Curriculum
This concentration requires students take at least 15 credits beyond the M.B.A. core, foundation, and integrative courses.
Data Analysis and Decision Making (22:960:575) is part of the M.B.A. foundation and students are required to take that course as a prerequisite to this concentration.
Students must take the required course plus only one of the following
two options: take 9 credits from Area 1 and 3 credits from Area 2 OR take 3 credits from Area 1 and 9 credits from Area 2.
Required Courses
(3 credits)
Business Data Management (22:198:603) is the required course for this concentration.
Area 1: Information Technology
(Take 9 credits from Area 1 and 3 credits from Area 2)
22:010:609 Advanced Design and Development of Information Systems (3)
22:198:660 Business Analytics Programming (3)
22:198:604 Computers and Information Systems (3)
16:198:513 Designs/Analysis of Data Structure and Algorithms (3)
26:198:643 Information Security (3)
22:835:504 Information Technology in the Digital Era (4)
16:198:563 Machine Learning (3)
28:839:614 Object-Oriented Programming I (3)
28:839:615 Object-Oriented Programming II (3)
22:799:659 Supply Chain Solutions with ERP/SAP I (3)
22:799:660 Supply Chain Solutions with ERP/SAP II (3)
Area 2: Analytics
(Take 9 credits from Area 2 and 3 credits from Area 1)
22:960:641 Analytics for Business Intelligence (3)*
22:198:660 Business Analytics Programming (3)
22:960:608 Business Forecasting (3)
22:960:646 Data Analysis and Visualization (3)
16:960:588 Data Mining for Finance (3)*
22:960:575 Data Analysis and Decision Making (3)
22:960:607 Dynamic Pricing and Revenue Management (3)
26:960:576 Financial Time Series (3)
16:960:586 Interpretation of Data (3)
16:960:576 Survey Sampling (3)
16:540:580 Quality Management (3)
*Note: Students can select either Analytics for Business Intelligence (22:960:641) or Data Mining for Finance (16:960:588), but not both.
