MSc (Full Time)
Year:13/14
UCAS Code:
Minimum Length:12 Month(s)
Maximum Length:12 Month(s)
Credit Points:180
Director of Studies:Dr NA Chappell
Compulsory Modules
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The student must take the following modules:
Educational Aims: Knowledge, Understanding and Skills
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The range of transferable skills that students are expected to gain includes:
IT literacy in mainstream word processing, analysis and presentation software.
Presenting information in verbal, electronic and hardcopy media,
Numerical skills, including statistical analysis and simulation modelling
Practical laboratory and field skills,
The ability to critically analyse and interpret data.
Learning Outcomes: Knowledge, Understanding and Skills
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Have in depth knowledge of the hydrological processes (?scientific hydrology') affecting the management of groundwater and surface water resources
Demonstrate high level skills in hydrological modelling (physics based, conceptual and time series techniques) of problems affecting the UK Water Sector
Demonstrate high level skills in automated monitoring systems and site investigation technologies used within the UK Water Sector
Interpret hydrological observations and model results
Have an ability to plan and undertake hydrological investigations to provide solutions to specific water related problems
Interface hydrological observations and models in a statistically appropriate manner
Relate scientific developments to engineering practice within the UK Water Sector
Appreciate stakeholder perspectives to water related issues
On completion of the programme, it is expected that each student will have developed the following
intellectual skills:
Ability to develop a robust scientific argument, formulate and test hypotheses, and to assess
contrasting scientific theories.
Problem solving and decision making, identifying, abstracting, critically evaluating and synthesizing relevant (scientific technical) information.
Self direction and originality in tackling and solving problems, acting autonomously in planning and implementing tasks at a professional or equivalent level.
The use of experimentation within a scientific problem solving exercise and handling complexity and uncertainty.
General: Knowledge, Understanding and Skills
The range of transferable skills that students are expected to gain includes:
IT literacy in mainstream word processing, analysis and presentation software.
Presenting information in verbal, electronic and hardcopy media,
Numerical skills, including statistical analysis and simulation modelling
Practical laboratory and field skills,
The ability to critically analyse and interpret data.
