Course Overview

The MSc in Environmental Leadership will equip graduates with an advanced level of knowledge and problem-solving, management and communication skills in key areas relevant to the environment, marine and energy sectors. It will equip them with a capacity and capability for environmental leadership relevant to their career trajectory. The course has a focus on cross-sector skills and competences that can be transferred from one topic/occupational area to another, so enabling national and international occupational mobility for its graduates. 

Scholarships available
Find out about our Postgraduate Scholarships here.

Applications and Selections

Applications are made online via the NUI Galway Postgraduate Applications System

Who Teaches this Course

  • Dr Caitriona Carlin, BSc, PhD
  • Dr Kathryn Cormican, BBS, MBS, PhD
  • Dr Thomas Van Rensburg BSc, PGDip, PhD
  • Dr Jerome Sheahan MSc, PhD
  • Dr Frances Fahy, BA, PhD
  • Dr Liam Carr, BSc, MSc, PhD
  • Professor Peter Croot, BSc, PhD
  • Dr Benjamin Thébaudeau, BSc, PhD
  • Professor Ulf Strohmayer, DiplGeog, PhD
  • Dr Gesche Kindermann, BSc, PGDip, MSc, PhD

Requirements and Assessment

Key Facts

Entry Requirements

The programme is open to individuals who have a Level 8 primary degree or equivalent in an appropriate discipline. Applicants who do not have an academic background but have relevant experience may be required to attend an interview.


Additional Requirements

English language proficiency: IELTS 6.5
Duration

1 year

Next start date

September 2021

A Level Grades ()

Average intake

15

Closing Date

Please view the offer rounds website.

NFQ level

Mode of study

ECTS weighting

90

Award

CAO

Course code

1EVL1

Course Outline

The course structure is based on a 90 ECTS model, with 60 ECTS coming from taught modules which account for either 5 or 10 credits each. A research project over the summer accounts for the remaining 30 ECTS.

Curriculum Information

Curriculum information relates to the current academic year (in most cases).
Course and module offerings and details may be subject to change.

Glossary of Terms

Credits
You must earn a defined number of credits (aka ECTS) to complete each year of your course. You do this by taking all of its required modules as well as the correct number of optional modules to obtain that year's total number of credits.
Module
An examinable portion of a subject or course, for which you attend lectures and/or tutorials and carry out assignments. E.g. Algebra and Calculus could be modules within the subject Mathematics. Each module has a unique module code eg. MA140.
Optional
A module you may choose to study.
Required
A module that you must study if you choose this course (or subject).
Semester
Most courses have 2 semesters (aka terms) per year.

Year 1 (90 Credits)

Required ME521: Research Methods for Engineers


Semester 1 | Credits: 5

The aim of this module is to equip graduates in engineering with appropriate skills to conduct autonomous research. It is essential for the effective generation, collection analysis and interpretation of scientific knowledge.
(Language of instruction: English)

Learning Outcomes
  1. Understand the process, methods and tools of conducting scientific research
  2. Define the research problem and formulate alternative research ideas and research questions
  3. Use database systems for literature searches
  4. Use EndNote for academic referencing
  5. Be capable of structuring and synthesising the literature
  6. Develop a conceptual model
  7. Develop effective oral and written skills
Assessments

This module's usual assessment procedures, outlined below, may be affected by COVID-19 countermeasures. Current students should check Blackboard for up-to-date assessment information.

  • Continuous Assessment (100%)
Module Director
Lecturers / Tutors
The above information outlines module ME521: "Research Methods for Engineers" and is valid from 2019 onwards.
Note: Module offerings and details may be subject to change.

Required EV604: Environmental problems & Solutions


Semester 1 and Semester 2 | Credits: 10

This module utilises case studies to focus on environmental problems and their solutions. It explores best practice in the use of mitigation strategies to ameliorate environmental damage. Special reference will be made to the complexities in solving environmental problems (e.g. social, economic & cultural factors and environmental policy drivers). Particular emphasis will be placed on enhancing student competences to develop innovative and sustainable solutions to environmental problems.
(Language of instruction: English)

Learning Outcomes
  1. Differentiate between good and poor environmental practice relating to a range of developments.
  2. Evaluate appropriate mitigation strategies for specific developments.
  3. Design sustainable solutions to environmental problems
Assessments

This module's usual assessment procedures, outlined below, may be affected by COVID-19 countermeasures. Current students should check Blackboard for up-to-date assessment information.

  • Continuous Assessment (100%)
Module Director
Lecturers / Tutors
Reading List
  1. "Effective Judicial Protection and the Environmental Impact Assessment Directive in Ireland (Modern Studies in European Law)." by Ryall, A.
    Publisher: Hart Publishing.
The above information outlines module EV604: "Environmental problems & Solutions" and is valid from 2020 onwards.
Note: Module offerings and details may be subject to change.

