This course covers essential concepts and methods to foster data-driven decision-making to motivate business insight and innovation. Lessons cover topics in big data, algorithmic thinking, machine learning, data visualization, and communication. Projects spanning several weeks focus on business problems that can be solved through the application of cutting-edge Data Science techniques. Students develop proficiencies in the use of Python, R, and Tableau by completing regular exercises and projects using real data. No prior programming experience is expected.

This course teaches students how to maximize spreadsheets as a data management tool using advanced functions and formulas. Students will learn how to efficiently manipulate, format, and automate data, and use spreadsheets to build customized reports, dashboards, amazing charts, pivot tables and macros. This course is applicable to all business disciplines. Prerequisites: basic spreadsheet knowledge.

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.

Overview of human resource management theory and practice in organizations. Legal framework; job design; recruitment, selection, performance appraisal, and separation; compensation; benefits; contemporary issues in HRM.

Provides an overview of different perspectives and approaches to leadership practice and related organizational behavior topics. Relying on a participative multi-learning approach, the course goes beyond traditional leadership practices to examine empowering leadership approaches for addressing contemporary organizational behavior challenges such as leading teams. The overall objective is to increase students' understanding of and ability to apply contemporary leadership and organizational behavior knowledge in work situations.

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.

Students will have to opportunity to develop their tax research skills through practical exercises. The class will expose students to primary sources, including the Internal Revenue Code, Internal Revenue Service (IRS) regulations and the FASB Codification through the use of sample case studies and the use of research and practice tools used by many tax practitioners. Students will also learn how to communicate the results of their tax research through various methods used by professionals. Current tax developments will be addressed in the class as well.

This course provides an introduction as well as hands-on experience in data visualization. Students will learn how to leverage data visualization for exploration and analysis. Students will be introduced to design principles for creating meaningful displays of quantitative and qualitative data to facilitate managerial decision-making. We will explore storytelling through a variety of mediums, including presentations and dashboards.

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 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.