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Actuarial Science Courses

Actuarial science courses can help you learn risk assessment, statistical modeling, financial mathematics, and insurance principles. You can build skills in data analysis, predictive modeling, and evaluating financial risks across various scenarios. Many courses introduce tools like R, Excel, and specialized actuarial software, that support analyzing data and making informed decisions in insurance and finance.


Popular Actuarial Science Courses and Certifications


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    Columbia University

    Financial Engineering and Risk Management

    Skills you'll gain: Portfolio Management, Derivatives, Financial Market, Securities (Finance), Investment Management, Financial Systems, Asset Management, Credit Risk, Mortgage Loans, Mathematical Modeling, Applied Mathematics, Financial Trading, Financial Modeling, Risk Modeling, Financial Services, Securities Trading, Regression Analysis, Market Liquidity, Capital Markets, Actuarial Science

    4.6
    Rating, 4.6 out of 5 stars
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    404 reviews

    Intermediate · Specialization · 3 - 6 Months

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    Columbia University

    Introduction to Financial Engineering and Risk Management

    Skills you'll gain: Financial Market, Securities (Finance), Derivatives, Financial Systems, Actuarial Science, Mathematical Modeling, Applied Mathematics, Financial Trading, Capital Markets, Financial Services, Securities Trading, Futures Exchange, Equities, Finance, Financial Modeling, Market Liquidity, Risk Modeling, Probability, Risk Management, Portfolio Management

    4.7
    Rating, 4.7 out of 5 stars
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    307 reviews

    Intermediate · Course · 1 - 3 Months

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    U

    Università di Napoli Federico II

    Derivatives

    Skills you'll gain: Derivatives, Financial Market, Securities (Finance), Financial Trading, Finance, Actuarial Science, Investments, Futures Exchange, Equities, Risk Modeling, Financial Modeling, Numerical Analysis, Mathematical Modeling, Simulation and Simulation Software, Probability

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    Università di Napoli Federico II

    Financial Markets

    Skills you'll gain: Market Liquidity, Derivatives, Securities Trading, Financial Regulation, Financial Market, Securities (Finance), FinTech, Financial Systems, Banking, Financial Trading, Financial Services, Market Dynamics, Finance, Actuarial Science, Commercial Banking, Investments, Futures Exchange, Financial Statements, Risk Modeling, Equities

    4.3
    Rating, 4.3 out of 5 stars
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    8 reviews

    Intermediate · Specialization · 3 - 6 Months

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    Board Infinity

    BFSI Career Roadmap: Roles, Skills, and Industry Trends

    Skills you'll gain: Financial Services, Banking, Compensation Analysis, Financial Sales, Investment Banking, Financial Management, Commercial Banking, Private Equity, Retail Banking, Project Finance, Financial Modeling, FinTech, Financial Statement Analysis, Actuarial Science, Emerging Technologies, Trend Analysis, Corporate Finance, Digital Transformation, Credit Risk, Risk Management

    Beginner · Course · 1 - 3 Months

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    C

    Columbia University

    Computational Methods in Pricing and Model Calibration

    Skills you'll gain: Regression Analysis, Actuarial Science, Derivatives, Financial Market, Statistical Methods, Market Data, Financial Modeling, Securities (Finance), Risk Modeling, Financial Trading, Financial Systems, Mathematical Modeling, Numerical Analysis, Equities, Applied Mathematics, Financial Data, Correlation Analysis, Python Programming, Process Optimization, Probability Distribution

    4.4
    Rating, 4.4 out of 5 stars
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    43 reviews

    Intermediate · Course · 1 - 3 Months

What brings you to Coursera today?