Required IE446: Project Management


Semester 1 | Credits: 5

Project management is a means to an end and not an end in itself. The purpose of project management is to foresee or predict as many of the potential pitfalls and problems as soon as possible and to plan, organise and control activities so that the project is successfully completed in spite of any difficulties and risks. This process starts before any resources are committed, and must continue until all the work is completed. The primary aim of this course is to improve the effectiveness of people engaged in project management. It focuses on the essential concepts and practical skills required for managing projects in dynamic environments. This course aims to provide learners with a solid understanding of the fundamentals of project management and to equip them with simple yet powerful tools that will empower them to meet their full potential in the area of project management thus enabling them to implement successful projects on time, within budget and to the highest possible standard.
(Language of instruction: English)

Learning Outcomes
  1. Understand the critical influencing factors for successful project management and execution.
  2. Understand the key reasons for failure and to comprehend the impact and implications of project failure on the individual, team and organisation.
  3. Specify an effective project plan, which is consistent with the business plan of the company
  4. Demonstrate the ultimate success of the plan through successful project implementation
  5. Be capable of using appropriate tools to schedule a project and associated activities and tasks
  6. Be capable of using tools to analyse the health of a project portfolio and to select relevant projects that align with the overall portfolio.
  7. Understand the concept of cross functional team working
  8. Gain a solid grounding in transferable skills such as problem specification, team working, and the ability to synthesise and apply acquired knowledge to the solution of problems
Assessments

This module's usual assessment procedures, outlined below, may be affected by COVID-19 countermeasures. Current students should check Blackboard for up-to-date assessment information.

  • Continuous Assessment (100%)
Module Director
Lecturers / Tutors
Reading List
  1. "Project Management: A Managerial Approach" by Meredith, J.R. and Mantel, S.J.
  2. "A Guide to the Project Management Body of Knowledge (PMBOK® Guide)" by Project Management Institute
The above information outlines module IE446: "Project Management" and is valid from 2019 onwards.
Note: Module offerings and details may be subject to change.

Required EV535: Research Project


12 months long | Credits: 30

This module is undertaken by the student throughout the first and second year, with assessment taking place in the second year. The student carries out an individual piece of scientific work. The student will write up the research according to the requirements of an appropriate journal

Learning Outcomes
  1. Construct a well-thought through scientific project idea
  2. Apply appropriate methodologies and research skills
  3. Develop expertise in experimental design and planning
  4. Acquire good practice in data recording
  5. Become skilled at suitable scientific data analyses: be able to evaluate, examine and understand research data
  6. Synthesise current thinking and apply it appropriately
  7. Write a scientific paper based on research according to the guidelines of an appropriate journal
  8. Present oral and written scientific work
Assessments

This module's usual assessment procedures, outlined below, may be affected by COVID-19 countermeasures. Current students should check Blackboard for up-to-date assessment information.

  • Continuous Assessment (100%)
Module Director
Lecturers / Tutors
The above information outlines module EV535: "Research Project" and is valid from 2015 onwards.
Note: Module offerings and details may be subject to change.

Required EV6102: Environmental Leadership


Semester 1 and Semester 2 | Credits: 5

The module is explores the concept of environmental leadership in the face of global change. It encompasses a wide range of theory and practice, including ethical leadership and environmental issues, and links international examples to local context and relevance. The module will challenge students to critically reflect on leadership and current approaches to environmental leadership. Students will be introduced to theoretical concepts and methods of leadership, and will conduct group and individual assignments that utilise these concepts and methods.
(Language of instruction: English)

Learning Outcomes
  1. Define and explain key aspects of ethical leadership and environmental ethics
  2. Evaluate approaches employed to lead on environmental issues and the impacts they have
  3. Apply and appraise leadership techniques that are used to help to reduce environmental pressures and promote sustainability
  4. Critically assess existing evidence in relation to how environmental leadership can best be utilised, in particular in the face of global change and uncertainty
Assessments

This module's usual assessment procedures, outlined below, may be affected by COVID-19 countermeasures. Current students should check Blackboard for up-to-date assessment information.

  • Continuous Assessment (100%)
Module Director
Lecturers / Tutors
Reading List
  1. "Leadership for environmental sustainability" by B. Redekop, ed
    Publisher: Routledge
  2. "Environmental Leadership" by Deborah Rigling Gallagher
    Publisher: Sage
  3. "Doing Environmental Ethics" by Traer, R.
The above information outlines module EV6102: "Environmental Leadership" and is valid from 2019 onwards.
Note: Module offerings and details may be subject to change.

Required EC5117: Natural Resource Governance & Sustainability


Semester 1 | Credits: 10

The term “environmental governance” has been widely used in relation to the concept of sustainable development. The module takes a capital based approach to the study of sustainability. In this regard particular attention will be given to the relationship between social capital, natural capital and physical capital and institutions and regimes that govern these forms of capital in the context of natural resource management.
(Language of instruction: English)

Learning Outcomes
  1. The module is designed to equip students with a strong grasp of economic behaviour and regime analysis to critically analyse natural resource management and policy that are fundamentally linked to the research activities of faculty and research staff. The programme has the following objectives: The course will introduce students to the different meanings and theoretical approaches of the governance concept;
  2. The course will critically evaluate the relationship between different forms of capital and economic sustainability, environmental governance and natural resource regimes;
  3. To provide a theoretical framework for understanding the behaviour of agents and decision makers with respect to strategic interactions and the environment
  4. To provide students with the necessary analytical skills to undertake a rigorous evaluation of natural resource projects governed by regimes including common property regimes
  5. To provide students with generic modelling and policy analysis skills
  6. To discuss the capital approach to sustainability and link this to regime analysis
Assessments

This module's usual assessment procedures, outlined below, may be affected by COVID-19 countermeasures. Current students should check Blackboard for up-to-date assessment information.

  • Written Assessment (50%)
  • Continuous Assessment (50%)
Module Director
Lecturers / Tutors
Reading List
  1. "The theory of externalities, public goods and club goods." by Cornes R. and Sandler, T.
    Publisher: New York
  2. "Social capital: a multifaceted perspective." by Dasgupta, P. and Serageldin, I
    Publisher: World Bank, Washington
  3. "Games of strategy" by Dixit, A.K., Skeath, S. and Reilly, D.H.
    Publisher: New York, WWW Norton
  4. "Governing the commons." by Ostrom, E.
    Publisher: Cabridge CUP
  5. "Foundations of social capital" by Ostrom, E. and Ahn, T.K. 2003. Foundations of social capital.
    Publisher: Edward Elgar. Cheltenham
  6. "Institutional change and economic performance" by North, D.C.
    Publisher: CUP Cambridge
  7. "Managing the global commons; the economics of climate change" by Nordhaus, W.D.
    Publisher: Cambridge, Mass. MIT Press
The above information outlines module EC5117: "Natural Resource Governance & Sustainability" and is valid from 2018 onwards.
Note: Module offerings and details may be subject to change.

Required EV5102: Communicating Science and Research


Semester 2 | Credits: 5

Research communication aims to generate support for engaged research, to inform decision making and policy, and engage the general public. This module provides an introduction to research communication and community engagement and enables students to critically engage with different communication methods. This module explores different ways and technologies for communication in relation to different audiences and examines the range of social media tools available and their use in a science communication/public engagement context.
(Language of instruction: English)

Learning Outcomes
  1. Demonstrate a comprehensive knowledge and understanding of the thoretical background that underpins research communication with different audiences.
  2. Assess the efficiency and relevance of different approaches to research communication
  3. Define current practice in relation to communication and social media use and relate this to best practice.
  4. Appraise the principles of communication as they pertain to empirical research findings and to evaluate how respective research might best be communicated.
  5. Demonstrate ability to apply appropriate communication methods relative to different audiences.
  6. Appraise the merit and value of science and research communication activities to help improve communication practices
Assessments

This module's usual assessment procedures, outlined below, may be affected by COVID-19 countermeasures. Current students should check Blackboard for up-to-date assessment information.

  • Continuous Assessment (100%)
Module Director
Lecturers / Tutors
The above information outlines module EV5102: "Communicating Science and Research" and is valid from 2019 onwards.
Note: Module offerings and details may be subject to change.

Optional EV6101: The Environment and Human Health


Semester 1 and Semester 2 | Credits: 5

This module explores the relationships between environment, biodiversity and health. Students become competent in assessing key aspects of environmental quality. Students evaluate linkages between emerging research, policy makers and practitioners at international and European levels to inform evidence based policy and practice in relation to health and environment.
(Language of instruction: English)

Learning Outcomes
  1. Assess the key aspects of environmental quality and interactions between environment, health and wellbeing
  2. Critically appraise existing evidence in relation to benefits to health from the environment
  3. Evaluate the provision of green spaces and benefits to health
  4. Critique the effectiveness of governmental policies and legislation to benefit human health and wellbeing in relation to the environment.
Assessments

This module's usual assessment procedures, outlined below, may be affected by COVID-19 countermeasures. Current students should check Blackboard for up-to-date assessment information.

  • Continuous Assessment (100%)
Module Director
Lecturers / Tutors
Reading List
  1. "Forests, Tree and Human Health." by Editors: Nilsson, K., Sangster, M., Gallis, C., Hartig, T., de Vries, S., Seeland, K., Schipperijn, J. (Eds.)
    ISBN: ISBN 978-90-4.
    Publisher: Springer
The above information outlines module EV6101: "The Environment and Human Health" and is valid from 2019 onwards.
Note: Module offerings and details may be subject to change.

Optional EV529: Environmental Impact Assessment


Semester 1 and Spring | Credits: 5

This module introduces Environmental Impact Assessment (EIA) with regard to European and Irish legislation. It covers the principles of environmental assessment theory and survey methods. This module focuses on the theory and methods of environmental assessment and the decision-making contexts in which these are employed. It explains the procedural stages of, and selected methodologies for, environmental assessment and provides practical experience in applying them. A critical review of the quality of Environmental Impact Statements (EIS) in Ireland is undertaken and recent trends in European Court Judgements (ECJ) are discussed.

Learning Outcomes
  1. Apply EIA best practice methodology
  2. Differentiate between and select appropriate surveys to predict environmental impacts
  3. Evaluate a variety of mitigation strategies in relation to EIA
  4. Prepare and produce an EIS
  5. Critique the effectiveness of environmental impact assessment process
Assessments

This module's usual assessment procedures, outlined below, may be affected by COVID-19 countermeasures. Current students should check Blackboard for up-to-date assessment information.

  • Continuous Assessment (70%)
  • Oral, Audio Visual or Practical Assessment (30%)
Module Director
Lecturers / Tutors
Reading List
  1. "Draft Guidelines for Planning Authorities and An Bord Pleanála on carrying out Environmental Impact Assessment." by Department of the Environment, Community and Local Government
    Publisher: DoECLG
  2. "Environmental Impact Assessment (EIA): Guidance for Consent Authorities regarding Sub-threshold Development." by Department of Environment, Heritage and Local Government
    Publisher: DoEHLG
  3. "Guidance on EIA Screening." by European Commission
    Publisher: Office for Official Publications of the European Communities. EC
  4. "Methods of Environmental Impact Assessment." by Morris, P. and Riki, T.
    Publisher: Routledge
  5. "Environmental Impact Assessment of National Road Schemes – A Practical Guide." by National Roads Authority
    Publisher: NRA
  6. "Best practice guidance for habitat survey and mapping." by Smith, G.F., O’Donoghue, P., O’Hara, K. & Delaney, E.
    Publisher: The Heritage Council.
  7. "A handbook on environmental impact assessment." by Scottish Natural Heritage
    Publisher: SNH
The above information outlines module EV529: "Environmental Impact Assessment" and is valid from 2019 onwards.
Note: Module offerings and details may be subject to change.

Optional MI5106: Environmental Resilience


Semester 1 and Semester 2 | Credits: 5

The module is future oriented and explores the intersection of global change, nature and public health from a resilience perspective. It encompasses a wide range of theory and debate spanning social and environmental issues, and links international examples to local context and relevance. The module will challenge students to use an interdiscipli-nary approach, drawing especially from resilience thinking, to critically reflect on current academic and public, civic, policy debates for a range of social-environment-development topics. Students will be introduced to theoretical concepts and methods of resilience thinking, and will conduct group and individual assignments that utilise these concepts and methods.
(Language of instruction: English)

Learning Outcomes
  1. Define and explain key aspects of resilience thinking.
  2. Critically assess existing evidence in relation to how interacting systems of people and nature can best be managed in the face of uncertainty and shocks.
  3. Evaluate the importance of the approaches employed to communicate social-environmental issues and how that impacts on stakeholders’ responses.
  4. Apply and appraise resilience techniques that are used to help to reduce work/life-based pressures and promote health and well-being.
  5. Demonstrate use and application of interactive formats, dialogue techniques and reflective practice to explore concepts, understand lived realities or identify knowledge gaps.
Assessments

This module's usual assessment procedures, outlined below, may be affected by COVID-19 countermeasures. Current students should check Blackboard for up-to-date assessment information.

  • Continuous Assessment (100%)
Module Director
Lecturers / Tutors
Reading List
  1. "Navigating Social-Ecological Systems" by Fikret Berkes,Johan Colding,Carl Folke
    ISBN: 1139434799.
    Publisher: Cambridge University Press
  2. "Principles for Building Resilience" by Reinette Biggs
    ISBN: 9781107082656.
    Publisher: Cambridge University Press
The above information outlines module MI5106: "Environmental Resilience" and is valid from 2019 onwards.
Note: Module offerings and details may be subject to change.

Optional BI5108: Green Lab Principles and Practice


Semester 1 and Semester 2 | Credits: 5

This module aims to provide a general overview of key environmental concepts such as climate change, plastic pollution, sustainability, and biodiversity. It will briefly explore how perspectives from psychology, sociology, economics, and the study of ethics and governance provide us with insights into how perception and behaviour influence responses to environmental issues. In addition, the lifecyle of materials, and the environmental impact of the resources and equipment typically used in scientific laboratories will be examined in some detail. These ideas will form the backdrop to a focused study on how the organisation of, and practices in, scientific laboratories can be reformed to reduce their environmental footprint and be established on a more sustainable basis.
(Language of instruction: English)

Learning Outcomes
  1. Describe the main components of the Earth’s climate system, the key factors that influence climate change.
  2. Summarise psychological and social influences on your own and others’ behaviour in response to learning about climate change, biodiversity loss, and other environmental challenges.
  3. List and describe the core principles of sustainability (including sustainability metrics) and indicate which planetary boundaries are currently exceeded.
  4. Report on how your local/regional environment is, or is expected to be, impacted by climate change and identify relevant government or supranational (eg. E.U.) policies that address climate change, greenhouse gas emissions and loss of biodiversity.
  5. Provide the chemical formula for at least four different kinds of plastic that are commonly used in labs and describe their potential ‘cradle-to-grave’ impact on the environment.
  6. Provide examples of circular economy policies and practice that are being implemented within and outside the EU and cite possible limitations to the CE business model.
  7. Advise on the adoption of green practices within research and teaching laboratories in higher education.
Assessments

This module's usual assessment procedures, outlined below, may be affected by COVID-19 countermeasures. Current students should check Blackboard for up-to-date assessment information.

  • Department-based Assessment (50%)
  • Research (50%)
Module Director
Reading List
  1. "Sustainability: the basics" by Peter Jacques
    ISBN: 978-04156084.
    Publisher: Routledge
    Chapters: All
  2. "Don't even think about it: why our brains are wired to ignore climage change" by George Marshall
    ISBN: 978-163286102.
    Publisher: Bloomsbury
    Chapters: All
  3. "Half-Earth: Our planet's fight for life" by E.O. Wilson
    ISBN: 978-163149252.
    Publisher: Liveright
    Chapters: All
  4. "On Fire: the burning question of the green new deal" by Naomi Klein
    ISBN: 978-198212991.
    Publisher: Simon & Schuster
    Chapters: All
  5. "This changes everything: capitalism v the climate" by Naomi Klein
    ISBN: 978-145169739.
    Publisher: Simon & Schuster
    Chapters: All
  6. "Out of the wreckage: a new politics for an age of crisis" by George Monbiot
    ISBN: 978-178663289.
    Publisher: Verso
    Chapters: All
The above information outlines module BI5108: "Green Lab Principles and Practice" and is valid from 2020 onwards.
Note: Module offerings and details may be subject to change.

