Overall SDG Alignment Evaluation:
The Bachelor of Science in Mathematics program is fundamentally aligned with the Sustainable Development Goals by providing the universal language and analytical tools necessary to understand, model, and solve complex global challenges. The curriculum's philosophy, emphasizing logical reasoning, abstract thinking, and the application of mathematical principles to real-world problems, makes it a powerful enabler for nearly all aspects of sustainable development. The program is a cornerstone of SDG 4 (Quality Education), providing high-level education in a core STEM discipline. It is a direct driver for SDG 9 (Industry, Innovation, and Infrastructure), as mathematics is the foundation of all engineering, technology, and data-driven innovation. Furthermore, through specialized tracks in statistics, actuarial science, and computer science, the curriculum contributes significantly to SDG 8 (Decent Work and Economic Growth) by producing highly skilled graduates for the data science, finance, and technology sectors. The program's focus on optimization and modeling also supports the efficient use of resources, aligning with SDG 12 (Responsible Consumption and Production).
SDG 4: Quality EducationAlignment Summary: This program is the essence of quality education in a fundamental science. It is designed to foster advanced analytical reasoning, logical thinking, and problem-solving skills, equipping students with the competencies for lifelong learning and for driving innovation in a knowledge-based society.
| Course Code | Course Title | Alignment Rationale |
|---|---|---|
| SC404891 | Seminar | Enhances education for sustainable development by requiring students to research and present on advanced mathematical topics, fostering the skills for critical thinking and lifelong learning (Target 4.7). |
| SC404892 | Special Project | Provides quality education by enabling students to conduct independent research, applying mathematical principles to solve complex problems and create new knowledge (Target 4.7). |
| SC000213 | Co-operative Education in Science | Increases the number of youths and adults who have relevant skills for employment by providing extensive, hands-on work experience in a professional setting (Target 4.4). |
SDG 8: Decent Work and Economic GrowthAlignment Summary: The program is a direct driver of economic growth by producing graduates with highly sought-after analytical and quantitative skills. The curriculum's focus on statistics, actuarial science, and computer science prepares students for high-value careers in data science, finance, insurance, and technology, which are all key sectors for a productive and innovative economy.
| Course Code | Course Title | Alignment Rationale |
|---|---|---|
| SC403314 | Statistics for Actuarial Science I | Contributes to economic growth by providing the foundational skills for the insurance and financial industries, which are essential for managing economic risk and stability (Target 8.2). |
| SC403241 | Mathematical Modeling | Supports higher levels of economic productivity through technological upgrading and innovation by teaching how to translate real-world problems into mathematical models for analysis and optimization (Target 8.2). |
| SC403442 | Operations Research | Promotes economic productivity by teaching mathematical methods for optimizing complex systems in business and industry, such as logistics, scheduling, and resource allocation. |
SDG 9: Industry, Innovation and InfrastructureAlignment Summary: Mathematics is the bedrock of industry, innovation, and infrastructure. This program provides the fundamental theoretical and computational tools necessary for all fields of engineering, computer science, and technology. It fosters innovation by training students to model, analyze, and solve the complex problems that drive technological progress.
| Course Code | Course Title | Alignment Rationale |
|---|---|---|
| SC403323 | Numerical Analysis | Supports scientific research and innovation by teaching computational methods to solve mathematical problems that are intractable by analytic methods, essential for engineering and scientific simulations (Target 9.5). |
| SC403231 | Differential Equations | Is fundamental to innovation in science and engineering, as it provides the language to describe and model dynamic systems, from electrical circuits to fluid dynamics (Target 9.5). |
| SC403462 | Introduction to Data Science | Enhances scientific research and upgrades technological capabilities by teaching the principles of extracting knowledge and insights from data, a key driver of modern innovation (Target 9.5). |
SDG 12: Responsible Consumption and ProductionAlignment Summary: The program contributes to responsible production by teaching the mathematical tools for optimization. Operations Research provides methods to minimize waste, optimize resource allocation, and improve efficiency in production and supply chains, leading to more sustainable patterns of production.
| Course Code | Course Title | Alignment Rationale |
|---|---|---|
| SC403442 | Operations Research | Directly promotes the sustainable management and efficient use of natural resources by teaching mathematical optimization techniques that can be used to minimize waste and energy consumption in industrial processes (Target 12.2). |
SDG 17: Partnerships for the GoalsAlignment Summary: The program fosters partnerships through its cooperative education and research projects, which create a vital bridge between the university and industries that rely on high-level quantitative skills. This collaboration is essential for applying mathematical and statistical knowledge to solve real-world problems and achieve the SDGs.
| Course Code | Course Title | Alignment Rationale |
|---|---|---|
| SC000213 | Co-operative Education in Science | Directly encourages and promotes effective public-private and civil society partnerships by immersing students in real-world professional environments, building collaborative experience (Target 17.17). |
| SC404892 | Special Project | Enhances the global partnership for sustainable development by contributing new, publicly accessible scientific knowledge, often in collaboration with industry or other research institutions (Target 17.6). |