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MSc Sustainable Water Management


Mode of Study: Full Time Department: Lancaster Environment Centre
UCAS Code: Duration/Length: 12 Month(s)
QAA Subject Management: Earth Science, Environmental Sciences an Director of Studies: Dr NA Chappell
Total Credit Points: 180

Educational Aims: 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.

Learning Outcomes: Knowledge, Understanding and Skills

  • Students will be able to:

    - 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.

Contact Information

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