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The University of Manchester

Manchester , England ,United Kingdom

MSc Environmental Monitoring, Modelling and Reconstruction

MSc Environmental Monitoring, Modelling and Reconstruction focuses on analysing past, present, and future dynamic environments, providing you with the skills for a career in environmental management or consultancy, and a firm grounding for research in the environmental sciences. 

Concerns over the human impact on the environment have stimulated demand from governments and industry for the monitoring, analysis and modelling of natural processes in environmental systems. This is essential if we are to improve understanding of the interrelation of environmental variables in order to predict and manage their responses to anthropogenic perturbations.

Studying this course, you will gain:

advanced theoretical knowledge and practical expertise in order to collect, interpret and analyse contemporary and past environmental data;
modelling skills, in order to investigate the interrelationships between environmental variables, and to predict their responses to changing internal and external conditions;
intellectual and practical skills, in order to design and undertake field and/or laboratory experiments in contemporary environmental process-monitoring, or palaeoenvironmental reconstruction, and to design and test appropriate environmental models with the data you collect.
We also use the proximity of Manchester to the upland areas of the Peak District; several past MSc students completed dissertation work in close collaboration with various organisations responsible for land management in the Peak District, giving their work direct policy relevance.

Intakes

  • Sep

Application Processing Time in Days: 20

Application Process

More Information Required
10 Days
Possible Interview Call from Institution
10 Days
Provisional/Unconditional Offer
20 Days
Visa Process
15 Days

Minimum English Language Requirements

English Level Description IELTS (1.0 -9.0) TOEFL IBT (0-120) TOEFL CBT (0-300) PTE (10-90)
Expert 9 120 297-300 86-90
Very Good 8.5 115-119 280-293 83-86
Very Good 8 110-114 270-280 79-83
Good 7.5 102-109 253-267 73-79
Good 7 94-101 240-253 65-73
Competent 6.5 79-93 213-233 58-65
Competent 6 60-78 170-210 50-58
Modest 5.5 46-59 133-210 43-50
Modest 5 35-45 107-133 36-43
Limited 4 32-34 97-103 30-36
Extremely Limited < 4 < 31 < 93 < 30