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PU5017: APPLIED STATISTICS (2018-2019)

Last modified: 22 May 2019 17:07

Course Overview

This course intends to develop the student's awareness of the fact that statistical techniques are integral to scientific research. Researchers must be able to specify a precise research question in statistical terms and then select an appropriate study design in order to carry out an effective research project. They must also be able to assess the adequacy of the research presented in scientific or medical literature. The same skills are also required for many MSc dissertation projects.

Course Details

Study Type Postgraduate Level 5
Session First Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus Foresterhill Sustained Study No
  • Dr Gordon Prescott
  • Dr Shona Fielding

What courses & programmes must have been taken before this course?

  • One of MRes Drug Discovery or MRes Medical Mycology and Fungal Immunology or MSc Clinical Pharmacology or MSc Drug Discovery and Development or MSc Human Nutrition or MSc Global Health and Management or MSc Public Health Research or Master Of Public Health or Master Of Science In Molecular Medicine or Master Of Research In Medical Mycology For Clinicians or MSc Immunology or Master Of Science In Immunology And Immunotherapy or MSc Health Psychology or Master Of Science In Biotechnology, Bioinformatics And Bio-Business or MSc Economics of Health or MSc Bio-Business and Medical Sciences or Master Of Research In Medical Sciences or Master Of Science In Reproductive And Developmental Biology or MSc Genetics or MSc Microbiology or Master Of Science In Industrial Biotechnology

What other courses must be taken with this course?


What courses cannot be taken with this course?

Are there a limited number of places available?


Course Description

What are data? Data types and presentation of data
What is chance? Probability
How does my data relate to the real world? Samples, distributions, statistical inference
Answering research questions with statistical techniques: Hypothesis testing
What if my data are awkward? Non-parametric methods
How does one variable relate to the other? Correlation and simple linear regression
How does one variable relate to several others? Multiple linear regression
Study design for research: Odds ratios and relative risks
Awkward data: Transformations
Relating binary health outcomes to other variables: Logistic regression

Further Information & Notes

This course is taken by students registered for a wide range of MSc programmes based in the School of Medicine, Medical Sciences and Nutrition and by some University staff. Everyone attending lectures must be registered for the course and complete all assessments.

This course equips the student with knowledge of statistical principles and statistical methods. In addition, the student will gain experience of analysing, presenting and interpreting numerical information.

Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

  • 1 Computer Practical during University week s 7 - 9, 11 - 13, 15 - 16
  • 2 Lectures during University week s 7 - 17
  • 1 Tutorial during University week s 14, 17
  • 1 Workshop during University week 10

More Information about Week Numbers

Summative Assessments

The course will be assessed using a multiple choice class test for 10%, a written assessment for 30% and an examination in December (60%).

Formative Assessment

Practice multiple choice quizzes are available for each topic to aid learning.


Feedback for the main assignment will be provided through myAberdeen, along along with feedback podcast discussing results.

Course Learning Outcomes


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