Optional ST2001: Statistics for Data Science 1


Semester 1 | Credits: 5

The course provides an introduction to probabilistic and statistical methods needed to make reasonable and useful conclusions from data. Topics include probabilistic reasoning, data generation mechanisms, modern techniques for data visualisation, inferential reasoning and prediction using real data and the principles of reproducible research. The course will rely heavily on R (a free open source language) and will include examples of datasets collected in a variety of domains.
(Language of instruction: English)

Learning Outcomes
  1. Calculate conditional probabilities and probabilities for random variables from standard distributions (Binomial, Poisson, Normal).
  2. Summarise data numerically (centre and spread) and graphically (e.g. bar charts, line, area, boxplots, histograms, density plots, scatterplots) with an emphasis on best practice for communication.
  3. Summarise the importance of probabilistic based sampling schemes (e.g. simple random sampling, stratified sampling, cluster sampling).
  4. Summarise the difference between observational and experimental studies and the principles of experimental design.
  5. Perform probability calculations about the sample mean and use them to make inferential statements using the Central Limit Theorem.
  6. Calculate interval estimates for parameter estimation in one sample problems using classical and computational (i.e. bootstrap) approaches.
  7. Perform hypothesis testing (null and alternative hypotheses, type I and II errors and p-values) in a variety of scenarios.
  8. Fit and interpret a simple linear regression model.
  9. Compile a statistical report, i.e. prepare a typed document which introduces the statistical research question being explored, describes the data collection mechanism, provides subjective impressions on relevant numerical and graphical summaries, and outlines conclusions from all formal statistical analyses undertaken.
Assessments

This module's usual assessment procedures, outlined below, may be affected by COVID-19 countermeasures. Current students should check Blackboard for up-to-date assessment information.

  • Written Assessment (75%)
  • Continuous Assessment (25%)
Module Director
Lecturers / Tutors
Reading List
  1. "Open Intro Stats" by David M Diez, Christopher D Barr, Mine Cetinkaya-Rundel
    Publisher: Open Intro
  2. "R for Data Science" by Garrett Grolemund, Hadley Wickham
    Publisher: O’Reilly
  3. "Hitchhikers Guide to GGplot2" by Mauricio Vargas Sepúlveda and Jodie Burchell
    Publisher: Leanpub
  4. "An Introduction to Statistical and Data Sciences via R" by Chester Ismay and Albert Y. Kim
The above information outlines module ST2001: "Statistics for Data Science 1" and is valid from 2019 onwards.
Note: Module offerings and details may be subject to change.

Optional TI6131: Introduction to Development


Semester 1 | Credits: 10

This module introduces students to a wide range of theoretical currents informing the definition of development in a host of contexts and interventionary practices.
(Language of instruction: English)

Learning Outcomes
  1. Demonstrate an understanding of the history of developmental thought and action.
  2. Appreciate and critically engage with the discursive nature of developmental debates.
  3. Navigate complex constellations of interests, legacies and affects in the analysis of locally resonant developmental issues.
  4. Analyse the many linkages that materialise locally between a globalising economy and sustainable social and environmental development practices.
  5. Become cognizant about ways to navigate national interests with global developmental concerns.
  6. Articulate different approaches, ideologies and rhetorics that allow us to approach the nexus between development and other concepts and practices that inform the programme.
Assessments

This module's usual assessment procedures, outlined below, may be affected by COVID-19 countermeasures. Current students should check Blackboard for up-to-date assessment information.

  • Continuous Assessment (100%)
Module Director
Lecturers / Tutors
Reading List
  1. "The companion to development studies" by Desai, V. and Potter, R.
    ISBN: 978-144416724.
    Publisher: Routledge
  2. "Spaces of global capitalism: a theory of uneven development" by Harvey, D.
    ISBN: 978-178873465.
    Publisher: Verso
  3. "Fossil Capital" by Malm, A.
    ISBN: 9781784781293.
    Publisher: Verso
  4. "Capitalism in the Web of Life" by Moore, J.
    ISBN: 9781781689028.
    Publisher: Verso
  5. "Key Concepts in Development Geography" by Potter, R. et. al.
    ISBN: 978-085702585.
    Publisher: Sage
  6. "Uneven development: Nature, capital and the production of space" by Smith, N.
    ISBN: 978-082033099.
    Publisher: University of Georgia Press
The above information outlines module TI6131: "Introduction to Development" and is valid from 2019 onwards.
Note: Module offerings and details may be subject to change.

