The courses below were offered in summer 2024. They are listed here to indicate what is typically available during Summer Term. Please check back on December 15, when the full summer 2025 course schedule will be available.

 

Actuarial Science

Metropolitan College

  • Pension Mathematics and Mortality Tables

    MET AT 782

    Undergraduate Prerequisites: (MET MA581 or CAS MA581) and MET AT721 - Covers the mathematics of actuarial funding methods as used by pension actuaries. General pension concepts are introduced, and the calculation of benefits under pension plans is discussed. Reviews the development of mortality tables and the use of life contingencies in developing pension models. Computations under actuarial funding methods are addressed, including the use of these methods in pension plans worldwide. The use of mortality tables is addressed, as are modifications to those tables to reflect expected changes to mortality in the future. Alternative ways to receive pension payments at retirement are discussed. 4 cr.

    Top

  • Internship in Actuarial Science II

    MET AT 982

    Graduate Prerequisites: MET AT722 and AT731 and cumulative GPA of 3.3 or higher and consent of instructor - Grad Prereq: (MET AT 722 and MET AT 731) and cumulative GPA of 3.3 or higher and consent of instructor. 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 industry. Students need to submit monthly progress reports and a final semester report to the Director of the Department of Actuarial Science at Boston University. Variable cr.

    Top

  • SAS with Statistical Applications

    MET MA 603

    Undergraduate Prerequisites: MET or CAS 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, fi le manipulations, macros, 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