Bristol Medical School
We’ve grouped the short courses from Bristol Medical School into five themes. Use the links at the bottom of this page to navigate to the other Bristol Medical School short course themes or return to our main training page.
Please note that as courses are provided by Bristol Medical School, you will be taken to the University of Bristol website to complete the booking.
Big data
Machine Learning with Omics Data
University of Bristol
Start date: 19 June 2025
Duration: 2 days
Delivery: Online
Cost: £440
More information
About the course
Health research is increasingly turning to high-throughput molecular datasets (also known as ‘omic’ datasets) to discover novel biomarkers of disease risk and outcome. Unfortunately, the size and complexity of these datasets makes them difficult to manage and prone to many pitfalls.
In this course, we introduce you to the latest approaches from data science for interpreting and extracting useful and reliable biomarkers from these challenging datasets. It aims provide:
- An overview of the principles and methods of epidemiology and data science that are relevant to high-throughput omic studies
- The knowledge and skills necessary to design and utilize population-based omic studies to gain insight and to derive robust biomarkers of exposures and health outcomes
Attendees may have a background in epidemiology, genetics, statistics, public health or a clinical speciality. A basic knowledge of epidemiology is required and some understanding of molecular epidemiology terminology and machine learning would be advantageous. Practical knowledge of R is required as students will be processing large omic datasets in practical sessions.
What this course will cover
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Examples of published omic analyses and models for epidemiological and medical applications
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Statistical methods for preprocessing, discovering patterns and testing associations in omic datasets
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Interpreting the biological relevance of omic patterns and associations
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Estimating the heritability and proportion of variation explained by omic data
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Approaches from machine learning for deriving reliable omic biomarkers for indexing exposures and predicting health outcomes
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Application and interpretation of appropriate metrics for evaluating biomarker performance
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Ethical challenges of developing, interpreting and applying molecular biomarkers
How to join
Please note, there are pre-requisites for enrolling on this course – details can be found on the full course listing linked below.
Sign up via the University of Bristol Medical School website
Essentials of Infectious Disease Modelling and Economic Evaluation
University of Bristol
Start date: 23 June 2025
Duration: 2 days
Delivery: Online
Cost: £440
More information
About the course
Mathematical modelling is an important tool that can be used to understand the dynamics of infectious diseases. This 2-day course aims to cover the essentials of infectious disease modelling including economic evaluation. The course will provide attendees with the ability to start understanding modelling studies and work with modellers.
The course is intended for epidemiologists, public health specialists, policy makers and healthcare professionals who work in the area of infectious diseases (human and animal health).
Although the computer practicals will be in the programming language R, no knowledge of R is assumed.
What this course will cover
- What infectious disease models are and when they can be used
- How to actively collaborate with modellers
- Designing a model
- Simulating a model using the programming language R
- How to interpret basic reproduction numbers
- Criteria for disease control
- The principles of vaccination and herd protection
- Using models for economic evaluation
How to join
Please note, there are pre-requisites for enrolling on this course – details can be found on the full course listing linked below.
Sign up via the University of Bristol Medical School website
