Data Science for Global Development

University of East Anglia UEA

Postgraduate MSc (PG) Full-time 1 Year Accounting and financeEconomicsSociologyMathematics and statistics

About this course

Overview Data is shaping the future of global development, and the demand for professionals with expertise in data science, impact evaluation, and quantitative analysis has never been higher.

Our cutting-edge MSc in Data Science for Global Development is designed to equip you with the skills and knowledge to thrive in this rapidly evolving field. This innovative, first-of-its-kind programme bridges a critical gap in the academic landscape, offering a comprehensive, industry-aligned curriculum tailored explicitly for global development.

Throughout the course, you'll build a strong foundation in Python programming, data mining, and advanced causal analysis, enabling you to assess the impact of policies, projects, and behavioural interventions. You'll also have the flexibility to tailor your studies to your interests by selecting from a range of modules offered by the School of Global Development and the School of Computing Sciences. Additionally, you'll hone your research skills through a dissertation in an area of your choice, allowing you to specialise in the topics that matter most to you.

You'll be taught by renowned experts from the School of Global Development and the School of Computing Sciences, recognised for their leadership in data science, behavioural development economics, and applied policy analysis.

Upon graduation, you'll have an enviable set of in-demand skills and be ready to pursue a variety of exciting careers both within and beyond global development.

Disclaimer Course details are subject to change. You should always confirm the details on the provider's website: www.uea.ac.uk

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Course Details

Qualification
Master of Science - MSc (PG)
Study Mode
Full-time
Duration
1 Year
Start Date
2025
Academic Year
2025
Campus / Location
Norwich
Scheme
Postgraduate
Subjects
Accounting and finance, Economics, Sociology, Mathematics and statistics