Actuarium

Exams

Study guides, original practice questions with worked solutions, and past-paper strategy for every CAS, SOA and CPCU exam — each linked to the Library so you study the concept, not just the syllabus.

43 exams & requirements361 practice questionsKaTeX-rendered solutions

Casualty Actuarial Society — ACAS and FCAS for property & casualty.

Preliminary

Exam 1 Probability (P)

Preliminary

Exam P/1 tests calculus-based probability: set theory, conditional probability and Bayes, discrete and continuous univariate distributions, transformations, moment generating functions, and joint/conditional/marginal distributions. It is shared with the SOA and is the usual first exam.

30 multiple-choice3 hours300 study hrs9 MC · 2 written

Exam 2 Financial Mathematics (FM)

Preliminary

Exam FM/2 covers interest theory: accumulation functions, nominal and effective rates, annuities, loan amortization and sinking funds, bond pricing and amortization, yield curves and spot/forward rates, duration, convexity, and immunization. Derivatives were removed from the FM syllabus in 2022; the emphasis is now firmly on cash-flow valuation.

30 multiple-choice2.5 hours250 study hrs9 MC · 2 written

MAS-I Modern Actuarial Statistics I

Preliminary

MAS-I covers Poisson processes and Markov chains, survival and reliability, parametric estimation and hypothesis testing, GLMs with an actuarial lens, and ARIMA time-series basics. It is the first exam with an explicit modeling mindset.

45 multiple-choice4 hours350 study hrs9 MC · 2 written

MAS-II Modern Actuarial Statistics II

Preliminary

MAS-II is the credibility and modern-modeling exam: classical and Bayesian credibility, conjugate priors and MCMC diagnostics, penalized regression, tree ensembles, and linear mixed models as a generalization of Bühlmann–Straub.

45 multiple-choice4 hours350 study hrs9 MC · 2 written

Associateship (ACAS)

Fellowship (FCAS)

Non-exam requirement

Study-plan builder

Choose your exam, dates and weekly time blocks. The builder weights weeks by syllabus topic, reserves the final 15% for review and mock exams, and tracks every session you complete.

Pick your study days; block lengths are scaled to hit your weekly target.

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Suggested timeline: 18 weeks at 8 h/week (≈120 recommended hours incl. 15% review)

TopicWeightHoursResourcesPractice
Unsupervised learning & feature engineering
  • Apply clustering and dimension-reduction techniques as a preprocessing step in a predictive analytics workflow.
  • Engineer features from raw, unstructured or high-cardinality data suitable for advanced models.
  • Detect anomalies/outliers using unsupervised techniques and assess their effect on downstream models.
  • Evaluate the tradeoff between automated feature engineering and interpretability.
30%31 3 MC · 1 written
Time-series & forecasting models
  • Fit advanced time-series models (state-space, ARIMAX, hierarchical/panel forecasting) to actuarial data with covariates.
  • Assess forecast accuracy and uncertainty using backtesting and prediction intervals.
  • Apply forecasting reconciliation techniques across hierarchical or grouped time series.
  • Identify structural breaks and regime changes and adjust models accordingly.
30%31 2 MC · 1 written
Model governance, fairness & communication
  • Apply model governance frameworks, including documentation, validation and ongoing monitoring standards.
  • Assess a predictive model for disparate impact and unfair discrimination against protected classes.
  • Recommend model risk mitigation strategies (bias testing, explainability tools, monitoring dashboards).
  • Communicate model risk, limitations and governance findings to technical and executive stakeholders.
40%41 1 MC · 2 written

12 weeks · 96 planned hours for SOA ATPA · recommended ≈120 hrs (24 short)

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