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Leonid Kogan, Jiang Wang, Paul F. Mende, Deborah J. Lucas, and Egor Matveyev

The skills and expertise required for a career in finance are in high demand across countless industries. From asset management, to corporations, to official institutions, the career opportunities for qualified finance professionals continue to grow and evolve. For example, demand for financial analysts is predicted to grow at a faster than average rate of 11% through 2026 (Source). And according to Glassdoor, the median salary of a quantitative financial analyst was $106,575. (Source)

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The skills and expertise required for a career in finance are in high demand across countless industries. From asset management, to corporations, to official institutions, the career opportunities for qualified finance professionals continue to grow and evolve. For example, demand for financial analysts is predicted to grow at a faster than average rate of 11% through 2026 (Source). And according to Glassdoor, the median salary of a quantitative financial analyst was $106,575. (Source)

The MITx MicroMasters® Program in Finance offers recent graduates, early to mid-stage professionals, and other individuals interested in pursuing a career in finance, an opportunity to advance in the finance field or fast-track an MIT Sloan Master of Finance through a rigorous, comprehensive online curriculum, delivered by the world-renowned MIT Sloan School of Management.

Drawn from the STEM-based curriculum taught on campus, all five online courses in this program mirror on-campus graduate-level MIT coursework and cover the following topics: modern finance, financial accounting, mathematical methods for quantitative finance, and derivatives markets. Learners who complete and pass each course in this online program may earn a MicroMasters program certificate in finance, and are considered affiliate members of the MIT Alumni Association. Those learners are eligible to apply to the MIT Sloan Master of Finance and upon acceptance, earn credit for the work performed online.

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What's inside

Four courses

Foundations of Modern Finance I

(144 hours)
This two-part course introduces the fundamentals of modern finance and their applications to business challenges. It covers valuation, investments, and corporate financial decisions under a unified framework. Completing this first course and program will help you prepare for a career in finance.

Foundations of Modern Finance II

(144 hours)
Many of the most important financial decisions in business are done under uncertainty. This course provides you with the science behind making financial decisions under uncertainty.

Mathematical Methods for Quantitative Finance

(2 hours)
Modern finance is the science of decision making in an uncertain world, and its language is mathematics. This course develops the tools needed to describe financial markets, make predictions in the face of uncertainty, and find optimal solutions to business and investment decisions.

Derivatives Markets: Advanced Modeling and Strategies

(144 hours)
Financial derivatives are ubiquitous in global capital markets. This course is part of the MicroMasters® Program in Finance, and is designed for students seeking to develop a sophisticated and durable understanding of valuation and hedging methods, and a basic familiarity with major markets and instruments.

Learning objectives

  • Comprehend the foundations of modern finance.
  • Understand the basics of corporate finance, capital budgeting, real and financial options, capital structure, yield curve analysis, and corporate risk management.
  • Apply financial decision making, the theory of efficient markets, valuation theory, financial securities, risk analysis, portfolio theory, derivatives pricing, hedging strategies based on duration and convexity, and asset pricing models.
  • Identify the basic structure of financial reports and the process of recording transactions. understand how investors, creditors, and other users analyze financial statements to assess corporate performance.
  • Perform applied computational techniques in r and apply advanced mathematical topics in financial engineering and quantitative finance using linear algebra, optimization, probability, stochastic processes, and statistics.

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