The Actuarial Sciences Graduate Certiﬁcate is designed to serve students and professionals who are interested in pursuing careers as actuaries. The course content provides students with speciﬁc training related to the following exams administered by the Society of Actuaries (SOA):
• Financial Mathematics Exam
• Long-Term Actuarial Mathematics Exam
• Short-Term Actuarial Mathematics Exam
• Statistics for Risk Modeling Exam
• Investment and Financial Markets Exam
The courses also provide a solid foundation for the corresponding Casualty Actuary Society (CAS) exams. Passing the ﬁrst professional exam, i.e. the SOA Probability Exam, is equivalent to meeting the prerequisites for the certiﬁcate courses in the area of probability and statistics.
The Actuarial Sciences Graduate Certiﬁcate may only be pursued on a part-time basis.
University-wide admissions policies can be found in the Graduate Admissions Policies section of this catalog.
To apply for this program, please complete the George Mason University Admissions Application.
Interested applicants must submit three letters of recommendation. GRE scores are not required.
Students intending to pursue the Actuarial Sciences Graduate Certificate must have three semesters of calculus, a course in linear algebra (equivalent to MATH 203 Linear Algebra), a calculus-based course in probability (equivalent to MATH 351 Probability), and statistics (equivalent to MATH 352 Statistics). Passing the ﬁrst professional exam, i.e. the SOA Probability Exam, is also sufﬁcient preparation for the certiﬁcate program.
For policies governing all graduate programs, see AP.6 Graduate Policies.
Total credits: 18
This certificate may be pursued on a part-time basis only.
|MATH 551||Regression and Time Series||3|
|MATH 553||Advanced Mathematical Statistics in Actuarial Sciences||3|
|MATH 554||Financial Mathematics||3|
|MATH 555||Actuarial Modeling I||3|
|MATH 557||Financial Derivatives||3|
|MATH 653||Construction and Evaluation of Actuarial Models I||3|
Preparation for the SOA Exams
The graduate certificate coursework provides preparation for the SOA exams as follows:
MATH 554 Financial Mathematics: Financial Mathematics Exam
MATH 555 Actuarial Modeling I: Long-Term Actuarial Mathematics Exam
MATH 557 Financial Derivatives: Investment and Financial Markets Exam
MATH 653 Construction and Evaluation of Actuarial Models I: Short-Term Actuarial Mathematics Exam
The SOA exams overlap significantly with the Casualty Actuarial Society (“CAS”) exams.
Counting Actuarial Courses for Other Mathematics Degrees
A student enrolled in the Actuarial Sciences Graduate Certiﬁcate and another graduate degree program in mathematics can count actuarial mathematics courses toward the master's or doctoral degree according to the following rules:
- None of the core actuarial mathematics courses can count toward the Mathematics, PhD
- None of the actuarial mathematics courses MATH 551 Regression and Time Series, MATH 554 Financial Mathematics and MATH 655 Pension Valuation can count toward the Mathematics, MS
- The two actuarial mathematics courses MATH 555 Actuarial Modeling I and MATH 653 Construction and Evaluation of Actuarial Models I, can count toward the Mathematics, MS provided that all other courses counted toward that degree are MATH courses. An exception can be made if the student wishes to count only one of these two courses toward the Mathematics, MS. In this case, at most one other non-MATH course can be counted toward the degree with approval of the graduate coordinator. An additional exception is made if the student has completed the actuarial sciences certiﬁcate before being admitted to the MS degree program: in this case, any 4 of the 6 core courses can count toward the MS degree.
Counting Actuarial Courses toward the Statistical Science, MS Degree
A student enrolled in this certiﬁcate and in the Statistical Science, MS can count MATH 555 Actuarial Modeling I as an approved non-STAT elective course and can count MATH 653 Construction and Evaluation of Actuarial Models I as a STAT elective when designing a curriculum for this degree. The full curriculum should be designed in consultation with the student's Statistics Department advisor.