Entry requirements

Applicants must have first class or upper second-class honours undergraduate degree that includes at least one year of university-level mathematics (including linear algebra and calculus topics).

Months of entry


Course content

This full-time one-year 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. This is a flagship MSc of Trinity College Dublin’s E3 ‘Engineering, Environment and Emerging Technology’ initiative and the course embodies the E3 mission to create a more sustainable future for our world.

The course is designed to cater for students from diverse backgrounds through flexible learning options in the course modules. 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.

Students will also gain experience on the application of statistical techniques and models, and Geographic Information Systems (GIS) and remote sensing technologies, and their application to sustainability problems. They will be equipped with the quantitative skills needed to promote data-based decision making and 'green' innovation. 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. Graduates from the MSc 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.

Fees and funding

International students

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

Professor Arthur White
01 8961765