Business Analytics Specialization
(Formerly Data, Models & Decisions)
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:
- A financial analyst may want to predict returns on a stock or index based on historical data.
- A production engineer may want to predict the time it takes to complete a given task in terms of characteristics of that task.
- A media buyer may want to measure the impact of advertising and other variables on sales.
Academic Advisor: Professor Norman White, 212-998-0842
Take 9 credits from the following list:
|INFO-GB 2336||Introduction to Data Science for Business Analytics|
|INFO-GB.2346||Dealing with Data|
|INFO-GB.2350||Trading Strategies and Systems|
|INFO-GB.3310||Social Media and Digital Marketing Analytics|
|INFO-GB.3336||Data Mining for Business Analytics|
|INFO-GB.3339||Being Digital: Search, Social Media and Crowdsourcing|
|INFO-GB.3350||Financial Information Systems|
|INFO-GB.3351||Risk Management Systems|
|INFO-GB.3359||Practical Data Science|
|MKTG-GB.2327||Research for Customer Insights|
|MKTG-GB.2354||Data Driven Decision Making|
|OPMG-GB.2310||Managing for Quality|
|OPMG-GB.2350||Decision Models and Analytics|
|OPMG-GB.2351||Decision Making Under Uncertainty|
|OPMG-GB.3330||Revenue Management and Pricing|
|STAT-GB.2301||Regression and Multivariate Data Analysis|
|STAT-GB.2302||Forecasting Time Series Data|
|STAT-GB.2308||Applied Stochastic Processes for Financial Models|
|STAT-GB.2309||Mathematics of Investment|
|STAT-GB.3127||Statistical Aspects of Market Risk|
|STAT-GB.3301||Introduction to the Theory of Probability|
|STAT-GB.3302||Statistical Inference and Regression Analysis|
|STAT-GB.3306||Time Series Analysis|
|STAT-GB.3321||Introduction to Stochastic Processes|
For course descriptions, please see the Office of Records & Registration website.