Tag Archives: Environmental Informatics

Matters relating to environmental informatics

Cranfield’s MSc Environmental Informatics renamed to MSc Environmental Data Science

Complex systemsHere at Cranfield University, we run a number of technically-oriented taught Masters courses. This website reflects some of the work of the staff involved in teaching and delivering on these courses.

One of our MSc courses is in ‘Environmental Informatics’.

From the next academic year in October 2015 onwards, we have decided to rename this course. So now the course is known as Cranfield University’s ‘MSc in Environmental Data Science’.

We made this change following careful consideration and advice from our industrial partners and student alumni. It was felt that the new name more closely reflected the ambitions of the course (data, modelling, visualisation and analytical techniques in the environmental sciences), and would stand alumni better in the subsequent jobs market (being a well understood term).

The course is described at http://www.cranfield.ac.uk/courses/masters/environmental-informatics.html and in fact all other aspects of the course remain the same (only the title is changed).

MSc Environmental Data ScienceCranfield University MSc Environmental Data Science

Big Data and Environmental Informatics

Today the sheer volume of environmental ‘big data’ gathered by real-time sensors, data loggers, satellite and aerial remote observation platforms, machinery and simulation outputs, such as climate-change models, can challenge traditional methods for structuring, manipulating and outputting digital information used for decision support. Such spatio-temporal knowledge is required to improve our understanding and management of environmental systems. New informatics techniques can help address this challenge.

Above is a video made of a seminar presented by Cranfield University’s Dr Stephen Hallett, held on 14 May 2014, discussing how current research activities in environmental informatics are addressing the theme of ‘Big Data’, touching on approaches such as data mining, statistical interpretation, and predictive analytics for handling such ‘big data’.

The Seminar was Chaired by Professor Simon Pollard, Cranfield University and Julie Vaughan, Senior Associate, Herbert Smith Freehills LLP.