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University of Warwick: Big Data and Digital Futures
| Institution | University of Warwick View institution profile |
|---|---|
| Department | Interdisciplinary Methodologies |
| Web | https://warwick.ac.uk/ |
| Study type | Taught |
MSc
Summary
Join Warwick's Big Data and Digital Futures MSc/PGDip and learn to critically engage with big data. The Centre for Interdisciplinary Methodologies works across disciplines, drawing from the Arts, Humanities, Social Sciences and Sciences, to answer employers' demands for a new generation of researchers.
Course overview This degree responds directly to the growing demand across research fields and by employers in society for a new generation of postgraduates who can critically engage with big data theoretically, methodologically and practically. In contrast to many big data-focused degrees (such as Data Science or Data Analytics) where the emphasis is almost exclusively on data practices and computational tools, this degree underpins key practical skills with a range of theoretical approaches to data.
How is our world influenced by big data? How are our lives represented in big data? This course will enable you, whatever your disciplinary background, to understand and act in a society transformed by data, networks and computation and develop a range of interdisciplinary capacities.
Our course offers you: - Core knowledge in statistical modelling and programming for data-driven careers
-
An extensive understanding of the relationship between big data technology and society
-
Practical and critical application of these techniques to cutting-edge methods across the data spectrum
-
Python and R programming skills (using RStudio)
-
Introductory Data Science and Machine Learning / AI techniques, including Generative AI
-
Statistics in Social Science (up to multiple linear regression and logistic regression)
-
Advanced Statistics (generalised linear models, multilevel modelling and casual inference)
-
Basics in Social Network Analysis, Web Scraping, Reproducible Analysis, Data Visualisation, SQL, Deep Learning, Agent-Based Modelling
-
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
Join Warwick's Big Data and Digital Futures MSc/PGDip and learn to critically engage with big data. The Centre for Interdisciplinary Methodologies works across disciplines, drawing from the Arts, Humanities, Social Sciences and Sciences, to answer employers' demands for a new generation of researchers.
Course overview This degree responds directly to the growing demand across research fields and by employers in society for a new generation of postgraduates who can critically engage with big data theoretically, methodologically and practically. In contrast to many big data-focused degrees (such as Data Science or Data Analytics) where the emphasis is almost exclusively on data practices and computational tools, this degree underpins key practical skills with a range of theoretical approaches to data.
How is our world influenced by big data? How are our lives represented in big data? This course will enable you, whatever your disciplinary background, to understand and act in a society transformed by data, networks and computation and develop a range of interdisciplinary capacities.
Our course offers you: - Core knowledge in statistical modelling and programming for data-driven careers
-
An extensive understanding of the relationship between big data technology and society
-
Practical and critical application of these techniques to cutting-edge methods across the data spectrum
-
Python and R programming skills (using RStudio)
-
Introductory Data Science and Machine Learning / AI techniques, including Generative AI
-
Statistics in Social Science (up to multiple linear regression and logistic regression)
-
Advanced Statistics (generalised linear models, multilevel modelling and casual inference)
-
Basics in Social Network Analysis, Web Scraping, Reproducible Analysis, Data Visualisation, SQL, Deep Learning, Agent-Based Modelling
-
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
Join Warwick's Big Data and Digital Futures MSc/PGDip and learn to critically engage with big data. The Centre for Interdisciplinary Methodologies works across disciplines, drawing from the Arts, Humanities, Social Sciences and Sciences, to answer employers' demands for a new generation of researchers.
Course overview This degree responds directly to the growing demand across research fields and by employers in society for a new generation of postgraduates who can critically engage with big data theoretically, methodologically and practically. In contrast to many big data-focused degrees (such as Data Science or Data Analytics) where the emphasis is almost exclusively on data practices and computational tools, this degree underpins key practical skills with a range of theoretical approaches to data.
How is our world influenced by big data? How are our lives represented in big data? This course will enable you, whatever your disciplinary background, to understand and act in a society transformed by data, networks and computation and develop a range of interdisciplinary capacities.
