Business Analytics and Technologies
Curriculum and Concentrations
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
- Knowledge Management
(Recommend 6 courses, including at least two from “Methods”, one from “Technology” and a Practicum.)
- 206 – Decision Making and Management Science
- 203B – Forecasting and Managerial Research Methods
- 285 – Time Series Analysis and Forecasting
- Game Theory (ECN 122)
- Applied Linear Programming (ARE 252) or
- Optimization (MAT 168)
- 207 - Management Information Systems
- 269 – Business Intelligence Technologies – Data Mining
- 234 – Pricing
- 243 – Customer Relationship Management
- 282 – Supply Chain Management
- 498 – Consulting Practicum (Project)
Advisory Board members will facilitate agenda development for the concentration and courses, student placement and internships, and provide a channel for class projects that apply the concepts taught in this area to real-world problems.
- Bassel Ojjeh, Yahoo! (Senior Vice-President, Strategic Data Solutions
- Sudeep Haldar, Kraft Foods (Global Analytics, Strategic Insights and Trends)
- Ram Lakshmanan, Citigroup
- Jim Oliver, eBay (Director of Analytics)