Business Analytics Specialization
(Formerly Data, Models & Decisions)
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:
- 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.
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: Yannis Bakos, bakos@stern.nyu.edu
Course List
Take 9 credits from the following list:
| Course Number | Course Title |
| ACCT-GB.3328 | Financial Statement Analytics Using Python |
| ECON-GB.3351 | Econometrics I |
| FINC-GB.2328 | Real Estate Data Science, Artificial Intelligence, and Machine Learning |
| MKTG-GB.2344 | Data Driven Decision Making: Managerial |
| MKTG-GB.2354 | Data Driven Decision Making: Technical |
| MKTG-GB.2355 | Retail Strategy & Analytics |
| OPMG-GB.2150 | Decision Models & Analytics |
| OPMG-GB.2350 | Decision Models and Analytics |
| OPMG-GB.2351 | Decision Making Under Uncertainty |
| OPMG-GB 2354 | Decision Analytics for Sports |
| 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.3302 | Statistical Inference and Regression Analysis |
| STAT-GB.3310 | Applications of Statistical Methods to Business, Politics and Policy |
| STAT-GB.3321 | Introduction to Stochastic Processes |
| TECH-GB.2134 | R Programming for Data |
| TECH-GB.2146 | Databases for Business Analytics |
| TECH-GB.2147 | Databases for Business Analytics* |
| TECH-GB.2148 | Dealing with Data |
| TECH-GB.2336** | Data Science for Business Analytics - Technical |
| TECH-GB.2346 | Dealing with Data |
| TECH-GB.2350 | Robo Advisors and Systematic Trading |
| TECH-GB 3106 | Data Visualization |
| TECH-GB.3136 | Data Science and Predictive Analytics |
| TECH-GB.3306 | Data Visualization |
| TECH-GB.3310 | Digital Marketing Analytics |
| TECH-GB.3332 | Intro to AI & Its Implications in Business |
| TECH-GB.3336** | Data Science for Business Analytics - Managerial |
*Note: TECH-GB.2146 and TECH-GB.2147 are equivalent courses. If interested in this course, MBA Students should enroll in TECH-GB.2147
**Note: Not eligible to count towards this specialization if this course was taken as part of your core requirements (Full-Time two-year MBA students only).
For course descriptions, please see the Office of Records & Registration website.