Applied Clinical Data Analytics

The taught postgraduate course in Applied Clinical Data Analytics employs a unique and innovative spiral curriculum, designed specifically for training healthcare professionals in analysis of healthcare data.



The course is designed to teach students without a background in data analytics, statistics, or computer programming, to analyse and interpret healthcare data.



Applicants from non-healthcare related degrees will be considered on a case-by-case basis at the discretion of the coordinators (minimum requirement of 2nd Class Honours). Applicants with significant relevant experience will also be considered.

Year 1 (90 Credits)

RequiredMD1592: Clinical Data Analytics I - 10 Credits - Semester 1

RequiredMD1596: Clinical Data Analysis Thesis Part I - 10 Credits - Semester 2

RequiredMD1590: Health Research Methodology I - 10 Credits - Semester 1

RequiredMD1591: Applied Medical Statistics I - 10 Credits - Semester 1

RequiredMD1597: Clinical Data Analysis Thesis Part II - 20 Credits - Semester 2

RequiredMD1595: Clinical Data Analytics II - 10 Credits - Semester 2

RequiredMD1594: Applied Medical Statistics II - 10 Credits - Semester 2

RequiredMD1593: Health Research Methodology II - 10 Credits - Semester 2

1 year, full-time (12 months); 2 years, part-time (24 months).

Next start date: September 2025

Career Opportunities

There are various career paths in healthcare, research, and technology sectors. These roles often require a combination of skills in data analysis, and proficiency in relevant tools and technologies such as statistical software, database management systems, and programming languages like R that is taught on the Applied Clinical Data Analytics Masters.



Here are some roles aligned to the Masters:



Clinical Data Analyst: They analyse healthcare data to improve patient care, streamline operations, and support decision-making processes within clinical settings.



Healthcare Data Scientist: Leveraging advanced statistical and computational techniques, they analyse complex healthcare data to derive insights, predict trends, and develop data- driven solutions for healthcare challenges.



Clinical Informatics Specialist: They focus on integrating healthcare data with information technology systems to improve the efficiency and quality of healthcare delivery.



Clinical Research Coordinator: Responsible for managing and analysing data collected during clinical trials, ensuring compliance with regulatory requirements and ethical standards.



The MSc in ACDA also aims to enhance the current work of healthcare professionals to become proficient clinical data analyst. Many graduates return to their previous clinical jobs (doctor, nurse, pharmacist) with additional data analytic skills to augment their clinical roles especially with research, audit and quality improvement.