Optional TI6134: Dynamics of Climate Change


Semester 1 | Credits: 10

Earth’s climate system represents a complex and dynamic interplay of the atmosphere, oceans, cryosphere, lithosphere and biosphere. As an integral part of that system, human activity is influenced by – and increasingly influencing – climate variability on both regional and global scales. This module explores the principal physical processes driving climate, known mechanisms by which local perturbations are transmitted globally, and climatic tipping points that hold the key to abrupt change. Students will be introduced to current concepts in climate dynamics, physical records of past climate change, and the ramifications of anthropogenic activity for future climate. Emphasis will be placed on how we know what we do, and remaining knowledge gaps, within the context of the IPCC 5th Assessment. Case studies will demonstrate the marine, terrestrial, and human aspects of our dynamic climate and our strategies for adaptation and mitigation in a warming world.
(Language of instruction: English)

Learning Outcomes
  1. Conceptualise the fundamental components of the climate system within regional and global contexts
  2. Evaluate the strengths and limitations of marine and terrestrial climate data and their interpretations
  3. Project plausible future impacts of anthropogenic climate change on regional and global scales
  4. Identify key concerns and knowledge gaps for 21st Century society in the face of global warming
  5. Identify and outline critical areas for future research in this discipline
Assessments

This module's usual assessment procedures, outlined below, may be affected by COVID-19 countermeasures. Current students should check Blackboard for up-to-date assessment information.

  • Continuous Assessment (70%)
  • Research (30%)
Module Director
Lecturers / Tutors
The above information outlines module TI6134: "Dynamics of Climate Change" and is valid from 2019 onwards.
Note: Module offerings and details may be subject to change.

Optional TI6102: Marine Spatial Planning and Policy


Semester 2 | Credits: 10

This module critically reviews how society has viewed and used the marine environment through history, examines evolving views on how these systems have been valued, evaluates various policies and practices employed in its management, and explores current and future issues that threaten marine system functionality. Students will be introduced to a range of tools used in managing the marine environment, investigate policy and practice suitability at multiple scales, and gain theoretical insights on the emergence of Marine Spatial Planning policies in Ireland and abroad.
(Language of instruction: English)

Learning Outcomes
  1. Critique and apply a range of geographical concepts and discourse to marine spatial planning debates
  2. Develop and employ a practical understanding of relevant EU Directives related to the planning and use of marine and coastal environments, as well as related Irish legislation, policies, plans, and strategies
  3. Apply and critique the use of various regulatory and participatory tools within marine spatial planning theory for meeting established policy goals
  4. Critically analyse and evaluate geographical scales, processes, debates, theories and policies
  5. Write in a way that explores, synthesises, and critiques academic material while relating it to advancements in the field of marine spatial planning
  6. Demonstrate independent thinking and critically assess the relationship between human geography, marine spatial planning, society, and the environment
  7. Demonstrate the ability to apply the knowledge and understanding gained throughout the course to contemporary marine planning and management issues
Assessments

This module's usual assessment procedures, outlined below, may be affected by COVID-19 countermeasures. Current students should check Blackboard for up-to-date assessment information.

  • Continuous Assessment (70%)
  • Oral, Audio Visual or Practical Assessment (30%)
Module Director
Lecturers / Tutors
Reading List
  1. "Ocean Zoning: Making Marine Management More Effective" by Agardy, T.
    ISBN: 1844078221.
    Publisher: Earthscan
The above information outlines module TI6102: "Marine Spatial Planning and Policy" and is valid from 2019 onwards.
Note: Module offerings and details may be subject to change.

Optional EV532: Climate Change & Biodiversity


Semester 2 | Credits: 5

The Convention on Biological Diversity identified Climate Change as one of five global drivers of biodiversity loss. This module on Climate Change and Biodiversity introduces students to the scientific evidence for climate change, direct and indirect impacts on biodiversity, and the policy approaches driving the climate change adaptation process in Ireland. The module outlines the vulnerability of Irish biodiversity to climate change. In the module, special emphasis is given to assessing the resilience of biodiversity to help mitigate climate change impacts. It includes case studies to highlight the implications for biodiversity in implementing climate change adaptation strategies.
(Language of instruction: English)

Learning Outcomes
  1. Interpret projected climate change impact scenarios and differentiate between a range of associated mitigation and compensation strategies
  2. Critique the implications of climate change impacts for nature conservation policy and practice
  3. Consider climate change in preparing and planning for Natura 2000 site conservation targets
  4. Prepare and produce biodiversity guidelines in light of climate change impacts and climate change adaptation strategies
  5. Evaluate the role of spatial planning to implement adaptation strategies
Assessments

This module's usual assessment procedures, outlined below, may be affected by COVID-19 countermeasures. Current students should check Blackboard for up-to-date assessment information.

  • Continuous Assessment (100%)
Module Director
Lecturers / Tutors
Reading List
  1. "Biodiversity and Climate Change in Ireland Briefing Paper Submitted to Comhar SDC" by Coll, J. Maguire, C., Sweeney, J.
  2. "Conserving biodiversity in a changing climate: guidance on building capacity to adapt." by DEFRA
    Publisher: DEFRA
  3. "Climate change and biodiversity adaptation: the role of the spatial planning system NECR004." by Natural England
  4. "Climate Change 2007. The Fourth Assessment Report (AR4)." by Intergovernmental Panel on Climate Change.
    Publisher: Cambridge Unviersity Press,
  5. "Mainstreaming Biodiversity in Development. Case Studies from South Africa." by Pierce, S., Cowling R., Sandwith, T. and MacKinnon, K.
    Publisher: World Bank,
  6. "Mainstreaming Conservation in Infrastructure Projects. Case Studies from Latin America." by Quintero J. D.
    Publisher: World Bank,
  7. "The Role of Indigenous Peoples in Biodiversity Conservation. The Natural but Often Forgotten Partners." by Sobrevila, C.
    Publisher: World Bank,
  8. "Adapting to Climate Change. Lessons Learned, Work in Progress and Proposed Next" by Vergara, W.
The above information outlines module EV532: "Climate Change & Biodiversity" and is valid from 2019 onwards.
Note: Module offerings and details may be subject to change.