Our course offers you: - Core knowledge in statistical modelling and programming for data-driven careers
-
An extensive understanding of the relationship between big data technology and society
-
Practical and critical application of these techniques to cutting-edge methods across the data spectrum
-
Python and R programming skills (using RStudio)
-
Introductory Data Science and Machine Learning / AI techniques, including Generative AI
-
Statistics in Social Science (up to multiple linear regression and logistic regression)
-
Advanced Statistics (generalised linear models, multilevel modelling and casual inference)
-
Basics in Social Network Analysis, Web Scraping, Reproducible Analysis, Data Visualisation, SQL, Deep Learning, Agent-Based Modelling
-
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
Join Warwick's Big Data and Digital Futures MSc/PGDip and learn to critically engage with big data. The Centre for Interdisciplinary Methodologies works across disciplines, drawing from the Arts, Humanities, Social Sciences and Sciences, to answer employers' demands for a new generation of researchers.
Course overview This degree responds directly to the growing demand across research fields and by employers in society for a new generation of postgraduates who can critically engage with big data theoretically, methodologically and practically. In contrast to many big data-focused degrees (such as Data Science or Data Analytics) where the emphasis is almost exclusively on data practices and computational tools, this degree underpins key practical skills with a range of theoretical approaches to data.
How is our world influenced by big data? How are our lives represented in big data? This course will enable you, whatever your disciplinary background, to understand and act in a society transformed by data, networks and computation and develop a range of interdisciplinary capacities.
Our course offers you: - Core knowledge in statistical modelling and programming for data-driven careers
-
An extensive understanding of the relationship between big data technology and society
-
Practical and critical application of these techniques to cutting-edge methods across the data spectrum
-
Python and R programming skills (using RStudio)
-
Introductory Data Science and Machine Learning / AI techniques, including Generative AI
-
Statistics in Social Science (up to multiple linear regression and logistic regression)
-
Advanced Statistics (generalised linear models, multilevel modelling and casual inference)
-
Basics in Social Network Analysis, Web Scraping, Reproducible Analysis, Data Visualisation, SQL, Deep Learning, Agent-Based Modelling
-
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 |
Postgraduate Diploma - PgDip
Summary
Join Warwick's Big Data and Digital Futures MSc/PGDip and learn to critically engage with big data. The Centre for Interdisciplinary Methodologies works across disciplines, drawing from the Arts, Humanities, Social Sciences and Sciences, to answer employers' demands for a new generation of researchers.
Course overview This degree responds directly to the growing demand across research fields and by employers in society for a new generation of postgraduates who can critically engage with big data theoretically, methodologically and practically. In contrast to many big data-focused degrees (such as Data Science or Data Analytics) where the emphasis is almost exclusively on data practices and computational tools, this degree underpins key practical skills with a range of theoretical approaches to data.
How is our world influenced by big data? How are our lives represented in big data? This course will enable you, whatever your disciplinary background, to understand and act in a society transformed by data, networks and computation and develop a range of interdisciplinary capacities.
Our course offers you: - Core knowledge in statistical modelling and programming for data-driven careers
-
An extensive understanding of the relationship between big data technology and society
-
Practical and critical application of these techniques to cutting-edge methods across the data spectrum
-
Python and R programming skills (using RStudio)
-
Introductory Data Science and Machine Learning / AI techniques, including Generative AI
-
Statistics in Social Science (up to multiple linear regression and logistic regression)
-
Advanced Statistics (generalised linear models, multilevel modelling and casual inference)
-
Basics in Social Network Analysis, Web Scraping, Reproducible Analysis, Data Visualisation, SQL, Deep Learning, Agent-Based Modelling
-
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
Join Warwick's Big Data and Digital Futures MSc/PGDip and learn to critically engage with big data. The Centre for Interdisciplinary Methodologies works across disciplines, drawing from the Arts, Humanities, Social Sciences and Sciences, to answer employers' demands for a new generation of researchers.
