Renewable Energy & Environmental Modelling

Why study Renewable Energy and Environmental Modelling at Dundee?

Climate change is possibly the most significant threat that humanity has ever faced. A new generation of scientists, engineers and policy-makers will need to be equipped with skills to enable them to make informed decisions on all aspects of this important and rapidly developing subject.

Our Masters degree in Renewable Energy and Environmental Modelling is designed to produce graduates with a broad and balanced skills base.

We provide the opportunity for you to go on field trips and external conferences as a part of your coursework, and you will have the option of undertaking either an industry-based or research-related project.

The Dundee MSc is intended to interact with the renewables industry on many levels, enabling frequent networking opportunities during the year. The conference-style modules also allow delegates from industry to attend and enhance their skills in an informal and friendly setting. Graduates from this degree will be able to make an immediate contribution to the renewable energy sector.

Dundee University Centre for Renewable Energy (DUCRE)

DUCRE brings together a wide range of scientists with strong interests in renewable energy and evironmental issues. Staff and students in the Centre are engaged in a wide range of diverse renewable energy and environmental research. Projects range from electric vehicle technologies, to wind, solar, and hydro technologies, and from energy policy issues to Third World environmental development analysis.

The MSc in Renewable Energy and Environmental Modelling suits students and professionals from diverse backgrounds, including scientists, engineers, environmentalists, and policy-makers.

The programme has been designed to appeal to graduates with first degrees in the physical sciences, engineering, environmental science and related subjects. However, all applications will be assessed on their merits, regardless of background, and any relevant experience will also be taken into consideration.