This course shall build upon the basic foundations of epidemiological principles and provide students with advanced knowledge and skills in epidemiology, enabling them to have internationally leading expertise that can be applied in public health epidemiology. Areas of this course shall cover include setting up epidemiological research using cohort study, matched case-controlled study and self-controlled case study (SCCS) designs, advanced issues on informing causality including reverse causality and estimating risks of residual confounding and issues in survival studies. The course is prepared to allow students to use this advanced expertise to evaluate epidemiology and design and conduct international quality epidemiology research important to current issues within public health.

CILO-1: Explain and use the principles of epidemiology to identify gaps within the current knowledge and generate new epidemiological research questions and hypothesis. CILO-2: Explain and use epidemiological study design, including contemporary study designs and usage of big data to provide solutions to previous limitations in epidemiology. CILO-3: Apply theories of psychometric to determine the approaches to measure outcomes in epidemiology research. CILO-4: Administer advanced statistics in epidemiology and correctly apply them to epidemiological research designs. CILO-5: Assess issues of bias and confounding in epidemiology, how to estimate their potential implications of findings and techniques on minimizing their impact. CILO-6: Prepare reports on epidemiological research conducted for scientific manuscript and communicating epidemiology to stakeholders.