Statistics The University of Manchester

Overview

The MSc Statistics programme at The University of Manchester is delivered by the esteemed Probability and Statistics group within the Department of Mathematics. Renowned for its rigorous curriculum, this one-year course provides comprehensive training in statistical methods, preparing students for successful careers across diverse sectors. With a growing demand for skilled statisticians in the UK, graduates of this programme are highly sought after, ensuring excellent employment prospects upon completion.

The University of Manchester consistently ranks among the top universities globally, renowned for its research-led teaching and strong industry connections. The Department of Mathematics boasts cutting-edge facilities and a collaborative environment, fostering innovation and interdisciplinary learning. Students benefit from a curriculum that emphasises social responsibility, aligning with the UN's Sustainable Development Goals, thus enabling them to contribute positively to society while pursuing their studies.

Syllabus

The programme comprises two semesters of taught modules followed by a dissertation. The modules include:

• Linear Models with Nonparametric Regression
• Multivariate Statistics
• Statistical Theory
• Bayesian Statistics
• Generalised Linear Models and Survival Analysis
• Design and Analysis of Experiments
• Optional: Time Series Analysis and Forecasting
• Optional: Longitudinal and Spatial Data Analysis
• Optional: Statistical Machine Learning

Students will undertake a dissertation project, which allows for in-depth exploration of a statistical topic, culminating in a comprehensive report.

Careers with Statistics

The MSc Statistics programme equips graduates with the skills required for a variety of roles in sectors such as finance, healthcare, and government. Alumni have found employment in prestigious organisations, including Hellenic Bank, University of Bristol, and App Annie. Graduates often pursue careers as Biostatisticians, Data Analysts, and Mathematics Teachers, reflecting the diverse opportunities available to them.