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Academic Affairs

Business Analytics (formerly Data, Models & Decisions) Specialization Description

The Business Analytics specialization deals with the use of data and mathematical and statistical models as a means for aiding the decision process in all of the functional areas of business.  The use of data and models  has become very important in business because of the volume of data available as a result of the internet and the increasing number and sophistication of electronic touch points among people and business and government entities.   The use of computer and information technology plays an important part in this specialization. 
A specialization in Business Analytics enables the student to understand and use different mathematical and statistical models to apply to their own area of interest.  As examples:
  1. A financial analyst may want to predict returns on a stock or index based on historical data.
  2. A production engineer may want to predict the time it takes to complete a given task in terms of characteristics of that task.
  3. A media buyer may want to measure the impact of advertising and other variables on sales.
A specialization in Business Analytics allows students to choose from a menu consisting of a wide variety of relevant courses in statistics, operations, information technology, and marketing, according to their area of interest and career path.  The skills learned in these specializations would help them be more effective in their careers as Financial Analysts, Consultants, and Marketing Research experts.

Academic Advisor: Professor Norman White, 212-998-0842

Course List

ECON-GB.3351 (B30.3351) Econometrics I
INFO-GB.2318 (B20.2318) Digital Strategy
INFO-GB.2346 (B20.2346) Dealing with Data
INFO-GB.2350 (B20.2350) Trading Strategies and Systems
INFO-GB.3306 (B20.3306) Data Visualization
INFO-GB.3310 (B20.3310) Social and Digital Media Analytics
INFO-GB.3336 (B20.3336) Data Mining for Business Intelligence
INFO-GB.3339 (B20.3339) Being Digital: Search, Social Media and Crowdsourcing
INFO-GB.3350 (B20.3350) Financial Information Systems
INFO-GB.3351 (B20.3351) Risk Management Systems
INFO-GB.3359 (B20.3359) Practical Data Science
MKTG-GB.2327 (B70.2327) Customer Insights
MKTG-GB.2354 (B70.2354) Social Media and Digital Marketing Analytics
OPMG-GB.2310 (B60.2310) Managing for Quality
OPMG-GB.2325 (B60.2325) Introduction to Operations Research
OPMG-GB.2330 (B60.2330) Retail Operations
OPMG-GB.2350 (B60.2350) Decision Models
OPMG-GB.2351 (B60.2351) Advanced Decision Models
OPMG-GB.3330 (B60.3330) Revenue Management and Pricing
STAT-GB.2301 (B90.2301) Regression and Multivariate Data Analysis
STAT-GB.2302 (B90.2302) The Forecasting of Time Series Data
STAT-GB.2308 (B90.2308) Applied Stochastic Processes for Financial Models
STAT-GB.2309 (B90.2309) Mathematics of Investment
STAT-GB.3127 (B90.3127) Statistical Aspects of Market Risk
STAT-GB.3301 (B90.3301) Introduction to Probability Theory
STAT-GB.3302 (B90.3302) Statistical Inference and Regression Analysis
STAT-GB.3306 (B90.3306) Time Series Analysis
STAT-GB.3321 (B90.3321) Introduction to Stochastic Processes

 

For course descriptions, please see the Office of Records & Registration website.