Master of Public Health (MPH) in Epidemiology and Biostatistics

The Department of Epidemiology and Biostatistics offers Master of Public Health (MPH) in Epidemiology and Biostatistics. The MPH in Epidemiology and Biostatistics is designed to train health care professionals to generate numerous research ideas and interpret epidemiologic and biostatistics information.
All students in the Master of Public Health in Epidemiology and Biostatistics program complete six core public health coursework in biostatistics, epidemiology, social and behavioral sciences, environmental health, healthcare management, and health information systems. Students should register in four courses in the First semester of their Master program and two courses in the second semester. The total credit hours equal to 18 credits.
Students with background in health-related fields such as Medicine, Dentistry, Nursing, Pharmacy, and Laboratory.
The Master of Public Health (Epidemiology) Program runs full-time for two calendar years.
Riyadh Campus
Semester Course Title Course Code Credit Hours
Semester 1 Introduction to Healthcare Management PPHI 511 3
Principles of Epidemiology PPHI 512 3
Principles of Biostatistics PPHI 513 3
Environmental Health PPHI 514 3
Semester 2 Social & Behavioral Sciences for Healthcare PPHI 521 3
Health Information Systems PPHI 522 3
statistical Models in Epidemiology EPBS 523 3
Advanced Observational Study Designs EPBS 524 3
Semester 3 Advanced Biostatistics EPBS 611 3
Nutritional & Genetic Epidemiology EPBS 612 3
Healthcare Epidemiology EPGE 613 3
Semester 4 Research Project 3
Advanced SExperimental Study Designs EPGE 614 3
Systematic Reviews and Meta-Analysis EPBS 621 3


Principles of Epidemiology
Introduction to epidemiology (history, the epidemiologic approach). Measures of disease frequency, prevalence, and incidence. The risk approach (risk factors, relative risk, odds ratio, attributable risk). Types of epidemiological studies (descriptive studies, case-control studies, cohort studies, longitudinal studies, intervention studies). Assessing the accuracy of a test or surveillance system (specificity, sensitivity and predictive value).

Principles of Biostatistics
Understand the concepts of statistical inference, the fundamentals probability theory and related analytical techniques. Apply hypothesis tests and construct confidence intervals in medical and public health context Understand the theoretical basis of linear and logistic regression and appreciate their strengths and assumption for their applications. Analyze and interpret data from epidemiological studies. Understand differences between qualitative and quantitative studies

Introduction to Research Methods
This module aims to induct students into the research community and provide an overview of the fundamentals of research methodology. Although we don’t expect that the participants would leave as senior researchers at the completion of workshops, we endeavour to provide them with a foundation so they may be able to conduct clinical and public health research studies with the support of their academic advisors and other senior professionals.

Statistical Models in Epidemiology
Understand epidemiologic inference and statistical modelling including linear, logistic, and Cox regression models. Account for the presence of confounding bias using both stratified approaches and multivariable regression. Use different approaches to modelling complex exposures including dose-response. relationships & time-varying exposures. Critically discuss model limitations with respect to: misspecification, outliers and residual bias.

Advanced Observational Study Designs
Differentiate between types of epidemiological studies. Elements of the design, conduct and analysis of cohort and case-control studies. Advantages and disadvantages of case-control studies relative to cohort designs. Precision and validity in epidemiological studies. Design of Randomized Controlled Trials (RCT). Sources of bias in RCT design and mechanisms to prevent them. Selection of cases and controls in case-control studies. Comparability of information in case-control studies.

Advanced Biostatistics
Formulate and apply multivariate statistical models for continuous, categorical, survival and count outcomes. Analyze data from longitudinal and other studies with multivariate outcomes. Appreciate the effect of correlation in longitudinal data. Analysis of controlled experiments and observational studies.

Nutritional Epidemiology /Genetic Epidemiology
Discuss the specific concepts and methodological issues that concern researchers in two specialty areas: nutritional epidemiology and genetic epidemiology. Epidemiologic studies of nutritional exposures. Measurement of diet in epidemiologic studies. Biochemical indicators of diet. Anthropometry and measures of body composition. Methodological issues in nutritional epidemiology. Introduction to genetics. Quantitative and qualitative traits, genetic risk models, migration and admixture.

Healthcare Epidemiology
Fundamentals of epidemiology of nosocomial infections, community infections, noncommunicable diseases, chronic diseases, injuries and disabilities. Introduction to field epidemiology for primary health care. All aspects of conducting epidemiologic field investigations. Healthcare management with particular focus on disease prevention and health inequality reduction. Healthcare and health promotion evaluation projects

Advanced Experimental Study Designs
Understand all aspects of designing, conduct and analysis of observational studies and randomized control trials (RCT). Observational studies and controlled experiments Designing observational studies. Hidden bias and sensitivity analysis. Propensity scoring and matching. Assessment of health-related quality of life.

systematic Reviews and Meta-Analysis
Understand the rationale and concepts of evidence-based medicine. Distinguish the levels of evidence and the study designs for each level of evidence. Apply methods of critical appraisal to assess the quality of methods and the findings of research studies. Understand the differences between systematic and narrative reviews. Conduct systematic reviews and assess evidence for health care policy. Conduct meta-analysis, with effect size estimation and interpretation of the results

Research Project
Students conducting a research project will identify a problem to be studied, review the literature associated with the problem, collect data about the problem (quantitative &/or qualitative), analyze the data in order to either support or refute a pre-selected hypothesis or answer research questions, discuss the findings, present conclusions, and make recommendations based on the study.