Overall SDG Alignment Evaluation:
The Master of Science Program in Applied Mathematics is intrinsically designed to foster sustainable development by equipping graduates with advanced analytical and problem-solving skills. The program's philosophy emphasizes the integration of mathematical theory with practical applications across diverse fields, directly contributing to innovation and the creation of new knowledge. This focus on high-level research, interdisciplinary problem-solving, and the development of computational tools positions the curriculum as a strong contributor to several Sustainable Development Goals. The program's core strengths lie in fostering SDG 4 (Quality Education) by producing highly skilled researchers and professionals, and SDG 9 (Industry, Innovation, and Infrastructure) by developing mathematical models and computational methods that drive technological advancement. Furthermore, through specialized courses applying mathematics to health, engineering, finance, and environmental sciences, the curriculum directly supports SDG 3 (Good Health and Well-being), SDG 8 (Decent Work and Economic Growth), and goals related to environmental sustainability like SDG 11, 13, 14, and 15. The emphasis on research and seminars inherently promotes SDG 17 (Partnerships for the Goals), fostering a collaborative approach to solving complex global challenges.
Alignment Summary: The curriculum contributes to health and well-being by applying advanced mathematical and statistical techniques to the health sciences. Courses provide the foundational and specialized skills needed for epidemiological modeling, analysis of health data, and research into medical phenomena, thereby supporting the advancement of public health and medicine.
Course Code | Course Title | Alignment Rationale |
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SC417 204 | Probability Theory | This course provides foundational knowledge in probability theory, which is essential for advanced statistical modeling in public health, epidemiology, and well-being studies, aligning with the research-focused metrics of SDG 3. |
**SC467 401 | Selected Topics in Applied Mathematics in Health Science | Directly contributes to SDG 3 by applying mathematical modeling to solve problems in health science and medicine, fostering research and innovation for good health and well-being (Target 3.D). |
Alignment Summary: As a master's level program focused on research and advanced knowledge, this curriculum is a prime example of quality education. It is dedicated to producing experts with highly specialized technical skills, fostering a culture of research, and promoting lifelong learning. The seminar and thesis components, in particular, ensure that students are not just consumers but also creators of knowledge, preparing them for high-level careers in academia and industry.
Course Code | Course Title | Alignment Rationale |
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**SC467 891 | Seminar in Applied Mathematics I | Promotes lifelong learning opportunities (Target 4.3) by requiring students to engage with, analyze, and present cutting-edge research in their field. |
**SC467 892 | Seminar in Applied Mathematics II | Enhances lifelong learning opportunities (Target 4.3) and develops critical technical skills (Target 4.4) through sustained engagement with and presentation of advanced research topics. |
**SC467 893 | Research Seminar | Directly supports quality education by preparing students to present and defend their original research, a crucial skill for careers in research and academia (Target 4.4). |
**SC467 899 | Thesis | Represents a capstone lifelong learning opportunity (Target 4.3), where students conduct original research, develop advanced skills, and create new knowledge. |
Alignment Summary: The program provides students with the advanced computational and modeling skills necessary to tackle challenges in the energy sector. By learning to solve complex equations and optimize systems, graduates can contribute to research and development that improves energy efficiency and advances clean energy technologies.
Course Code | Course Title | Alignment Rationale |
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**SC467 403 | Selected Topics in Applied Mathematics in Physical Sciences | Supports research in clean energy by providing mathematical tools to model physical systems, such as electromagnetic phenomena, which are relevant to energy generation and efficiency (Target 7.A). |
**SC467 601 | Numerical Analysis and Applications | The course provides computational methods for solving complex equations essential for modeling and optimizing energy systems, thereby supporting research into affordable and clean energy (Target 7.A). |
**SC467 608 | Optimization Methods | The course provides methods to optimize complex systems, which can be applied to improve the efficiency of energy production and distribution networks, contributing to affordable and clean energy (Target 7.3). |
Alignment Summary: This curriculum supports sustainable economic growth by developing a high-skilled workforce capable of driving innovation in key economic sectors like finance and industry. Courses in financial mathematics, actuarial science, and optimization provide the analytical tools needed to build resilient financial systems, manage risk, and improve economic productivity.
