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Actuarial Sciences
MODELING AND PRICING RISK
The management of uncertainty and risk is a crucial undertaking for many companies. Once limited to the insurance field, actuaries now help companies in all areas where modeling and risk management play an important role. Actuaries model claims risk for insurance companies, build models of loan defaults, price options in financial markets, predict the value of economic variables, estimate the risk and cost of adverse events and so much more. An actuarial science major trains to mathematically model uncertainty and risk. Surveys show that actuaries have one of the highest job-satisfaction ratings with challenging work, high financial compensation and strong job security.
RELATED MAJORS
AREAS OF STUDY
- Mathematical Finance
- Probability and Statistics
- Optimization
- Survival Analysis
- Micro and Macroeconomics
- Econometrics
- Financial Management
- Database Design
CAREER OPTIONS
- Actuary
- Enterprise Risk Manager
- Financial Analyst
- Economic Analyst
- Data Scientist
GRADUATE PROGRAMS
- Finance
- Financial Mathematics
- Data Science
- Statistics
- MBA
What’s special about this program?
We are one of a select group of universities offering a dedicated undergraduate degree in Actuarial Sciences. Due to the interdisciplinary nature of our curriculum, our graduates are prepared to take at least the first two actuarial exams before they graduate and have completed their Validation by Educational Experience requirements mandated by the Society of Actuaries. However, our students also have a strong mathematical background, which can also lead to positions in other fields. We have an actuary-oriented student club and a LinkedIn group where students and alumni can network regarding exams and careers. Our Career Services Center helps students in this program obtain summer actuarial internships and the alumni of our program recruit our students for summer internships.
Get involved
Undergraduate Research
Honors College
Actuarial Sciences Club
Math Club
Putnam Competition
Mathematical Contest in Modelling
Sample Curriculum
| FALL | SPRING |
|---|---|
| CISC 106 - General Computer Science for Engineers | ECON 103 - Introduction to Macroeconomics |
| ECON 101 - Introduction to Microeconomics | MATH 210 - Discrete Mathematics I |
| ENGL 110 - First-Year Writing | MATH 219 - Data Science I |
| MATH 241 - Analytic Geometry and Calculus A | MATH 242 - Analytic Geometry and Calculus B |
| Breadth Requirement (Group A/B) | Breadth Requirement (Group A/B) |
| First Year Seminar | |
| Credits: 17 | Credits: 16 |
| FALL | SPRING |
|---|---|
| MATH 243 - Analytic Geometry and Calculus C | ACCT 207 - Accounting I |
| ECON 301 - Intermediate Microeconomic Theory with Calculus | MATH 247 - Introduction to Actuarial Mathematics |
| MATH 349 - Elementary Linear Algebra | ECON 304 - Intermediate Macroeconomic Theory with Calculus |
| MATH 350 - Probability Theory and Simulation Methods or STAT 470 - Probability Theory in Statistics | MATH 450 - Mathematical Statistics or STAT 471 - Mathematical Statistics |
| Breadth Requirement (Group A/B) | Elective |
| Credits: 16 | Credits: 15 |
| FALL | SPRING |
|---|---|
| CISC 181 - Introduction to Computer Science II | MATH 302 - Ordinary Differential Equations |
| ECON 306 - Data Analysis for Economics and Business | FINC 312 - Intermediate Financial Management |
| FINC 311 - Principles of Finance | ECON 422 - Econometric Methods for Causal Analysis |
| Breadth Requirement (Group A/B) | MATH 426 - Computational Mathematics I |
| Multicultural Requirement | Elective |
| Credits: 15 | Credits: 15 |
| FALL | SPRING |
|---|---|
| MISY 330 - Database Management | MATH 419 - Data Science II |
| MATH 529 - Optimization Theory | STAT 621 - Survival Analysis |
| STAT 674 - Applied Database Management | Free Elective |
| Second Writing Requirement | Free Elective |
| Elective | Discovery Learning Experience |
| Credits: 15 | Credits: 15 |
