Mathematical Sciences (Environmental Science) MSci
Course
In Exeter
Description
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Type
Course
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Location
Exeter
The University of Exeter featured in the UK’s top 10 in the past 3 years (The Times Good University Guide) and ranks in the top one per cent of universities in the world according to the Times Higher Education international rankings. We are a member of the prestigious Russell Group of research intensive universities; the UK’s equivalent to the Ivy League.
The quality of education and experience received at the University of Exeter means we have never been out of the top 10 for overall student satisfaction in the National Student Survey.
Facilities
Location
Start date
Start date
Reviews
Subjects
- IT
- Environmental Science
Course programme
The modules we outline here provide examples of what you can expect to learn on this degree course based on recent academic teaching. The precise modules available to you in future years may vary depending on staff availability and research interests, new topics of study, timetabling and student demand.
Year 1The first year modules introduce you to the main areas of university-level mathematics, consolidating and building on the material you will have learned at A level. Alongside traditional core mathematical expertise, the Fundamentals of Interdisciplinary Mathematics module will give you problem-based learning skills around a number of important scientific themes. As a further key element of the programme you will develop skills for analysing and interpreting complex data, for which the Information Systems module provides the foundation.
Compulsory modules Module Advanced Calculus Calculus and Geometry Dynamics Fundamentals of Interdisciplinary Mathematics I Information Systems Probability and Statistics Scientific Programming Vectors and Matrices Year 2Core modules further develop fundamental concepts in mathematics and statistics whilst optional modules open up areas of applications of mathematics in science and technology. Problem-based learnings are strengthened in Fundamentals of Interdisciplinary Mathematics II. Data analysis skills are further enhanced in the Data, Signals and Systems and Statistical Modelling modules. Progression to the third year of the MSci programmes, or transfer from BSc to MSci Mathematical Sciences, is conditional on satisfactory performance in the second year.
Compulsory modules Module Data, Signals and Systems Differential Equations Fundamentals of Interdisciplinary Mathematics II Linear Algebra Stochastic Processes Optional modules Module Atmosphere and Ocean Systems Electrical Energy Conversion and Transport Evolution of Human Societies Fundamentals of Interdisciplinary Mathematics II Geographical Information Science and Systems Introduction to Ecological Consultancy Landscape Evolution Natural Hazards and Risk Population and Community Ecology Remote Sensing for Environmental ManagementStatistical Modelling The Politics of Climate Change and Energy Vector Calculus and Applications Year 3
In the third year, a wide range of modules are available in both mathematics and in numerous important areas of science and technology. These give you the option to specialize in a specific area of mathematical sciences or to continue with a generalist mathematics programme. MSci students also have the option of studying in the USA, Canada, Australia or New Zealand for half of the third year.
Compulsory modules Module Data Analytics Mathematical Sciences Project Work Placement Optional modules Module Animal Life History Bayesian Inference Coevolutionary Interactions Evolution and Ecology of Disease Graphs and Networks Human Behavioural Ecology Issues in Climate Change Marine Renewable Energy and Hydropower Mathematical Biology and Ecology Nonlinear Systems and Control Partial Differential Equations Smart Energy and Energy Storage Technologies Solar Power Sustainability Symbiosis in Marine Systems The Behavioural Ecology of Information Use Trends in Ecology and Evolution Wind Power Year 4 (MSci Environmental Science)Environmental science is data rich. Modules covered include Computational Modelling and Simulation, Advanced Statistical Methods and further options in Climate, Hazards and Risk Assessment, and Understanding Environmental Change. The field course provides you with a unique opportunity to put your mathematical skills into action. The research project allows you to make an in depth study in a chosen area of specialisation.
Compulsory modules Module Advanced Statistical Methods Computational Modelling and Simulation Field Course Research Project Optional modules Module Climate, Hazards and Risk Assessment Data Handling and Visualisation Ecological Responses to Climate Change Environmental Sustainability in Practice Understanding Environmental ChangeMathematical Sciences (Environmental Science) MSci