Overall SDG Alignment Evaluation:
The Master of Science Program in Applied Statistics is fundamentally designed to produce graduates with advanced expertise in managing and analyzing data to solve real-world problems. The curriculum's core mission is to create a new generation of statisticians who can lead in research and data-driven decision-making, making it a powerful contributor to SDG 9 (Industry, Innovation, and Infrastructure). By training experts in data management, advanced statistical modeling, and quality control, the program is a key driver for SDG 8 (Decent Work and Economic Growth) and SDG 12 (Responsible Consumption and Production). The program's focus on biostatistics aligns directly with SDG 3 (Good Health and Well-being). As a graduate-level program, it is a flagship for SDG 4 (Quality Education) and supports the evidence-based policymaking essential for SDG 16 (Peace, Justice, and Strong Institutions) and the collaborations needed for SDG 17 (Partnerships for the Goals).
SDG 3: Good Health and Well-beingAlignment Summary: This program contributes to good health and well-being by providing the core biostatistical skills needed for modern medical and public health research. Graduates are equipped to design clinical trials, analyze epidemiological data, and contribute to the evidence base for new treatments and health interventions.
| Course Code | Course Title | Alignment Rationale |
|---|---|---|
| SC 637 801 | Biostatistics | Directly supports research for health and well-being (Target 3.B) by providing the statistical foundation for biomedical and public health research. |
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 statisticians by providing advanced training in quantitative research methods and fostering the lifelong learning skills necessary to contribute to a knowledge-based society.
| Course Code | Course Title | Alignment Rationale |
|---|---|---|
| SC 637 711 | Fundamental Statistics | Provides the foundational knowledge that defines high-quality graduate education in statistics, equipping students for high-level employment (Target 4.4). |
| SC 637 712 | Statistical Research Methodology | Directly supports quality education by training students in the rigorous scientific methods needed to produce reliable and impactful research (Target 4.4). |
| SC 637 898 / 899 | Thesis / Independent Study | 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 8: Decent Work and Economic GrowthAlignment Summary: The curriculum contributes to decent work and sustainable economic growth by preparing graduates to lead in data-driven business and industry. Courses in forecasting and business statistics provide the tools to improve productivity, innovate, and create high-value analytical jobs.
| Course Code | Course Title | Alignment Rationale |
|---|---|---|
| SC 637 715 | Time Series Analysis and Forecasting | Contributes to achieving higher levels of economic productivity (Target 8.2) by teaching methods for forecasting economic and business trends. |
| SC 637 802 | Statistics for Business and Industry | Supports economic productivity through technological upgrading and innovation (Target 8.2) by equipping professionals with the statistical skills to improve business processes. |
SDG 9: Industry, Innovation and InfrastructureAlignment Summary: This program is a catalyst for innovation in all data-intensive industries. By providing advanced training in experimental design, data analysis, and big data, it enhances scientific research and upgrades the technological capabilities required for modern research and development and sustainable industrialization.
| Course Code | Course Title | Alignment Rationale |
|---|---|---|
| SC 637 713 | Regression Analysis | Drives innovation by providing a fundamental tool for modeling and prediction, which is essential for scientific research and industrial development (Target 9.5). |
| SC 637 714 | Experimental Design | Enhances scientific research (Target 9.5) by teaching the principles of designing rigorous experiments to test new ideas and technologies. |
| SC 637 716 | Multivariate Analysis | Supports industrial innovation by providing advanced techniques to analyze complex datasets and optimize industrial processes (Target 9.5). |
| SC 637 803 | Data Visualization and Exploratory Data Analysis | Fosters innovation by teaching methods to explore data and communicate insights effectively, which is critical for R&D (Target 9.5). |
| SC 637 805 | Big Data Analytics | Directly supports scientific research and innovation by providing skills in a cutting-edge field with applications across numerous industries (Target 9.5). |
SDG 12: Responsible Consumption and ProductionAlignment Summary: The program promotes responsible production patterns by training experts in industrial quality control. This knowledge is crucial for developing more efficient production processes, reducing waste, and ensuring that products meet high quality standards.
| Course Code | Course Title | Alignment Rationale |
|---|---|---|
| SC 637 804 | Quality Control in Industry | Contributes to the sustainable management and efficient use of resources (Target 12.2) by teaching statistical methods to improve production quality and reduce waste. |
SDG 16: Peace, Justice and Strong InstitutionsAlignment Summary: The program helps build strong and effective institutions by training experts in data analysis and research. These skills are essential for evidence-based policymaking, ensuring that public institutions can make effective, accountable, and transparent decisions based on reliable data.
| Course Code | Course Title | Alignment Rationale |
|---|---|---|
| SC 637 712 | Statistical Research Methodology | Directly supports the development of effective, accountable and transparent institutions (Target 16.6) by teaching the research methods needed for evidence-based policy making. |
SDG 17: Partnerships for the GoalsAlignment Summary: The program's research-intensive nature fosters partnerships for sustainable development. Through seminars and research, students engage with the national and international scientific community, promoting the knowledge-sharing and collaborations needed to achieve global goals.
| Course Code | Course Title | Alignment Rationale |
|---|---|---|
| SC 637 891 | Seminar in Applied Statistics 1 | Promotes the global partnership for sustainable development (Target 17.6) by requiring students to engage with and present on international research, fostering a culture of knowledge-sharing. |
| SC 637 898 / 899 | Thesis / Independent Study | Represents a significant contribution to global partnerships (Target 17.16) by creating new, publishable knowledge that is shared internationally to solve critical challenges. |