Alfaisal University’s PhD in Public Health prepares scholar leaders who can:
The program is designed to strengthen Saudi Arabia’s public health workforce and advance evidence based decision making across healthcare systems.
Public health is evolving rapidly, from AI-driven disease surveillance to value-based healthcare systems.
This program is ideal if you want to:
Students must publish peer-reviewed research and defend an original dissertation contributing to public health knowledge.
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Chair of the Department, Director of the MPH Program, Associate Professor of Public Health; — Health policy and leadership.
Professor of Epidemiology and Biostatistics — Cancer research, pharmacoepidemiology, research methodology and statistical analysis of epidemiological data.
Adjunct Assistant Professor — Health systems, health insurance and healthcare administration; former Deputy Minister of Health for Planning and Transformation.
Senior Lecturer in Epidemiology and Biostatistics — Epidemiology, medical statistics and research ethics .
Senior Lecturer — Epidemiology, health services and population health research, public health intelligence, and environmental and occupational health.
The PhD in Public Health is a full time four year doctoral program designed to prepare leaders in research, academia, and health systems.
Program Structure:
Students complete 63 credit hours including 36 dissertation credits.
| First Year: Fall Semester | First Year: Spring Semester | ||
|---|---|---|---|
| Course No. | Course Name | Course No. | Course Name |
| DPH 701 | Adv Research Methodology & Biostatistics | DPH 703 | Qualitative Research Methods |
| DPH 702 | National & Intl Public Health Perspectives | DPH 704 | Health Economics & Financing |
| DPH 707 | Adv Biostatistics I | DPH 708 | Adv Biostatistics II |
| DPH 7XX | Specialized Elective | DPH 7XX | Specialized Elective |
| Total Cr. | 12 | Total Cr. | 12 |
| Second Year: Fall Semester | Second Year: Spring Semester | ||
|---|---|---|---|
| Course No. | Course Name | Course No. | Course Name |
| DPH 7XX | Specialized Elective | DPH 718B | Dissertation B |
| DPH 717 | Research Seminar | ||
| DPH 718A | Dissertation A | ||
| Total Cr. | 9 | Total Cr. | 6 |
| Third Year: Fall Semester | Third Year: Spring Semester | ||
|---|---|---|---|
| Course No. | Course Name | Course No. | Course Name |
| DPH 718C | Dissertation C | DPH 718D | Dissertation D |
| Total Cr. | 6 | Total Cr. | 6 |
| Fourth Year: Fall Semester | Fourth Year: Spring Semester | ||
|---|---|---|---|
| Course No. | Course Name | Course No. | Course Name |
| DPH 718E | Dissertation E | DPH 718F | Dissertation F |
| Total Cr. | 6 | Total Cr. | 6 |
This track emphasizes quantitative methods, statistical modeling, and epidemiologic research to understand disease patterns, evaluate health risks, and guide evidence based public health interventions.
You will develop advanced skills in:
Yes. Students study infectious disease modeling, trend analysis, and simulation techniques used to predict outbreaks and guide emergency response strategies.
The curriculum includes probability theory, generalized linear models, survival analysis, longitudinal modeling, Bayesian methods, and high dimensional data analysis.
Yes. Students explore machine learning, big data analytics, and digital health tools to analyze population health trends and support predictive healthcare systems.
Students learn to analyze disease trends, identify risk factors, and translate findings into prevention strategies, surveillance systems, and policy recommendations.
Yes. Graduates are prepared for roles in epidemiological surveillance, health data analytics, and population health monitoring across government agencies and healthcare systems.
Research areas may include:
Yes. Physicians and healthcare professionals can transition into population health research and data driven healthcare decision-making.
Graduates can work as:
By strengthening expertise in epidemiological surveillance, predictive analytics, and population health data science, graduates support Vision 2030 goals for preventive care and data-driven healthcare systems.
Program Length: 4 Years (Full-time)
Total Cost: 400,000 SAR
Credit Hour Fee: Included in total tuition
Application Fee: 600 SAR
Initial Tuition Installment: 5,000 SAR seat reservation
Epidemiologists & data scientists
Physicians transitioning to population health research
Ministry of Health & Public Health Authority professionals
Academic researchers & future faculty
Healthcare analytics professionals
Total Program Cost: 400,000 SAR
Cost per Credit Hour: Included
Non-Refundable Seat Reservation: 5,000 SAR
Scholarships: Potential tuition scholarships covering 50%–100% of program tuition, subject to eligibility and approval.
Academic transcripts, statement of purpose, recommendations, and English proficiency.
Complete the application and upload required documents.
Qualified candidates attend an interview before final acceptance.
A specialized collaborative initiative with KAUST that trains clinician-scientists in advanced medical research and innovation.
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