Master of Business Administration

An introduction to the theory, principles, and application of statistical and other quantitative analytic techniques. Special emphasis is on the acquisition of skills needed in preparation for core MBA courses.

A survey of issues related to the acquisition and management of funds by the firm. Topics in the course include time value of money, analysis of financial statements, asset valuation, forecasting of cash flows, capital budgeting, and cost of capital. 

This course is designed to help business students develop critical high impact leadership skills, with a focus on creating measurable outcomes and fostering sustainable growth in organizations. The course integrates theory with practice, using case studies, workshops, and simulations to prepare students to lead effectively in diverse business environments.

In this course, students will explore best practices for building and managing high-performing teams in dynamic organizational environments. Students will examine critical factors that influence team effectiveness, including elements of team composition and structure. The course will explore how teams use complex processes (such as communication, conflict management, leadership, and adaptability) to generate outcomes. The course also addresses modern challenges unique to managing hybrid/virtual teams and human-technology collaboration.

This course equips students with the strategic, leadership, and operational insights needed to effectively identify, navigate, break down resistance to and leverage change in dynamic business environments. It combines theory with practical application, ensuring students can apply what they learn to their own real-world organizational challenges.

This course explores the role of managers as ethical leaders in shaping the future of organizations within an increasingly complex global environment. Utilizing stakeholder capitalism principles, students will examine how organizations can align profit with broader social and environmental imperatives. Ethical frameworks are presented which students apply to development of leadership integrity and appropriate use of data and technology in the ethical decision-making processes. Students will engage with models of ethical decision-making, and sustainable people management strategies, learning how to cultivate ethical cultures and drive long-term value creation.

Managers must navigate HR-related challenges to lead teams effectively, ensure compliance, and support organizational goals, even if they are not working as HR professionals. This course covers essential HR functions such as staffing and employee selection, performance management, employee training and development, compensation, legal compliance, and labor relations. Students will understand a manager’s role in HR practices and develop skills to collaborate with HR departments and manage their teams strategically.

Organizations rely on HR professionals to attract and recruit a highly effective workforce. This course focuses on how HR can optimize a talent pool to meet organizational objectives and provides students with skills to strategically manage job analysis, workforce planning, recruitment, and selection processes to ensure person-job fit. The course explores modern HR practices, including global staffing, data-driven recruitment, talent acquisition technologies, nontraditional employment, and flexible work arrangements.

This course prepares students to design and implement strategies that sustain a competitive workforce by optimizing employee performance, engagement, and well-being. The course focuses on key HR functions (compensation, benefits, performance management, training, and career development), organizations use to create environments where employees can thrive. The roles of organizational culture, trust in HR, and effective communication in fostering employee satisfaction and retention are explored. The course covers strategies to ensure internal equity and external competitiveness in compensation and alignment of HR strategies with business objectives, to create a competitive and engaged workforce.

This course equips students with the skills to lead diverse, inclusive organizations and create organizational cultures that promote equity and belonging. Students will explore how individual differences and emotional intelligence shape workplace interactions, while learning strategies for managing diverse teams and fostering inclusivity. The course also examines the ethical use of power and influence to build cohesive, high-performing organizations.

This course explores how rapid societal, technological, and economic changes reshape the way organizations manage their people. To stay competitive and sustainable, companies must create an inclusive experience, while addressing challenges such as remote work, the gig economy, and automation. HR leaders must navigate the ethical use of technologies and analytics to support decision-making, enhance well-being, and ensure organizational agility. The course addresses emerging trends in people management, identifying competencies and practices that support future-focused HR professionals in helping organizations adapt for the future.

This course introduces students to people analytics, focusing on how data-driven insights can inform and enhance people management strategies. The course explores use of data to improve HR functions such as hiring, employee engagement, performance management, and workforce planning. Students will learn how to evaluate the quality and usefulness of HR data, analyze and visually represent HR data, interpret key metrics, and use evidence-based decision-making to address real-world business challenges from an HR perspective.

This course provides an examination of risk management from a human resources perspective, equipping students with the knowledge and tools needed to mitigate HR-related risks within an organization. Through the exploration of topics such as legal compliance, internal investigations, crisis management, executive-level succession planning, health and safety, and critical issues like harassment and privacy, students will learn how an HR department can help safeguard an organization against legal, ethical, and reputational risks.

