The purpose of this course is to introduce students to the area of corporate finance and investments. Students will learn about the basic concerns and responsibilities of financial managers, and gain an appreciation of the methods of analysis employed by them. Students will learn both theory and practice of corporate finance and investments.

Examines issues associated with the globalization of business. Topics include international business and multinational strategy, major influences in developing accounting standards, comparative accounting practices, harmonization of international accounting standards, consolidated financial statements involving foreign subsidiaries, financial statement analysis involving foreign companies, and management, auditing, and tax issues in a global environment. Prerequisite: Accountg 322 or equivalent.

Not available at this time

This course aims to provide an overview of the methodological toolkit available to empirical researchers who are interested in making causal inference using quasi-experimental data. In marketing, randomized experimentation represents the gold standard for making causal inference using empirical data. In an ideal setting, we would randomly assign participants to different groups to receive varying types or levels of treatment. Nonetheless, there are many marketing-relevant settings where researchers do not have access to experimental data, or where running such experiments is too expensive or infeasible. Additionally, ethical considerations frequently preclude randomly assigning treatments, such as instances where it could lead to harm or deprive participants of necessary care, as in the case of life-saving treatments or medications. When randomization of treatment is not possible, one may have to rely on enhanced "statistical rigor" to compensate for the deficiencies in "design rigor."

This course provides real-world experience for pre-approved MSBA students. Students will transform data into actionable insights for strategic and/or operational decision-making and will refine skills gained in graduate coursework through team-based, real-world projects. Emphasis is placed on interpreting analytical results within organizational contexts and communicating findings effectively to stakeholders. Students will apply advanced tools and methodologies to solve complex business challenges.

Capstone course requiring application of knowledge and techniques derived from previous courses. Course presents strategic management theories and frameworks, uses integrative cases, and leverages empirical observations to guide students in the formulation of successful firm-level strategies.

This course introduces fundamental concepts and computations for statistical analysis of business data and real-world problems with an emphasis on understanding and interpreting statistical information, and using it to form sound judgments in business situations. The course covers basic descriptive statistical methods, sampling methodology, how to draw inferences from samples to larger populations and how to make predictions based upon historical relationships between variables. Theoretical background in descriptive and inferential statistical methods will be used support knowledge of the appropriate statistical test to perform in a given situation. The statistical methods that are covered in the course equip the student with the analytic reasoning and quantitative arguments that applies to all areas of business and management.