Business Analytics Specialization

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

Take 9 credits from the following list: 

ECON-GB.3351	Econometrics I
INFO-GB.2135	Programming in Python
INFO-GB.2318	Digital Strategy
INFO-GB.2335	Programming in Python and Fundamentals of Software Development
INFO-GB 2336	Data Mining for Business Analytics - Technical
INFO-GB.2346	Dealing with Data
INFO-GB.2350	Robo Advisors and Systematic Trading
INFO-GB 3106	Data Visualization
INFO-GB.3306	Data Visualization
INFO-GB.3310	Social Media and Digital Marketing Analytics
INFO-GB.3336	Data Mining for Business Analytics - Managerial
INFO-GB.3339	Being Digital: Search, Social Media and Crowdsourcing
INFO-GB.3347	Fundamentals of Digital Marketing Technologies
INFO-GB.3350	Financial Information Systems
INFO-GB.3351	Risk Management in IT
INFO-GB.3359	Practical Data Science
INTA-GB.2312	FinTech Risk Management
MKTG-GB.2327	Research for Customer Insights
MKTG-GB.2344	Data Driven Decision Making: Managerial
MKTG-GB.2354	Data Driven Decision Making: Technical
OPMG-GB.2310	Managing for Quality
OPMG-GB.2330	Retail Operations
OPMG-GB.2350	Decision Models and Analytics
OPMG-GB.2351	Decision Making Under Uncertainty
OPMG-GB 2354	Decision Analytics for Sports
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.