Data Analytics and Business

A total of sixty-four (64) credits as follows:

Required data analytics courses (32 credits):

• COMP 141: Programming Fundamentals
• DATA 242: Program Design and Data Structures for Data Analytics or COMP 241: Data Structures and Algorithms
• DATA 244/MATH 244: Introduction to Data Analytics and Visualization
• DATA 344/COMP 344/MATH 344: Advanced Methods in Data Analytics
• MATH 115, 116, or 122 (a calculus course)
• MATH 211 or ECON 290 or PSYC 211 (an introductory statistics course)
• MATH 212: Regression or ECON 420: Econometrics
• DATA 486 (4 credits): Data Analytics Senior Seminar

Required business courses (24 credits):

• ECON 100: Introduction to Economics
• BUS 241: Financial Accounting
• BUS 340: Managerial and Cost Accounting
• BUS 351: Corporate Finance
• BUS 361: Management of Organizations
• BUS 371: Marketing Strategy

One course in ethics from the following list (4 credits):

• PHIL 320: The Ethics of Artificial Intelligence
• BUS 481: Business Ethics and Social Responsibility

One Data Analytics or Business elective, chosen from the following (4 credits):

• COMP 345: Data Mining
• COMP 340: Databases
• COMP 375: Machine Learning
• ECON 412: Data Analysis and Management
• ECON 440: Advanced Econometrics
• MATH 307: Bayesian Statistical Analysis
• MATH 333: Time Series and Forecasting
• MATH 335: Stochastic Processes
• BUS 450: Accounting Analytics and Systems
• BUS 454: Investments/Financial Analytics
• BUS 467: Diversity, Equity and Inclusion (DEI) through HR Analytics
• BUS 472: Marketing Analytics