Analytics and Information Management (AIM) MBA Curriculum
Credit totals may vary per group depending on the courses taken.
Speak with an advisor for questions related to degree completeness.
This concentration is comprised of 5 courses (15 credits).
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.
Foundation Course Requirement: Data Analysis and Decision Making (22:960:575; 3 credits) is part of the MBA Curriculum and is a required prerequisite for all students who choose this concentration.
|22:198:603||Business Data Management||3|
Electives Area 1: Information Technology
(Choose 3 courses from Area 1 + 1 course 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|
|22:835:504||Information Technology in the Digital Era||4|
|22:198:670||Information Technology Strategy||3|
|22:839:614||Object Oriented Programming I||3|
|22:839:615||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|
Electives Area 2: Analytics
(Choose 3 courses from Area 2 + 1 course from Area 1)
|22:960:641||Analytics for Business Intelligence*||3|
|22:198:xxx||Business Analytics Programming||3|
|16:960:588||Data Mining for Finance*||3|
|22:960:607||Dynamic Pricing and Revenue Management||3|
|26:960:576||Financial Time Series||3|
|16:960:586||Interpretation of Data||3|
*Note: Students can select either Analytics for Business Intelligence (22:960:641) or Data Mining for Finance (16:960:588) but not both.