Courses
Actuarial Science
Check back on December 15th for Summer 2010 courses.
Metropolitan College
Group Insurance Applications of Actuarial Principles
MET AT 752
Covers the application of basic actuarial principles to group life and group health financial security systems. Material covered includes the purpose of these systems, financial security product design and development, underwriting and risk management, premium determination, and the funding and valuation of group life and group health financial security systems. Group systems in the United States are emphasized, but the course also reviews the Canadian health system. 4 cr.
Pension Mathematics and Mortality Tables
MET AT 782
Prereq: MET MA 581 and AT 721. Covers pension actuarial funding methods and the use of life contingencies. Included are analyses of the funding methods allowable under ERISA, their computation, and uses. Also reviews the use of mortality tables and discusses the various actuarial functions that are used in pension actuarial calculations. Finally, the course reviews implications for pension funding under the IRS. 4 cr.
Internship in Actuarial Science II
MET AT 982
Prereq: successful completion of MET AT 722 and AT 731, and an overall cumulative GPA of 3.3 or higher. Offered to students who seek practical applications of actuarial principles in insurance companies, financial institutions, pension consulting firms, and other related fields. Requires students to participate in an internship program within the industry. Students need to submit monthly progress reports and a final semester report to the Chairman, Department of Actuarial Science at Boston University. Variable cr.
SAS with Statistical Applications
MET MA 603
Prereq: CAS CS 111, MET CS 201 or equivalent, and MET MA 214. Offers a unified and in-depth coverage of the statistical computer package SAS, and its statistical applications. Topics include the language of SAS, data formatting, creating and storing SAS data sets, file manipulations, macro procedure, and graphics. Also included are procedures for statistical techniques selected from analysis of variance, regression, factor analysis, scoring, and categorical data analysis. Several large data sets are used as case studies emphasizing hands-on experience with SAS for Windows. Laboratory course. 4 cr.
