Students
Tuition Fee
Start Date
Medium of studying
Actuarial Science
Duration
Details
Program Details
Degree
Courses
Major
Actuarial Science | Financial Planning | Risk Management
Area of study
Actuarial Science | Financial Planning | Risk Management
Education type
Actuarial Science | Financial Planning | Risk Management
Course Language
English
About Program

Program Overview


Actuarial Studies and Quantitative Finance Certificate Program

The Actuarial Studies and Quantitative Finance Certificate Program is offered by the College of Arts and Sciences.


Admission

Admission to the program depends on which track you select. For both tracks, your admittance is dependent upon your performance in Calculus I, II, and III.


Quantitative Finance Track Admission

No specific admission requirements are provided for the Quantitative Finance Track.


Actuarial Studies Track Admission

To be admitted to the Actuarial Studies Track of the Certificate Program, you must have completed Calculus I, II, and III with a grade of B+ or better in each. You must also earn a C- or better in every required course in order to finish the certificate.


  • If you have been given credit for AP exams in calculus, you must have scored 4 or better on the BC test, or have gotten a 5 on the AB test.
    • If you have transfer credit in calculus, you must have gotten a B+ or better in each transferred course.
  • If you are currently taking your third semester of calculus, you can be admitted provisionally to the Actuarial Studies Track with a note from your instructor stating that you are currently doing B+ or better work.
    • Provisional admittance will make it easier to enroll for some courses, but you will be dropped from the Actuarial Studies track if you do not actually earn a B+ or better in the course.

Alternatively, a student may also be admitted by passing the first examination of the Society of Actuaries. If a student has a GPA of 3.0 or greater in Calculus I, II, and III, then they can earn admission by getting a grade of A- or better in linear algebra or mathematical probability.


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