In this module, you will work on a research problem, applying statistics/data science/machine learning/AI methods to an environmental challenge. You will apply methods and tools learned in other modules and demonstrate their application to a particular research question. The project will require an understanding of the setting, a critical review of possible approaches, choice of appropriate methodology, an extended piece of data analysis and a clear and concise write up of the background, data, methodology, results and conclusions. This is an independent project, supervised by an expert, or team of experts, from the relevant area, and culminates in writing a dissertation, describing your research and its results. Research topics can be selected from across the breadth of subjects within Environmental Intelligence.

This module aims to give you in-depth experience of applying statistics/data science/machine learning/AI methods to real-world problems in the field of environmental intelligence, preparing you for work in a commercial setting or further post-graduate work. The module aims to build on the knowledge and skills you have acquired in the taught modules of the programme to allow you to investigate an area of particular interest to you. It aims to give you experience of many aspects of research work, including problem formulation, literature review, planning, tool development, experimentation, analysis, interpretation and presentation of results.

On successful completion of this module you should be able to:

Module Specific Skills and Knowledge

1. Demonstrate knowledge of a research topic of relevance to the MSc Environmental Intelligence programme, acquired through a deep and self-motivated exploration of that topic. 

2. Design and follow systematically the phases of research project development.

3. Apply sophisticated and appropriate analysis and development techniques at each stage of a project. 

Discipline Specific Skills and Knowledge

4. Show familiarity with the background and context of a new application area. 

5. Apply methods and tools learnt in the context of other fields to the application in question.

6. Produce full documentation as appropriate to the system and research.

Personal and Key Transferable / Employment Skills and Knowledge 

7.Conduct independent study, including library and web-based research

8. Plan an extended project and manage time effectively.

9. Present work to a non-specialist audience.

10. Communicate the results of a data analysis clearly and accurately, both in writing and verbally.

The content of this module will vary dependent on the particular research project examined and the methods and tools applied.

Please refer to the TQA section on Referral/Deferral: https://as.exeter.ac.uk/academic-policy-standards/tqa-manual/aph/consequenceoffailure/

These will vary depending on the research project chosen.

Reading list for this module: