• For Individuals
  • For Businesses
  • For Universities
  • For Governments
Coursera
Log In
Join for Free
Coursera
  • Browse
  • Computational Finance

Computational Finance Courses Online

Understand computational finance for quantitative analysis in finance. Learn to use mathematical models and algorithms for trading and risk management.

Skip to search results

Filter by

Subject
Required
 *

Language
Required
 *

The language used throughout the course, in both instruction and assessments.

Learning Product
Required
 *

Build job-relevant skills in under 2 hours with hands-on tutorials.
Learn from top instructors with graded assignments, videos, and discussion forums.
Learn a new tool or skill in an interactive, hands-on environment.
Get in-depth knowledge of a subject by completing a series of courses and projects.
Earn career credentials from industry leaders that demonstrate your expertise.
Earn career credentials while taking courses that count towards your Master’s degree.
Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.
Complete graduate-level learning without committing to a full degree program.
Earn a university-issued career credential in a flexible, interactive format.
Graduate level learning within reach.

Level
Required
 *

Duration
Required
 *

Skills
Required
 *

Subtitles
Required
 *

Educator
Required
 *

Explore the Computational Finance Course Catalog

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera Instructor Network

    AI-Powered Finance: Forecasting, Planning & Reporting

    Skills you'll gain: Ledgers (Accounting), Prompt Engineering, Tax Planning, Large Language Modeling, Auditing, LLM Application, Tax Compliance, Income Tax, Portfolio Management, Generative AI, Cash Flow Forecasting, Fraud detection, Financial Forecasting, Financial Analysis, Responsible AI, Financial Auditing, Analysis, Oracle Cloud Applications, Artificial Intelligence, Risk Management

    4.3
    Rating, 4.3 out of 5 stars
    ·
    188 reviews

    Intermediate · Specialization · 3 - 6 Months

  • 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
    ·
    396 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    U

    University of Maryland, College Park

    AI Applications in Accounting and Finance

    Skills you'll gain: Accounting and Finance Software, Unstructured Data, Financial Data, Financial Statement Analysis, Image Analysis, Finance, Financial Analysis, Accounting, Emerging Technologies, Artificial Intelligence, Text Mining, Financial Reporting, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Trend Analysis, Data-Driven Decision-Making, Natural Language Processing

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDHEC Business School

    Introduction to Portfolio Construction and Analysis with Python

    Skills you'll gain: Investment Management, Portfolio Management, Asset Management, Risk Analysis, Financial Modeling, Risk Management, Financial Analysis, NumPy, Probability Distribution, Python Programming, Simulations, Pandas (Python Package), Matplotlib, Data Manipulation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.5K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Washington

    Computational Neuroscience

    Skills you'll gain: Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Computer Vision, Computer Science, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Biology, Linear Algebra, Information Architecture, Differential Equations, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    N
    G
    N
    G

    Multiple educators

    Machine Learning for Trading

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Financial Trading, Reinforcement Learning, Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Securities Trading, Portfolio Management, Market Trend, Artificial Intelligence and Machine Learning (AI/ML), Financial Market, Artificial Neural Networks

    3.9
    Rating, 3.9 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Specialization · 1 - 3 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    C

    Coursera Instructor Network

    Introduction to Generative AI in Finance

    Skills you'll gain: Generative AI, Fraud detection, Predictive Analytics, Financial Services, Personalized Service, Financial Modeling, Financial Trading, Financial Reporting, FinTech, Compliance Management, Artificial Intelligence, Risk Analysis, Emerging Technologies, Banking, Investment Management, Automation

    3.7
    Rating, 3.7 out of 5 stars
    ·
    51 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Caltech

    Pricing Options with Mathematical Models

    Skills you'll gain: Derivatives, Financial Market, Risk Modeling, Mathematical Modeling, Financial Modeling, Credit Risk, Risk Management, Portfolio Management, Probability, Differential Equations, Applied Mathematics, Probability Distribution, Calculus

    4.7
    Rating, 4.7 out of 5 stars
    ·
    37 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    C

    Coursera Instructor Network

    GenAI for Algorithmic Trading

    Skills you'll gain: Generative AI, Financial Trading, Market Data, Portfolio Management, Technical Analysis, Prompt Engineering Tools, Market Trend, Real Time Data, Automation, Python Programming, Predictive Modeling, Time Series Analysis and Forecasting, Risk Management

