<center>Actuarial Program
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Actuarial and Financial Mathematics Program
The Department of Mathematics and Statistics at NAU has a program which is designed
to educate people in Actuarial Science. A subsidiary goal is
to help people pass the examinations given by the
Society of Actuaries
and/or the
Casualty Actuarial Society
and so become members of either Society, which are the
primary professional organizations of the Actuarial profession.
To learn more about becoming an Actuary or about the profession visit BEANACTUARY.ORG
Actuarial Science Degree Programs
B.S. in Mathematics with Emphasis in Actuarial Science
This is an extended major that consists of 59 semester hours of
coursework which includes 38 hours of mathematics, 12 hours of
statistics, 6 hours of business courses, and 3 hours of Computer Science.
No minor is required.
For more information about the actuarial profession and a recommended course of study go to: "Recommended Course of Study"
M.S. in Mathematics with Emphasis in Actuarial and Financial Mathematics
This degree can be obtained by pursuing one of two options:
The Comprehensive Examination Option requires 34 hours of coursework which includes 7 hours of core mathematics courses, 9 hours of actuarial science courses, and 6 hours of statistics courses, the remaining hours to be taken from a variety of mathematics and statistics courses chosen with the approval of the academic advisor. The degree also requires successful completion of a comprehensive oral examination. The Thesis Option requires 31 hours of coursework including 7 hours of core mathematics courses, 9 hours of actuarial science courses, and 6 hours of statistics courses, together with 6 hours of thesis work (and the successful completion and acceptance of the thesis by the student's faculty thesis committee). The remaining hours are to be taken from a variety of mathematics and statistics courses chosen with the approval of the academic advisor. For further details see: NAU Graduate Degree in Actuarial and Financial Mathematics Program Requirements
Actuarial Science Classes for Spring 2008 Semester
SOA/CAS-Exam-P - Study Group: 4:00 p.m. - 4:50 p.m. Fridays in AMB-164.
This class helps prepare students for the SOA/CAS-ExaminationsP: Mathematical Foundations of Actuarial Science. With the aid of Dr. Ratliff, students are asked to present solutions to previously assigned problems. The sources of such problems include the ACTEX Manual for SOA
Exam P, as well as old SOA Exams and ACTEX Manuals for Exams 100, 110. If you are interested in taking this class, please contact Dr. Ratliff .
MAT-362 Introduction to Numerical Analysis: 10:20 a.m.-11:10 a.m. MWF in AMB-164.
This class covers various techniques for solving problems in Numerical Analysis. Such topics as Error Analysis, Root Finding, Solutions of Linear Systems, Interpolation. Numerical Quadrature and Differentiation are also covered. Textbook: Introduction to Numerical Analysis,
8th Ed. by Burden and Faires. The instructor is Dr.
Shafiu Jibrin.
STA-474C Introduction to Mathematical Statistics I: 11:10 a.m.-12:25
p.m. T-Th in AMB-163.
This class has as its primary objective the development of the mathematical theory that forms the basis for statistical inference procedures, including estimation and hypothesis testing. Textbook:
Mathematical Statistics with Applications, 6th Ed. by Wackerly and Mendenhall. The instructor is
Dr. Brent Burch.
STA-477 Time Series Analysis: 9:35 a.m. - 10:50 a.m. T-Th in AMB-147
Methods for analyzing time series including: decomposition of time series,
seasonal adjustment methods, index numbers; forecasting including causal
models, trend models, smoothing models, autoregressive models, moving
average and integrated models. Textbook:
Analysis of Time Series, 6th Ed. by Chatfield.
The instructor is Dr. Phil Turk
MAT-480 Mathematics of Financial Models - I: 1:50 p.m.-2:40 p.m. MWF in AMB-164.
Principles of modeling actuarial and financial market events, using Weiner
and stochastic processes, binomial tree pricing, and Black-Scholes
analysis. Textbook: Derivative Markets 2nd Ed., by R.L.
McDonald, Pearson,Addison-Wesley Press, 2006. The instructor is Dr. Michael Ratliff.
STA-570 Statistical Methods I: 11:10 a.m.-12:20 pm. T-Th in
AMB-148
The primary topics for this course are sampling, t-tests, linear regression and correlation, elementary analysis, survival models, and logistic regression. Textbook:
Biostatistical Design, 4th Ed. by Zar. The instructor is
Dr. Phil Turk
STA-571 Statistical Methods II: 9:35 a.m. -10:50 a.m. & 11:10
a.m. -12:25 p.m. TTh in AMB-164
The primary topics for this class are topics in analysis of variance and
covariance, multiple and partial regression, and various non-parametric
methods of analysis.
Textbook: Statistical Methods and Data Analysis, 6th Ed. by Ott and Longnecker.
The instructor is
Dr. Jin Wang.
STA-674 Mathematical Statistics II: 11:10 a.m. -
12:25 p.m. T--Th in AMB-207.
Rigorous mathematical treatment of the
theory of statistics; estimation, test of hypotheses, selected topics from
linear models and analysis of variance. The instructor is
Dr. Richard Turek
STA-675 Theory of Linear Models: 12:45 p.m. - 2:00 p.m. in AMB-162
Vector spaces; random vectors and matrices; distribution theory; quadratic forms; general linear model;
least squares; maximum likelihood estimation; hypothesis testing; linear parametric functions; regression;
analysis of variance, residuals.Textbook: Theory and Applications of
Linear Models. by Graybill.
The instructor is
Dr. Brent Burch.
Send questions or comments to
Actuarial Program Director
Professor Michael I. Ratliff
Last updated January, 2008 by Michael I. Ratliff
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