9 Short courses offered by the university

The Radiation Physics course at University of Birmingham will give students a broad knowledge of medical physics as it applies to the clinical practice of radiotherapy.

The Radiation Biology course at University of Birmingham looks at the cellular and molecular basis of the response of cells, tissues and tumours to ionizing radiation, and the biological basis of radiation damage and repair. 

The Advanced Statistical Methods programme from the University of Birmingham will enable you to develop your understanding of the statistical basis of generalised linear modelling (GLM) and its application in different situations, including the GLM regression output from more complex data analysis methods.

The Analysing Microbial Genomic Data programme from the University of Birmingham is designed to provide microbiologists with the ability to perform high-level analysis of microbial genomic data sets, regardless of background knowledge or ability. 

The Statistical Methods for Risk Prediction and Prognostic Models (Online) course from the University of Birmingham provides a thorough foundation of statistical methods for developing and validating risk prediction and prognostic models in healthcare research.

Within this Research Methods and Statistics (Cancer) course from the University of Birmingham, you will learn about the application of research methods to clinical practice.

The Practical Epidemiology and Statistics course from the University of Birmingham will teach you how to analyse and evaluate healthcare-related studies and understand the statistical methods used in epidemiological research.

The Cellular and Molecular Basis of Cancer programme at the University of Birmingham will provide you with the latest knowledge of cellular lesions underlying the development of cancer and the background of recent advances in molecular medicine.

The Statistical Methods for Meta-Analysis of Individual Participant Data (SMIPD) (Online) programme from the University of Birmingham provides a detailed foundation of the methods and principles for meta-analysis when IPD (Individual Participant Data) are available from multiple related studies.