Analytics and Information Management (AIM) MBA Curriculum

Course and credit requirements have changed for current Part-Time MBA students (enrolled prior to Fall 2017) who have opted to switch to the new 54-credit curriculum. Please visit this page for a full breakdown of adjusted curriculum requirements for the 54-credit Part-Time MBA.

 

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.

 

Required Courses

Course # Title Cr
22:198:603 Business Data Management 3

 

Electives Area 1: Information Technology
(Choose 3 courses from Area 1 + 1 course from Area 2)

Course # Title Cr
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
22:198:670 Information Technology Strategy 3
16:198:563 Machine Learning 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)

Course # Title Cr
22:960:641 Analytics for Business Intelligence* 3
22:198:xxx Business Analytics Programming 3
22:960:608 Business Forecasting 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
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.

 

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