Graduate Program Certificate:
Modern Financial Technologies (FinTech)
The financial world has changed as you knew it.
As the financial sector attempts to leverage technology in its expansive operations, the area of Modern Financial Technologies (FinTech) is growing to meet that need. These universal methods add security to transactions and allow both businesses and consumers to better manage their financial operations. As automation grows, it is imperative to stay current with the FinTech industry. With this Certificate, you will obtain a background in:
An MBA with a FinTech background is an in-demand asset for nearly every employer in the financial sector.
Careers in FinTech
Valuation as the unifying principle of Finance. Topics include forms of business ownership, firm and project cash flows, time value of money, bond and stock valuation, capital budgeting, operating and financial leverage, risk and diversification, and the cost of capital.
The course provides a comprehensive overview of new financial technologies. Such technologies combine traditional investment practice with the ever increasing power of computation to facilitate the achievement of highly customized objectives. The course covers the rise of big data analytics (Artificial Intelligence and Machine Learning) as well as the rise of automated investment advisers and algorithmic trading. We also discuss the role of the Blockchain in cryptocurrencies, such as Bitcoin and Etherium, and their implications for Investment management practice and financial services.
This course provides a broad and practical introduction to the modern methods of Financial Data analysis. The course emphasizes the use of modern analytical techniques to extract insights from the most commonly used financial data. Using a hands‐on approach, students will develop deep practical intuition into the nature of financial returns, bond valuation, and stock pricing. Using a programming language such as “R” students will build financial models using a mix of market and accounting information, build optimally weighted portfolios, learn the basics of risk management, and learn simulation techniques such as Bootstrap and Resampling.
Prerequisite: 53:390:506, Financial Management
This course provides a broad and practical introduction to the modern methods of Investment Management. The course emphasizes the use of big data and modern analytical techniques of Machine Learning and Artificial Intelligence to improve the performance of investment management. We start with the introduction to Python and financial data. We then apply Python and machine learning algorithms to the fundamental topics on investment management, such as bond valuation, stock pricing, derivative pricing, portfolio construction and optimization, international asset allocation, Monte Carlo simulation, and performance measurement.
Prerequisite: 53:390:506, Financial Management programming language.
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