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:
  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: Yannis Bakos,

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
FINC-GB.3324 Digital Currency, Blockchains & the Future of the Financial Services Industry
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.2150 Decision Models
OPMG-GB.2308 Retail Operations & Supply Chain Management
OPMG-GB.2313 Operations in Entertainment: Las Vegas
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.2309 Mathematics of Investment
STAT-GB.3301 Introduction to the Theory of Probability
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.2114 Introduction to Cybersecurity and Privacy Management
TECH-GB.2134 R Programming for Data
TECH-GB.2135  Programming in Python
TECH-GB.2146 Databases for Business Analytics
TECH-GB.2147 Databases for Business Analytics*
TECH-GB.2148 Dealing with Data
TECH-GB.2318 Digital Strategy
TECH-GB.2335 Programming in Python and Fundamentals of Software Development
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.3162 Emerging Technology and Business Innovation
TECH-GB.3306 Data Visualization
TECH-GB.3310 Digital Marketing Analytics
TECH-GB.3322 Design and Development of Web and Mobile Applications
TECH-GB.3333 Practical Big Data 
TECH-GB.3336** Data Science for Business Analytics - Managerial
TECH-GB.3347 Fundamentals of Digital Marketing Technologies
TECH-GB.3350 Financial Information Systems
TECH-GB.3351 Risk Management in IT
TECH-GB.3362 Emerging Technology and Business Innovation

*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.