An approach to analysis of data and information relevant to management decision making. Topics covered include budgeting, differential costs in alternative decisions, allocation of cost, cost relationships, pricing, standard costing, and performance evaluation. This course also emphasizes the planning and use of information technology for business processes and decision making in business.

An approach to analysis of accounting data and information relevant to management decision making. Students will develop skills necessary to assist with creation and interpretation of accounting information necessary for managerial decision making. Topics covered include financial accounting basics, performance evaluation and ratio analysis, job costing, CVP analysis, budgeting, allocation of costs, cost relationships, and standard costing.

This course explores introductory financial and managerial accounting concepts through the application of data analytics and statistical analysis, as well as the creation of data visualizations. Students will develop skills to ask the right questions and learn how to use tools (e.g., Excel, Tableau, etc.) to examine and analyze accounting data and effectively interpret results to make critical business decisions.

In this course, students identify and analyze new venture opportunities for startups and established businesses. Topics include lean canvas development, business model consideration, new venture financing, startup failure, demand assessment/market analysis, resourcefulness, risk management, Minimum Viable Product, startup legal matters, and others. The course is aimed at future entrepreneurs, corporate innovators, and those managing new innovation.

In this course, students identify and analyze new venture opportunities for startups and established businesses. Topics include lean canvas development, business model consideration, new venture financing, startup failure, demand assessment/market analysis, resourcefulness, risk management, Minimum Viable Product, startup legal matters, and others. The course is aimed at future entrepreneurs, corporate innovators, and those managing new innovation.

This course focuses on the basics of effective negotiation. Students will learn fundamental negotiation terminology, distributive negotiation tactics, techniques for capturing value, cooperative tacit negotiation, logrolling, dispute resolution, and threat management. Through a series of simulated negotiations in which negotiation partners students have asynchronous information, students will be able to explore the strategy options that work best for them and apply class principles in a low-risk practice environment.

This course further explores optimal negotiation strategies for students who have already completed the introductory negotiations course. Topics include multi-party negotiations, fair distributions, working with agents, mediation, negative ZOPA discovery, and auction strategy. Simulated negotiations and role-play exercises are again the primary learning vehicles in this hands-on, application-oriented course.

This course teaches students to develop an analytical framework for understanding investment and financing decisions in the world of corporate finance. The course provides students with the necessary skills to make such investment and financing decisions. The course topics include financial analysis, risk and return, cost of capital, capital structure, and valuation analysis.

This course delivers the theoretical framework, quantitative tools and practical issues that are critical for financial management. Students will learn the characteristics of financial markets and the nature of financial management. The course topics include financial markets and instruments, advanced capital budgeting analysis, firm valuation and merge and acquisition strategy, capital structure, and ESG and corporate governance.

This course will use insights from behavioral economics, psychology, and other social sciences to develop theoretical frameworks, quantitative tools, and practical issues that are critical for investment management. It will provide a comprehensive understanding of how human behavior impacts financial markets and investors’ decision-making processes. The topics include asset allocation, portfolio optimization, and the psychology of investing. The course focuses on application of portfolio theory to investment practice in the real world while including a discussion of psychological biases’ influence on investor behavior. Thus, this course is a blend of investment theory and state-of-the-art practice. Students will learn how to establish appropriate investment objectives based on their risk tolerance level and develop optimal portfolio strategies. The course is taught through lectures, investment simulation, portfolio clinics, and case studies. Basic knowledge and skills in statistics, economics, and Excel are essential.

This course explores the interdisciplinary combination between finance (Fin) and technology (Tech). It focuses on applying new technologies, such as Blockchain and AI, in financial markets and financial services. The course topics include blockchain technology, digital currencies, smart contracts, and decentralized finance (DeFi). The course will study how new technology reduces transaction costs in financial markets and evaluate the impact of financial innovation on financial markets, consumers, and society.

An overview of contemporary issues related to managing information systems within organizations. The course introduces major information technology concepts that managers face when using, developing and managing information systems for competitive advantage. Topics include information system organization, strategy, knowledge management, IT-based decision making and information systems security and control.

An introduction to the fundamental concepts of business analytics, focusing on the role of data in decision-making. This course provides an overview of business analytics types (descriptive, diagnostic, predictive, prescriptive), an introduction to data types, data sources, and basic statistics, and an introduction to data ethics and privacy. Students will also learn basic visualization and reporting techniques.

This course teaches students how to summarize and interpret historical data to understand past performance and trends. Specific topics covered include data cleaning and preparation as well as statistics tools and measures to summarize and describe the essential features of a data set. The course will also cover data visualization techniques (charts, graphs, dashboards).

