhD, you will join the cohort of EPSRC Diversity in Data Visualization Centre for Doctoral Training, DIVERSE CDTLink opens in a new window that is co-hosted at CIM at Warwick together with City, St Georges, University of London. As well as the interdisciplinary academics at CIM, you will interact with the whole academic team of DIVERSE CDT across the two universities during your studies.
CIM is one of the very few places where the development of interdisciplinary methodology is the focus. Data Visualisation is a key research area for several academics at CIM and you will benefit from tailored guidance from academics and professional staff with experience and expertise in the challenges of interdisciplinary data visualisation research and interdisciplinary methods overall.
Teaching and learning The PhD Data Visualization requires the completion of a structured programme of research comprising a minimum of two component research projects, a review of visualization research and practice, and a synthesising narrative. Your submitted digital thesis must demonstrate in-depth knowledge and study of the field; originality of thought, either in the creation of new knowledge or in the novel application of existing knowledge; and the suitability of the research for publication in peer-reviewed venues.
Supervision will be provided by top academic researchers with significant experience in undertaking research and contributing to methodology development across a range of disciplines, topics, methods.
You will be expected to attend subject-specific and generic training across the period of your PhD all four years of the PhD programme. This will include training in data visualization design and production, responsible research, research ethics, equality, diversity and inclusion, intellectual property, and careers development. You will develop the four core areas identified in the Vitae Researcher Development Framework: knowledge and intellectual abilities; personal effectiveness; research governance and organisation; and engagement, influence and impact.
As CIM is a research centre, PhD students are exposed and contribute to a vibrant research environment, which includes:
-
PhD seminars
-
Workshops
-
Lectures
-
Work-in-progress forums
-
Study visits
Students may also participate in research projects based in CIM, and gain teaching experience.
| Level | RQF Level 8 |
|---|---|
| Entry requirements | 2:1 undergraduate degree in a related subject. |
| Location | Main Site Academic Office University Road Coventry CV4 7AL |
Summary
Important information We are planning to make some changes to our Data Visualisation (PhD) for 2026 entry. Changes are currently undergoing approval through the University's rigorous academic processes. As any changes are confirmed, they will be included on this webpage. It is therefore very important that you check this webpage for the latest information before you apply and prior to accepting an offer.
Science, industry and society need people with advanced data visualization capabilities. Studying for a PhD in visualisation at the Centre for Interdisciplinary Methodologies (CIM) at Warwick is an opportunity to undertake world-leading doctoral research and join a cohort of future leaders in data visualization.
The Data Visualisation PhD programme provides you with the academic and professional opportunities to develop as an independent, creative and impactful researcher who can contribute to knowledge and research at the forefront of data visualisation and data science research.
You will pursue a programme of study consisting of several doctoral level components. These components will ordinarily be in the form of research projects undertaken with either external organisations (commercial, not-for-profit or academic) or internal academic units. You will document and develop your research in interactive digital notebooks in line with best practice in data visualization research and submit your notebook as a digital thesis for examination.
Within this PhD, you will join the cohort of EPSRC Diversity in Data Visualization Centre for Doctoral Training, DIVERSE CDTLink opens in a new window that is co-hosted at CIM at Warwick together with City, St Georges, University of London. As well as the interdisciplinary academics at CIM, you will interact with the whole academic team of DIVERSE CDT across the two universities during your studies.
CIM is one of the very few places where the development of interdisciplinary methodology is the focus. Data Visualisation is a key research area for several academics at CIM and you will benefit from tailored guidance from academics and professional staff with experience and expertise in the challenges of interdisciplinary data visualisation research and interdisciplinary methods overall.
Teaching and learning The PhD Data Visualization requires the completion of a structured programme of research comprising a minimum of two component research projects, a review of visualization research and practice, and a synthesising narrative. Your submitted digital thesis must demonstrate in-depth knowledge and study of the field; originality of thought, either in the creation of new knowledge or in the novel application of existing knowledge; and the suitability of the research for publication in peer-reviewed venues.
Supervision will be provided by top academic researchers with significant experience in undertaking research and contributing to methodology development across a range of disciplines, topics, methods.
You will be expected to attend subject-specific and generic training across the period of your PhD all four years of the PhD programme. This will include training in data visualization design and production, responsible research, research ethics, equality, diversity and inclusion, intellectual property, and careers development. You will develop the four core areas identified in the Vitae Researcher Development Framework: knowledge and intellectual abilities; personal effectiveness; research governance and organisation; and engagement, influence and impact.
As CIM is a research centre, PhD students are exposed and contribute to a vibrant research environment, which includes:
-
PhD seminars
-
Workshops
-
Lectures
-
Work-in-progress forums
-
Study visits
Students may also participate in research projects based in CIM, and gain teaching experience.
| Level | RQF Level 8 |
|---|---|
| Entry requirements | 2:1 undergraduate degree in a related subject. |
| Location | Main Site Academic Office University Road Coventry CV4 7AL |
MA
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.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | **Minimum requirements** **English language requirements** **International qualifications** |
| Location | Main Site Academic Office University Road Coventry CV4 7AL |
MASc
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.
| Level | NFQ Level 7 |
|---|
MSc
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.
Master of Arts and Science (MASc)
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.
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:
-
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 2026 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.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Minimum requirements English language requirements Band B International qualifications |
| Location | Main Site Academic Office University Road Coventry CV4 7AL |
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.
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:
-
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 2026 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.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Minimum requirements English language requirements Band B International qualifications |
| Location | Main Site Academic Office University Road Coventry CV4 7AL |
Master of Arts or Master of Science - MA/MSc
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.
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:
-
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 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.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Minimum requirements English language requirements Band B International qualifications |
| Location | Main Site Academic Office University Road Coventry CV4 7AL |
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.
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:
-
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 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.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Minimum requirements English language requirements Band B International qualifications |
| Location | Main Site Academic Office University Road Coventry CV4 7AL |
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.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | **Minimum requirements** **English language requirements** **International qualifications** |
| Location | Main Site Academic Office University Road Coventry CV4 7AL |
Postgraduate Diploma - PgDip
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.
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:
-
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 2026 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.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Minimum requirements English language requirements Band B International qualifications |
| Location | Main Site Academic Office University Road Coventry CV4 7AL |
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.
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:
-
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 2026 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.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Minimum requirements English language requirements Band B International qualifications |
| Location | Main Site Academic Office University Road Coventry CV4 7AL |
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.
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:
-
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 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.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Minimum requirements English language requirements Band B International qualifications |
| Location | Main Site Academic Office University Road Coventry CV4 7AL |
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.
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:
-
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 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.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Minimum requirements English language requirements Band B International qualifications |
| Location | Main Site Academic Office University Road Coventry CV4 7AL |
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.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | **Minimum requirements** **English language requirements** **International qualifications** |
| Location | Main Site Academic Office University Road Coventry CV4 7AL |
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.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | **Minimum requirements** **English language requirements** **International qualifications** |
| Location | Main Site Academic Office University Road Coventry CV4 7AL |
Founded in 1965, the University of Warwick is ranked 74th in the QS World University Guide 2026, is the youngest member of the Russell Group and are listed within the top ten UK universities in all three major national league tables. However, we are so much more than our rankings.
We are renowned for seeking out and addressing complex global challenges with era-defining innovative thinking. A connected ecosystem of staff, students and alumni, the University fosters transformative learning, interdisciplinary collaboration and bold industry partnerships across state-of-the-art facilities in the UK and global satellite hubs.
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