Fast-track MBA curriculum

Analysis of various business problems and situations and development of appropriate communications strategies.

Fundamentals of quantitative analysis to aid managerial decision-making under uncertainty.

Financial accounting concepts and procedures for external reporting.

Application of macroeconomic analysis to managerial decision-making in areas of demand.

Application of microeconomic analysis to managerial decision-making at the firm level in areas of supply and demand, production, cost and pricing. Evaluation of competitive strategies.

Theory and practice of financial decision-making, including risk analysis, valuation, capital, budgeting, cost of capital and working capital management.

Managing the marketing function; market and environmental analysis; marketing planning, strategy, and control concepts. Development and management of marketing programs.

Managerial accounting concepts and procedures for internal reporting.

Conceptual foundations of operational and logistic functions for all types of organizations. Application of analytical methods to production problems.

Study of ethical components of business decisions; the role of business in society.

Formulation of strategy and policy in the organization, emphasizing the integration of decisions in the functional areas.

To learn how to be more effective analytical leaders in a data-rich world, the focus of this course is on enabling students to be better at identifying opportunities created by data, including big data, and making strategic use of business analytics to dramatically improve business performance. The course presents frameworks and approaches to consume and interpret results obtained from data analytics; it also equips students to recognize patterns in data and models, recommend actions, and implement necessary organizational changes.

Readings and case studies utilized in this course address various decision-making situations and challenges facing managers in analytics-rich business environments. Students will get an immersive experience in the evidence-based decision-making process, the informational requirements of a diverse set of business processes, the performance measurement required to ensure effective deployment of analytical solutions, and the leadership needed for continuous renewal of a data analytics culture at the enterprise level.