This course helps students develop the ability to transform data into clear, compelling narratives is a vital skill for business leaders. Through hands-on projects and case studies, this course equips students with the techniques and framework needed to create impactful data visualizations to tell stories that drive informed decision-making.

This course teaches students how to investigate relationships, identify patterns, and uncover root causes behind observed trends and outcomes. The course topics include: Root cause analysis (RCA) that identifies underlying factors; Hypothesis testing and ANOVA methods that compare groups and validates assumptions; and correlation and regression analysis methods that measure relationships and predict outcomes.

This course provides students with the tools and techniques needed to forecast future outcomes using historical data. The course topics include: Time series analysis and forecasting models to identify future outcomes; Predictive modeling techniques (regression, classification) that use historical data to predict future outcomes; and introduction to machine learning algorithms (decision trees, random forests) that can discover new insights.

This course teaches students to use optimization and decision models to recommend data-driven courses of action. The course topics include: Optimization techniques (linear programming, decision trees) to identify best solutions; Simulation techniques (Monte Carlo simulation) to explore potential relationships using hypothetical data; and Application of prescriptive analytics techniques (resource allocation, pricing, supply chain optimization) to recommend courses of action.

This course  integrates previous business analytics courses and challenges students to apply descriptive, diagnostic, predictive, and prescriptive analytics in a comprehensive business project. The course topics include: Project-based learning with real-world or simulated business data, Application of all four areas of analytics (descriptive, diagnostic, predictive, and prescriptive), and data storytelling and communication.

This course explores ethical dilemmas and critical debates in modern marketing, including corporate advocacy and corporate social responsibility. Students will analyze issues related to the use of technology, analytics, and AI in marketing and the role of marketing in political and social movements. Students will develop a framework for navigating complex marketing decisions. By the end of the course, students will be prepared to critically evaluate marketing practices and make principled, strategic decisions in an evolving business landscape.

This course introduces students to quantitative strategic decision making with marketing as the primary realm of application. Through case analysis, students will explore firm financial analysis, opportunity valuation, segmentation and targeting, product development, and integrated marketing communications.

This course equips students with the tools and techniques needed to leverage data for effective marketing decision-making. Through practical examples, case studies, and hands-on projects, students will gain the skills to collect, analyze, and interpret marketing data, applying their insights to real-world scenarios.

This course focuses on the strategic aspects of operations management and how businesses design their processes to gain a competitive advantage. Topics include aligning operations with overall business strategy, types of production processes (job shop, batch production, mass production, and continuous production), and facility layout and design (product-based, process-based, fixed-position).

This course focuses on the external aspects of operations management, specifically supply chain management, inventory control, and quality management. Topics include inventory management techniques (EOQ, safety stock, JIT, MRP), supplier selection and relationship management, global supply chain management, risk management, and sustainability, quality management systems: TQM, Six Sigma, and ISO standards, and continuous improvement, Kaizen, and benchmarking.

Supervised experience in a business, government, to the student's area of interest. Graduate internships involve management-related work experience that is substantial, provides significant contributions to organization goals, and involve considerable responsibility. Pass/Fail grading.

This course introduces students to a foundational understanding of project management principles, methodologies, and key frameworks. This course focuses on the "what" and "why" of project management.

This course focuses on the practical, hands-on tools and techniques needed for managing and executing projects. This course covers the "how" of project management, including the use of software and tools to manage real-world projects.

This course focuses on advanced project management methodologies and strategic approaches that allow project managers to handle complex and large-scale projects. This course delves into frameworks and high-level project strategies.

This course equips students with advanced tools and techniques to manage complex projects with a focus on metrics, data analytics, and decision-making for project optimization.

A student-developed independent study project designed to be carried out with a faculty advisor. These projects may involve field work in addition to academic research, reading, and conferences with the faculty member.

This course is offered as needed. It is normally an examination of significant issues, theories, and practical problems in the areas of management, finance, marketing, accounting, or economics. The specific topic for a given semester and the course content are selected to meet student interests and needs. 

A capstone course which examines executive-level policy and decision-making processes in setting goals, determining objectives, and developing and implementing action plans. The course emphasizes tactical and strategic planning through the use of relevant problems and case studies that include social, ethical, political, financial and economic factors. Students will apply newly acquired concepts in strategy creation.