    4.2
    Rating, 4.2 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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
    ·
    4.5K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Foundational Finance for Strategic Decision Making

    Skills you'll gain: Market Data, Loans, Finance, General Finance, Corporate Finance, Securities (Finance), Mortgage Loans, Financial Market, Equities, Investments, Financial Analysis, Financial Data, Business Valuation, Investment Management, Microsoft Excel, Financial Management, Financial Forecasting, Business Mathematics, Financial Planning, Financial Modeling

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.3K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    Saïd Business School, University of Oxford

    AI in Financial Services: Foundations through future trends

    Skills you'll gain: FinTech, Financial Inclusion, Financial Services, Responsible AI, Data Ethics, Artificial Intelligence, Mobile Banking, Banking Services, Data Sharing, Financial Systems, Data Governance, Application Programming Interface (API), Financial Data, Financial Regulation, Finance, Artificial Intelligence and Machine Learning (AI/ML), Business Ethics, Innovation, General Data Protection Regulation (GDPR), Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    38 reviews

    Beginner · Specialization · 3 - 6 Months

Computational Finance learners also search

Finance
Business Finance
Project Finance
Beginner Finance
Financial Management
Python Finance
Finance for Business
Financial Analysis
1234…127

In summary, here are 10 of our most popular computational finance courses

  • AI-Powered Finance: Forecasting, Planning & Reporting: Coursera Instructor Network
  • Financial Engineering and Risk Management: Columbia University
  • AI Applications in Accounting and Finance: University of Maryland, College Park
  • Introduction to Portfolio Construction and Analysis with Python: EDHEC Business School
  • Computational Neuroscience: University of Washington
  • Machine Learning for Trading: New York Institute of Finance
  • Introduction to Generative AI in Finance: Coursera Instructor Network
  • Pricing Options with Mathematical Models: Caltech
  • GenAI for Algorithmic Trading: Coursera Instructor Network
  • Python and Statistics for Financial Analysis: The Hong Kong University of Science and Technology

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 Computational Finance

Computational finance is a field that combines finance, mathematics, and computer science to develop advanced models, algorithms, and computational tools for financial analysis, risk assessment, and decision-making. It involves using mathematical and statistical methods, along with programming and data analysis techniques, to analyze financial markets, develop trading strategies, model asset pricing, manage portfolios, and evaluate investment risks.‎

To excel in computational finance, you need to develop the following skills:

  • Financial Knowledge: Understanding of financial markets, instruments, and concepts, including asset pricing, portfolio management, risk management, and derivatives.
  • Mathematical and Statistical Modeling: Proficiency in mathematical and statistical methods used in finance, such as probability theory, calculus, optimization, time series analysis, and regression modeling.
  • Programming and Data Analysis: Skills in programming languages such as Python, R, or MATLAB to implement financial models, analyze data, and perform simulations.
  • Quantitative Analysis: Ability to analyze and interpret financial data, identify patterns, validate models, and make informed decisions based on quantitative analysis.
  • Financial Modeling: Knowledge of building and evaluating financial models, including option pricing models, stochastic processes, and Monte Carlo simulations.
  • Risk Management: Understanding of risk assessment and management techniques, including value-at-risk (VaR), stress testing, and scenario analysis.
  • Computational Tools: Familiarity with financial software packages and libraries, such as Bloomberg, Excel, or specialized tools for quantitative finance.
  • Econometrics: Knowledge of econometric techniques for analyzing relationships between economic variables and modeling financial time series data.
  • Financial Databases and Market Data: Experience in accessing and utilizing financial databases and market data sources to gather relevant information for analysis and modeling.
  • Communication and Collaboration: Ability to communicate complex financial concepts effectively and work collaboratively in multidisciplinary teams.‎

With computational finance skills, you can pursue various job opportunities, including:

  • Quantitative Analyst
  • Financial Risk Analyst
  • Financial Engineer
  • Quantitative Trader
  • Data Scientist (specializing in finance)
  • Portfolio Analyst
  • Investment Analyst
  • Risk Manager
  • Financial Modeler
  • Research Analyst in Finance

These roles involve utilizing computational techniques, mathematical modeling, and statistical analysis to evaluate financial data, develop trading strategies, manage risks, and support investment decision-making.‎

Computational finance is well-suited for individuals who possess the following qualities:

