# SOA Exam PA Study Plan & Practice System SOA Exam PA study plan: project-based predictive analytics in R. GLMs, decision trees, model validation. ~150-hour prep breakdown. Canonical URL: https://exclam.ai/actuarial/exam-pa/ [Actuarial](https://exclam.ai/actuarial/index.md)›Exam PA SOA Exam PA · Predictive Analytics Updated August 2026 Exam PA is the project-based predictive analytics exam using R. Candidates receive a dataset and business problem, build a model, and write a report. Upload your ACTEX digital edition, TIA handouts, or your own R practice notes and exclam.ai turns them into a fully guided study plan covering the R techniques, modeling decisions, and reporting framework. Typical hours ~150 Typical weeks ~14 Topic areas 4 Pass rate ~50–60% [Build your study plan](https://exclam.ai/actuarial/exam-pa/index.md#plans) ## Exam format Project-based computer-based test. You receive a dataset and a business problem, build a predictive model in R, and submit a written report. Significantly different format from other SOA exams. Project-based rather than multiple-choice. You build a model and write a report. R proficiency is essential. Practice with the SOA-provided starter code and R packages. Reports are graded on both modeling decisions and communication clarity. Typically taken after SRM. Format details change periodically. Always verify the current exam structure on [soa.org](https://www.soa.org/) before your exam. ## Exam PA topic areas The 4 topic areas tested on Exam PA, with approximate weight bands from the public SOA syllabus. Click any topic for a dedicated study page. [Problem Framing and Data Preparation 15–25% Translating a business problem into a predictive modeling question, exploratory data analysis, and feature engineering. Study this topic](https://exclam.ai/actuarial/exam-pa/topics/problem-framing-and-data-preparation/index.md) [Generalized Linear Models 30–40% Building, evaluating, and interpreting GLMs in R for common actuarial applications. Study this topic](https://exclam.ai/actuarial/exam-pa/topics/generalized-linear-models/index.md) [Decision Trees and Ensemble Methods 20–30% Fitting and tuning decision trees, random forests, and gradient boosting models in R. Study this topic](https://exclam.ai/actuarial/exam-pa/topics/decision-trees-and-ensemble-methods/index.md) [Model Validation and Business Communication 15–25% Cross-validation, test set performance, sensitivity analysis, and communicating results to non-technical stakeholders. Study this topic](https://exclam.ai/actuarial/exam-pa/topics/model-validation-and-reporting/index.md) Topic names and approximate weight bands sourced from the public SOA Exam PA syllabus on soa.org. ## How exclam.ai helps with Exam PA ### Upload your study manual Drop in your ACTEX Exam PA digital edition (full-corpus PDF), scanned ASM pages, TIA handouts, or your own notes. exclam.ai parses them into structured content for a fully guided study plan. ### Generate flashcards & quizzes AI generates flashcards for formulas and concepts, plus multiple-choice quizzes targeting each of the 4 topic areas. Edit any card. ### Get a weekly adaptive plan Coverage phase, review phase, and mocks — distributed across your ~14-week timeline or whatever you choose. ## Exam PA study plan Pick the timeline that matches your exam date. exclam.ai spreads roughly 150 hours across coverage, review, and mock phases — each reading paired with its own quiz and FSRS flashcards. Switch the plan length to rebalance the schedule instantly. Plan length 6 weeks10 weeks14 weeks18 weeks24 weeks 14 weeks · ~11h/week ### Approximate milestones 14 weeks CoverageMonths 1–2 1. Problem Framing and Data Preparation~wk 2 2. Generalized Linear Models~wk 4 3. Decision Trees and Ensemble Methods~wk 6 4. Model Validation and Business Communication~wk 8 ReviewMonths 2–3 Mock examsMonth 3 Examend of Month 3 #### Your full plan · 14 weeks to exam day 14 weeks · ~11h/week CoverageReviewMocks· chips show the task mix for that week; buffer days are the planned rest ##### September 2026 1. Wk 1Sep 28 – Oct 4Problem Framing and Data PreparationCoverageReadQuizFlashcards15–25%5 study · 2 buffer ##### October 2026 1. Wk 2Oct 5 – Oct 11Problem Framing and Data PreparationCoverageReadQuizFlashcards15–25%5 study · 2 buffer 2. Wk 3Oct 12 – Oct 18Generalized Linear ModelsCoverageReadQuizFlashcards30–40%5 study · 2 buffer 3. Wk 4Oct 19 – Oct 25Generalized Linear ModelsCoverageReadQuizFlashcards30–40%5 study · 2 buffer 4. Wk 5Oct 26 – Nov 1Decision Trees and Ensemble MethodsCoverageReadQuizFlashcards20–30%5 study · 2 buffer ##### November 2026 1. Wk 6Nov 2 – Nov 8Decision Trees and Ensemble MethodsCoverageReadQuizFlashcards20–30%5 study · 2 buffer 2. Wk 7Nov 9 – Nov 15Model Validation and Business CommunicationCoverageReadQuizFlashcards15–25%5 study · 2 buffer 3. Wk 8Nov 16 – Nov 22Model Validation and Business