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2024/25 Taught Postgraduate Programme Catalogue

MSc Environmental Data Science and Analytics

Programme code:MSC-EDS&A-FTUCAS code:
Duration:12 Months Method of Attendance: Full Time
Programme manager:Dr Arjan Gosal Contact

Total credits: 180

Entry requirements:

Entry Requirements are available on the Course Search entry

School/Unit responsible for the parenting of students and programme:

School of Geography

Examination board through which the programme will be considered:

Programme specification:

The Environmental Data Science and Analytics MSc programme is designed for students eager to apply data science in tackling environmental challenges. As the global focus shifts increasingly toward sustainability and the environment, the clear need for skilled individuals in analysing and interpreting environmental data becomes ever more crucial. This MSc blends technical training in data science, whilst retaining a focus on the nuances that multiple environmental contexts bring.
It covers important aspects of environmental modelling, data curation, machine learning, data visualisation, and forming insights; underpinned by a strong foundation in programming-based analysis. Students will be immersed in a practical learning environment, engaging with real-world environmental datasets, and gaining hands-on experience that is directly applicable to contemporary environmental issues.
Students will build the skills needed to analyse, understand, interpret, and visualise complex environmental data; generating insights that address real-world environmental challenges. A mix of individual and collaborative working will encourage the formation of vital communication skills. The in-depth research dissertation will enhance students’ skills in the integration of data science techniques with environmental data.

Year1 - View timetable

[Learning Outcomes, Transferable (Key) Skills, Assessment]

Compulsory modules:

Candidates will be required to study the following compulsory modules

COMP5712MProgramming for Data Science15 creditsSemester 1 (Sep to Jan)
GEOG5301MData to Insights in Multiple Environments30 creditsSemester 1 (Sep to Jan)
GEOG5302MData Science for Practical Applications15 creditsSemester 1 (Sep to Jan)
GEOG5303MCreative Coding for Real World Problems15 creditsSemester 2 (Jan to Jun)
GEOG5304MMachine Learning for Environmental Data15 creditsSemester 2 (Jan to Jun)
GEOG5305MEnvironmental Data Science Project60 creditsSemester 2 (Jan to Jun)

Optional modules:

Candidates will be required to study 30 credits from the following optional modules:

GEOG5060MGIS and Environment15 creditsSemester 2 (Jan to Jun)
GEOG5710MDigital Image Processing for Environmental Remote Sensing15 creditsSemester 2 (Jan to Jun)
GEOG5830MEnvironmental Assessment15 creditsSemester 2 (Jan to Jun)
GEOG5870MWeb-based GIS15 creditsSemester 2 (Jan to Jun)

Last updated: 29/04/2024 16:06:11


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