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    • Financial Engineering

    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

    • T

      The University of Tokyo

      From the Big Bang to Dark Energy

      Skills you'll gain: Physics, General Science and Research, Scientific Methods, Mathematical Modeling, Chemistry

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • É

      École Polytechnique Fédérale de Lausanne

      Municipal Solid Waste Management in Developing Countries

      Skills you'll gain: Waste Minimization, Environmental Engineering, Pollution Prevention, Environmental Management Systems, Environment and Resource Management, Governance, Environmental Science, Community Development, Environmental Regulations, Environmental Policy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.4K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Business Model & Product Pitch

      Skills you'll gain: Business Modeling, Entrepreneurship, Growth Strategies, Price Negotiation, Business Planning, Financial Modeling, Cost Accounting, Product Strategy, Product Development, New Product Development, Business Strategies, Value Propositions, Presentations, Business Metrics, Customer Acquisition Management, Market Analysis, Fundraising

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Automation and Project Implementation in Azure Databricks

      Skills you'll gain: CI/CD, Databricks, Microsoft Azure, Data Architecture, Cloud Engineering, Secure Coding, Data Storage Technologies, Integration Testing, Automation, Restful API, Command-Line Interface, Systems Design, Software Design, Data Pipelines, GitHub

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      L

      LearnKartS

      AWS Tools and Services for AI

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, AWS SageMaker, OpenAI, ChatGPT, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Artificial Intelligence, Natural Language Processing, Image Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      B

      Board Infinity

      Generative AI in Marketing

      Skills you'll gain: AI Personalization, Generative AI, Marketing Automation, Marketing, Data Ethics, MarTech, ChatGPT, Marketing Strategies, Campaign Management, Email Marketing, Prompt Engineering, Content Creation, Advanced Analytics, Digital Advertising, Predictive Analytics, Artificial Intelligence, Business Ethics, Natural Language Processing, Video Production, Computer Vision

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Building a Strong Business Foundation

      Skills you'll gain: Business Modeling, Business Planning, Customer Analysis, User Research, Entrepreneurship, Financial Management, Market Research, Marketing Strategies, Business Development, Target Audience, Business Strategy, Email Marketing, Social Media Marketing, Value Propositions, Search Engine Optimization

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Introduction to battery-management systems

      Skills you'll gain: Electrical Systems, Electrical Safety, Thermal Management, Basic Electrical Systems, Control Systems, Systems Engineering, Failure Analysis, Electronic Components, High Voltage, Energy and Utilities, Manufacturing Processes, Chemistry, System Monitoring, Performance Testing, Engineering Calculations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.2K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Introduction to FPGA Design for Embedded Systems

      Skills you'll gain: Field-Programmable Gate Array (FPGA), Hardware Design, Electronic Systems, Embedded Systems, Electronics Engineering, Application Specific Integrated Circuits, Electronics, Computer Architecture, Schematic Diagrams, Technical Design, Hardware Architecture, Design Software, Verification And Validation, Simulation and Simulation Software

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • B

      BITS Pilani

      Bachelor of Science in Computer Science

      Skills you'll gain: Relational Databases, User Research, Probability & Statistics, Data Storytelling, Bash (Scripting Language), Graph Theory, Object Oriented Design, Android Development, Operating Systems, Database Design, Bioinformatics, Feature Engineering, User Interface (UI) Design, Threat Modeling, Algorithms, Version Control, Java Programming, Data Structures, Model View Controller, Computational Logic

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      P

      Packt

      Gen AI - RAG Application Development using LlamaIndex

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI Agents, Generative AI, Application Development, Data Storage Technologies, Query Languages, Natural Language Processing, Data Integration, Development Environment

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      M

      Macquarie University

      DevSecOps

      Skills you'll gain: DevSecOps, Application Security, Secure Coding, MLOps (Machine Learning Operations), Security Engineering, Threat Modeling, Security Testing, Software Architecture, Kubernetes, Cloud Security, CI/CD, Microsoft Azure, Web Applications, Docker (Software), Containerization, Infrastructure as Code (IaC), Machine Learning, Version Control, Dependency Analysis

      Beginner · Course · 1 - 3 Months

    Financial Engineering learners also search

    Financial Management
    Financial Analysis
    Financial Modeling
    Financial Accounting
    Financial Trading
    Finance
    Financial Planning
    Business Finance
    1…383940…386

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

    • From the Big Bang to Dark Energy: The University of Tokyo
    • Municipal Solid Waste Management in Developing Countries: École Polytechnique Fédérale de Lausanne
    • Business Model & Product Pitch: University of Minnesota
    • Automation and Project Implementation in Azure Databricks: Packt
    • AWS Tools and Services for AI: LearnKartS
    • Generative AI in Marketing: Board Infinity
    • Building a Strong Business Foundation: Packt
    • Introduction to battery-management systems: University of Colorado Boulder
    • Introduction to FPGA Design for Embedded Systems: University of Colorado Boulder
    • Bachelor of Science in Computer Science: BITS Pilani

    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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