Training and Development

 

Essential Skills Training

In the first year, all students attend a bespoke Essential Skills Training programme. These courses deliver training in areas prized by environmental sector employers but are equally applicable to careers outside of this sector. They will also increase your knowledge-base for your research.

Essential Skills Training is delivered as two day interactive, residential workshops, each led by an Imperial academic with input from a number of external speakers on the topics below:

  

Modelling, Risk & Uncertainty

Examples of specific applications from research and practice will be used to develop awareness of modelling including model hierarchies, assessment of model error, and design and diagnosis of experiments. We will also develop students’ ability to assess and make decisions in the context and presence of uncertainty, delivered by statisticians and scientists working with external partners. This course is run by BGS.

Innovating for Sustainable Development

In this course we explore sustainability issues by inviting key leaders from the business and scientific community, NGOs and government.
Students are challenged to work on solutions for a low-carbon future and are exposed to current innovators who impact and shape the world’s economy and environment. This is co-organised with Scenario DTP.

Translating Research into Practice Students will develop skills to communicate, engage and apply science to inform decision-making with various stakeholders, including policy makers and businesses. The course will allow students to build awareness on the importance of research impact and engagement.
Environmental Big Data This course, run by UK CEH, focuses on using drones to map habitats and data management. It provides participants with the skills needed to create high quality and spatially accurate habitat classification maps, using various types of software, from data captured via a UAV platform. Participants will learn how to process the data, create digital elevation and surface models, operate a UAV within the law, and improve general data management skills
Summary of the table's contents

 



students taking part in team exercise