Data Analysis in Health Care (SL_039)

This module “Data analysis in health care” is subdivided into three sub-modules
1. Mathematics applied in health management
2. Types and processing of data in health care
3. Statistics and statistical tools applied in health management

Sub-Module: “Mathematics applied to health management”
This module aims to ensure students’ understanding of basic theoretical foundations of statistical data analysis and advantages and limitations of quantitative methods.

Sub-Module: “Types and processing of data in health care”
This module aims to familiarize students with the classification of data used in health care, available data sources and pre-processing of the data for quantitative analysis.

Sub-Module: “Statistics and statistical tools applied to health management”
This module aims to provide knowledge and skills in the most widely used descriptive and inferential statistics, regression and correlation analysis.

The teaching and learning activities for all 3 Sub-Modules will include presentations, lectures, case-studies, discussions and practical work.