Financial Technology (FNT)

Covers the FinTech ecosystem and its technology-assisted processes including core banking systems, ACH processing, payment systems, Interactive Teller Machines, money movement apps, bill pay systems, and credit card networks. Addresses financial statements, cash flow analysis, capital budgeting techniques, liquidity metrics, profitability and valuation analysis.

Prerequisites: Admission to the graduate certificate in Leading FinTech Transformation.

Offered: Fall, Spring, Summer.

Covers financial data technologies, financial data visualization, and developing financial analytics applications using current analytics software tools.

Prerequisites: Admission to the graduate certificate in Leading FinTech Transformation.

Offered: Fall, Spring, Summer.

Examines how to cultivate an innovative organizational culture in the financial services industry. Explores FinTech project management topics, life cycle models, development processes, business analysis, risk analysis, vendor selection, and cybersecurity.

Prerequisites: Admission to the graduate certificate in Leading FinTech Transformation.

Offered: Fall, Spring, Summer.

Explores how financial services use cloud computing, artificial intelligence, machine learning, and other technologies. Includes additional topics such as API design, robotic process automation, risk analysis, and cybersecurity.

Prerequisites: Admission to the graduate certificate in Emerging Technologies in FinTech.

Offered: Fall, Spring, Summer.

Covers Bitcoin, Ethereum and other blockchain technologies; cryptocurrencies vs blockchain; smart contracts; dApps; DeFi applications; crypto wallets, blockchain test nets & transactions; regulatory landscape, crypto trading; and implications for accounting.

Prerequisites: Admission to the graduate certificate in Emerging Technologies in FinTech.

Offered: Fall, Spring, Summer.

Explores artificial intelligence and machine learning strategies and how they can contribute to building more efficient financial services. Covers AI/ML techniques including decision trees, kNN, Random Forests, and SVM for applications such as credit evaluation, fraud detection, loan underwriting, algorithmic trading, and chatbots.

Prerequisites: Admission to the graduate certificate in Emerging Technologies in FinTech.

Offered: Fall, Spring, Summer.