Our Computational Ecology MSc gives you knowledge and skills to work with ecological ‘big data’. It focuses on mathematical and statistical theory necessary for data interpretation and analysis.
About this course
You will be suitable for the course if you are:
- an ecologist involved in scientific research
- a graduate in mathematics or computing.
What You'll Learn:
Our course was created to close the knowledge gap in ecological research. It provides a sound grounding in important components of any research project, including:
- computer programming
- ‘big data’ analysis and interpretation
We will teach you how to handle a range of data eg:
- GPS tracking of wildlife
- remote-sensed landscape data
After successfully completing the course you will have the skills to undertake research projects in academia or industry.
The Degree Programme Director, Dr Roy Sanderson, is an active research ecologist. His research focuses on:
- modelling complex ecological systems
- using multivariate statistical models
- Monte-Carlo techniques.
You'll study this taught course on the Newcastle city campus. At the start of the course you will have several modules taught at the same time over a 6 week period. After this, most of your teaching will take place in 2 week blocks.
The School of Natural and Environmental Sciences has an outstanding range of facilities to support our research and teaching, including:
- fully equipped laboratories
- a new field station with facilities for teaching and research
You will also have access, by arrangement, to the University's Cockle Park farm. This is managed by the School of Natural and Environmental Sciences.