Course

Epidemiology and Statistics for Public Health - PHCM9498

Faculty: Faculty of Medicine

School: School of Public Health and Community Medicine

Course Outline: See Course Outline

Campus: Sydney

Career: Postgraduate

Units of Credit: 6

EFTSL: 0.12500 (more info)

Indicative Contact Hours per Week: 4

Enrolment Requirements:

Currently enrolled in one of the following School of Public Health and Community Medicine degrees - 5507 or 5567 or 7367 or 7368 or 9043 or 9044 or 9045 or 9046 or 9047 or 9048 or 5362 or 7362.

Excluded: PHCM9781

CSS Contribution Charge: 2 (more info)

Tuition Fee: See Tuition Fee Schedule

Further Information: See Class Timetable

View course information for previous years.

Description

This core course introduces students to the quantitative methods that are the cornerstone of public health research and evidence-based public health policy and practice. Statistical and epidemiological concepts are taught in parallel to promote integration of knowledge across both disciplines. Students will be introduced to epidemiological principles through case studies, which will be examined for study design, associated weaknesses and strengths and statistical techniques. The statistics component develops skills and understanding of basic statistical analysis methods, with hands-on experience analysing epidemiological data using SPSS software. The course is available to internal and external students and assistance will be available through tutorial activities and online help. If possible, students who are concerned about numeracy or computing skills should consider enrolling in the course as an internal student.

Further Information

  • A Foundations Workshop for both internal and external students will be held in residential week, which includes an introductory tutorial on SPSS software.
  • In addition, an optional drop-in SPSS clinic will be held each week for students who require additional assistance.
  • Please see timetables for mode of delivery and attendance requirements.
  • Public Health and Health Management Timetables
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