Comprehensive Course Structure
| Semester | Course Code | Course Title | Credit (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| I | MATH101 | Calculus and Linear Algebra | 3-1-0-4 | - |
| I | STAT101 | Probability and Statistics | 3-1-0-4 | MATH101 |
| I | ECON101 | Introduction to Economics | 3-1-0-4 | - |
| I | COMP101 | Programming Fundamentals | 2-0-2-4 | - |
| I | ENGL101 | English for Academic Purposes | 2-0-0-2 | - |
| I | PHYS101 | Physics for Engineers | 3-1-0-4 | - |
| I | LIT101 | Humanities and Social Sciences | 2-0-0-2 | - |
| II | MATH201 | Differential Equations | 3-1-0-4 | MATH101 |
| II | STAT201 | Statistical Inference | 3-1-0-4 | STAT101 |
| II | ECON201 | Microeconomics | 3-1-0-4 | ECON101 |
| II | COMP201 | Data Structures and Algorithms | 2-0-2-4 | COMP101 |
| II | PHYS201 | Thermodynamics | 3-1-0-4 | PHYS101 |
| II | LIT201 | Philosophy and Ethics | 2-0-0-2 | - |
| III | MATH301 | Mathematical Modeling | 3-1-0-4 | MATH201 |
| III | STAT301 | Time Series Analysis | 3-1-0-4 | STAT201 |
| III | ECON301 | Macroeconomics | 3-1-0-4 | ECON201 |
| III | COMP301 | Database Systems | 2-0-2-4 | COMP201 |
| III | RISK101 | Introduction to Risk Assessment | 3-1-0-4 | - |
| IV | MATH401 | Advanced Calculus | 3-1-0-4 | MATH301 |
| IV | STAT401 | Bayesian Statistics | 3-1-0-4 | STAT301 |
| IV | ECON401 | Development Economics | 3-1-0-4 | ECON301 |
| IV | COMP401 | Machine Learning Fundamentals | 2-0-2-4 | COMP301 |
| IV | RISK201 | Risk Measurement Techniques | 3-1-0-4 | RISK101 |
| V | RISK301 | Financial Risk Modeling | 3-1-0-4 | RISK201 |
| V | RISK401 | Cyber Risk Analysis | 3-1-0-4 | RISK201 |
| V | RISK501 | Environmental Risk Assessment | 3-1-0-4 | RISK201 |
| V | RISK601 | Data Analytics for Risk | 3-1-0-4 | RISK201 |
| V | LAB101 | Computational Lab | 0-0-2-2 | - |
| V | LAB201 | Risk Simulation Lab | 0-0-2-2 | - |
| VI | RISK701 | Policy Risk and Governance | 3-1-0-4 | RISK301 |
| VI | RISK801 | Operational Risk Management | 3-1-0-4 | RISK301 |
| VI | RISK901 | Healthcare Risk Analysis | 3-1-0-4 | RISK301 |
| VI | RISK1001 | Energy Sector Risk | 3-1-0-4 | RISK301 |
| VI | LAB301 | Advanced Analytics Lab | 0-0-2-2 | - |
| VII | THESIS101 | Capstone Project I | 4-0-0-4 | RISK901 |
| VIII | THESIS201 | Capstone Project II | 4-0-0-4 | THESIS101 |
Detailed Course Descriptions
The following advanced departmental electives are offered in the Risk Assessment program:
- Risk Modeling and Simulation: This course explores advanced modeling techniques for simulating risk scenarios using Monte Carlo methods, agent-based models, and stochastic processes. Students will gain hands-on experience with simulation software tools such as AnyLogic and MATLAB.
- Quantitative Risk Management: Focuses on the application of mathematical and statistical tools in risk analysis. Topics include value-at-risk (VaR), stress testing, and scenario analysis using real-world datasets from financial markets.
- Cybersecurity Risk Assessment: This course examines threats to digital infrastructure and develops strategies for identifying vulnerabilities, conducting penetration testing, and implementing robust cybersecurity frameworks.
- Environmental Impact Assessment: Covers methodologies for evaluating the potential environmental consequences of development projects. Students will learn how to conduct comprehensive impact assessments and develop mitigation plans.
- Data Visualization for Risk Analytics: Teaches students how to present complex risk data effectively using tools like Tableau, Power BI, and Python libraries such as Seaborn and Plotly.
- Behavioral Risk Analysis: Explores how cognitive biases affect decision-making in high-risk environments. Students will study human factors in risk perception and learn techniques for improving judgment under uncertainty.
- Risk Communication and Ethics: Focuses on ethical considerations in risk management and the communication of risk information to stakeholders. This includes public policy implications, transparency requirements, and stakeholder engagement strategies.
- Regulatory Compliance and Risk Governance: Examines legal frameworks governing risk practices across sectors. Students will study compliance procedures, governance models, and regulatory reporting mechanisms in financial institutions, healthcare systems, and public agencies.
- Disaster Risk Reduction and Management: Introduces strategies for assessing and mitigating risks associated with natural disasters such as floods, earthquakes, and hurricanes. Includes case studies from recent events and policy interventions.
- Healthcare Risk Analysis: Explores risk management in healthcare settings, including patient safety protocols, medical error analysis, and quality improvement initiatives.
- Energy Risk Management: Addresses risks in energy production, distribution, and consumption. Students will learn how to assess operational risks in power grids, renewable energy systems, and fossil fuel supply chains.
- Risk Analytics in Public Sector: Focuses on applying risk analytics to government operations, including fiscal risk, social program evaluation, and urban planning.
- Financial Derivatives and Risk Pricing: Covers the pricing of financial instruments and their role in managing portfolio risks. Includes derivatives valuation models and market risk hedging strategies.
- Supply Chain Risk Management: Examines vulnerabilities in global supply chains and develops frameworks for identifying, assessing, and mitigating supply chain risks.
- Risk Intelligence and Decision Support Systems: Integrates artificial intelligence and machine learning with risk analytics to build intelligent systems that support real-time decision-making in uncertain environments.
Project-Based Learning Philosophy
The department strongly believes in experiential learning through project-based activities. Projects are designed to mirror real-world challenges faced by organizations, ensuring students develop practical skills and industry relevance.
Mini-projects begin in the third year, with students working in teams under faculty guidance. These projects often involve collaboration with industry partners and address specific risk problems identified by clients or research groups.
The final-year capstone project is a significant component of the program. Students select topics aligned with their interests and career goals, working closely with faculty mentors throughout the process. The project culminates in a comprehensive report and presentation to an external panel of experts.
Projects are evaluated based on innovation, depth of analysis, methodology, impact, and communication skills. Each student is assigned a mentor from the faculty who provides guidance, resources, and feedback throughout the project lifecycle.