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Full time & Part time September MSc 12 months full-time or 24 months part-time

About the course

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This programme provides intensive training in statistics applicable to the social sciences, econometrics and finance. The aim of the programme is to foster an interest in theoretical and applied statistics and equip you for work as a professional statistician.

You will learn to analyse and critically interpret data, build statistical models of real situations, and use programming tools and statistical software packages. 

The compulsory course will provide you with comprehensive coverage of fundamental aspects of probability and statistics methods and principles. It provides the foundations for the optional courses on more advanced statistical modelling, computational methods, statistical computing and advanced probability theory. Options also include specialist courses

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Entry Requirements

2:1 degree or equivalent in a relevant discipline, including a substantial amount of statistics and mathematics

Course Content

Institution website

Where is London School of Economics and Political Science


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Student Profile(s)

Darius Li

The MSc Statistics programme provides students with unparalleled training in statistical modelling and data analysis by bridging computation with communication and inference with intuition. Students in the programme receive direct feedback on written coursework from professors, who not only deliver rigorous insight into statistical theory during lectures but also delve into research applications during computer workshops. My training in the MSc Statistics programme has been indispensable in my current role at the Federal Reserve Bank of New York.

Katelyn Weber

My MSc Statistics was essential for opening the door to my career in data consulting. As a consultant, I help clients sort out their data systems, teach analysts how to use visualise data, and build statistical models to solve client problems. For each of these things, I use data analysis and problem solving skills honed in my Master’s. The variety of courses as well as the research programme were excellent foundations for the type of statistical work I do every day.

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