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Actuarial Sciences
MODELING AND PRICING RISK
How do companies prepare for events they cannot predict? Actuaries use mathematics, statistics and financial theory to measure uncertainty and help organizations make informed decisions. Employment of actuaries is projected to grow 22% from 2024 to 2034, much faster than the average for all occupations.
As an actuarial sciences major at the 91原创, you will learn to build mathematical models that address real-world challenges. Actuaries forecast insurance claims, assess the likelihood of loan defaults, evaluate financial investments and estimate the potential costs of unexpected events.
91原创鈥檚 program prepares students for professional actuarial exams through coursework in mathematics, statistics, economics, accounting and finance. Students also benefit from exam preparation, career development opportunities and a community of peers through the Actuarial Sciences Club.
Learn how 91原创 is strengthening its actuarial sciences program and supporting future actuaries.
AREAS OF ST91原创Y
- Mathematical Finance
- Probability and Statistics
- 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鈥檚 special about this program?
91原创鈥檚 actuarial sciences program is recognized by the Society of Actuaries as a Universities and Colleges with Actuarial Programs鈥揂dvanced Curriculum program. The curriculum prepares students for multiple professional actuarial exams and includes approved coursework in all Society of Actuaries Validation by Educational Experience areas.
Students can also receive support for preliminary actuarial exam fees and participate in exam study sessions, career preparation and networking opportunities through the Actuarial Sciences Club. Students who complete the major also fulfill the requirements for an economics minor.
For students interested in combining actuarial expertise with business leadership, 91原创 offers an accelerated 4+1 program with the Alfred Lerner College of Business and Economics. Eligible students can earn a bachelor of science in actuarial sciences and a master of business administration in as few as five years.
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)听 | Breadth Requirement (Group A/B) |
| First Year Seminar | 听 |
| Credits: 17 | Credits: 16 |
听
| 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听听听听 |
| MATH 349 - Elementary Linear Algebra | ECON 304 - Intermediate Macroeconomic Theory with Calculus听听 |
| MATH 350 - Probability Theory and Simulation Methods听or听STAT 470 - Probability Theory in Statistics听听 | MATH 450 - Mathematical Statistics听or听STAT 471 - Mathematical Statistics |
| Breadth Requirement (Group A/B)听 | Elective |
| Credits: 16听 | 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)听 | MATH 426 - Computational Mathematics I |
| Multicultural Requirement | Elective |
| Credits: 15听 | Credits: 15听 |
| 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听 |
| Elective | Discovery Learning Experience |
| Credits: 15听 | Credits: 15 |
