find your perfect postgrad program
Search our Database of 30,000 Courses
University of Warwick: Data Visualisation
Institution | University of Warwick View institution profile |
---|---|
Department | Interdisciplinary Methodologies |
Web | https://warwick.ac.uk/ |
Student.recruitment@warwick.ac.uk | |
Telephone | 02476 524585 |
Study type | Taught |
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 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.
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
**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 across 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 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, integrating expertise in tools, techniques, knowledges and methods of analysis which lead 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
Level | RQF Level 7 |
---|---|
Entry requirements | **Minimum requirements** **English language requirements** **International qualifications** |
Location | Main Site Academic Office University Road Coventry CV4 7AL |
Summary
**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 across 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 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, integrating expertise in tools, techniques, knowledges and methods of analysis which lead 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
Level | RQF Level 7 |
---|---|
Entry requirements | **Minimum requirements** **English language requirements** **International qualifications** |
Location | Main Site Academic Office University Road Coventry CV4 7AL |
Summary
**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 across 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 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, integrating expertise in tools, techniques, knowledges and methods of analysis which lead 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
Level | RQF Level 7 |
---|---|
Entry requirements | **Minimum requirements** **English language requirements** **International qualifications** |
Location | Main Site Academic Office University Road Coventry CV4 7AL |
Summary
**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 across 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 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, integrating expertise in tools, techniques, knowledges and methods of analysis which lead 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
Level | RQF Level 7 |
---|---|
Entry requirements | **Minimum requirements** **English language requirements** **International qualifications** |
Location | Main Site Academic Office University Road Coventry CV4 7AL |
Postgraduate Certificate - PgCert
Summary
**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 across 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 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, integrating expertise in tools, techniques, knowledges and methods of analysis which lead 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
Level | RQF Level 7 |
---|---|
Entry requirements | **Minimum requirements** **English language requirements** **International qualifications** |
Location | Main Site Academic Office University Road Coventry CV4 7AL |
Summary
**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 across 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 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, integrating expertise in tools, techniques, knowledges and methods of analysis which lead 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
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.
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 |
Summary
**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 across 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 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, integrating expertise in tools, techniques, knowledges and methods of analysis which lead 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
Level | RQF Level 7 |
---|---|
Entry requirements | **Minimum requirements** **English language requirements** **International qualifications** |
Location | Main Site Academic Office University Road Coventry CV4 7AL |
Summary
**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 across 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 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, integrating expertise in tools, techniques, knowledges and methods of analysis which lead 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
Level | RQF Level 7 |
---|---|
Entry requirements | **Minimum requirements** **English language requirements** **International qualifications** |
Location | Main Site Academic Office University Road Coventry CV4 7AL |
Summary
**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 across 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 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, integrating expertise in tools, techniques, knowledges and methods of analysis which lead 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
Level | RQF Level 7 |
---|---|
Entry requirements | **Minimum requirements** **English language requirements** **International qualifications** |
Location | Main Site Academic Office University Road Coventry CV4 7AL |
Summary
**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 across 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 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, integrating expertise in tools, techniques, knowledges and methods of analysis which lead 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
Level | RQF Level 7 |
---|---|
Entry requirements | **Minimum requirements** **English language requirements** **International qualifications** |
Location | Main Site Academic Office University Road Coventry CV4 7AL |
The University of Warwick is a world-class campus university, renowned for its excellent teaching and ground-breaking research. We are ranked 64th in the QS World University Guide 2023 and listed within the top ten UK universities in all three major national league tables. However, we are so much more than our rankings.
We provide a platform for the curious; we inspire, we excite, and we invigorate. Our students are our priority and at Warwick, they are challenged, supported, and guided by some of the world's finest minds. Whether you want to aim for a successful career after study or take …
View ProfileNot what you are looking for?
Search our comprehensive database of postgrad programs.Postgraduate Bursary Opportunity with Postgrad.com
Are you studying as a PG student at the moment or have you recently been accepted on a postgraduate program? Apply now for one of our £2000 PGS bursaries.
Click here