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PU5058: INTRODUCTION TO HEALTH DATA SCIENCE (2022-2023)

Last modified: 21 Oct 2022 10:31


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).


Contact Teaching Time

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

Teaching Breakdown

More Information about Week Numbers


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 18 Feedback Weeks 21

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Feedback

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

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

Poster Presentation

Assessment Type Summative Weighting 30
Assessment Weeks 19 Feedback Weeks 21

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Feedback

A poster that discusses one of the current challenges in health data science.

Learning Outcomes
Knowledge LevelThinking SkillOutcome
ConceptualAnalyseAnalyse current challenges in health data science
ConceptualUnderstandDiscuss the role of health data scientists in research and healthcare
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
ConceptualEvaluateDiscuss the limitations and assumptions made in health data science projects
ProceduralUnderstandExplain how data science is used to address healthcare problems
ProceduralApplyApply the data science workflow using R to healthcare problems
ConceptualAnalyseAnalyse current challenges in health data science
ConceptualUnderstandDiscuss the role of health data scientists in research and healthcare

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