  • Strong Analytical Skills: The ability to analyze complex financial data, identify patterns, and derive meaningful insights using mathematical and statistical techniques.
  • Mathematical Aptitude: Comfort with mathematical concepts, including calculus, probability theory, and linear algebra, as they form the foundation of computational finance.
  • Programming Proficiency: Experience or willingness to learn programming languages and tools used in quantitative finance, such as Python, R, or MATLAB.
  • Attention to Detail: Meticulousness in handling financial data, developing models, and ensuring accuracy in analysis and simulations.
  • Problem-Solving Orientation: Aptitude for tackling complex financial problems, designing algorithms, and developing innovative solutions.
  • Curiosity and Continuous Learning: A passion for staying updated with the latest financial market trends, industry regulations, and computational finance techniques.
  • Team Player: Ability to work collaboratively in cross-functional teams, communicate effectively, and contribute to the success of quantitative finance projects.
  • Financial Literacy: Understanding of financial markets, investment instruments, and risk management principles.‎

Several topics are related to computational finance that you can study to enhance your skills and knowledge, including:

  • Financial Markets and Instruments
  • Mathematical Methods in Finance
  • Option Pricing Models
  • Stochastic Calculus and Processes
  • Portfolio Optimization and Asset Allocation
  • Risk Management in Finance
  • Time Series Analysis for Financial Data
  • Monte Carlo Simulations in Finance
  • Algorithmic Trading and High-Frequency Trading
  • Machine Learning in Finance

Exploring these topics through online courses, academic programs, research papers, and practical projects will provide a comprehensive understanding of the concepts and techniques used in computational finance, allowing you to apply them effectively in real-world financial analysis and decision-making.‎

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

When looking to enhance your workforce's skills in Computational Finance, 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.

Other topics to explore

Arts and Humanities
338 courses
Business
1095 courses
Computer Science
668 courses
Data Science
425 courses
Information Technology
145 courses
Health
471 courses
Math and Logic
70 courses
Personal Development
137 courses
Physical Science and Engineering
413 courses
Social Sciences
401 courses
Language Learning
150 courses

Coursera Footer

Skills

  • Artificial Intelligence (AI)
  • Cybersecurity
  • Data Analytics
  • Digital Marketing
  • English Speaking
  • Generative AI (GenAI)
  • Microsoft Excel
  • Microsoft Power BI
  • Project Management
  • Python

Certificates & Programs

  • Google Cybersecurity Certificate
  • Google Data Analytics Certificate
  • Google IT Support Certificate
  • Google Project Management Certificate
  • Google UX Design Certificate
  • IBM Data Analyst Certificate
  • IBM Data Science Certificate
  • Machine Learning Certificate
  • Microsoft Power BI Data Analyst Certificate
  • UI / UX Design Certificate

Industries & Careers

  • Business
  • Computer Science
  • Data Science
  • Education & Teaching
  • Engineering
  • Finance
  • Healthcare
  • Human Resources (HR)
  • Information Technology (IT)
  • Marketing

Career Resources

  • Career Aptitude Test
  • Examples of Strengths and Weaknesses for Job Interviews
  • High-Income Skills to Learn
  • How Does Cryptocurrency Work?
  • How to Highlight Duplicates in Google Sheets
  • How to Learn Artificial Intelligence
  • Popular Cybersecurity Certifications
  • Preparing for the PMP Certification
  • Signs You Will Get the Job After an Interview
  • What Is Artificial Intelligence?

Coursera

  • About
  • What We Offer
  • Leadership
  • Careers
  • Catalog
  • Coursera Plus
  • Professional Certificates
  • MasterTrack® Certificates
  • Degrees
  • For Enterprise
  • For Government
  • For Campus
  • Become a Partner
  • Social Impact
  • Free Courses
  • Share your Coursera learning story

Community

  • Learners
  • Partners
  • Beta Testers
  • Blog
  • The Coursera Podcast
  • Tech Blog

More

  • Press
  • Investors
  • Terms
  • Privacy
  • Help
  • Accessibility
  • Contact
  • Articles
  • Directory
  • Affiliates
  • Modern Slavery Statement
  • Manage Cookie Preferences
Learn Anywhere
Download on the App Store
Get it on Google Play
Logo of Certified B Corporation
© 2025 Coursera Inc. All rights reserved.
  • Coursera Facebook
  • Coursera Linkedin
  • Coursera Twitter
  • Coursera YouTube
  • Coursera Instagram
  • Coursera TikTok