Wednesday 11th February 2026

09:30-16:30

This course will be delivered in a hybrid form, with the option of joining online or attending in person at St Luke's Campus, Exeter.

For group bookings of 5+ delegates, please contact the Administrator, Carole Miller, for details of a discounted rate at FHLS_CPD@exeter.ac.uk.

About the course

Please see the course webpage.

Joining instructions be issued nearer to the start date.

Wednesday 13th May 2026

09:30-16:30

This course will be delivered in a hybrid form, with the option of joining online or attending in person at St Luke's Campus, Exeter.

For group bookings of 5+ delegates, please contact the Administrator, Carole Miller, for details of a discounted rate at FHLS_CPD@exeter.ac.uk.

About the course

Please see the course webpage.

Joining instructions be issued nearer to the start date.

Friday 10th October 2025

09:30-16:30

This course will be delivered in a hybrid form, with the option of joining online or attending in person at St Luke's Campus, Exeter.

For group bookings of 5+ delegates, please contact the Administrator, Carole Miller, for details of a discounted rate at FHLS_CPD@exeter.ac.uk.

About the course

Please see the course webpage.

Joining instructions be issued nearer to the start date.

Wednesday 14th October 2026

09:30-16:30

This course will be delivered in a hybrid form, with the option of joining online or attending in person at St Luke's Campus, Exeter.

For group bookings of 5+ delegates, please contact the Administrator, Carole Miller, for details of a discounted rate at FHLS_CPD@exeter.ac.uk.

About the course

Please see the course webpage.

Joining instructions be issued nearer to the start date.

Course Dates - delivered virtually over 6 half days from 12:30-16:30:

Tuesday 7th October

Thursday 9th October

Tuesday 14th October

Thursday 16th October

Tuesday 21st October

Thursday 23rd October

The University of Exeter is a leader in public health research and education.  Our flagship CPD course, led by Dr Bharat Pankhania alongside renowned guest speakers, tackles key concepts in health protection, addressing local, national and global challenges.  The importance of Communicable Disease Control expertise and collaborative working, with an emphasis on prevention being the best way forward.

The course will give participants a grounding in the core principles of health protection and is a useful building block towards achieving competency in health protection on call. The content will cover all the Faculty of Public Health competencies, including part of the syllabus for the DFPH (Diplomate exam) and will serve as a refresher and a primer for new practitioners (Consultant to Health Protection Practitioners).

Whis is the course for?

It is useful for those already working in or considering working in public health, health protection, infection control, environmental health, infections with an animal and human interface, and primary care.

Accreditation

CPD points applied for through The Royal College of Physicians.

If you wish to pay by invoice, please contact the CPD Team at FHLS_CPD@exeter.ac.uk.

Dates of Course:  Wednesday & Thursday, 28th and 29th January 2026

Venue:  To be confirmed

In addition to understanding “what works” policy makers and practitioners often need to understand how something works, the feasibility and acceptability of an intervention, how best to implement it or whether there are unintended consequences. They may also want to understand how people value particular outcomes, or why differences in impact are seen. Qualitative evidence can often speak to these issues. Bringing together the insights from both quantitative and qualitative evidence can enhance the completeness, relevance or interpretation of the evidence base.

There are a number of ways in which quantitative and qualitative evidence can inform each other and a range of approaches and methods for mixed methods synthesis depending on the questions being asked and the data available, which will be explore in this course.

Aims of the course

To introduce approaches, tools and methodologies for mixed methods systematic reviews and syntheses.

Objectives

The objective of this training is to provide an overview of:

• Approaches, tools and methodologies for mixed methods systematic reviews and syntheses.
• When mixed methods design might be appropriate and suitable designs.
• How to formulate mixed methods review questions.
• Approaches to searching, study selection, data extraction and critical appraisal.

Prerequisites

As this course will focus on bringing together diverse bodies of evidence, participants must have prior systematic review experience and knowledge of Qualitative Evidence Synthesis.

If you wish to attend and be invoiced, please contact the CPD Team at FHLS_CPD@exeter.ac.uk for information.

This course provides a broad introduction to statistical modelling for health and life science applications. The fundamental role of the statistician as a problem solver will be emphasised and the different stages of the “problem solving” cycle will be considered.

The course will equip you with the theoretical underpinning and computational skills needed for generalized linear regression modelling of health data using the R statistical software. Real-world case studies drawing on our world-class epidemiological research will be used to help you develop an appreciation of modelling strategy and to give you practical experience of interpreting model findings in the context of real health problems.

The course requires familiarity with basic statistical concepts and methods (e.g. descriptive statistics and graphs, t-tests). Some knowledge of R would be advantageous. On 8th May the course has built in a half-day preparatory session on R software to support all delegates in achieving the required level of proficiency in the R software environment.

Who is the course for?

Suitable for Academics, PhDs, industry/NHS, and for those who need to use quantitative models to analyse data to generate evidence or inform policy. This includes researchers and data analysts wanting a practical framework for modern regression modelling of data from clinical trials, or routine health data from electronic health records. 

External Accreditation

CPD points applied for through the Royal College of Physicians.