The course introduces logic to provide a foundation for reasoning well. The course
will also address persuasion, through defining and explaining what rhetoric is, while giving students the opportunity to create and present original arguments. The types of communication styles, active listening, interpersonal relationships, and difficult conversations will be addressed. The course will teach students how to communicate effectively in business situations.

• Gupta Core Course. Required for All Graduate Business Programs.

An intensive exploration of the intellectual and moral virtues in the context of cultivating leadership characterized by magnanimity and humility and built on the cardinal virtues (i.e., prudence, justice, self-control, and courage). Students develop an advanced capacity for self-awareness and managing oneself. Connections between ethical, authentic, servant, and transformational leadership styles and virtues are examined and applied to personal leadership style and ethical decision making.

• Gupta Core Course. Required for All Graduate Business Programs.

An examination of business as a creation of man and collective contributor to society according to its responsibilities articulated by the tenets of Catholic social teaching including the common good, solidarity, subsidiarity, the dignity of the human person, worker, and work, and a preference for the poor. Emphasis is placed on how managers and their organizations effect change for a more sustainable planet and just society.  

• Gupta Core Course. Required for All Graduate Business Programs.

This course focuses on risk-return analyses that managers use to maximize firm value.
Topics include the time value of money (review), valuation of financial instruments, capital budgeting, cost of capital and capital structure, working capital management, and dividend policy.

Prerequisites:

• College-level financial accounting (or equivalent)
• Microeconomics or macroeconomics
• Calculus

This course builds on Managerial Finance and presents additional concepts and models for financial decision-making. Topics covered include capital budgeting, lease financing, working  capital management, mergers and acquisitions, risk management, capital structure theory, dividend policy, and multinational financial management.

Prerequisites:

• FINA 6305. Managerial Finance.

This course provides hands-on experience in data visualization. Students will learn to analyze the   context of data visualization, to identify, access and prepare data for visualization, to apply best  practices in visual analytics, to design user-oriented visualizations based on essential cognitive  and perceptual principles, and create dashboard and data stories that effectively communicate  data insights to facilitate managerial decision making. Students will complete data visualization assignments as well as a final project featuring an interactive dashboard and data story.

Prerequisites:

• BUAD 6310. Quantitative Reasoning for Decision Making OR
• ACCT 5351. Data Analytics in Accounting OR
• FINA 6305. Managerial Finance

This course provides students with knowledge of basic types of securities (bonds, stocks, foreign exchanges, and derivatives) and how the markets for these securities operate. The principles of
investments, including arbitrage, market efficiency, asset pricing models and portfolio theory are covered. Specific topics include risk-return and mean-variance efficient frontiers, diversification and pricing of risk, security, pricing, etc. Students apply skills in modern investment pricing techniques, including the pricing of fixed-income securities, equities, and derivatives.

Prerequisites:

• FINA 6305. Managerial Finance

The course focuses on providing students with a theoretical and applied understanding of the key methods and tools used in valuing companies in order to evaluate mergers & acquisitions, new projects or make strategic decisions. Analysis of the factors that drive corporate value will be emphasized.

Prerequisites:

• FINA 7310. Intermediate Managerial Finance.

In this course, students develop an understanding of financial derivative instruments (forwards, futures, options and swaps) and their applications to investment strategy and risk management.
Throughout the course, we cover material in the contracts, hedging, arbitrage, pricing and risk management of financial derivative instruments. Derivatives pricing models such as Binomial Tree Model and BSM Model will be discussed in detail. In this course, students learn how to apply
futures strategies for long and short hedge and how to apply option strategies such as covered calls, spreads and butterflies and options Greeks for financial engineering and risk management purposes. Students will also use options and futures contracts for tactical portfolio strategies purposes. Relevant topics such as securitization and real options will also be covered in the  class.

Prerequisites:

• FINA 7322. Investments.

The purpose of this course is to provide a comprehensive background in statistics and  econometrics topics required for learning quantitative finance. The mathematical and statistical  topics include linear algebra, probability theory, business applications of discrete and continuous probability distributions, and statistical inference. Econometrics topics include OLS, GLS, and  intermediate regression analysis. Statistical software and spreadsheet are used to conduct  analyses throughout the course.

Prerequisites:

• FINA 6305. Managerial Finance.

The purpose of this course is to provide students with Python programming skills applied to  various financial applications. Students will learn how to import, clean, manipulate, analyze, and  visualize data in Python. Students will also learn the basics of time series and predictive financial 
modeling using Python. Throughout the course, students will learn how data analytics using  python can improve financial decision-making.

Prerequisites:

• FINA 7360. Quantitative Finance.
• BANA 6360. Programming I.

This course is to help students to understand the concepts, tools, and technologies driving  artificial intelligence, machine learning, and FinTech. Students will gain insight into the fintech  ecosystem and analyze how artificial intelligence and machine learning applications are  disrupting traditional banking and financial services; students will improve financial decision-making by applying fintech techniques in financial datasets. Students will also develop a dynamic optimization model by applying supervised learning machine learning techniques.

Prerequisites:

• FINA 7370. Python for Finance.
• FINA 7322. Investments.
• FINA 7310. Intermediate Managerial Finance.

The objective of the course is to apply the knowledge and skills of advanced financial topics in a real-world stock investment fund. By studying the empirical evidence relevant for portfolio  management, we will cover investment strategies and risk management of equity portfolios, such as estimation of capital market parameters, trade-off between risk and return, equilibrium asset pricing models, portfolio construction, optimal portfolio selection and random walk as applied to portfolio management, etc.

Prerequisites:

• FINA 7310. Intermediate Managerial Finance.
• FINA 7322. Investments.
• BANA 6360. Programming I.