Optional EV534: Invasive Species & Biodiversity


Semester 2 | Credits: 5

This module explores how the local biodiversity can be impacted by a range of invasive species. In particular, this module focuses on the impacts of invasive species on native biodiversity and on the role of humans as vectors of invasive species and minimising the impacts of invasive species. In addition, it outlines the role of planning authorities in supporting resilient ecosystems through invasive species eradication or control programmes. Emphasis will be placed on understanding how invasive species become established and will look at case studies highlighting current thinking on control or eradication measures.

Learning Outcomes
  1. Apply legislative obligations and implement policy measures against invasive species
  2. Identify a number of invasive plants and animals, and determine the role of humans in different mechanisms of dispersal/spread and colonisation
  3. Assess impacts of invasive species on a range of habitat types
  4. Evaluate eradication and biosecurity strategies in terms of cost-effectiveness, time, efficacy, local community participation and implementation
  5. Prepare, produce and implement control and eradication guidelines
Assessments

This module's usual assessment procedures, outlined below, may be affected by COVID-19 countermeasures. Current students should check Blackboard for up-to-date assessment information.

  • Continuous Assessment (100%)
Module Director
Lecturers / Tutors
Reading List
  1. "Alien invasive species in Irish water bodies. pp 61-69. EPA (2007-W-MS-2-S1) STRIVE End of Project Report" by Maguire, C., Gallagher, K., Christine Maggs, C., Dick, J., Caffrey, J. O’Flynn, C., Fitzpatrick, U., Kelly, J. & Harrod, C.
  2. "The ecology, distribution and invasiveness of Gunnera L. species in Connemara, western Ireland. Biology and Environment: Proceedings of the Royal Irish Academy 111B. 3" by Sheehy Skeffington, M. and Hall, K.
  3. "Invasive species in Ireland. Unpublished report to Environment & Heritage Service and National Parks & Wildlife Service." by Stokes, K., O'Neill, K. & McDonald, R.A.
    Publisher: Quercus, Queens University Belfast,
  4. "Ecophysical traits of invasive and non-invasive introduced Impatiens species." by Ugoletti, P., Stout, J.C. and Jones, M.B.
    Publisher: Biology and Environment: Proceedings of the Royal Irish Academy 111B. pp1-14
The above information outlines module EV534: "Invasive Species & Biodiversity" and is valid from 2019 onwards.
Note: Module offerings and details may be subject to change.

Optional MK5118: Social Marketing & Sustainability


Semester 2 | Credits: 5

Many if not all social marketing interventions proposed could be considered in terms of marketing systems today, i.e. focussing on generalised value exchange per se and the intricacies of understanding exchange from a social systems point of view. This module critically reflects upon nesting behaviour change within a social marketing systems perspective, to scale out and up social change for sustainability.
(Language of instruction: English)

Learning Outcomes
  1. Explain the role of Social Marketing for behaviour and social change.
  2. Critically differentiate between Social Marketing and other forms of marketing.
  3. Critically discuss the conceptual and methodological issues that underlie Social Marketing.
  4. Detail the more commonly used change theories in Social Marketing.
  5. Critically discuss three causal dynamics of an intervention; social mechanisms, strategic action fields and generalised value co-creation.
  6. Explain how, using social marketing, the state and non-profit organisations can take a deliberate and proactive role in the process of participatory problem-solving.
  7. Debate the pros, cons and ethics of capitalist-based societies with their consumption lifestyles.
  8. Critical understanding the social and institutional context of sustainable behaviour for policy and social innovation.
Assessments

This module's usual assessment procedures, outlined below, may be affected by COVID-19 countermeasures. Current students should check Blackboard for up-to-date assessment information.

  • Written Assessment (60%)
  • Continuous Assessment (40%)
Module Director
Lecturers / Tutors
The above information outlines module MK5118: "Social Marketing & Sustainability" and is valid from 2017 onwards.
Note: Module offerings and details may be subject to change.

Optional ST2002: Statistics for Data Science 2


Semester 2 | Credits: 5

This course will provide an introduction to commonly used techniques in statistics when analysing data from experiments and observational studies. Topics include classical and modern methods in interval estimation, regression models for prediction problems, modern approaches for visualising multivariate data and the principles of reproducible research.

Learning Outcomes
  1. Conduct and interpret a two-sample and paired t-test using classical hypothesis testing and modern computational approaches.
  2. Conduct and interpret a chi-square test using classical and computational approaches.
  3. Use Simple Linear Regression (SLR) to make inferences about relationships between a response variable and an explanatory variable.
  4. Check the assumptions underlying a SLR model.
  5. Apply methods to visualise multivariate data (e.g. radar plots, case profile plots, heatmaps).
  6. Apply hierarchical clustering techniques (e.g. nearest neighbours) in multivariate data.
  7. Compile a statistical report, i.e. prepare a typed document which introduces the statistical research question being explored, describes the data collection mechanism, provides subjective impressions on relevant numerical and graphical summaries, and outlines conclusions from all formal statistical analyses undertaken.
Assessments

This module's usual assessment procedures, outlined below, may be affected by COVID-19 countermeasures. Current students should check Blackboard for up-to-date assessment information.

