Over the past number of decades, efforts have been made to integrate the fields of behavioural ecology and conservation biology, leading to the development of a new research field: Conservation Behaviour, which incorporates animal behaviour into the management and conservation of wild animal populations. Students on this course will learn how animal behaviour can contribute to species conservation and management. Through independent study, they will produce a comprehensive literature review on a selected topic in Conservation Behaviour, thereby gaining an in-depth knowledge of a specific area of Conservation Behaviour while also learning effective techniques for reviewing the scientific literature.

1. Identify the most relevant literature on a selected topic in the field of conservation behaviour
2. Synthesise information from a wide variety of relevant sources on their selected topic
3. Critically evaluate the literature on their selected topic
4. Appraise and revise their own writing so that it is free of grammatical and typographic errors, correctly referenced and logically structured
5. Write a focused and coherent literature review to demonstrate their in-depth understanding, and up-to-date knowledge, of their selected topic in conservation behaviour

The powerful, free and open-source R statistical environment is becoming the statistical tool of choice for increasing numbers of scientists. Students on this course will learn how to easily import their data into R, and how to then manage, manipulate, explore, graph and statistically analyse their data using R and RStudio (a free software application with a more user-friendly interface for working in R). They will also learn how to select appropriate statistical models for their data, and how to design and write basic programs in the R language.

1. Demonstrate the ability to effectively manage, manipulate and explore data in R
2. Select the most appropriate statistical model for their data
3. Analyse different types of data in R using basic and advanced statistical models
4. Create and customise graphs in R that are appropriate for their data
5. Design and write programs in R

The residential field course is aimed at providing students with the opportunity to integrate learning outcomes from a range of modules covered throughout this MSc degree, and to develop practical skills and promote independent learning both individually and within assigned groups. The chosen location for the residential field course (e.g. Aran Islands/Inishbofin, Co. Galway; west Galway/Mayo Coast; the Burren and surrounding area, Co. Clare) represents an opportunity to study a range of animals (e.g. freshwater invertebrates, waders, grey seals) in a variety of habitats (e.g. grassland, small freshwater lakes, coastal lagoons, sandy and rocky shores).

1. Develop and execute a detailed research programme to answer specific research questions in the field.
2. Employ relevant skills covered in other modules, such as research planning, literature review, experimental design, statistical analysis and report writing.
3. Choose and use appropriate research methods in a variety of situations.
4. Organise and direct the work of individuals and groups in a professional working environment, both as a team leader and as a group member.

This module will cover the use of geographic information systems (GIS) as a tool for field biologists. It will enable the learners to store, manage, analyse and display data that has both spatial and attribute components. It will be taught using ArcGIS and will be 100% practical and continuous assessment.

1. Explain the components of a GIS and demonstrate an understanding of its application
2. Source, store and manipulate a broad range of data types within a Geographic Information System
3. Analyse and interpret data using a Geographic Information System
4. Create outputs pertinent to the application of Geographic Information Systems in line with their needs
5. Examine advanced GIS data and discern the appropriate presentation of such data
6. Demonstrate the ability to self direct learning in the application of GIS

An understanding of animal behaviour is important for the management and conservation of a wide variety of animals. Students on this course will learn to: (i) address questions in biodiversity and conservation within a behavioural framework; (ii) record the behaviour of animals in the field and laboratory using appropriate techniques; (iii) analyse behavioural data using dedicated software and appropriate statistical methods; (iv) interpret and present the results of behavioural analyses.

1. Describe the application of animal behaviour in conservation
2. Design and carry out a robust behavioural study under field or laboratory conditions, having regard to sampling design and ethical considerations
3. Analyse behavioural data using appropriate software and statistical techniques
4. Interpret and clearly present the results of behavioural studies

Underwater acoustics is the study of sound propagation through water. As sound travels much more efficiently through water, cetaceans have evolved to use this mechanism for navigating, finding food and communicating. This ability allows cetaceans to carry out their normal functions irrespective of sight, which would be greatly influenced by turbidity, depth and darkness. Through the study of underwater acoustics, we can get an insight into cetacean occurrences and behaviour when visual observations are not possible, such as during hours of darkness and during adverse weather conditions. This module will train students in the different acoustic monitoring technologies available and how to analyse and interpret acoustic datasets.

1. Discuss the role of acoustics in conservation
2. Design acoustic surveys as components of marine conservation initiatives
3. Identify appropriate equipment to meet survey objectives within environmental constraints
4. Retrieve, analyse and interpret acoustic data

Students will undertake an approved research project under the direction of an internal supervisor and, if appropriate, a supervisor from a relevant external organisation. Projects may be drawn from any discipline within the course of from an area of expertise of the supervisors. Design of the project should be produced by the learner with the advice of the supervisors.

1. Identify and choose a research project topic and plan the delivery of that research project
2. Select and synthesise information available in scientific literature (and in some cases other literature) in order to establish the need for, and potential scope and context of, the research project
3. Develop creative ways of solving new research problems
4. Collect and analyse data qualitatively and quantitatively, including an assessment of the statistical validity of the research results
5. Manage resources allocated to completing a scientific research project
6. Communicate research results in written and oral forms, demonstrating critical analysis, synthesis and organisation of knowledge, and the construction of a rational and lucid scientific argument