Research Skills and Statistical Analysis module (LV53002)

Develop the skills needed to conduct scientific research and statistically interpret your results

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Credits

20

Module code

LV53002

In the fields of toxicology and drug analysis, developing research skills, mastering the application and interpretation of statistical methods, and being able to effectively communicate results to a wide range of audiences is paramount. These skills empower the professional, among other things.

What you will learn

In this module, you will:

  • develop and validate analysis methods
  • understand and interpret data accurately
  • maintain rigorous quality control
  • drive continuous improvement
  • ensure your work is understood by others

By the end of this module, you will be able to:

  • evaluate and critically reflect on the professional skills required of a researcher, specifically around health and safety, research ethics, and equality and diversity 
  • demonstrate a critical understanding of the scientific method and the principles of experimental design and apply that knowledge to new and complex experimental problems
  • use appropriate statistical analysis/data visualisation software to design, plan, and apply appropriate statistical analysis and data visualisation to experimental data 
  • perform a systematic literature review on research topics relevant to the Programme content
  • demonstrate critical reasoning skills through analysis of scientific data
  • be able to communicate complex scientific concepts effectively to both specialist and non-specialist audiences 

If you are enrolled in the MSc course or are considering continuing your studies, you are advised to select an area of study that could form the basis of your research project.

Assignments / assessment

  • portfolio (50%)
  • open book exam (50%)

Teaching methods / timetable

Learning and teaching will take place on our virtual learning environment, My Dundee.

Lectures will be prerecorded allowing you to learn at your own pace and will be supported by online live sessions, tutorials, discussion boards, reading lists, and self-assessment tools.

Courses

This module is available on following courses: