Management, Risk and Analytics

Units: 1

Business cases and problems where data analysis is part of the decision-making process. Applications to finance, management, marketing, and operations. Proficiency in Excel methods commonly used in management. Completion of a project where students follow a business problem from formulation to solution using data analysis. Restricted to MBA students.

Offered in Fall Spring Summer

Units: 1

Continuation of a series of business cases and problems where data analysis is part of the decision making process. Estimation of linear relationships among variables, with applications to finance, management, marketing, and operations. Proficiency with Excel methods commonly used for estimation. Completion of a project where students follow a business problem from formulation to solution using the methods covered the course. Restricted to MBA students.

Offered in Fall and Spring

Units: 3

Structured framework for modeling and analyzing business decisions in the presence of uncertainty and complex interactions among decision parameters. Topics include decision models, value of information and control, risk attitude, spreadsheet applications, and decision analysis cycle. Interactive case study.

Offered in Fall Spring Summer

Units: 3

This course is designed around the full analytics lifecycle which encompasses the business problem, the data, the analysis, and the decision. Students will learn to identify and clearly explain business problems that can be addressed with analytics. They will learn to determine which analytic methods are best suited to solve particular problems and clearly explain the results of an analytic model and how those results might impact the business bottom line. Analytical methods to be covered include data, visualization, a review of regression analysis; logistic regression; classification and regression trees [including boosting and bagging methodologies]; and clustering [segmentation] methods. Students will also develop at least a beginning proficiency with several statistical software packages including Tableau, JMP, R, and SAS Enterprise Miner. Emphasis will be placed on analyzing real data and understanding how analytical thinking can be applied to solve big data problems.

Offered in Fall and Spring

Units: 3

This course examines how to collect and process data to make it useful, how to validate, protect, and process data to make it available, and how to create a place to properly store data.

Offered in Fall and Summer

Units: 3

Integrated approach to managing the risks that can prevent an organization from achieving its objectives, both financial and non-financial. Core elements of an effective enterprise risk management process. Links to management strategy. Risk assessment methodologies.

Offered in Fall Only

Units: 3

Major themes and strategies of supply management relationships. The focus is on establishing a basis for collaborative relationships with suppliers through focused market intelligence research, relationship assessment and management, negotiation, collaborative contracting, and on-going management of relationships in global supply chains. Emphasis on the importance of collaboration through the application of practical tools and approaches that drive mutually beneficial outcomes. Core processes around initial exploration and assessment of supply chain relationships, establishing metrics/expectations for the relationship, crafting and managing contracts, and sustaining continuous performance improvement in sourcing, logistics and operations. Every student will participate in a team-based supply chain project with an organization and will learn the team-based, deadline-driven nature of supply chain initiatives in a real-company setting.

Offered in Fall Only

Units: 1

This course explores how forecasting and scenario planning are used to support management's decision making. The course focuses on how data analysis techniques and tools are useful for organizing and categorizing large volumes of information for use by executives to make strategic business decisions and it exposes students to Monte Carlo Simulation and Optimization techniques to support strategic business decisions. The course then focuses on communicating this information to inform management and the board about top strategic risk issues.

Offered in Fall and Spring

Units: 1

This course provides an introduction as well as hands-on experience in data visualization. It introduces students to design principles for creating meaningful displays of quantitative and qualitative data to facilitate managerial decision-making. Students develop an understanding of the fundamentals of communication and alignment around concepts that are required for effective data presentation and it provides an overview and develop an introductory level of competency on the use of the Tableau software tool that can be used for data visualization.

Offered in Fall and Spring

Units: 3

This course provides an opportunity to learn and apply various data analytics techniques to a business case to support management's decision making. This course utilizes analytics tools and technology in an advisory context. Specifically, you will be learning and using Excel, Access and PowerBI tools, as well as Word to summarize your analysis. Soft skills are essential in today's environment. This course also helps to strengthen these skills including written communication [formal and informal], critical thinking and data analytics.

Offered in Fall Spring Summer

Units: 3

Applied approach to managing the risks that can prevent an organization from achieving its objectives, both financial and nonfinancial, by working in teams to address real problems in real organizations.

Offered in Spring Only

Units: 3

This course focuses on solving a real-world business problem that includes a heavy data analytic component. The business problem will vary according to the client but could include problems from finance, human resources, marketing, finance, supply chain, or other management areas.

Offered in Fall and Spring