Course Code | Course Title | Alignment Rationale |
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SC417 204 | Probability Theory | The principles of probability taught in this course are fundamental to economic modeling, risk assessment, and financial mathematics, supporting the development of robust economic models aligned with SDG 8. |
**SC467 608 | Optimization Methods | Teaches techniques for optimizing resource allocation, production planning, and logistics, which helps enhance economic productivity and promotes decent work (Target 8.2). |
**SC467 802 | Casualty Actuarial Mathematics | Provides the mathematical foundations for financial modeling and risk management, contributing to stable economic growth and the development of resilient financial systems (Target 8.10). |
**SC467 803 | Financial Mathematics | This course provides the mathematical foundations for financial modeling and risk management, contributing to stable economic growth and the development of resilient financial systems (Target 8.10). |
**SC467 804 | Selected Topics in Applied Mathematics in Business and Economics | This course provides the mathematical foundations for financial modeling and economic analysis, contributing to stable economic growth and the development of resilient financial systems (Target 8.10). |
Alignment Summary: This program is a cornerstone for fostering innovation and strengthening industrial capacity. It provides the advanced mathematical and computational tools—such as differential equations, numerical analysis, AI, and the finite element method—that are essential for modern engineering, research, and development. Graduates are equipped to solve complex industrial problems, design resilient infrastructure, and drive technological progress.
Course Code | Course Title | Alignment Rationale |
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**SC467 201 | Functional Analysis and Applications | This course equips students with advanced mathematical tools used in solving complex engineering and physics problems, fostering innovation in infrastructure and industrial processes as per SDG 9.5. |
**SC467 301 | Differential Equations and Applications | The course teaches the theory and application of differential equations, which are fundamental for modeling and innovating in industrial processes and infrastructure development, aligning with SDG 9. |
**SC467 402 | Selected Topics in Applied Mathematics in Engineering | Directly fosters innovation by applying advanced mathematical concepts to solve complex engineering challenges, which is crucial for building resilient infrastructure and promoting sustainable industrialization (Target 9.5). |
**SC467 601 | Numerical Analysis and Applications | This course provides the numerical methods required for advanced simulations and modeling in engineering and industry, driving innovation and technological upgrades (Target 9.5). |
*SC467 602 | Advanced Numerical Methods and Applications | This course teaches cutting-edge computational techniques like machine learning and data science, which are key drivers of innovation and technological advancement in modern industry (Target 9.5). |
**SC467 603 | Numerical Methods for Partial Differential Equations | Provides essential computational tools for solving partial differential equations that model a wide range of industrial and engineering processes, fostering innovation and efficiency (Target 9.5). |
**SC467 604 | Finite Element Methods | Teaches a powerful computational technique widely used in engineering for designing resilient and efficient infrastructure, from buildings to machinery, thus directly supporting SDG 9. |
**SC467 701 | Computational Artificial Intelligence | This course covers key AI technologies that are driving innovation across industries, enhancing technological capabilities and promoting sustainable industrialization (Target 9.5). |
**SC467 899 | Thesis | The research conducted for the thesis often leads to innovation and new knowledge that can be applied in industry, enhancing scientific research and technological capabilities (Target 9.5). |
Alignment Summary: The curriculum provides analytical tools that are vital for urban planning and creating resilient communities. Through courses in differential equations, numerical analysis, and geophysical modeling, students learn to model and simulate complex urban systems, from traffic flow to geological hazards, thereby contributing to the development of safer and more sustainable cities.
