This course combines three perspectives: inferential thinking, computational thinking, and real-world relevance. Financial decisions are increasingly data-driven, and require more than inferential thinking. Computational thinking and real-word considerations are also needed for finance professionals to function effectively. Students will utilize all three perspectives to make better financial decisions. The course teaches critical concepts and skills in computer programming (with Python) as well as statistical inference, in conjunction with hands-on analysis of financial datasets.

This course is designed to help students meet the demand for effective writing and speaking skills in the professional workplace. Topics include rhetorical considerations involving audience and purpose, writing style and tone, organizational strategies, research skills, evidence-based writing, and page design, along with assignments in professional correspondence, report writing, and public speaking and visual aids. This course satisfies the University's junior year writing requirement.

This course is designed to help students meet the demand for effective writing and speaking skills in the professional workplace. Topics include rhetorical considerations involving audience and purpose, writing style and tone, organizational strategies, research skills, evidence-based writing, and page design, along with assignments in professional correspondence, report writing, and public speaking and visual aids. This course satisfies the University's junior year writing requirement.

This course is designed to help students meet the demand for effective writing and speaking skills in the professional workplace. Topics include rhetorical considerations involving audience and purpose, writing style and tone, organizational strategies, research skills, evidence-based writing, and page design, along with assignments in professional correspondence, report writing, and public speaking and visual aids. This course satisfies the University's junior year writing requirement.

This course provides an introduction to topics in managerial data mining, and related data retrieval and manipulation content. Models in regression, clustering, neural nets, classification, and association rule mining are applied to business data sets. In this managerially-focused course, students will learn how to use such models and interpret output. Students will also be introduced to a programming language for extraction and manipulation of data. Experiential exercises will be assigned using leading industry applications.

This graduate course provides comprehensive coverage of project management, focusing on the methods and competencies needed to effectively manage projects. Upon successful completion of this course, students will be able to understand different project management techniques, terminology and trends; define project success measures and methods; improve quality, cost and efficiency with the project management process; and gain basic competency using project management software.

This course provides an executive viewpoint of marketing concepts, such as branding and segmentation, for strategic and organizational decision-making. There is an emphasis on tools available for analysis and control of marketing activities, including the use of new media. Topics also include industrial life cycles, customer experience, and pricing strategy.

This course provides an overview of statistical analysis and inference. The language and methods of statistics are used throughout the MBA curriculum, both in the classroom and in assigned readings. In addition, the language and methods of statistical analysis have permeated much of academic and professional writing as well as media reporting, both inside and beyond the business community. The goal is to present a broad introduction to statistical thinking, concepts, methods, and vocabulary. The course has an emphasis on business applications.

This is a "high elevation" course covering a wide range of issues regarding financial markets. The short duration of the course will make this coverage summary in nature, but will not prohibit you from learning much about the financial world, and financial markets.

In this course students will learn to prepare and interpret the three major components of the corporate annual report: the Balance Sheet, the Income Statement, and the Statement of Cash Flows. The underlying accounting model that produces these statements will be critically reviewed; both its strengths and limitations will be evaluated. Additionally the role of popular ratios in forecasting firm profitability, risk, and liquidity are considered. Student will gain this knowledge through homework assignments, discussion questions, and an integrative case analysis.