Approved Undergraduate Courses:
ACCT2700 (a,c): Predictive Analytics Using Financial Disclosures
BEPP2800 (a): Applied Data Analysis
BIOL4470 (a): Biological Data Analysis
CIS3990: The Science of Data Ethics
†CIS4190/5190 (a): Applied Machine Learning
CIS4500 (c): Database and Information Systems
†CIS5200 (a): Machine Learning
CIS5450 (a,c): Big Data Analytics
COMM3130 (a,c): Computational Text Analysis for Communication Research
ESE3010: Engineering Probability
ESE3050 (a): Foundations of Data Science
ESE3060 (a, o): Deep Learning: A Hands-on Introduction
ESE4020/5420 (a): Statistics for Data Science
EST5030 (o): Simulations, Modeling, and Analysis
ESE5040 (o): Introduction to Linear, Nonlinear and Integer Optimization
ESE5060 (o): Introduction to Optimization Theory
FNCE2050 (o): Investment Management
FNCE2170 (a,o): Financial Derivatives
FNCE2370 (a,c): Data Science for Finance
FNCE2800 (a): Fin-Tech
HCMG3570 (a,c): Health Care Data and Analytics
LGST2420: Big Data, Big Responsibilities: The Law and Ethics of Business Analytics
MGMT2930 (a,c): People Analytics
MKTG2120 (a): Data and Analysis for Marketing Decisions
MKTG2710 (a): Models for Marketing Strategy
MKTG3090 (a,c): Experiments for Business Decision Making
MKTG3520 (a,c): Marketing Analytics
MKTG4760 (a): Applied Probability Models in Marketing
OIDD1050 (c): Developing Tools for Data Access and Analysis
OIDD2010X (o): Technology, Online Business Model Innovation, and Valuation
OIDD2150 (a,c): Intro to Analytics and the Digital Economy
OIDD2200 (a,o) Introduction to Operations Management
OIDD2240 (o): Analytics for Service Operations
OIDD2360 (o): Scaling Technology Ventures: Aligning Operations with Strategy
OIDD2450 (a,c,o): Analytics and the Digital Economy
OIDD2550 (a,c): AI, Data, and Society
OIDD3110 (c): Business Computer Languages
OIDD3140 (a,c): Enabling Technologies
OIDD3150 (a,c): Databases for Analytics
OIDD3190: (a,c): Advanced Decision Systems
OIDD3210 (o): Management Science
OIDD3250 (a,c,o): Thinking with Models
OIDD3530 (o): Mathematical Models in Finance
OIDD3800: Operations Strategy Practicum
OIDD4100 (a): Data Mining for Business Intelligence
OIDD4690 (a,c): Advanced Information Strategy and Economics
OIDD5250 (a,c,o): Thinking with Models: Business Analytics for Energy and Sustainability
REAL3700 (a,c): Real Estate Data Analytics
STAT4050 (a,c): Statistical Computing with R (0.5 CU course)
STAT4100 (c): Data Collection and Acquisition: Strategies and Platforms (0.5 CU course)
STAT4220 (a,c): Predictive Analytics (0.5 CU course)
STAT4230 (a): Applied Machine Learning in Business
STAT4300: Probability
STAT4310 (a): Statistical Inference
STAT4330: Stochastic Processes
STAT4350 (a,c): Forecasting Methods for Management (STAT 435 will not be offered in Fall 2022.)
STAT4420 (a): Introduction to Bayesian Data Analysis
STAT4700 (a,c): Data Analytics and Statistical Computing
STAT4710 (a,c): Modern Data Mining
STAT4740 (a): Modern Regression for the Social, Behavioral and Biological Sciences
STAT4750 (a,c): Sample Survey Design
STAT/OIDD4770 (a,c): Intro to Python for Data Science (0.5 CU course)
STAT5200 (a): Applied Econometrics I