This course explores the role of managers as ethical leaders in shaping the future of organizations within an increasingly complex global environment. Utilizing stakeholder capitalism principles, students will examine how organizations can align profit with broader social and environmental imperatives. Ethical frameworks are presented which students apply to development of leadership integrity and appropriate use of data and technology in the ethical decision-making processes. Students will engage with models of ethical decision-making, and sustainable people management strategies, learning how to cultivate ethical cultures and drive long-term value creation.

This course equips students with the skills to lead diverse, inclusive organizations and create organizational cultures that promote equity and belonging. Students will explore how individual differences and emotional intelligence shape workplace interactions, while learning strategies for managing diverse teams and fostering inclusivity. The course also examines the ethical use of power and influence to build cohesive, high-performing organizations.

This course explores how rapid societal, technological, and economic changes reshape the way organizations manage their people. To stay competitive and sustainable, companies must create an inclusive experience, while addressing challenges such as remote work, the gig economy, and automation. HR leaders must navigate the ethical use of technologies and analytics to support decision-making, enhance well-being, and ensure organizational agility. The course addresses emerging trends in people management, identifying competencies and practices that support future-focused HR professionals in helping organizations adapt for the future.

This course introduces students to people analytics, focusing on how data-driven insights can inform and enhance people management strategies. The course explores use of data to improve HR functions such as hiring, employee engagement, performance management, and workforce planning. Students will learn how to evaluate the quality and usefulness of HR data, analyze and visually represent HR data, interpret key metrics, and use evidence-based decision-making to address real-world business challenges from an HR perspective.

This course provides an examination of risk management from a human resources perspective, equipping students with the knowledge and tools needed to mitigate HR-related risks within an organization. Through the exploration of topics such as legal compliance, internal investigations, crisis management, executive-level succession planning, health and safety, and critical issues like harassment and privacy, students will learn how an HR department can help safeguard an organization against legal, ethical, and reputational risks.

In this course, students identify and analyze new venture opportunities for startups and established businesses. Topics include lean canvas development, business model consideration, new venture financing, startup failure, demand assessment/market analysis, resourcefulness, risk management, Minimum Viable Product, startup legal matters, and others. The course is aimed at future entrepreneurs, corporate innovators, and those managing new innovation.

In this course, students identify and analyze new venture opportunities for startups and established businesses. Topics include lean canvas development, business model consideration, new venture financing, startup failure, demand assessment/market analysis, resourcefulness, risk management, Minimum Viable Product, startup legal matters, and others. The course is aimed at future entrepreneurs, corporate innovators, and those managing new innovation.

This course focuses on the basics of effective negotiation. Students will learn fundamental negotiation terminology, distributive negotiation tactics, techniques for capturing value, cooperative tacit negotiation, logrolling, dispute resolution, and threat management. Through a series of simulated negotiations in which negotiation partners students have asynchronous information, students will be able to explore the strategy options that work best for them and apply class principles in a low-risk practice environment.

This course further explores optimal negotiation strategies for students who have already completed the introductory negotiations course. Topics include multi-party negotiations, fair distributions, working with agents, mediation, negative ZOPA discovery, and auction strategy. Simulated negotiations and role-play exercises are again the primary learning vehicles in this hands-on, application-oriented course.

An overview of contemporary issues related to managing information systems within organizations. The course introduces major information technology concepts that managers face when using, developing and managing information systems for competitive advantage. Topics include information system organization, strategy, knowledge management, IT-based decision making and information systems security and control.

This course helps students develop the ability to transform data into clear, compelling narratives is a vital skill for business leaders. Through hands-on projects and case studies, this course equips students with the techniques and framework needed to create impactful data visualizations to tell stories that drive informed decision-making.

This course provides students with the tools and techniques needed to forecast future outcomes using historical data. The course topics include: Time series analysis and forecasting models to identify future outcomes; Predictive modeling techniques (regression, classification) that use historical data to predict future outcomes; and introduction to machine learning algorithms (decision trees, random forests) that can discover new insights.

This course teaches students to use optimization and decision models to recommend data-driven courses of action. The course topics include: Optimization techniques (linear programming, decision trees) to identify best solutions; Simulation techniques (Monte Carlo simulation) to explore potential relationships using hypothetical data; and Application of prescriptive analytics techniques (resource allocation, pricing, supply chain optimization) to recommend courses of action.

This course introduces students to a foundational understanding of project management principles, methodologies, and key frameworks. This course focuses on the "what" and "why" of project management.