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Microcredential

Finance

Massachusetts Institute of Technology via edX Micromasters

Overview

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.

Syllabus

Courses under this program:
Course 1: Foundations of Modern Finance I

A mathematically rigorous framework to understand financial markets delivered with data-driven insights from MIT professors.



Course 2: Foundations of Modern Finance II

Learn fundamental principles of modern finance, including valuation models, methods for risk analysis, derivative instruments and investment management.



Course 3: Financial Accounting

How do investors, creditors, and other users analyze financial statements to assess corporate performance. Learn financial accounting, how to read financial statements, and input valuation models for better corporate finance decision-making.



Course 4: Mathematical Methods for Quantitative Finance

Learn the mathematical foundations essential for financial engineering and quantitative finance: linear algebra, optimization, probability, stochastic processes, statistics, and applied computational techniques in R.



Course 5: Derivatives Markets: Advanced Modeling and Strategies

Financial derivatives are ubiquitous in global capital markets. Students will obtain a sophisticated understanding of valuation methods; tools for quantifying, hedging, and speculating on risk; and a basic familiarity with major markets and instruments.



Courses

Taught by

Paul F. Mende, John Core, Deborah J. Lucas, Leonid Kogan and Jiang Wang

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