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MDCS41990

Academic Year 2024/2025

Biostatistics&Data Mgt Online (MDCS41990)

Subject:
Medicine Clinical Science
College:
Health & Agricultural Sciences
School:
Medicine
Level:
4 (Masters)
Credits:
10
Module Coordinator:
Dr Marie Galligan
Trimester:
Spring
Mode of Delivery:
Online
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

This module introduces students to key concepts in data management and biostatistics for clinical research. Students will learn about statistical concepts including experimental design, parameters and statistics, sampling, variables, descriptive statistics, sampling variability and confidence intervals, hypothesis testing and statistical principles applicable to clinical trials. Students will also learn about data management activities in clinical research, including data collection, validation, security and protection. In addition to a theoretical framework, this module also gives students hands-on experience of designing data collection instruments and experience of analyzing data in SPSS.

About this Module

Learning Outcomes:

On completion of this module, students should be able to
Recognize the importance of data management and biostatistics in clinical research
Discuss the core considerations of data management in clinical research, including data collection, storage, security, protection, etc.;
Appraise a clinical research protocol for sources of bias and variability
Understand, interpret and critique a range of statistical methodologies commonly applied to data generated from clinical research
Conduct and interpret a basic statistical analysis of a clinical dataset
Formulate a data management plan for a clinical research project

Student Effort Hours:
Student Effort Type Hours
Autonomous Student Learning

120
Lectures

40
Tutorial

22
Computer Aided Lab

20
Total

202

Approaches to Teaching and Learning:
Online lectures
Practical statistics labs
Weekly quizzes
Discussion forum

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 

Assessment Strategy
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Participation in Learning Activities: Discussion forum contributions Week 3, Week 4, Week 8, Week 9, Week 10, Week 11 Standard conversion grade scale 40% No
10
 No
Assignment(Including Essay): Data management assignment Week 4, Week 5, Week 6, Week 7 Standard conversion grade scale 40% No
30
 No
Assignment(Including Essay): Data analysis assignment Week 10, Week 11, Week 12 Standard conversion grade scale 40% No
30
 No
Exam (Online): End-of-trimester exam (online) Week 14, Week 15 Standard conversion grade scale 40% No
30
 No

Carry forward of passed components
Yes
 

Resit In Terminal Exam
Summer Yes - 2 Hour
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
• Online automated feedback

How will my Feedback be Delivered?

Students will receive group-level feedback on discussion forum postings relating to the module. Students will receive immediate feedback on performance in online quizzes and will receive individual feedback on submitted assignments, post-assessment.

Name Role
Dr Marie Galligan Lecturer / Co-Lecturer
Dr Deborah Wallace Lecturer / Co-Lecturer
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