Course Code | Course Title | Alignment Rationale |
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**SC467 301 | Differential Equations and Applications | Principles from this course are used to model urban systems, such as traffic flow and resource distribution, contributing to the development of more sustainable cities and communities (Target 11.A). |
**SC467 405 | Geophysical Modeling | This course on modeling geophysical phenomena contributes to creating safer and more resilient human settlements by improving the understanding of geological hazards (Target 11.5). |
**SC467 601 | Numerical Analysis and Applications | Numerical analysis is critical for simulating urban dynamics, environmental impacts, and infrastructure projects, supporting the planning of sustainable cities (Target 11.A). |
*SC467 602 | Advanced Numerical Methods and Applications | The skills taught in data science and machine learning can be applied to create smarter, more efficient urban systems, contributing to the development of sustainable cities and communities (Target 11.A). |
Alignment Summary: The program supports responsible production patterns by teaching optimization methods. These techniques are crucial for designing industrial processes that minimize waste, use resources more efficiently, and reduce environmental impact, aligning directly with the goal of achieving sustainable management and efficient use of natural resources.
Course Code | Course Title | Alignment Rationale |
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**SC467 608 | Optimization Methods | Directly aligns with SDG 12 by teaching methods to optimize production processes, minimize resource use, and reduce waste, fostering responsible consumption and production patterns (Target 12.5). |
Alignment Summary: The curriculum provides the essential mathematical and computational framework for climate science. Courses on differential equations, numerical methods, and geophysical modeling are fundamental for creating and running the complex models used to understand climate systems, predict impacts, and develop mitigation strategies.
Course Code | Course Title | Alignment Rationale |
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**SC467 301 | Differential Equations and Applications | This course provides the mathematical foundation for modeling climate systems and predicting the impact of climate change, directly supporting research and education under SDG 13. |
**SC467 403 | Selected Topics in Applied Mathematics in Physical Sciences | This course applies mathematics to physical science problems, which is fundamental for climate modeling and understanding the physical processes of climate change, aligning with SDG 13. |
**SC467 405 | Geophysical Modeling | Geophysical modeling is essential for understanding Earth's systems and their response to climate change, contributing to climate action through improved prediction and risk assessment. |
**SC467 603 | Numerical Methods for Partial Differential Equations | This course is crucial for climate science, as it provides the numerical methods needed to solve the complex partial differential equations that form the basis of climate models (Target 13.3). |
Alignment Summary: The program contributes to the conservation and sustainable use of aquatic resources through the application of mathematical modeling. By teaching students how to model biological and ecological systems, the curriculum provides critical tools for managing fisheries, understanding aquatic biodiversity, and protecting marine and freshwater ecosystems from threats.
Course Code | Course Title | Alignment Rationale |
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**SC467 404 | Selected Topics in Applied Mathematics in Biological Science | Contributes to the conservation of ecosystems by teaching mathematical modeling techniques for biological and ecological systems, supporting the sustainable management of life below water (Target 14.2). |
*SC467 406 | Mathematical Models in the Life Sciences | Directly supports the conservation of ecosystems by applying mathematical models to understand dynamics in ecology, which contributes to the protection of life below water (Target 14.2). |
Alignment Summary: The curriculum supports the protection and restoration of terrestrial ecosystems through mathematical modeling. Courses focused on mathematical biology and ecology equip students with the skills to analyze population dynamics, model ecosystem health, and contribute to research that informs conservation strategies and sustainable land management.
Course Code | Course Title | Alignment Rationale |
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**SC467 404 | Selected Topics in Applied Mathematics in Biological Science | Contributes to the conservation of ecosystems by teaching mathematical modeling techniques for biological and ecological systems, supporting the sustainable management of life on land (Target 15.5). |
*SC467 406 | Mathematical Models in the Life Sciences | Directly supports the conservation of ecosystems by applying mathematical models to understand dynamics in ecology and biological sciences, contributing to the protection of life on land (Target 15.5). |
Alignment Summary: The program fosters partnerships through its emphasis on research and knowledge sharing. The required thesis and seminar courses compel students to engage with the global scientific community, presenting their work and building upon international research. This process is fundamental to creating the knowledge-based partnerships needed to address the interconnected challenges of all SDGs.
Course Code | Course Title | Alignment Rationale |
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**SC467 899 | Thesis | Thesis research requires engagement with the global scientific community, fostering knowledge-sharing and contributing to the global partnership for sustainable development (Target 17.6). |