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Statistics with Data Analytics MSc at Brunel University of London

Brunel University of London, United Kingdom

Programme overview

Brunel's Statistics and Data Analytics MSc is designed to train the next generation of statisticians with a focus on the field of data analytics. Employers expect skills in both statistics and computing. This master’s programme will provide a unique and coherent blend of modern statistical methods together with the associated computational skills that are essential for handling large quantities of unstructured data.

Faculty: College of Engineering, Design and Physical Sciences  |  Department: Department of Mathematics  |  Duration: 1 year full-time; 2 years part-time  |  Study mode: full-time; part-time  |  Intake: September  |  Location: London, England, United Kingdom

What you will study

The programme consists of eight compulsory modules and a statistics with data analytics dissertation. Compulsory modules include Advanced Computational Statistics for Data Analytics, Data Mining and AI for Big Data Analytics, Financial Markets, Fundamentals of Machine Learning, Probability and Stochastics, Quantitative Data Analysis and Visualisation, Research Methods and Case Studies and others.

Career pathways

By the end of this programme you’ll have acquired an advanced level of statistical knowledge and data analytical skills. This will allow you to work as an independent expert within a multidisciplinary team that designs, performs, analyses and reports about applied scientific research.

Official programme page

Application information

Entry requirements

A 2.2 (or above) UK honours degree or equivalent, internationally recognised qualification in numerate disciplines with adequate content in statistics, including: Mathematics, Statistics, Computational Statistics, Biostatistics, Medical Statistics, Social Statistics, Machine Learning, Stochastic models, Probability Statistics, Statistical Modelling, Applied Statistics or Econometrics, Economics, Actuarial Science, Mathematics for Data Science, Applied Mathematics. Other academic profiles and students with relevant work experience will be considered on a case by case basis.'. English language: IELTS: 6 (min 5.5 in all areas).

Domestic applicants: GBP 14,435 a year (2026/27). full-time tuition per year Source

International applicants: GBP 24,795 a year (2026/27). full-time tuition per year Source

Intake: September

Duration: 1 year full-time; 2 years part-time

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