CommunicationCoverageReadQuizFlashcards15–25%5 study · 2 buffer 4. Wk 9Nov 23 – Nov 29ReviewReviewQuizFlashcards5 study · 2 buffer 5. Wk 10Nov 30 – Dec 6ReviewReviewQuizFlashcards5 study · 2 buffer ##### December 2026 1. Wk 11Dec 7 – Dec 13ReviewReviewQuizFlashcards5 study · 2 buffer 2. Wk 12Dec 14 – Dec 20MocksMocksQuizFlashcards5 study · 2 buffer 3. Wk 13Dec 21 – Dec 27MocksMocksQuizFlashcards5 study · 2 buffer 4. Wk 14Dec 28 – Jan 3MocksMocksQuizFlashcards5 study · 2 buffer Exam daySun, Jan 3, 2027End of week 14 ### Your Exam PA plan A visual preview of how exclam.ai turns your plan into daily reading, flashcard, quiz, review, and mock streaks across the timeline you pick. Active days 24 Best day 6EP Total study time 11h 51m Avg / study day 30 min LessMore Study activityReview / at riskExam day Sample activity — your own streaks, study time, and module milestones appear here once you upload. Sign in to unlock your full 14 weeks plan Every module dated to your exam, with quizzes and FSRS flashcards generated from your own materials. [Unlock my full plan free](https://exclam.ai/pricing/index.md) ### Week-by-week module breakdown Your Exam PA plan walks the syllabus module-by-module before transitioning into review and mock phases. Module weeks are allocated proportional to SOA topic weights — heavier-weighted modules get more time, lighter ones either get a single week or pair with adjacent topics on intensive paces. Change the plan length above to see the schedule rebalance. Module 1 of 4 Weeks 1–2 Exam weight 15–25% [Problem Framing and Data Preparation](https://exclam.ai/actuarial/exam-pa/topics/problem-framing-and-data-preparation/index.md) Translating a business problem into a predictive modeling question, exploratory data analysis, and feature engineering. Build flashcards covering every learning objective and quiz yourself before moving to the next module. Module 2 of 4 Weeks 3–4 Exam weight 30–40% [Generalized Linear Models](https://exclam.ai/actuarial/exam-pa/topics/generalized-linear-models/index.md) Building, evaluating, and interpreting GLMs in R for common actuarial applications. Build flashcards covering every learning objective and quiz yourself before moving to the next module. Module 3 of 4 Weeks 5–6 Exam weight 20–30% [Decision Trees and Ensemble Methods](https://exclam.ai/actuarial/exam-pa/topics/decision-trees-and-ensemble-methods/index.md) Fitting and tuning decision trees, random forests, and gradient boosting models in R. Build flashcards covering every learning objective and quiz yourself before moving to the next module. Module 4 of 4 Weeks 7–8 Exam weight 15–25% [Model Validation and Business Communication](https://exclam.ai/actuarial/exam-pa/topics/model-validation-and-reporting/index.md) Cross-validation, test set performance, sensitivity analysis, and communicating results to non-technical stakeholders. Build flashcards covering every learning objective and quiz yourself before moving to the next module. Phase: Review Weeks 9–11 #### Review Weak-topic drilling. exclam.ai surfaces topics where you underperformed during coverage and re-quizzes them. Daily FSRS flashcard reps across all 4 topics to prevent decay. Start doing timed question batches focused on the heaviest-weight sections. Phase: Mocks Weeks 12–14 #### Mocks Full-length Exam PA practice exams under timed conditions. Target one mock every 3–5 days. Same-day error review: for every question you miss, re-derive the solution from scratch. Taper in the final 3 days — light flashcards only. ## Popular Exam PA study manuals exclam.ai works alongside any of these vendors. Upload paths vary, ACTEX sells full digital editions as downloadable PDFs (cleanest upload), ASM print manuals can be scanned for the full corpus, and The Infinite Actuary provides downloadable PDF handouts alongside their videos. For ASM digital (app-locked) and Coaching Actuaries (online platform), upload your own notes taken while studying. We do not distribute or reproduce any vendor content, your manual stays with the publisher. ACTEX Study Manual Digital edition · downloadable PDF Coaching Actuaries Online platform · upload your notes SOA past project examples Your own notes · any source ## Exam PA questions How much R do I need to know for Exam PA? Fluent. You need to be comfortable with data manipulation (dplyr or base R), GLM fitting (glm), decision trees (rpart, randomForest, gbm), and plotting (ggplot2). Practice with the SOA sample projects before the exam. How is Exam PA graded? Graders score both your model choices and your written report. Clear communication of assumptions, validation, and recommendations matters as much as model accuracy. A strong model with a weak report can fail. How long is the exam? Historically PA has been a multi-hour sitting where you produce the project from scratch. Check current SOA guidelines on soa.org before your sitting — format has changed over time.