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PU5058: INTRODUCTION TO HEALTH DATA SCIENCE (2023-2024)

Last modified: 23 Jul 2024 10:43


Course Overview

Nationally and internationally there is recognition of the critical shortage in data-intensive analytic capacity applied to healthcare. This course is an introduction to the field of health data science, with examples of real-life healthcare applications, using the popular data science language R.

Course Details

Study Type Postgraduate Level 5
Term First Term Credit Points 15 credits (7.5 ECTS credits)
Campus Aberdeen Sustained Study No
Co-ordinators
  • Dr Dimitra Blana

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

  • Any Postgraduate Programme

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

None.

Are there a limited number of places available?

No

Course Description

This introductory course will give students from a variety of backgrounds a firm understanding of data science and its application to the health domain. The course will cover how data science is used to address healthcare problems; the role of health data scientists in research and healthcare; current challenges in the field; and the data science workflow using SQL and R (no coding experience is required).


Details, including assessments, may be subject to change until 30 August 2024 for 1st term courses and 20 December 2024 for 2nd term courses.

Summative Assessments

Report: Individual

Assessment Type Summative Weighting 70
Assessment Weeks Feedback Weeks

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Feedback

A report describing the application of the health data science workflow to address an example healthcare problem.

Feedback will be provided a maximum of 3 working weeks after submission. Students will receive a grade, as well as written feedback on their submission.

Learning Outcomes
Knowledge LevelThinking SkillOutcome
ConceptualEvaluateDiscuss the limitations and assumptions made in health data science projects
ProceduralApplyApply the data science workflow using R to healthcare problems
ProceduralCreateCommunicate information from health data in written form
ProceduralUnderstandExplain how data science is used to address healthcare problems

Poster Presentation

Assessment Type Summative Weighting 30
Assessment Weeks Feedback Weeks

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Feedback

A resource such as a poster, infographic, or slide deck, aimed at the general public, to discuss one of the current challenges in health data science.

Feedback will be provided a maximum of 3 working weeks after submission. Students will receive a grade, as well as written feedback on their submission.

Learning Outcomes
Knowledge LevelThinking SkillOutcome
ConceptualAnalyseAnalyse current challenges in health data science
ProceduralUnderstandExplain how data science is used to address healthcare problems

Formative Assessment

There are no assessments for this course.

Resit Assessments

Report: Individual

Assessment Type Summative Weighting 100
Assessment Weeks 25 Feedback Weeks 28

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Feedback

A report that discusses one of the current challenges in health data science, and describes the application of the health data science workflow to address an example healthcare problem

Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
ConceptualAnalyseAnalyse current challenges in health data science
ProceduralCreateCommunicate information from health data in written form
ProceduralApplyApply the data science workflow using R to healthcare problems
ProceduralUnderstandExplain how data science is used to address healthcare problems
ConceptualEvaluateDiscuss the limitations and assumptions made in health data science projects

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