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
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 |
INFO-GB.2114 | Introduction to Cybersecurity and Privacy Management |
INFO-GB.2134 | R Programming for Data |
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 Science 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.3162 | Emerging Technology and Business Innovation |
INFO-GB.3306 | Data Visualization |
INFO-GB.3310 | Social Media and Digital Marketing Analytics |
INFO-GB.3322 | Design and Development of Web and Mobile Applications |
INFO-GB.3333 | Practical Big Data |
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 |
MKTG-GB.2355 | Retail Strategy & Analytics |
OPMG-GB 2308 | Retail Operations & Supply Chain Management* |
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.3310 | Applications of Statistical Methods to Business, Politics and Policy |
STAT-GB.3321 | Introduction to Stochastic Processes |
*Students may count OPMG-GB 2308 Retail Operations & Supply Chain Management or OPMG-GB 2330 Retail Operations, not both.
For course descriptions, please see the Office of Records & Registration website.