Concentration

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

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203A Data Analysis for Managers

252 Managing for Operational Excellence

203B Forecasting and Managerial Research Methods

206 Decision Making and Management Science

207 Management Information Systems

234 Pricing

243 Customer Relationship Management

269 Business Intelligence Technologies Data Mining

282 Supply Chain Management

285 Time Series Analysis and Forecasting

287 Business Database & Database Marketing

293 Marketing Analytics

420 Advanced Optimization in a Python-based Modeling Language

421 Monte Carlo Simulation for Managerial Analysis

401 Introduction to Business Analytics

403 Organizational Effectiveness Workshop

411 Problem Structuring

421 Data Management

422 Big Data

423 Data Design and Representation

431 Data Visualization

441 Statistical Exploration and Reasoning

442 Advanced Statistics

443 Analytic Decision Making

452 Machine Learning

453 Application Domains

461 Practicum Initiation

462 Practicum Elaboration

463 Practicum Analysis

464 Practicum Implementation

435 Data Wrangling