Curriculum Overview

Business leaders are increasingly expected to be knowledgeable about the opportunities for data-driven decision-making and inherent challenges and tradeoffs and proficient with manipulating and analyzing data themselves. The MBA Foundations & Skills: Structured Problem Solving course covers data analysis, sampling and estimation, hypothesis testing and multiple regression. You’ll learn basic statistical techniques and will acquire proficiency with the art of applying these techniques to practical managerial decision problems.

Data Foundations: Exploring, Analyzing, and Communicating What Matters will develop the foundational data skills leaders and managers need to make informed decisions and communicate insights effectively. By the end of the course, students will be better equipped to use data to frame business problems, support managerial decisions, and communicate recommendations to diverse stakeholders.

Financial accounting is a crucial business tool. The primary goal is to become informed users of financial statements. By the end of the course, you should be able to analyze financial statements, footnotes, and other corporate disclosures, interpret articles from The Wall Street Journal and other business publications and understand analyst reports.

A secondary goal of this course is to ensure that students are comfortable with the mechanics of financial accounting. By the end of the course, you should be able to prepare financial statements reflecting a wide range of economic transactions. Understanding the impact of transactions on the financial statements is central to preparing business plans, forecasting financial performance, budgeting and assessing the implications of proposed transactions on the financial statements.

This course develops the tools used in price forecasting and price setting, and applies these tools to a wide variety of topics along the way. Basic supply and demand methods are used to analyze the effects on prices of government policy and shocks to demand or output, both in the short and long run. This includes policies in markets with externalities and other market failures. After completing the course, you will be able to forecast prices of inputs and outputs of the production process and understand the basics of pricing.

This course is designed as an advanced level introduction to the basic principles and concepts in marketing. The goal is to expose you to these concepts as they are used in a wide variety of settings, including consumer goods firms, manufacturing and service industries, and small and large businesses. The course will give you an overview of marketing strategy issues, elements of a market situation analysis — company, customers and competition, as well as the fundamental elements of the marketing mix — product, price, placement (distribution) and promotion. You will be challenged to apply the principles you learn in class to current and real-world marketing issues.

Topics covered may include:

• Innovation in technology-intensive environments;
• Marketing-related AI applications in technology-intensive environments
• Economics of customer attention and decision-making in technology-intensive environments
• Customer experience management in technology-intensive environments
• Digital and social media marketing
• Understanding how start-ups work in technology-intensive environments
• Re-conceptualizing how products, services and solutions are designed in technology-intensive environments; managing pricing, digital channels and the omni-channel environment
• Competing well in technology-intensive environments, and
• Technology-infused market strategy design and implementation

The goal of this course is to introduce you to the concepts and techniques necessary to implement optimal investment decisions by firms and investors. You’ll study the effect of time and uncertainty on financial decision making. Topics include discounting techniques, applications to personal finance, bonds, stocks and options valuation, optimal portfolios, project valuation and capital budgeting.

This skills-focused core course approaches presence as a learnable leadership capability grounded in self-awareness, interpersonal effectiveness (both verbal and nonverbal), and practice. Students will gain an understanding of various presence frameworks; adapt them for specific audiences and purposes, use AI as a tool to develop audience-centered strategies; practice their approaches in real time; and receive feedback from peers and faculty.

Business Statistics and Analytics: Modeling, Predicting, and Explaining What Drives Results equips future business leaders with the tools of evidence-based reasoning—estimation, hypothesis testing, experimentation, and regression modeling—applied to real business problems. By the end of the course, students will be better equipped to identify what drives value, forecast key business outcomes, recognize common analytical pitfalls, and communicate findings with confidence to both technical and non-technical audiences.

This course focuses on exploring how managers of complex organizations effectively exploit information to achieve organizational objectives, and covers all types of organizations, including profit seeking companies, non-profits and public sector entities. The premise is that the achievement of organizational objectives depends on both making good decisions and aligning managers and employees with the organization’s objectives. You’ll develop a sophisticated understanding of the powerful role of strategic cost analysis and performance measurement in supporting decision-making, performance management and incentive alignment in a timely, efficient and effective manner.

This course focuses on internal operations and cost analysis as opposed to the evaluation of external financial statements. Its target audience includes students intending to become management consultants, entrepreneurs, managers (CEOs, CFOs, product managers), and anyone with an interest in how firms make decisions about products and services. Topics covered include overhead allocation, activity-based costing, capacity costs, transfer pricing, performance evaluation and internal controls, and their specific application in the manufacturing and services sectors.

This course is designed to introduce you to financial management. Coursework approaches topics from the perspective of the discounted cash flow principle, which provides a unifying framework to achieve value maximizing decisions in the context of finance. You’ll explore the role of financial markets in the economy and the role of financial managers in the firm, study corporate valuation and learn about investment and financing policy.

Operations management is defined as the design, operation and improvement of the systems that create and deliver the firm’s primary products and services. This class provides an understanding of the operations management function and its relationship to other functional areas within the firm. In this class, you will develop frameworks to analyze the strengths and weakness of a firm’s operations and to develop viable alternatives in pursuing its goals and objectives. You will examine the tradeoffs that managers face in emphasizing one goal (such as high capacity utilization) as compared to another goal (such as minimum throughput time). Operations management will provide you with the tools, techniques, and strategies for making organizations work more effectively and efficiently to make you a better manager.

The purpose of this course is to increase your ability to analyze the strategy of corporations. You’ll focus on answering two main questions: (1) What allows certain firms to succeed – that is, earn positive economic profits – while other firms fail? (2) Why can certain firms sustain their economic profits over long periods of time, while for other firms these profits quickly disappear? In this case-based course, you will learn practical analytical techniques for analyzing these issues, evaluating alternate strategic plans and anticipating the consequences of specific decisions.

This course is designed to enhance your professional communication skills through a structured process: planning effective presentations by analyzing audiences and crafting clear messages with impactful visuals; polishing delivery by building confidence and practicing; presenting using dynamic techniques and creating engaging slide decks; and reflecting on your performance to identify strengths and areas for growth. Throughout the course, you will complete multiple presentation assignments, give and receive comprehensive peer feedback, and use this input to further refine your communication abilities. The course emphasizes both individual development and collaborative learning through ongoing feedback and reflection.

Leading ethically is highly beneficial to employees and organizations. This course focuses on identifying and building leadership skills that can enable students to match their leadership approach to specific organizational demands focused on leading ethical and productive outcomes.

Skills development combines a deep dive into the theoretical principles of ethics alongside experiential learning through cases, scenarios, and activities geared to engage students in recognizing ethical aspects and opportunities in business situations, diagnosing problems associated with ethics, and developing action plans to best fulfill ethics priorities within organizations.

These courses take an interdisciplinary, skills-based approach to understanding ethics, with the goal of helping you to master skills to become an ethical leader:

• Ethical Leadership
• Resisting Corporate Corruption: Cases in Practical Ethics
• Strategy & Sustainability

This course covers core concepts and theories from psychology and organizational science, which form the knowledge base for leadership and management skills. Its focus is on surveying key skills for understanding yourself as a leader, improving individual and group decision-making, and motivating and influencing followers. This introductory course will help prepare you for continuous learning throughout the MBA Program and your career.

Decision Making with Data and AI is a hands-on practicum in which students frame a business question, collect and assess the relevant data, conduct descriptive analyses, build predictive machine learning models, design prescriptive recommendations, and translate the results into clear guidance for decision-makers, all using leading AI tools such as Codex, Claude Code and Cursor. By the end of the course, students will be better equipped to direct AI tools toward business objectives, judge the quality and limits of data and models, and communicate defensible recommendations with confidence.