Biological sciences
Short courses
The Department offers a range of short courses in biological sciences – both in-person and online. These include day schools, weekly learning programmes and professional development courses.
Academic credit
Many of our courses can be studied for credit which means they can count towards a recognised qualification.
Upcoming courses
Online - flexible • Short courses • Professional development
Part-time over five weeks, this tutor-led training course can be taken from anywhere in the world. It will appeal to students and practitioners who want to improve their ability to conduct fish and amphibian surveys.
- Wed 18 Mar 2026 – 22 Apr 2026
- 5 meetings
Short intensive • Short courses • Professional development
This five-day course provides a thorough overview of the exciting and emerging discipline of nanomedicine, which is already starting to transform the way that medical and health care solutions are developed and delivered.
- Mon 23 Mar 2026 – 27 Mar 2026
Online - live • Short courses
This online day school introduces the brain and key topics of neuroscience. We will study biological theories in the context of psychology, covering basic brain neuroanatomy and linking it to human behaviour and mind functions such as learning and sleep.
- Thu 26 Mar 2026
- 10:00am – 5:00pm
Online - live • Short courses
Biodiversity loss is evident no matter where we live. To reverse the current decline, we need to understand how individual species interact with their environment, while also appreciating the practical strategies to monitor and conserve species.
- Tue 14 Apr 2026 – 23 Jun 2026
- 10 meetings
- 10:30 – 11:30am
Online - live • Short courses
Climate affects the planning of our daily activities. Its variability also inflicts damage on individuals and entire economies and societies. We will explore how climate varies, in the past, present and future, and how this impacts on society.
- Wed 15 Apr 2026 – 24 Jun 2026
- 10 meetings
- 11:30am – 12:30pm
Online - live • Short courses
Infectious disease modelling utilises data and our understanding of disease biology to provide public health insights. Aimed at a general audience, this course will cover methods for modelling disease transmission in statistical programming language R.
- Wed 15 Apr 2026 – 24 Jun 2026
- 10 meetings
- 3:00 – 4:00pm