Course overview This degree responds directly to the growing demand across research fields and by employers in society for a new generation of postgraduates who can critically engage with big data theoretically, methodologically and practically. In contrast to many big data-focused degrees (such as Data Science or Data Analytics) where the emphasis is almost exclusively on data practices and computational tools, this degree underpins key practical skills with a range of theoretical approaches to data.
How is our world influenced by big data? How are our lives represented in big data? This course will enable you, whatever your disciplinary background, to understand and act in a society transformed by data, networks and computation and develop a range of interdisciplinary capacities.
Our course offers you: - Core knowledge in statistical modelling and programming for data-driven careers
-
An extensive understanding of the relationship between big data technology and society
-
Practical and critical application of these techniques to cutting-edge methods across the data spectrum
-
Python and R programming skills (using RStudio)
-
Introductory Data Science and Machine Learning / AI techniques, including Generative AI
-
Statistics in Social Science (up to multiple linear regression and logistic regression)
-
Advanced Statistics (generalised linear models, multilevel modelling and casual inference)
-
Basics in Social Network Analysis, Web Scraping, Reproducible Analysis, Data Visualisation, SQL, Deep Learning, Agent-Based Modelling
-
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
Join Warwick's Big Data and Digital Futures MSc/PGDip and learn to critically engage with big data. The Centre for Interdisciplinary Methodologies works across disciplines, drawing from the Arts, Humanities, Social Sciences and Sciences, to answer employers' demands for a new generation of researchers.
Course overview This degree responds directly to the growing demand across research fields and by employers in society for a new generation of postgraduates who can critically engage with big data theoretically, methodologically and practically. In contrast to many big data-focused degrees (such as Data Science or Data Analytics) where the emphasis is almost exclusively on data practices and computational tools, this degree underpins key practical skills with a range of theoretical approaches to data.
How is our world influenced by big data? How are our lives represented in big data? This course will enable you, whatever your disciplinary background, to understand and act in a society transformed by data, networks and computation and develop a range of interdisciplinary capacities.
Our course offers you: - Core knowledge in statistical modelling and programming for data-driven careers
-
An extensive understanding of the relationship between big data technology and society
-
Practical and critical application of these techniques to cutting-edge methods across the data spectrum
-
Python and R programming skills (using RStudio)
-
Introductory Data Science and Machine Learning / AI techniques, including Generative AI
-
Statistics in Social Science (up to multiple linear regression and logistic regression)
-
Advanced Statistics (generalised linear models, multilevel modelling and casual inference)
-
Basics in Social Network Analysis, Web Scraping, Reproducible Analysis, Data Visualisation, SQL, Deep Learning, Agent-Based Modelling
-
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
Join Warwick's Big Data and Digital Futures MSc/PGDip and learn to critically engage with big data. The Centre for Interdisciplinary Methodologies works across disciplines, drawing from the Arts, Humanities, Social Sciences and Sciences, to answer employers' demands for a new generation of researchers.
Course overview This degree responds directly to the growing demand across research fields and by employers in society for a new generation of postgraduates who can critically engage with big data theoretically, methodologically and practically. In contrast to many big data-focused degrees (such as Data Science or Data Analytics) where the emphasis is almost exclusively on data practices and computational tools, this degree underpins key practical skills with a range of theoretical approaches to data.
How is our world influenced by big data? How are our lives represented in big data? This course will enable you, whatever your disciplinary background, to understand and act in a society transformed by data, networks and computation and develop a range of interdisciplinary capacities.
Our course offers you: - Core knowledge in statistical modelling and programming for data-driven careers
-
An extensive understanding of the relationship between big data technology and society
-
Practical and critical application of these techniques to cutting-edge methods across the data spectrum
-
Python and R programming skills (using RStudio)
-
Introductory Data Science and Machine Learning / AI techniques, including Generative AI
-
Statistics in Social Science (up to multiple linear regression and logistic regression)
-
Advanced Statistics (generalised linear models, multilevel modelling and casual inference)
-
Basics in Social Network Analysis, Web Scraping, Reproducible Analysis, Data Visualisation, SQL, Deep Learning, Agent-Based Modelling
-
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 |
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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