Research Skills & Statistical Methods - ENV00030H

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  • Department: Environment and Geography
  • Module co-ordinator: Dr. Andy Marshall
  • Credit value: 20 credits
  • Credit level: H
  • Academic year of delivery: 2019-20

Module will run

Occurrence Teaching cycle
A Autumn Term 2019-20 to Summer Term 2019-20

Module aims

The course aims to equip all students with an appreciation of the decisions and skills that are required for designing, executing and analysing environmental and social surveys. It does not aim to provide a comprehensive guide to all the available statistical techniques, rather to build confidence and skills such that students are familiar with the common statistical methods and competent in the use of statistical software. The technical elements of the module will also be complimented by sessions on some of the more practical research skills required for improving employability for a research career in the environmental and social sciences.

Module learning outcomes

By the end of the module students will be able to:

  • Take into account the ethical and practical considerations required for achieving a successful research career
  • Analyse data robustly for their final year ISM
  • Produce a report which will: discuss the rationale for the work; discuss the results using tables and figures as appropriate; use relevant evidence and accurately reference.
  • Design and execute robust environmental sampling methods
  • Format, store and edit a dataset
  • Use appropriate procedures to explore and analyse data
  • Understand key statistical techniques used for analysing simple environmental data
  • Use the R environment to develop their computational and quantitative data skills beyond the scope of the course

Generic / Employability Skills:

The R environment is used increasingly to analyse data and gaining expertise in its use will give you a worthwhile skill to add to your CV. Being able to analyse large data sets and handle data robustly, is also a skill required in a number of careers, particularly in those that involve scientific analyses.

There are also a number of generic skills including:

  • The ability to prepare work independently.
  • The ability to produce a scientific report.
  • The ability to apply relevant statistical tests and to understand how to handle the output.
  • Time management.


Task Length % of module mark
N/A 100

Special assessment rules



Task Length % of module mark
N/A 100

Module feedback

Students will receive feedback on the two pieces of formative work before they submit their summative assessment. Feedback for both summative and formative assessments will be returned within the departmental standard of 4 working weeks.

Indicative reading

Information currently unavailable

The information on this page is indicative of the module that is currently on offer. The University is constantly exploring ways to enhance and improve its degree programmes and therefore reserves the right to make variations to the content and method of delivery of modules, and to discontinue modules, if such action is reasonably considered to be necessary by the University. Where appropriate, the University will notify and consult with affected students in advance about any changes that are required in line with the University's policy on the Approval of Modifications to Existing Taught Programmes of Study.