Course summary
The MSc in Marine Ecosystem Management is a one-year taught programme run by the School of Biology. The programme takes a holistic approach to understanding ecosystem function and services, and draws on the quantitative and diverse academic expertise within the University's Scottish Oceans Institute (SOI). Highlights
- Modules include intense training in quantitative techniques (for example, statistical modelling and GIS).
- You might have the exciting opportunity to conduct fieldwork locally as part of a core module and further afield as part of optional field courses (extra cost applicable) including polar ecology in Antarctica or scientific diving in a tropical location.
- Core modules in marine ecosystem function and management are complemented by a selection from optional modules including marine conservation case study, biologging, population biology, fisheries research, and estimating abundance.
- Stimulating, small class sizes with a focus on student-led, experiential learning.
Modules
During Semester 1, students follow a coherent course of modules that provides sound training in essential skills for managing marine ecosystems. The first semester combines two compulsory modules with a choice of one of two further optional modules.
- Marine Biodiversity and Ecosystem Functioning
- Mathematical and statistical modelling for Biologists
- Environmental Drivers of Marine Habitats
- Geographic Information Systems for Environmental Management
- Ecosystem-based Management of Marine Systems
- Current Issues in Biologging
- Estimating Animal Abundance and Biodiversity
- Fisheries Research
- Population Biology
- Marine Conservation Case Study
- Predator Ecology in Polar Ecosystems - Antarctica
- Scientific Diving
Entry requirements
- A first or 2.1 (Honours) undergraduate degree in a relevant natural science. Other scientific, engineering or mathematics degrees may be acceptable. If you studied your first degree outside the UK, see the University's international entry requirements. - Training in advanced mathematics and statistics (at least to UK school AS/A-level, Higher, International Baccalaureate or equivalent). - Very good baseline IT skills including word-processing, spreadsheet use, email and internet. - relevant field or lab experience from previous employment, project or volunteer work - further IT skills, e.g. programming, database software and statistical packages for analysing (such as MATLAB, SPSS, SAS or R) - dedicated calculus or statistics modules at university level.
English language requirements
For the current English Language requirements please visit the English language requirements for postgraduate students on the University of St Andrews website.
English language requirements for postgraduate students
https://www.st-andrews.ac.uk/subjects/entry/language-requirements/postgraduate/
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Sponsorship information
Recent Graduate Discount: The University of St Andrews offers a 10 percent reduction in postgraduate tuition fees for students who have graduated during the last three years and are now starting a postgraduate programme. Further details on awards are available from our Fees and Funding webpages: https://www.st-andrews.ac.uk/study/pg/fees-and-funding/scholarships/taught/
Provider information
University of St Andrews
College Gate
St Andrews
KY16 9AJ