Program Overview

Statistics and Sustainability (M.Sc. / P.Grad.Dip.)

NFQ Level 9

Overview

This one year full-time conversion course is intended for students who wish to deepen their statistical skills and develop an in-depth and applied understanding of sustainability from a variety of perspectives.

Course Details

• The course provides students with a wide range of modelling, computing, and statistical skills, and they will study a variety of sustainability topics that are key to developing solutions to environmental challenges from global to local levels.
• Communication skills will be developed via individual and team project work embedded in the curriculum, and there is an emphasis on developing student’s skills to translate statistical outcomes to broad audiences in multiple contexts.

Is This Course For Me?

Anyone interested in understanding the natural environment, its resources, and how to best use them in a sustainable manner should study Statistics and Sustainability. This could include students studying environmental science, natural resource management, economics, public policy, and business.

Career Opportunities

Designed for graduates of disciplines other than statistics who want to develop and deepen their knowledge of statistical methods for solving problems involving data, this course allows graduates to increase their employability and apply the ideas and methods to which they have been introduced in their own work. Graduates from the M.Sc. in Statistics and Sustainability will emerge highly numerate and statistically skilled, and with an in-depth understanding of the sustainability and environmental issues facing today’s world.

Course Structure

• The full programme, comprising 90 ECTS credits, takes one calendar year to complete and leads to the qualification of M.Sc. in Statistics and Sustainability, a Level 9 award under the Irish National Framework for Qualifications (NFQ) Level-9.
• The course runs full-time over a twelve-month period commencing late September and completing early September the following year.
• Formal teaching is divided into two twelve-week semesters, running from September-December and from January-April.

Course Content

• Students will study sustainability topics key to developing solutions to environmental challenges.
• They will also gain experience in developing and applying statistical models, and geographic information systems and remote sensing technologies, to local and global sustainability problems.
• They will be exposed to the underlying theory of the statistical methodologies studied to deepen their statistical skills and their ability to promote statistical innovation.
• Students will take modules that include:
  • Foundations of Statistics
  • Advanced Linear Models I
  • Advanced Linear Models II
  • GIS: Geographic Information Systems
  • The Sustainable Green Organisation
  • Research Methods
  • Statistics and Sustainability Group Projects
  • A final written Dissertation

Awards

• NFQ Level 9

Number of Places

• 9 EU and 16 non-EU Places

Next Intake

• September 2025

Course Director

• Professor Arthur White

Closing Date

• 31st July 2025

Admission Requirements

• Applicants must have first-class or upper second-class (2.1) Honours undergraduate degree that includes at least one year of university-level Mathematics (including linear algebra and calculus topics).
• The programme also caters for applicants who already have an undergraduate degree in Mathematics, Statistics, or other highly quantitative subjects.

English Language Requirements

• All applicants to Trinity are required to provide official evidence of proficiency in the English language.
• Applicants to this course are required to meet Band B (Standard Entry) English language requirements.

Course Fees

• For a full list of postgraduate fees, please refer to the relevant section of the university's website.

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