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Financial Engineering Courses Online

Master financial engineering for designing financial products and managing risk. Learn about derivatives, quantitative modeling, and financial markets.

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Explore the Financial Engineering Course Catalog

  • Status: Free Trial
    Free Trial
    C

    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
    ·
    399 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    302 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    Y

    Yale University

    Financial Markets

    Skills you'll gain: Investment Banking, Risk Management, Financial Market, Financial Regulation, Financial Services, Finance, Business Risk Management, Securities (Finance), Capital Markets, Behavioral Economics, Banking, Corporate Finance, Governance, Insurance, Underwriting, Derivatives, Market Dynamics, Mortgage Loans

    4.8
    Rating, 4.8 out of 5 stars
    ·
    32K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    T

    The Hong Kong University of Science and Technology

    Python and Statistics for Financial Analysis

    Skills you'll gain: Statistical Inference, Statistical Methods, Pandas (Python Package), Probability & Statistics, Risk Analysis, Financial Trading, Financial Data, Data Manipulation, Statistical Analysis, Regression Analysis, Financial Analysis, Jupyter, Probability Distribution, Python Programming, Data Visualization

    4.4
    Rating, 4.4 out of 5 stars
    ·
    4.6K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Prompt Engineering Basics

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6.9K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Financial Management

    Skills you'll gain: Financial Statement Analysis, Financial Statements, Return On Investment, Risk Management, Balance Sheet, Accounts Receivable, Business Risk Management, Credit Risk, Income Statement, Financial Acumen, Risk Mitigation, Operational Risk, Resource Allocation, Proposal Development, Capital Budgeting, Cash Flows, Financial Analysis, Strategic Decision-Making, Operational Efficiency, Stakeholder Communications

    4.8
    Rating, 4.8 out of 5 stars
    ·
    278 reviews

    Beginner · Specialization · 3 - 6 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Business and Financial Modeling

    Skills you'll gain: Risk Modeling, Financial Statements, Probability Distribution, Mathematical Modeling, Statistical Modeling, Portfolio Management, Regression Analysis, Business Modeling, Financial Modeling, Strategic Decision-Making, Risk Management, Presentations, Decision Making, Data Visualization, Microsoft PowerPoint, Predictive Modeling, Investment Management, Spreadsheet Software, Google Sheets, Microsoft Excel

    4.5
    Rating, 4.5 out of 5 stars
    ·
    11K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    Corporate Finance Institute

    Preparatory Certificate in Finance and Financial Markets

    Skills you'll gain: Environmental Social And Corporate Governance (ESG), Financial Statement Analysis, Annual Reports, Mergers & Acquisitions, Income Statement, Financial Statements, Financial Analysis, Business Valuation, Banking Services, Credit Risk, Loans, Capital Expenditure, Corporate Finance, Banking, Accounting, Capital Markets, Enterprise Risk Management (ERM), Balance Sheet, Financial Trading, Wealth Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    596 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Finance & Quantitative Modeling for Analysts

    Skills you'll gain: Financial Reporting, Return On Investment, Financial Acumen, Financial Data, Capital Budgeting, Financial Statements, Finance, Mathematical Modeling, Statistical Modeling, Regression Analysis, Business Modeling, Financial Modeling, Income Statement, Financial Analysis, Risk Analysis, Financial Forecasting, Spreadsheet Software, Google Sheets, Microsoft Excel, Corporate Finance

    4.5
    Rating, 4.5 out of 5 stars
    ·
    17K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Data Engineering

    Skills you'll gain: Data Store, Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Data Warehousing, Data Governance, Apache Hadoop, Relational Databases, Apache Spark, Data Lakes, Databases, SQL, NoSQL, Data Security, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Introduction to Finance and Accounting

    Skills you'll gain: Financial Statements, Financial Statement Analysis, Return On Investment, Financial Reporting, Capital Budgeting, Financial Accounting, Working Capital, Balance Sheet, Finance, Accrual Accounting, Financial Analysis, Accounting, Cash Flows, Income Statement, Financial Forecasting, Equities, Forecasting, Bookkeeping, Cash Flow Forecasting, Corporate Finance

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    L

    London Business School

    Fundamentals of Financial Analysis

    Skills you'll gain: Financial Statement Analysis, Financial Analysis, Financial Statements, Balance Sheet, Financial Reporting, Financial Modeling, Income Statement, Return On Investment, Accounting, Investments, Cash Flows, Asset Management

    4.4
    Rating, 4.4 out of 5 stars
    ·
    84 reviews

    Beginner · Course · 1 - 4 Weeks

Financial Engineering learners also search

Financial Management
Financial Analysis
Financial Modeling
Financial Accounting
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1234…459