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In summary, here are 6 of our most popular actuarial science courses

  • Financial Engineering and Risk Management: Columbia University
  • Introduction to Financial Engineering and Risk Management: Columbia University
  • Derivatives: Università di Napoli Federico II
  • Financial Markets: Università di Napoli Federico II
  • BFSI Career Roadmap: Roles, Skills, and Industry Trends: Board Infinity
  • Computational Methods in Pricing and Model Calibration: Columbia University

Skills you can learn in Probability And Statistics

R Programming (19)
Inference (16)
Linear Regression (12)
Statistical Analysis (12)
Statistical Inference (11)
Regression Analysis (10)
Biostatistics (9)
Bayesian (7)
Logistic Regression (7)
Probability Distribution (7)
Bayesian Statistics (6)
Medical Statistics (6)

Frequently Asked Questions about Actuarial Science

Begin by identifying your goal—whether you’re exploring the profession, preparing for actuarial exams (like SOA P or FM), or building skills in statistics, finance, or programming.

  • For a math-focused introduction, try An Intuitive Introduction to Probability by the University of Zurich.
  • Preparing for Exam P? Consider Probability and Statistics: To p or not to p? by University of London.
  • For foundational finance, explore Introduction to Corporate Finance by Wharton.‎

These beginner-friendly options provide a solid foundation in the core math, finance, and analytics skills used in actuarial work:

  • An Intuitive Introduction to Probability – Helps develop the probability intuition needed for actuarial exams.
  • Data Science Math Skills – Includes linear algebra, calculus, and statistics—all core to actuarial science.
  • Business and Financial Modeling – Useful for understanding common applications for investment analysis, company valuation, and forecasting.‎
  • A course covers a specific topic—like probability, financial math, or risk modeling, like Data Science Math Skills.
  • A Specialization offers a series of structured courses for broader preparation—such as math, statistics, and data modeling relevant to actuarial exams, such as Business and Financial Modeling Specialization.
  • A Professional Certificate in actuarial science is not currently available on Coursera, but related certificates—like Google Data Analytics or IBM Data Science—can help with analytical skills that complement actuarial work.‎

Actuarial Science courses on Coursera equip learners with key skills needed to excel in the field of actuarial science:

  • Probability and Statistics: Understand the fundamental concepts of probability and how to apply statistical methods to assess risk and uncertainty.
  • Financial Mathematics: Learn about time value of money concepts, including calculating present and future values, annuities, loans, and bonds.
  • Risk Management: Gain insights into the techniques used to manage and mitigate financial risks in insurance and finance.
  • Data Analysis: Develop proficiency in using data to predict and model potential outcomes, crucial for insurance, pensions, and finance.
  • Insurance Fundamentals: Explore the principles of various types of insurance, including life, health, property, and casualty.
  • Regulatory and Ethical Issues: Understand the regulatory landscape affecting the actuarial profession and ethical considerations in actuarial practices.
  • Exam Preparation: Prepare for professional actuarial exams with focused coursework that aligns with official actuarial exam requirements. ‎

Coursera’s Actuarial Science courses cater to a range of learners:

  • Beginners: Some foundational knowledge in mathematics is helpful, but introductory courses are designed to start with the basics of probability and financial mathematics.
  • Intermediate Learners: Those with some background in statistics or finance can delve deeper into specific areas such as advanced risk management or actuarial modeling.
  • Advanced Students and Professionals: Experienced individuals can refine their expertise with specialized courses that enhance their analytical skills and prepare them for upper-level actuarial exams.

These courses build from basic to advanced topics, providing a solid foundation for a career in actuarial science. ‎

Skills acquired in Actuarial Science courses can lead to several lucrative career paths:

  • Actuary: Analyze the financial costs of risk and uncertainty, using mathematics, statistics, and financial theory to study uncertain future events, particularly those of concern to insurance and pension programs.
  • Risk Analyst: Assess and manage the risk that an organization takes on in both its daily operations and long-term planning.
  • Insurance Underwriter: Decide whether to provide insurance and under what terms by evaluating insurance applications and determining coverage amounts and premiums.
  • Financial Planner: Provide clients with strategies for managing their finances, including taxes, investments, and insurance decisions.
  • Pension and Retirement Planner: Work with pension funds, designing and evaluating pension plans and helping ensure that these plans are maintained on a sound financial basis.

A career in actuarial science is often characterized by high job satisfaction due to the challenging nature of the work and the vital role actuaries play in business decision-making. ‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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