Risk Management Minor
The risk management minor is a versatile, interdisciplinary program designed to blend the theoretical and applied aspects of risk management and insurance for upper-level undergraduate students. Students will develop a strong foundation in four competencies:
- the fundamentals of the risk management and insurance industry
- critical appraisal of data, quantitative analysis, and risk management strategies
- high-level computational and analytical skills
- effective communication.
Students can expect hands-on application through computational risk modeling, data analysis, case studies, and group projects involving risk assessment and management that are accompanied by written reports and oral presentations.
Requirements
In addition to the program requirements listed below, students must:
- take at least nine hours of their minor "core" requirements at UNC–Chapel Hill
- earn a minimum cumulative GPA of 2.000 in the minor core requirements. Some programs may require higher standards for minor or specific courses.
For more information, please consult the degree requirements section of the catalog.
| Code | Title | Hours |
|---|---|---|
| Core Requirements | ||
| DATA/ENEC/ENVR 540 | Introduction to Risk Management and Insurance 1 | 3 |
| Select one of the following paths: | 3 | |
| Natural Hazards and Financial Risk 1 | ||
| Insurance: Balancing Risk and Return and Risk Management 1 | ||
| DATA/ENEC/ENVR 543 | Risk, Data Science and AI 1 | 3 |
| Two additional elective courses chosen from the list below. 2 | 6 | |
| Total Hours | 15 | |
- 1
Course requires a requisite(s) not otherwise counting in the minor. Please review the requisite information carefully.
- 2
Other courses may be used to fulfill the elective requirement with approval from the Program Director.
Elective Courses
| Code | Title | Hours |
|---|---|---|
| COMP 435 | Computer Security Concepts 1 | 3 |
| COMP/BUSI 488 | Data Science in the Business World | 3 |
| COMP 560 | Artificial Intelligence 1 | 3 |
| COMP 562 | Introduction to Machine Learning 1, H | 3 |
| DATA 521 | Foundations in Artificial Intelligence 1 | 3 |
| ECON 423 | Financial Markets and Economic Fluctuations 1, H | 3 |
| ECON 425 | Financial Economics 1 | 3 |
| EMES 414/ENEC 514 | Flood Hydrology: Models and Data Analysis 1 | 3 |
| ENEC/ECON 470 | Environmental Risk Assessment | 3 |
| ENEC/ENVR 635 | Energy Modeling for Environment and Public Health | 3 |
| ENVR 468 | Temporal GIS and Space/Time Geostatistics for the Environment and Public Health 1 | 3 |
| ENVR 575 | Global Climate Change: Science, Impacts, Solutions | 3 |
| MATH 528 | Mathematical Methods for the Physical Sciences I 1 | 3 |
| MATH 560 | Optimization with Applications in Machine Learning 1 | 3 |
| PLAN 655 | Planning for Natural Hazards and Climate Risk | 3 |
| PLAN 656 |  Climate Change Impacts and Adaptation | 3 |
| STOR 471 | Long-Term Actuarial Models 1 | 3 |
| STOR 472 | Short Term Actuarial Models 1 | 3 |
| STOR 565 | Machine Learning 1 | 3 |
| STOR 566 | Introduction to Deep Learning 1 | 3 |
| H | Honors version available. An honors course fulfills the same requirements as the nonhonors version of that course. Enrollment and GPA restrictions may apply. |
- 1
Course requires a prerequisite(s) not otherwise counting in the minor. Please review prerequisite information carefully when planning your course selection.
Department Programs
Major
Minor
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