<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"
. For more information about Actuarial Examinations and to see sample
actuarial examinations go to: Sample SOA Exams.
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 Fall 2007 Semester
SOA/CAS-Exam-P/1 - Study Group: 2:40 p.m. - 3:30 p.m.
Tuesday in AMB-207.
This class helps prepare students for the SOA/CAS-Examinations P/1:
Probability. With the aid of Dr. Wilson and Mr. Rushall, students are asked to present solutions to problems. The sources of such problems include the ACTEX Manual for SOA
Exam P, as well as old SOA Exams and ACTEX Manuals and other sources. If you are interested in taking this class, please contact Dr. Wilson, or Mr. Rushall.
SOA/CAS-Exam-MFE - Study Group: 3:00 p.m. - 3:50
p.m. Friday in AMB-164.
This class helps prepare students for the SOA-Examination MFE:
Financial Economics. 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 MFE, as well as old SOA Exams and ACTEX Manuals. If you are interested in taking this class, please contact Dr. Ratliff
STA-270 Applied Statistics: 8 sections
This class covers graphical and quantitative description of data; binomial,
normal, and t-distributions; one- and two- sample hypothesis tests and confidence
intervals; simple linear regression and correlation. Textbook: Statistics: The
Exploration and Analysis of Data, 6th Ed. by Peck and Devore. Dr. Brent Burch is course coordinator.
STA-275 Statistical Analysis: 10:20 p.m. - 11:10 p.m. MWF
in AMB 164
Using calculus tools, this class covers graphical and quantitative description of data; binomial,
normal, and t-distributions; one- and two- sample hypothesis tests and confidence
intervals; simple linear regression and correlation. Textbook: Statistics for
the Sciences by Buntinas and Funk. The instructor is Dr. Roy St. Laurent.
MAT
-362
Numerical Analysis: 12:40 p.m. - 1:30 p.m. MWF in AMB 224
This class covers such topics as algorithms, computational errors, single
variable equations, curve fitting, interpolation, numerical differentiation
and integration, numerical solutions of differential equations; linear
systems of equations. Includes computer lab. Textbook: Numerical
Analysis,
8th Ed. by Burden and Faires. The instructor is
Dr. John Neuberger.
STA-471 Regression Analysis: 12:40 p.m. - 1:30 p.m. MWF in AMB 164
This class covers such topics as simple linear, multiple linear, curvilinear, and multiple curvilinear regression models and simple, multiple, and partial correlation, as well as variable selection techniques. Textbook: Applied
Linear Statistical Models,
5th Ed. by Kutner and Nachtheim. The instructor is
Dr. Phil Turk.
STA-472 Nonparametric Statistics: 12:45 p.m. - 2:00 p.m.
TTh in AMB 207
This class surveys nonparametric procedures, including binomial,
Mann-Whitney, Wilcoxon, Kruskal-Wallis, Friedman, Kolmogorov-Smirnov, and
chi-square tests, with comparisons to parametric techniques. Textbook:
Practical Nonparametric Statistics, 3rd Ed. by Conover. The instructor is
Dr. Richard Turek.
STA-473C Introduction to Mathematical Statistics I: 9:35 a.m.-10:50 a.m.
TTh in AMB-147.
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 & Shaeffer. The instructor is
Dr. Brent Burch.
MAT-567 Risk Theory: 11:30 a.m.-12:20 p.m. M-W-F in AMB-164.
Risk Theory applied to insurance, especially with respect to compound
Poisson and negative binomial processes. Also the topics of hedging and
arbitrage strategies are covered. Textbooks:
1) Actex Study Manual for
Examination MFE of the Society of Actuaries, Fall 2007 Edition,
by A. Weishaus. 2) Loss
Models: From Data to Decisions, 2nd Ed.
by Klugman, Panjer, and Willmot, 2004. The instructor is Dr. Michael Ratliff.
STA-570 Statistical Methods I: 9:35 a.m.-10:50 a.m. and
11:10 a.m. - 12:25 p.m. TTh in AMB-164
The primary topics for this course are sampling, t-tests, linear regression and correlation, elementary analysis, survival models, and logistic regression. Textbook: Statistical Methods and Data Analysis 5th Ed. by Ott and Longnecker. The instructor is Dr.
Jin Wang
STA-673 Mathematical Statistics - I: 11:10 a.m. - 12:25 p.m. TTh in AMB-148.
A rigorous mathematical treatment of the theory of statistics; probability
models, random variables and vectors, families of distributions. Textbook:
Statistical Inference, 2nd Ed. by Casella and Berger. The instructor is
Dr. Richard Turek
Send questions or comments to
Actuarial Program Director
Professor Michael I. Ratliff
Last updated August, 2007 by Michael I. Ratliff
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