Predictive Analytics and Risk Management: Enterprise Risk Management, MS
for the Master of Science in Predictive Analytics and Risk Management, Enterprise Risk Management concentration
Prepares students for the nascent profession of predictive analytics; it provides background and skill sets for data analytics with focus on financial and insurance industries. A student successfully finishing the program will typically have acquired a broad foundation of machine learning and predictive modeling techniques to forecast outcomes and glean valuable insights that can lead to better-informed business and investment decisions.
The assessment of the above-stated learning objectives will include:
- the job placement/graduate school acceptance rates
- feedback from employers
- graduate satisfaction surveys
These assessments will be conducted on an annual basis. We conduct exit surveys on all students each year, which should provide data on graduate students’ job placement and graduate school acceptance rates. On the survey we will design questions to assess student’s overall evaluation of these learning objectives. The curriculum was developed in close collaboration with industry partners. We expect to maintain close relationship with them and seek their feedback on the quality of our graduates on a regular basis.
Graduate Degree Programs in Mathematics
for the Master of Science in Predictive Analytics and Risk Management, Enterprise Risk Management concentration
| Code | Title | Hours |
|---|---|---|
| Core Requirements (12 hours): | ||
| FIN 530 | Foundations in Risk Management | 2 |
| ASRM 410 | Investments and Financial Markets | 4 |
| ASRM 539 | Risk Analytics and Decision Making | 2 |
| ASRM 555 | Advanced Predictive Analytics | 4 |
| Concentration Required Courses (see below) | 12 | |
| Electives (see below) | 8 | |
| Total Hours | 32 | |
Other Requirements
| Code | Title | Hours |
|---|---|---|
| Other requirements may overlap | ||
| A concentration is required. | ||
| Minimum 500-level Hours Required Overall: | 12 | |
| Minimum GPA: | 2.75 | |
Enterprise Risk Management Concentration
| Code | Title | Hours |
|---|---|---|
| Required Courses: | 12 | |
| Investment Banking | ||
| Financial Risk Management | ||
| Risk Management Practices and Regulation | ||
| Electives: | 8 | |
| Choose two of the following: | ||
| Stochastic Processes for Finance and Insurance | ||
| Topics in Actuarial Science | ||
| Financial Mathematics | ||
| Risk Analytics and Decision Making (if not taken as a core requirement) | ||
| Loss Data Analytics & Credibility | ||
| Extreme Value Theory and Catastrophe Modeling | ||
| Life Insurance and Pension Mathematics | ||
| Advanced Topics in Actuarial Science and Risk Analytics | ||
| Property-Liability Insurance | ||
| Investments | ||
| Financial Derivatives | ||
| Applications of Financial Engineering | ||
| Valuation of Complex Derivative Securities | ||
| Fixed Income Portfolios | ||
| Behavioral Finance | ||
| International Finance | ||
| Special Topics in Finance (Big Data Analytics) | ||
| Individual Study and Research | ||
| Risk Modeling and Analysis | ||
| Statistical Learning | ||
| Individual Study and Research | ||
for the Master of Science in Predictive Analytics and Risk Management, Enterprise Risk Management concentration
Department Chair: Feng Liang
Unit website
Program website
Program Office: 264 Computing Application Bldg., MC-382, 605 E Springfield Ave, Champaign, IL 61820
Phone: (217) 300-5630
Email: PARM@illinois.edu
College of Liberal Arts & Sciences
College of Liberal Arts & Sciences website
Admissions
Graduate College Admissions & Requirements
Overview of Program Admissions & Requirements