General information

Business Analytics and Technologies
Concentration Information

Today’s businesses operate on a glut of data. In the last 15 years, due to modern information technologies – the Internet, ubiquitous networking, digitized data collection technologies, web logs, wireless sensors, miniaturized devices – organizations collect, store and transport massive amounts of data about customers, inventories, business operations, product performance, prices, sales, advertising campaigns, employees, supply chain, and so on.How can organizations create business value from this glut of data?It requires managerial talent that combines business savvy, needed to identify business value opportunities or recognize problems, with a solid understanding of analytical methods needed to link the technical talent and functional managers who can implement business change.

The Business Analytics and Technologies concentration aims to develop this managerial talent through a series of courses that cover methods for critical and analytical thinking, information technologies and tools for implementing these methods, and business applications that heavily employ these methods and technologies. Departing from the old approach of being the “quant skills” component of MBA education, this area is designed around a critical balance between general analytical thinking, technology, and applications. The design of the concentration is guided by a Business Advisory Board, comprising leading industry executives who are substantially invested in business applications of analytical methods and technologies. The Board will also facilitate the educational component (e.g., by providing practical problems for class projects) and knowledge transfer through student internships and career placement.

Possible Career Paths

  • Market or Strategic Research
  • Data Management and Analysis
  • Consulting
  • Knowledge Management

Suggested Courses

Elective

206 Decision Making and Management Science

Considers management science for decision makers. Topics include an introduction to modeling and decision analysis, an introduction to optimization and linear programming, modeling and solving linear programming problems in a spread sheet, sensitivity analysis and the simplex method, networks, integer linear programming, project management and decision analysis.

Elective

203B Forecasting and Managerial Research Methods

Practical statistical methods for managerial decision making covers regression analysis, time series analysis and forecasting, design and analysis of experiments in managerial research and contingency table analysis. Application of these methods to marketing, finance, accounting, production, operations and public policy.

Prerequisite: 203A

Elective

285 Time Series Analysis and Forecasting

Helps managers face problems of forecasting the future value of external and internal factors such as product demand, input prices, inventory levels, interest rates, advertising budgets, etc. Covers techniques to aid in this task, including time series analysis, which is the statistical analysis of past data series to produce forecasts for future values of the series. Covers methods such as exponential smoothing, Box-Jenkins modeling, seasonal adjustment, decomposition, curve fitting and multiple regression.

Elective

207 Management Information Systems

Introduction to computer programming and data handling skills. Use of computer in organizations, emphasis on managerial aspects of computing. Standard and nonstandard uses of data files, centralization versus decentralization of computing, office automation, computer security. 

Elective

269 Business Intelligence Technologies Data Mining

Data is a key source of intelligence and competitive advantage for businesses. With the explosion of electronic data and the demand for better and faster decisions, the role of data driven intelligence is becoming central in organizations. Data mining is the process of converting the raw data into useful knowledge required to support decision-making. It automates the process of knowledge discovery, making us orders of magnitude more productive in our search for useful information than we would be otherwise. It also increases the confidence with which we can make business decisions.

Elective

234 Pricing

Combines lectures, cases and homework to teach students tools and skills necessary to analyze pricing situations, make pricing decisions, and implement them, in a systematic manner.

Prerequisites: 202A and 203B

Elective

243 Customer Relationship Management

Customer Relationship Management (CRM) is a management approach under which marketing activities are organized and measured around customers instead of brands. This approach benefits firms as customers and not brands make buying decisions. Applications of CRM range from creating better customer segments, understanding customer profitability to complete one-to-one marketing programs.

Elective

282 Supply Chain Management

Matching supply with demand is a primary challenge for a firm: excess supply is too costly, inadequate supply irritates customers. Matching supply to demand is easiest when a firm has a flexible supply process, but flexibility is generally expensive. In this course we will learn(1) how to assess the appropriate level of supply flexibility for a given industry and (2) explore strategies for economically increasing a firm’s supply flexibility. Lastly we will study coordination and incentives across multiple firms in a supply chain.

Commands

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News Release

UC Davis Graduate School of Management partners with Lawrence Livermore and Sandia National Labs to drive technologies from lab to market

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(Davis, Calif.) – With a joint goal of speeding the transfer of new technologies from the laboratory to the commercial marketplace, the UC Davis Graduate School of Management, Lawrence Livermore National Laboratory and Sandia National Laboratories have announced a new partnership for researchers to develop their entrepreneurial skills.

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(Davis, CA) — The UC Davis Graduate School of Management’s full-time MBA program has been ranked among the top six percent of AACSB International-accredited programs nationwide, according to U.S. News & World Report’s latest graduate business school rankings released today.