Bristol Medical School Short Courses in Population Health Sciences
Population Health Sciences offer a comprehensive programme of high quality intensive short courses in epidemiology, medical statistics, qualitative research, health economics, appraisal and synthesis of research, and health protection.
Our courses range in duration from one to five days. They are aimed at University staff and postgraduate research students, public health specialists, health-care professionals and members of the pharmaceutical and medical device industry.
Announcement
Our course booking system is now open for annual registrations. Once registrations are approved, courses will be available to book from midday 3rd October. To ensure your account is approved before bookings open, please submit registrations by 28th September.
2022–2023 short courses
| Course title |
Date/s | Topic |
|---|---|---|
| Advanced Epigenetic Epidemiology (ONLINE) |
18-19 May 2023 | Epidemiology;Genetic Epidemiology;Informatics;Show all |
| Advanced Mendelian Randomization (ONLINE, INTERNAL ONLY PILOT) | 1-2 Feb 2023 | Epidemiology;Genetic Epidemiology;Show all |
| Advanced Multiple Imputation Methods to deal with Missing Data (ONLINE) | 25 Nov 2022 | Epidemiology;Medical Statistics;Show all |
| Advanced Survival Analysis (ONLINE) | 13-14 Jul 2023 | Epidemiology;Medical Statistics;Show all |
| Analysis of Repeated Measures (ONLINE, INTERNAL ONLY) | 28-29 Mar 2023 | Epidemiology;Medical Statistics;Show all |
| Causal Inference in Epidemiology: Concepts and Methods (ONLINE) |
4-7 Jul 2023 | Epidemiology;Show all |
| Designing and Conducting Pragmatic Randomised Controlled Trials (ONLINE) | 5-9 Jun 2023 | Randomised Trials;Show all |
| Economic Evaluation Modelling Using R (ONLINE) | 3-5 May 2023 | Statistical Computing;Medical Statistics;Health Economics;Show all |
| Epigenetic Epidemiology (ONLINE) |
8-10 May 2023 | Epidemiology;Genetic Epidemiology;Show all |
| Essentials of Infectious Disease Modelling and Economic Evaluation (ONLINE) | 23-24 Jan 2023 | Health Economics;Epidemiology;Show all |
| Genetic Epidemiology (ONLINE, INTERNAL ONLY) |
22-28 Feb 2023 | Epidemiology;Genetic Epidemiology;Medical Statistics;Statistical Computing;Show all |
| Improving your Stata: data management, publication-quality outputs, and automating tasks (ONLINE) |
14-16 Mar 2023 | Medical Statistics;Statistical Computing;Show all |
| Introduction to Data Visualisation and Web Applications Using R (ONLINE) | 1-2 Mar 2023 | Statistical Computing;Show all |
| Introduction to Diagnostic Research (ONLINE) | 15-16 Jun 2023 | Epidemiology;Appraisal and Synthesis of Research;Show all |
| Introduction to Epidemiology (ONLINE) |
16-20 Jan 2023 | Epidemiology;Medical Statistics;Randomised Trials;Show all |
| Introduction to Linear and Logistic Regression Models (ONLINE) | 6-10 Mar 2023 | Medical Statistics;Show all |
| Introduction to Qualitative Research Methods (ONLINE) |
19-23 Jun 2023 | Qualitative Research;Show all |
| Introduction to R A* (ONLINE) |
21-22 Nov 2022 | Statistical Computing;Informatics;Show all |
| Introduction to R B* (ONLINE) |
9-10 Jan 2023 | Statistical Computing;Informatics;Show all |
| Introduction to Rates and Survival Analysis (ONLINE) | 24-26 Apr 2023 | Epidemiology;Medical Statistics;Statistical Computing;Show all |
| Introduction to Research Governance (ONLINE) | 25-26 Jan 2023 | Medical Research Design and Management;Epidemiology;Randomised Trials;Show all |
| Introduction to Stata (ONLINE) | 14-16 Nov 2022 | Statistical Computing;Show all |
| Introduction to Statistics (ONLINE) | 5-9 Dec 2022 | Medical Statistics;Show all |
| Introduction to Systematic Reviews and Meta-analysis A* (ONLINE) |
29 Nov - 2 Dec 2022 | Appraisal and Synthesis of Research;Show all |
| Introduction to Systematic Reviews and Meta-analysis B* (ONLINE) | 27-30 Jun 2023 | Appraisal and Synthesis of Research;Show all |
| Mendelian Randomization (ONLINE) | 12-14 Dec 2022 | Epidemiology;Genetic Epidemiology;Show all |
| Multiple Imputation for Missing Data (ONLINE) |
12-14 Jun 2023 | Medical Statistics;Show all |
| Optimising Recruitment to Randomised Controlled Trials (ONLINE) | 19 Apr 2023 | Randomised Trials;Qualitative Research;Show all |
| Qualitative Research to Optimise Design and Conduct of Randomised Trials (ONLINE) |
21 Apr 2023 |
Randomised Trials;Medical Research Design and Management;Qualitative Research;Show all |
| Questionnaire Design, Application and Data Interpretation (ONLINE) |
11-13 Jan 2023 | Epidemiology;Medical Research Design and Management;Randomised Trials;Health Economics;Qualitative Research;Show all |
| Statistical Methods for Mediation Analysis (ONLINE) | 11-12 Jul 2023 | Epidemiology;Medical Statistics;Show all |
| Writing a Journal Article (IN PERSON, INTERNAL ONLY) |
23-25 May 2023 | Appraisal and Synthesis of Research;Show all |
| Writing a Qualitative Paper A* (IN PERSON, INTERNAL ONLY) |
9 Nov 2022 | Qualitative Research;Show all |
| Writing a Qualitative Paper B* (IN PERSON, INTERNAL ONLY) | 26 May 2023 | Qualitative Research;Show all |
* Due to demand some of our courses run multiple times within an academic year. Course titles appended with 'A' or 'B' indicate multiple runs of a stand-alone course.
Biennial or temporarily suspended courses
The following live online courses will not run in the 2022–23 short course programme:
| Data Linkage |
| Introduction to Economic Evaluation * |
| Introduction to Network Meta-Analysis * |
| Introduction to Qualitative Methods for Health Economics |
* University of Bristol staff and students may still access this course as a 'Materials Only' option.
Book a course
Annual registrations are open. Courses will be available to book from midday 3rd October.
Thank you for finding intuitive ways to communicate such complicated concepts.
.jpg)
'Materials only' courses
For internal University of Bristol staff and research students only, information and FAQs relating to our 'materials only' short courses.
Thank you to all for a really great week's course! I was pleasantly surprised by the collaborative and engaging nature of the online course, and really appreciated the entire team's support throughout the programme.
Excellent course, one of the best I have done online. All went very smoothly, good pace and excellent content.