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The MSc Big Data and Digital Futures at the University of Warwick is an interdisciplinary, critical, and applied program that integrates advanced data science techniques with the study of how big data shapes societies, cultures, and digital economies.
Led by the Centre for Interdisciplinary Methodologies, the course offers hands-on training in Python, R, machine learning, social network analysis, web scraping, and AI, while critically examining the social, ethical, and political implications of big data technologies.
Ranking:
Course Overview:
Big Data Research: Hype or Revolution?
Dissertation
Data Science Across Disciplines: Principles, Practice and Critique OR Fundamentals in Quantitative Research Methods
Scaling Data and Societies OR Advanced Quantitative Research
Introduction to Contemporary AI: Techniques and Critiques
User Interface Cultures: Design, Method and Critique
Visualisation Foundations
Generative AI: Histories, Techniques, Cultures and Impacts
Digital Sociology
Foundations of Data Analytics
Teaching: Delivered through blended learning, coding labs, seminars, lectures, group work, and practical workshops.
Assessment: Assessed via essays, technical reports, coding projects, group presentations, and a dissertation.
Applied coding labs, social network analysis, and web scraping projects using Python, R, and SQL.
Interdisciplinary workshops blending computational methods with social science perspectives.
Independent 10,000-word dissertation allowing students to explore real-world data challenges.
Practical group projects and collaborative learning with exposure to contemporary AI tools including Generative AI.
Graduates progress to roles in companies like Skyscanner, StatsBomb, Accenture, Amazon, AXA, BaiDu, Tableau Software, and more.
Strong foundation for PhD studies in interdisciplinary data science, digital cultures, or technology policy.
Supported by Warwick’s dedicated careers team with regular employability workshops and industry events.
Home and international tuition fees apply; additional costs may arise for selected field trips or travel.
IELTS: Overall score of 7.0, minimum component scores of two at 6.0/6.5 and the rest at 7.0 or above.TOEFL: 100, comprising Reading 22, Listening 21, Speaking 23, Writing 21Entry requirement: 2:1 undergraduate degree Scholarships availableYour personal details, academic qualifications (predicted works too), a personal statement, evidence of your English language skills (with relevant qualifications), a reference and employment history are required for applications.Data ScientistSocial Data AnalystData Ethics ConsultantDigital Policy AdvisorAI ResearcherData Visualisation SpecialistTechnology Policy ConsultantData-Driven Social Researcher
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University of Warwick
