Taught course

Data Science for the Environment

Institution
Lancaster University · Lancaster Environment Centre
Qualifications
MSc

Entry requirements

An upper second class honours degree, or its equivalent, in a relevant subject.

Months of entry

October

Course content

This MSc programme is aimed at students with a background in environmental, earth or ecological sciences who want to develop strong quantitative, data handling and analytical skills for application within their field.

The production of data that are relevant to environmental issues is increasing at a phenomenal rate. Technological advances in fields such as remote sensing, imaging and forecasting are increasingly producing data from more sources and with higher resolution than we have been able to handle until recently. There is a need for data scientists who are able to organise, analyse and disseminate such data in order to answer questions which will help us manage a range of scenarios, from management of natural resources to predicting population change.

This programme will involve a mixture of taught modules and a research dissertation with a placement in industry or with a research organisation.

Modules on offer include:

- Data Mining

- Data Science Fundamentals

- Food Security, Agriculture and Climate Change

- Geoinformatics

- Global Change and the Earth System

- Habitat Management

- Modelling Environmental Processes

- Programming for Data Scientists

- Statistical Inference

- Statistical Methods and Modelling

Information for international students

IELTS: 6.5

Fees and funding

www.lancaster.ac.uk/pgfunding/

Qualification and course duration

MSc

full time
12 months

Course contact details

Name
Postgraduate coordinator
Email
lec.pg@lancaster.ac.uk
Phone
+44 (0)1524 510257