Mathematics for Finance Professionals
520,00 $
Mathematics is the language of modern finance. From portfolio optimization to risk management, the ability to understand and apply mathematical models is what separates successful professionals from the rest.
🌟 Course Overview
Mathematics is the language of modern finance. From portfolio optimization to risk management, the ability to understand and apply mathematical models is what separates successful professionals from the rest.
This 6-week executive program takes you beyond theory, combining the academic rigor of MIT-level mathematics with real-world financial applications. Whether you are a finance professional, investment analyst, or aspiring quant, this course will equip you with the tools to make smarter financial decisions.
✔ 100% online and self-paced
✔ MIT-inspired lectures & materials
✔ Practical applications in Excel & Python
✔ Executive-level certificate upon completion
📚 What You’ll Learn
By the end of this program, you will be able to:
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Apply linear algebra to portfolio construction and risk modeling
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Use probability and statistics to analyze financial data
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Master the time value of money and apply discounting, annuities, and compounding in real projects
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Build regression and forecasting models for financial markets
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Implement Monte Carlo simulations for risk analysis
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Understand the basics of option pricing (Black-Scholes model)
🗂 Course Modules
Module 1. Foundations of Mathematics for Finance
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Logic, sets, functions, and basic algebra
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How math underpins financial decision-making
Module 2. Linear Algebra & Matrices in Finance
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Systems of equations and matrix operations
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Eigenvalues and covariance in risk analysis
Module 3. Probability & Random Variables
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Core probability theory
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Distributions (normal, lognormal) in market modeling
Module 4. Statistics & Regression
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Mean, variance, correlation
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Linear regression for stock price forecasting
Module 5. Time Value of Money
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Discounting, compounding, annuities
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Applications to bonds, loans, and derivatives
Module 6. Financial Models in Action
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Value at Risk (VaR)
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Monte Carlo simulation
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Introduction to Black-Scholes
🛠Format & Resources
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Video lectures inspired by MIT OpenCourseWare (with curated playlists)
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Weekly executive notes in plain English
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Hands-on exercises in Excel & Python
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Real financial case studies & templates
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Certificate of Completion
🎯 Who Is This Course For?
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Finance professionals seeking stronger quantitative skills
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Investment analysts and portfolio managers
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MBA students preparing for careers in finance
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Professionals shifting into quantitative finance or fintech
💵 Enrollment & Price
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Duration: 6 weeks (self-paced)
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Access: Lifetime access to materials & updates

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