You are considered an international freshman applicant if you have been educated outside of the U.S. at any time during secondary school (high school).
TOEFL: 80 on the IBT TOEFL with no subsection lower than 17.
IELTS Academic: 6.5 on the IELTS Academic.
Duolingo English Test (DET): 110 on the DET.
PTE Academic: minimum English academic score of 53.
Revised TOEFL Paper-delivered Test: 59 on the PdT overall with no subsection lower than 17.
Apply by November 15 for the Early Action Program or by February 1 for Regular Notification.
Actuaries analyze the financial consequences of risk and uncertainty. As an actuarial science major at DePaul, you will learn to interpret statistics to determine probabilities of accidents, sickness, death and the loss of property from theft and natural disasters.
Actuarial science students draw upon mathematics, statistics and financial theory to learn to do the following:
Apply the laws of probability and statistics to problems
Understand the theory of interest and its applications to the pricing of securities
Calculate the financial costs and benefits of insurance for various individuals
Design, implement and monitor life contingency models
Describe risk management frameworks and identify how specific risks can be quantified
Study uncertain future events, concerning risk management and insurance
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Course Requirements
INTRODUCTION TO ACCOUNTING I
INTRODUCTION TO ACCOUNTING II
LEGAL & ETHICAL ASPECTS IN THE BUSINESS ENVIRONMENT
PRINCIPLES OF MICROECONOMICS
PRINCIPLES OF MACROECONOMICS
CALCULUS I
CALCULUS II
CALCULUS III
MULTIVARIABLE CALCULUS I
LINEAR ALGEBRA
PROBABILITY AND STATISTICS I
PROBABILITY AND STATISTICS II (Covers topics relevant to the P Exam)
PROBABILITY AND STATISTICS III
THEORY OF INTEREST
MATHEMATICS FOR FINANCE
INTRODUCTION TO FINANCE
PRINCIPLES OF RISK & INSURANCE
SENIOR SEMINAR (Liberal Studies Program Capstone)
INTRODUCTION TO COMPUTER SCIENCE I
STATISTICAL METHODS USING SAS
LIFE CONTINGENCIES I
and LIFE CONTINGENCIES II
LOSS MODELS I
and LOSS MODELS II
BAYESIAN STATISTICS
STOCHASTIC PROCESSES
APPLIED REGRESSION ANALYSIS
APPLIED TIME SERIES AND FORECASTING
SIMULATION MODELS AND MONTE CARLO METHOD
GENERALIZED LINEAR MODELS
DATA ANALYSIS AND REGRESSION
ADVANCED DATA ANALYSIS
FOUNDATIONS OF DATA SCIENCE
Common Career Areas
Actuary
Assessor
Education
Cost estimator
Credit analyst
Insurance underwriter
