Actuarial Science

Note: the courses on this page reflect Summer Term 2008 offerings.
Please check back on December 15 for a list of courses available during Summer Term 2009.

Metropolitan College

MET AT 752 Group Insurance Applications of Actuarial Principles
Covers the application of basic actuarial principles to group life and group health financial security systems. Material covered will include 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 will also review the Canadian health system. 4 cr.

Top

MET AT 782 Pension Mathematics and Mortality Tables
Prereq: MET MA 581 and AT 721. This course 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. We will also review the use of mortality tables, and discuss the various actuarial functions that are used in pension actuarial calculations. Finally, the course will review implications for pension funding under the IRS. 4 cr.

Top

MET AT 982 Internship in Actuarial Science II
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. per credit

Top

MET MA 603 SAS with Statistical Applications
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.

Top