The Master of Science in Actuarial Sciences aims to prepare graduate students to apply
mathematics, statistics, finance and economics to model future risks (life, casualty,
health, catastrophe etc.). They learn how to use their models to evaluate the frequency
and severity of occurrence and how to devise methods to mitigate the risks through
insurance, hedging or diversification. Students will acquire:
- 1.A theoretical and practical application of Actuarial Mathematics to life insurance
products such as single life, multiple life, single decrement, multi decrement or
any combination of them. Students will become proficient in pricing, reserving
and profit testing any life insurance product. The learning outcomes pertaining
to life insurance align with those of the LTAM exam of the Society of Actuaries.
- 2.A theoretical and practical coverage of Loss Models applicable to casualty and health
insurance products. Students will learn how to use parametric distributions
to model frequency and severity of occurrence and how to devise aggregate
loss models incorporating actuarial provisions such as deductibles, ceilings
and coinsurance. Students will practice with the modelling control cycle from
assumption setting, to parameter estimation and calibration, to model testing and
finally model selection. Students will also learn how to incorporate credibility into
their analysis using Classical Credibility, Bayesian, Buhlmann, and Buhlmann-
Straub methods. The learning outcomes pertaining to casualty insurance align with
those of the STAM exam of the SOA.
- 3.A theoretical and practical coverage of Ratemaking and Reserving for casualty
insurance. Students will be able to calculate rates using rate manuals, aggregate
exposures, premiums and losses from experience years in order to determine
indicated rate changes applicable on a specified future period using Loss ratio
and Loss cost methods. Students will learn how to segregate the data into
homogeneous groups and adjust the rate differential for each group, estimate IBNR
and IBNER and decide on needed reserves. The learning outcomes of Ratemaking
and Reserving align with those of Exam 5 of the Casualty Actuarial Society.
- 4.A theoretical and practical coverage of financial derivatives: Students will tackle
the mathematical fundamentals of option valuation from risk neutral valuation in
continuous time, to random walk and Brownian motion to stochastic differential
equations and Ito’s lemma and modelling stock prices using geometric Brownian
motion. They will derive the Black-Scholes - Merton formula and learn how to apply
it formula to other assets. The learning outcomes of the Financial Derivatives align
with those of the second half of IFM exam of the SOA.
- 5.The ability to write and effectively communicate actuarial and mathematical
concepts to technical and non-technical audience as will be demonstrated by the
thesis and the projects.
- 6.The ability to apply the theoretical concepts acquired through course work on
industry provided hands-on projects in the context of ACS 680 (Internship and
Project) using computer programs such as excel, SPSS, Python or R.