  • Written Assessment (75%)
  • Continuous Assessment (25%)
Module Director
Lecturers / Tutors
Reading List
  1. "Open intro Stats" by David M Diez, Christopher D Barr, Mine Cetinkaya-Rundel
    Publisher: OpenIntro
  2. "Statistical inference for Data Science" by Brian Caffo
    Publisher: Leanpub
  3. "Hitchhikers Guide to GGplot2" by Mauricio Vargas Sepúlveda and Jodie Burchell
    Publisher: Leanpub
  4. "R for Data Science" by Garrett Grolemund, Hadley Wickham
    Publisher: O'Reilly
The above information outlines module ST2002: "Statistics for Data Science 2" and is valid from 2019 onwards.
Note: Module offerings and details may be subject to change.

Optional PAB5127: Geospatial Analysis and Remote Sensing


Semester 2 | Credits: 5

This module provides a broad overview of geospatial analysis, remote sensing and spatial databases, and application of Geospatial Information Systems (GIS), with examples from agricultural systems. During this module, students will be provided with hands-on education in the principles and practice of GIS. The module will provide knowledge on how to combine data from a broad range of sources and formats, including digital maps, administrative data, census, surveys and satellite imagery. Content focuses on the representation, acquisition, management, manipulation and analysis of spatial data. The module provides students with GIS concepts, applications for ecological, environmental and land-use analyses and hands-on experience of commercial and free GIS softwares. The module also provides an overview of data streams from remote sensing, including how to access and utilise data from remote sensing data streams (e.g. from satellite data).
(Language of instruction: English)

Learning Outcomes
  1. Critically review the availability and utility of GIS and remote sensing applications, articulate the principles of data acquisition, management and analysis in relation to GIS and remote sensing.
  2. Input, manage, analyse and output spatial and remote sensing data using ArcGIS and qGIS softwares.
  3. Discuss the principles of generating and integrating spatial data from primary and secondary sources and designing the databases.
  4. Discuss the principles of remote sensing and analysis techniques, remote sensing datastreams and their applicability to agricultural systems and environmental applications.
  5. Demonstrate skills in statistical analysis and problem-solving in relation to remote sensing and GIS.
  6. Explain the main concepts of agri-environmental modelling and planning
  7. Discuss the potential for disruptive advances relating to society and economy in the agri-environmental sphere arising from use of geospatial and remote sensing data.
  8. To take responsibility for his/her own learning
Assessments

This module's usual assessment procedures, outlined below, may be affected by COVID-19 countermeasures. Current students should check Blackboard for up-to-date assessment information.

  • Continuous Assessment (100%)
Module Director
Lecturers / Tutors
The above information outlines module PAB5127: "Geospatial Analysis and Remote Sensing " and is valid from 2020 onwards.
Note: Module offerings and details may be subject to change.

Why Choose This Course?

Career Opportunities

The course will produce well-rounded, motivated, mobile and dynamic problem-solvers and leaders who can work in any area related to environment, marine and energy. The subject knowledge, transferable skills and thesis elements of the course are designed to provide graduates with the opportunity to carry out further research, work in the public or private sector, or create their own employment.

Graduates will acquire transversal and multidisciplinary skills in governance, communication and management, enabling them to take on roles within an industrial setting, or within a regulatory body or private consultancy firm. Careers such as project managers, consultants and advisors exist within public and private sectors in Ireland and elsewhere. In addition, the course will provide opportunities for some students to move into PhD programmes or other research roles.

Who’s Suited to This Course

Learning Outcomes

 

Work Placement

Study Abroad

Related Student Organisations

Course Fees

Fees: EU

€7,450 p.a. 2020/21

Fees: Tuition

€7,226 p.a. 2020/21

Fees: Student levy

€224 p.a. 2020/21

Fees: Non EU

€20,750 p.a. 2020/21

Find out More

Dr Gesche Kindermann
T: +353 91 493863
E: gesche.kindermann@nuigalway.ie

Dr Caitriona Carlin
T: +353 91 493863
E: caitriona.carlin@nuigalway.ie 

Gráinne

Gráinne Griffin |   MSc Environmental Leadership Graduate

I entered this course with a BSc in Applied Freshwater and Marine Biology, but I wanted to further my BSc with a deeper level of knowledge and skillset on the environment, particularly in marine conservation. This MSc provided me with a well-rounded opportunity to participate in modules and projects relevant to our changing natural world, addressing environmental concerns such as rising sea levels and pollution. From key skills of communication, problem-solving and management, this course is delivered by excellent lecturers and researchers respected in their roles of expertise, providing their students with the education and guidance to progress into a vast range of careers in environmental sectors. I have gained invaluable knowledge and experience that has provided me with the clarity of how to address climate and environmental changes. I have learned about the value of nature and the importance of effectively and appropriately communicating research findings with individuals and communities of society, governments and international bodies; our changing world requires this inclusive collaboration from all nations for guidance on a path of global sustainability.

Downloads

  • Postgraduate Prospectus 2021

    Postgraduate Prospectus 2021 PDF (11.3MB)

  • Undergraduate Prospectus 2021

    Undergraduate Prospectus 2021 PDF (14.6 MB)

  • MSc in Computational Genomics

    MSc in Computational Genomics PDF (202 KB)