This course counts toward the following majors: Decision Sciences, Managerial Analytics, and Operations

The Analytics Consulting Lab is a practicum for students interested in developing deep skills in analytics. In this course, students apply classroom concepts and techniques to a real-world analytical task in which they use data to support a managerial decision. Working in a group, students will call upon techniques and theories such as statistics, multivariate regression, optimization, stochastic simulation, decision tree analysis, time series analysis, forecasting, real options, risk analysis, data mining, and discrete event simulation. The projects, pre-approved by faculty, will touch many industries and aspects of business management. A second MEDS course that supports the project is also required. Note: This course may not be dropped after the first week of the quarter.

Analytics Consulting Lab (ACL) (DECS-915-A)

This course counts toward the following majors: Decision Sciences, Analytical Consulting, and Operations

The Analytics Consulting Lab is a practicum for students interested in developing deep skills in analytics. In this course, students apply classroom concepts and techniques to a real-world analytical task in which they use data to support a managerial decision. Working in a group, students will call upon techniques and theories such as statistics, multivariate regression, optimization, stochastic simulation, decision tree analysis, time series analysis, forecasting, real options, risk analysis, data mining, and discrete event simulation. The projects, pre-approved by faculty, will touch many industries and aspects of business management. A second MEDS course that supports the project is also required.

Analytics Consulting Lab (ACL) (DECS-915-B)

This course counts toward the following majors: Decision Sciences, Analytical Consulting, and Operations

The Analytics Consulting Lab is a practicum for students interested in developing deep skills in analytics. In this course, students apply classroom concepts and techniques to a real-world analytical task in which they use data to support a managerial decision. Working in a group, students will call upon techniques and theories such as statistics, multivariate regression, optimization, stochastic simulation, decision tree analysis, time series analysis, forecasting, real options, risk analysis, data mining, and discrete event simulation. The projects, pre-approved by faculty, will touch many industries and aspects of business management. A second MEDS course that supports the project is also required.

Global Lab (G-Lab) (INTL-915-0)

This course counts toward the following majors: International Business.

This experiential learning course provides a hands-on opportunity for students to apply classroom knowledge to a real-world problem. In the Global Lab course, four or five students complete an international consulting project for a host company during the winter quarter that culminates in two weeks of on-site research and presentation to senior management. The host company and student team work together to determine the project's scope and parameters, and the team completes each week's research by meeting with an expert faculty adviser. The host company provides feedback that is used in grading students and covers travel expenses for the on-site visit. Students must have completed all core courses with the exception of OPNS-430 which can be taken concurrently in the Winter quarter. For practical purposes, this limits enrollment to students in their second year of the full-time program and those in the one-year program. Part-time program students who have fulfilled their core requirements are also eligible to take the course. Note: This course may not be dropped after the first week of the quarter.

Strategic Data-Driven Marketing (MKTG-952-0)

This course counts toward the following majors: Technology Industry Management.

In today’s environment, Chief Marketing Officers require tools and techniques to both quantify the strategic value of marketing initiatives, and to maximize marketing campaign performance. This course is designed to help marketers demonstrate the return on investment (ROI) of marketing and leverage data from marketing analytics to make better and more informed marketing management decisions. The course covers marketing performance management, marketing measurement, marketing ROI, customer value based segmentation, customer lifecycle management, internet search engine marketing optimization, data mining segmentation, analytic marketing, and strategic marketing data creation. Students are introduced to typical data mining techniques for marketing, have access to real data sources, and will conduct hands-on marketing analysis using data mining tools. This class counts towards the Marketing and Marketing Management major.

Analytical Decision Modeling (OPNS-450-0)

This course counts toward the following majors: Decision Sciences, Managerial Analytics, Operations.

This course focuses on structuring, analyzing and solving managerial decision problems on Excel spreadsheets. We address problems of resource allocation (how to use available resources optimally), risk analysis (how to simulate the effects of uncertainty in problem parameters), decision analysis (how to analyze sequential decisions involving uncertainty), data analysis (how to synthesize the available data into useful information) and forecasting (how to extrapolate past observations into the future). In each area, we pose specific problems from operations, finance and marketing, structure them on Excel spreadsheets, and analyze and solve them using the available Excel commands, tools and add-ins. The course involves a hands-on, in-class learning experience in modeling and analyzing a variety of business decision problems on a common spreadsheet platform. It should, therefore, enhance one's problem-solving capabilities as well as spreadsheet skills. A good working knowledge of Microsoft Excel is required. Prerequisites: OPNS-430 and FINC-430/FINC-440. May be taken concurrently.

Enterprise Technology Management (Formerly TECH-442-0) (OPNS-458-0)
This course gives managers essential skills for executive oversight of enterprise technology, which is a significant component of practically all business initiatives. Topics covered include return on investment for e-business projects, enterprise resource planning deployment best practices, customer relationship management, enterprise data warehousing, analytic marketing, strategic outsourcing, project and program management, risk management, and strategic alignment of information technology through IT portfolio management. Lectures are complemented by real-life case discussions of strategic and management issues for enterprise technology and include cases on leading technology companies such as Google, Cisco, Microsoft, Oracle and Salesforce.com.

Enterprise Risk Management (OPNS-923-0)

This course counts toward the following majors: Operations, Managerial Analytics

In Enterprise Risk Management, we develop a holistic approach to the identification and management of risks facing an organization. Typically recognized forms of risk, such as Operational Risk, Credit Risk and Market Risk are explored in detail. The impact of shocks to enterprises and the role of liquidity risk and the importance of protecting against it are reviewed. The role of operational risks, such as those a rising from reliance on complex systems, outsourcers, international supply chains, lean processes, and external shocks pose perhaps the greatest risk to firms in the post-globalization era and are reviewed accordingly. This course provides frameworks for identifying, quantifying, and managing risks to the overall enterprise and offers direction on the formulation of a successful risk office and its appropriate integration with corporate strategy.