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Descriptive statistics, probability theory, binomial distribution,
poisson distribution, normal distribution, sampling distribution,
estimations and hypothesis testing, one way analysis of variance,
categorical data analysis using chi-square distribution, correlation and
simple linear regression analysis, multiple linear regression analysis,
nonparametric statistics, computer software application.
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Introduction to research methodology, rationale for research,
formulation of research objectives and hypothesis, research strategy,
sampling and population, measurement, data collection and analysis,
report preparation.
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Scientific reasoning, health indicators, health program priority
setting, measures of risk, causation, confounding and interaction, bias,
sampling techniques, measurement and data collection, research and
development in health, burden of disease.
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Introduction to study design, descriptive study, cross-sectional
study, case control study, cohort study, clinical trial, community
experimental, validity and reliability, systematic review of RCT,
screening, diagnostic test, research ethics.
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Reading and criticism of an original article in an international
journal interpretation of results, critique, implications in public
health and clinical practice
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Identification of priority and topic of fieldwork by discussion with
the local public health workforces, design and preparation of the
proposal, data collection and analysis, presentation to decision makers
and relevant parties.
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Analysis of 2×2 tables, analysis of confounding and interaction,
binary logistic regression, Poisson regression, multinomial and
proportional odds logistic regression, survival analysis, sample size
and strategies for modeling epidemiological data, big medical data, data mining.
Computing, Data and Database Management
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Informatics, Data system, structure and function of computer, file
management, hard disk management, computer virus, security, word
processing, bibliographic management, database, spread sheet, graphic
presentation, computer network, Internet, electronic mail, academic
database, data quality control, relational database and development of
information system for health services.
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Concepts of qualitative research, conceptual framework, interview
techniques, focus group discussion, observation techniques and field
work, report writing and presentation
Read the Course Learning Outcomes (CLOs)
The thesis demonstrates the capability of the student in conducting a
well-planned research of international standard. A Master thesis is the
beginning of professionalization for an epidemiological research
career. The proposal will be prepared and refined in parallel with the
progress of the coursework through group discussion before submission
for approval by the Committee for Graduate Study of the University by
the end of the first year. Data collection will be undertaken for a
period of 6 months in the student’s regular place of work. Final
analysis and preparation of the Thesis will occupy the final 6 months in
PSU to ensure quality of work and success. A student intending to
pursue the PH.D. programme, must pass the Proposal Examination and the
Qualifying Examination before he/she can be endorsed as a full PH.E.
student and proceed with the research work under an academic supervisor
approved by the Graduate Committee. When the Substance of research work
is considered adequate, two final examinations will be se up: a
Comprehensive Examination and the Thesis Examination. These examinations
will be organized by the Graduate Committee, who will designate
appropriate experts in the research topic, including one or more experts
from outside the University, to act as the esxaminers. A Ph.D. theses
must demonstrate originality of idea with substantial depth and
illustrate high knowledgeability of the candidate.