Diploma in Actuarial Science

(30 credit hours)

Students with a general 90 credit hour BSc degree in Mathematics, Statistics, Economics, or another quantitative discipline, may apply for admission into a Diploma in Actuarial Science program, provided they have completed the appropriate Mathematics and Statistics courses. A strong background in Mathematics and Statistics is necessary, and courses taken should cover multidimensional calculus (equivalent to MATH 2001: Intermediate Calculus I), matrix theory (equivalent to MATH 2030: Matrix Theory and Linear Algebra I),  basic probability theory (equivalent to STAT 2060: Introduction to Probability and Statistics) and introductory R programming (equivalent to STAT 2450: Introduction to Data mining with R).

Departmental requirements

• STAT 2080.03: Statistical Methods for Data Analysis and Inference
• STAT 2600.03/MATH 2600.03: Theory of Interest
• STAT 3340.03: Regression and Analysis of Variance
• STAT 3360.03: Probability
• STAT 3460.03: Intermediate Statistical Theory
• ACSC 3703.03/STAT 3703.03: Actuarial Models I
• ACSC 3720.03/STAT 3720.03: Life Contingencies I
• Two of the following courses:
  
  - ACSC 3740.03/STAT 3740.03: Predictive Analytics
  - ACSC 4703.03/STAT 4703.03: Actuarial Models II
  - ACSC 4720.03/STAT 4720.03: Life Contingencies II
  
  
• One of the following courses:
  
  - STAT 3450.03: Statistical learning with R
  - STAT 4350.03: Applied Multivariate Analysis
  - STAT 4390.03: Times Series Analysis
  - STAT 4620.03: Date Analysis

 

In cases that students have already taken some of the above courses prior to entering the program, in consultation with the Actuarial Science undergraduate academic advisor, students can choose other same level ACSC, STAT or MATH courses as substitute courses to fulfil the total credit hour requirement.

After completion of the diploma program, students will be prepared to write most of the Society of Actuarial examinations.