Explore UCD

UCD Home >

OSH30150

Academic Year 2024/2025

Statistics in Health and Safety (OSH30150)

Subject:
Occupational Safety&Health
College:
Health & Agricultural Sciences
School:
Public Hlth, Phys & Sports Sci
Level:
3 (Degree)
Credits:
5
Module Coordinator:
Assoc Professor Conor Buggy
Trimester:
Autumn
Mode of Delivery:
Blended
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

This module addresses basic statistical and epidemiological principles used in OSH research and practice, which are fundamental to
a) understanding and interpreting basic statistics and epidemiology in national and international OSH reports and the research literature,
b) creating professional reports on OSH issues, and
c) recognising opportunities to use research as part of an evidence-base for OSH practice.

About this Module

Learning Outcomes:

At the end of this module students should be able to:

-Identify and discuss the strengths and limitations of OSH data collection systems

-Show an understanding of how summary measures can be used to collect and describe data

-Present results of simple data analyses in a professional format

-Explain or demonstrate the meaning and utility of statistical significance testing

-Demonstrate a good understanding of the main statistical and epidemiological tests found in OSH research reports

-Demonstrate how having knowledge of statistics can complement understand the value of research in OSH practice.

Indicative Module Content:

This module introduces students to basic statistical concepts, tests and techniques, used in the context of OSH.

United Nations Sustainable Development Goals (SDGs) https://sustainabledevelopment.un.org/sdgs
The learning outcomes for this module are consistent with achieving the objectives of SDG 3 (Good Health) and SDG 8 (Decent Work) from an occupational health and well-being perspective, and the objectives of SDG 4 (Quality Education) as this module contributes to fostering an inclusive and equitable education that promotes lifelong learning for all.

Student Effort Hours:
Student Effort Type Hours
Specified Learning Activities

24

Autonomous Student Learning

72

Lectures

24

Total

120


Approaches to Teaching and Learning:
Teaching and Learning approaches are face to face lectures including student engagement in the form of group-discussions, exercises and group-work.

All OSH modules utilise Harvard Referencing for all student assessment. Please access the Harvard Referencing Guidelines produced by the UCD Library on the UCD Library Website.

As per the UCD Plagiarism Policy, the Module Coordinator has determined that the use of Artificial Intelligence (AI) Software (e.g. Chat GPT) is not permitted for use in the completion of assessment in this OSH module. If a student does use such software and it is detected, it will be considered as plagiarism. Only if the Module Coordinator explicitly specifies on assessment instructions that AI is permitted is there an exception to AI being used.

The use of software to support writing development (e.g. Grammarly) is permitted and is not considered plagiarism. If students need writing support they should contact the UCD Writing Skills Centre.

Requirements, Exclusions and Recommendations
Learning Requirements:

Students must be aged over 23 years, be employed and have at least 3 years work experience.

Learning Recommendations:

Students should be engaged in OSH in their workplace.


Module Requisites and Incompatibles
Equivalents:
Statistics in OSH (SHWW30150)


 

Assessment Strategy  
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Assignment(Including Essay): OSH Statistics Report Week 6 Standard conversion grade scale 40% No

40

No
Assignment(Including Essay): OSH Statistics Review and Evaluation Week 14 Standard conversion grade scale 40% No

60

No

Carry forward of passed components
No
 

Resit In Terminal Exam
Spring No
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
• Self-assessment activities

How will my Feedback be Delivered?

Self-assessment activities with immediate feedback are built into class-time. Feedback individually to students on the mid-module assignment is provided via the VLE within 2 weeks of submitting. Feedback individually to students on the end-of-module assignment is provided via the VLE when draft results are published.

Name Role
Assoc Professor Conor Buggy Lecturer / Co-Lecturer
Dr Alison Connolly Lecturer / Co-Lecturer
Mr Martin Lawless Lecturer / Co-Lecturer
Dr Penpatra Sripaiboonkij Lecturer / Co-Lecturer