In summary, here are 10 of our most popular financial engineering courses

  • Financial Engineering and Risk Management: Columbia University
  • Introduction to Financial Engineering and Risk Management: Columbia University
  • Financial Markets: Yale University
  • Python and Statistics for Financial Analysis: The Hong Kong University of Science and Technology
  • Generative AI: Prompt Engineering Basics: IBM
  • Financial Management: Duke University
  • Business and Financial Modeling: University of Pennsylvania
  • Preparatory Certificate in Finance and Financial Markets: Corporate Finance Institute
  • Finance & Quantitative Modeling for Analysts: University of Pennsylvania
  • Introduction to Data Engineering: IBM

Skills you can learn in Finance

Investment (23)
Market (economics) (20)
Stock (18)
Financial Statement (14)
Financial Accounting (13)
Modeling (13)
Corporate Finance (11)
Financial Analysis (11)
Trading (11)
Evaluation (10)
Financial Markets (10)
Pricing (10)

Frequently Asked Questions about Financial Engineering

Financial engineering is an interdisciplinary field that combines applied mathematics, statistics, and computer science to guide investment decisions. While finance has always emphasized quantitative analysis, today’s technology has made it possible to apply these approaches at an unprecedented scale and speed. Massive datasets are now delivered via hardwired internet connections into financial modeling programs built in software like Solver in Microsoft Excel, or even machine learning tools created through Python programming or other techniques.

The power of financial engineering has made it incredibly important for trading, portfolio optimization and risk management, valuation of derivatives and real options, and a host of other purposes at virtually all of today’s largest financial institutions. Indeed, it has been estimated that as much as 80% of the activity on the U.S. stock market today is computer-led algorithmic trading, making the use of financial engineering absolutely essential to competitiveness in the market.

By automating financial decision-making, these approaches have unquestionably created enormous value for the firms deploying them. However, the prominence of financial engineering has caused some economists to question whether it is contributing to market volatility during financial turbulence, including the COVID-19 crisis, even if many others claim that it has a positive effect on market liquidity. Regardless, financial engineering is here to stay, making it a critical topic to understand for any finance professional.‎

Today, any career in finance requires at least a familiarity with financial engineering. Whether you go to work at an investment bank, a hedge fund, an insurance company, or in government treasuries or regulatory agencies, these techniques will continue to shape the landscape of your job. Thus, understanding how to use financial engineering approaches and how they impact financial problems is a valuable asset regardless of your role in this industry.

If you have a particular talent for applied mathematics and computer science, you can pursue a lucrative career in financial engineering yourself, as quantitative analysts or “quants” are some of the most highly sought after professionals in the industry. “Back office” quants generally build and validate complex financial engineering tools, while “front office” quants work directly with traders to help them deploy the pricing and trading tools they need.‎

Absolutely. Coursera offers a wide range of courses in financial engineering as well as related areas of this interdisciplinary field, including business, computer science, and mathematics and statistics. These courses as well as multi-course Specializations are offered by some of the top undergraduate and business schools in the country, including Columbia University, Yale University, and the University of Pennsylvania.

In addition to being able to learn remotely on your own schedule, these courses are also available at a significantly lower tuition than their on-campus counterparts. Thus, you won’t need a spreadsheet to determine that learning about financial engineering online is a smart investment in your future, whether you’re just starting your career or are an experienced finance professional looking to update your understanding of this vital topic.‎

The skills and experience that you might need to already have before starting to learn financial engineering include a healthy knowledge of mathematics, statistics, economics, and computer science. These aspects come together in financial engineering, which uses financial theory to solve financial problems and to create new financial products. As you begin to learn about financial engineering, you’ll see that a background or knowledge in data science and data management is also very important for the work involved in areas like statistics, indices, quadratic equations, functions, and graphs. Knowing how to use your mathematics and statistics knowledge in building financial models could also be a benefit to learning financial engineering.‎

The kind of people that are best suited for work that involves financial engineering are those who are data geeks, quantitative analysts, and other numbers-focused practitioners. These people may have already gained experience and skills from working in corporate finance, risk management, stock trading, and financial regulation. Being comfortable with spreadsheets, financial theories, computer programming, and financial models is likely a key requisite for work that involves financial engineering. Aside from these hard skills that are required, the kind of persons best suited for financial engineering work might also be analytically-minded, with a keen attention to details, and the ability to extract and communicate complex statistical information into common-sense problem solving.‎

You might know if learning financial engineering is right for you if you have interest and knowledge of financial theories and financial methods. Having a quantitative analysis background and numbers-focused skills may help you find a career in financial engineering. If you’re the person who reads financial statements and digs into computer-based financial models to figure out financial strategies, then becoming involved with work in financial engineering may be a great fit for you. Combining all your knowledge of data and statistics in this area may help you to achieve future success in financial engineering jobs.‎

Online Financial Engineering courses offer a convenient and flexible way to enhance your knowledge or learn new Financial Engineering skills. Choose from a wide range of Financial Engineering courses offered by top universities and industry leaders tailored to various skill levels.‎

When looking to enhance your workforce's skills in Financial Engineering, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

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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