Predictive Analytics and Risk Management: Financial and Insurance Analytics, MS
for the Master of Science in Predictive Analytics and Risk Management, Financial and Insurance Analytics 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
Actuarial Science, MS
Applied Mathematics, MS
Mathematics, MS
Predictive Analytics and Risk Management, MS
Enterprise Risk Management | Financial and Insurance Analytics
Mathematics, PhD
optional concentrations:
Actuarial Science & Risk Analytics
Computational Science and Engineering
Teaching of Mathematics, MS
for the Master of Science in Predictive Analytics and Risk Management, Financial and Insurance Analytics concentration
Courses will be scheduled so that students may complete the 32-hour program in one academic year. Each concentration requires 12 hours of common core courses, organized around three broad areas of expertise, including a case study course. Each concentration also requires 12 hours of related area coursework specific to the concentration, plus an additional 8 hours of electives from a prescribed list included in this proposal. At least 12 hours must be taken at the 500 level.
| 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 | |
Financial and Insurance Analytics Concentration
| Code | Title | Hours |
|---|---|---|
| Required Courses: | 12 | |
| Applied Bayesian Analysis | ||
| Basics of Statistical Learning | ||
| Big Data Analytics | ||
| Electives: | 8 | |
| Choose two of the following: | ||
| Stochastic Processes for Finance and Insurance | ||
| Topics in Actuarial Science | ||
| Financial Mathematics | ||
| Risk Management Practices and Regulation | ||
| 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 | ||
| Investment Banking | ||
| Financial Risk Management | ||
| 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, Financial and Insurance Analytics concentration
department chair: Vera Hur
director of graduate studies: Yuliy Baryshnikov
overview of admissions & requirements:
overview of grad college admissions & requirements: https://grad.illinois.edu/admissions/apply
department website: http://www.math.illinois.edu
program website: https://math.illinois.edu/admissions/graduate-program-mathematics-admissions#MS-ActSci
department faculty: https://math.illinois.edu/research/faculty-research/actuarial-science
college website: https://las.illinois.edu/
department office: 273 Altgeld Hall, 1409 West Green Street, Urbana, IL 61801
phone: (217) 333-5749
email: math-grad@illinois.edu