Overall SDG Alignment Evaluation:
The Master of Public Health Program in Biostatistics is fundamentally designed to produce graduates with advanced expertise in managing and analyzing health data to solve public health problems. The curriculum's core mission is to create a new generation of biostatisticians who can lead in research and health system development, making it a powerful contributor to SDG 3 (Good Health and Well-being). By training experts in data management and advanced statistical analysis, the curriculum is a key driver for SDG 9 (Industry, Innovation, and Infrastructure) within the health and information technology sectors. The program's focus on building research capacity and producing high-level professionals aligns directly with SDG 4 (Quality Education). By emphasizing the use of data for evidence-based policymaking, the curriculum also supports SDG 16 (Peace, Justice, and Strong Institutions) and promotes the collaborations essential for SDG 17 (Partnerships for the Goals).
SDG 3: Good Health and Well-beingAlignment Summary: This program is centrally focused on ensuring healthy lives by providing the core biostatistical skills needed for modern public health research and practice. The curriculum provides an in-depth education on the statistical methods used in epidemiology and clinical trials, directly contributing to the evidence base for combating diseases and strengthening health systems.
| Course Code | Course Title | Alignment Rationale |
|---|---|---|
| PH 516 711 | Advanced Biostatistics | Provides the advanced statistical methods essential for analyzing health data, which is fundamental to research on communicable and non-communicable diseases (Target 3.3, 3.4). |
| PH 516 712 | Statistical Methods in Epidemiology | Directly supports efforts to combat epidemics by teaching the statistical techniques used to study disease distribution and determinants (Target 3.D). |
| PH 516 713 | Statistical Methods in Clinical Trials | Directly supports research and development for health (Target 3.B) by focusing on the statistical principles of designing and analyzing clinical trials for new medicines and treatments. |
| PH 516 716 | Categorical Data Analysis | Enhances the capacity for health research by providing specialized methods for analyzing categorical health outcomes, which are common in public health studies. |
| PH 516 717 | Survival Data Analysis | Contributes to health research by teaching methods to analyze time-to-event data, which is crucial for studying chronic diseases and treatment effectiveness (Target 3.4). |
SDG 4: Quality EducationAlignment Summary: As a master's program, this curriculum represents a high level of quality education. It is designed to cultivate expert biostatisticians by providing advanced training in quantitative research methods, fostering lifelong learning skills, and contributing to the development of a highly skilled public health workforce.
| Course Code | Course Title | Alignment Rationale |
|---|---|---|
| PH 516 714 | Quantitative Research Methods in Public Health | Provides the core research skills that define high-quality graduate education, equipping students for high-level employment in research and data analysis (Target 4.3 and 4.4). |
| PH 516 897/898 | Thesis | Represents a capstone lifelong learning opportunity (Target 4.3), where students conduct original research, thereby acquiring superior technical and professional skills for employment and innovation (Target 4.4). |
SDG 9: Industry, Innovation and InfrastructureAlignment Summary: The program drives innovation in the health and information technology sectors by training experts in health data management and analysis. This enhances the scientific research and technological capabilities required for evidence-based health planning and the development of modern health information systems.
| Course Code | Course Title | Alignment Rationale |
|---|---|---|
| PH 516 715 | Health Data Management | Supports the development of resilient and sustainable information infrastructure (Target 9.1) by focusing on the effective management of health data. |
| PH 516 897/898 | Thesis | Fosters innovation by generating new knowledge and analytical methods that can be applied to improve health systems and technologies, thereby enhancing scientific research (Target 9.5). |
SDG 16: Peace, Justice and Strong InstitutionsAlignment Summary: The program is instrumental in building strong health institutions. By training experts in data analysis and research, the curriculum provides the tools to ensure that health policies and programs are evidence-based, effective, and accountable, which is essential for transparent and resilient public health systems.
| Course Code | Course Title | Alignment Rationale |
|---|---|---|
| PH 516 714 | Quantitative Research Methods in Public Health | Directly supports the development of effective, accountable and transparent institutions (Target 16.6) by teaching the research methods needed for evidence-based policy making in the public health sector. |
SDG 17: Partnerships for the GoalsAlignment Summary: The program's research-intensive nature fosters partnerships for sustainable development. Through seminars and the thesis process, students engage with the national and international scientific community, promoting the knowledge-sharing and collaborations needed to achieve global health goals.
| Course Code | Course Title | Alignment Rationale |
|---|---|---|
| PH 516 891 | Seminar in Biostatistics | Promotes the global partnership for sustainable development (Target 17.6) by requiring students to engage with and present on national and international research, fostering a culture of knowledge-sharing. |
| PH 516 897/898 | Thesis | Represents a significant contribution to global partnerships (Target 17.16) by creating new, publishable knowledge that is shared internationally to solve critical public health challenges. |