Analytics and Information Management MBA Curriculum & Course Descriptions
The information presented on this page applies to students in the Traditional Full-Time MBA program as well as students in the the Flex MBA program (who started in Spring 2009 or later). It is meant to serve as an overview and not as a replacement for meeting with an advisor.
(Click here to jump straight to the Course Descriptions below.)
Curriculum
This concentration requires students take at least 15 credits beyond the MBA core, foundation, and integrative courses.
Data Analysis & Decision Making (22:960:575) is part of the MBA foundation and it is recommended students take that course as a pre-requisite 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 + 3 credits from Area 2)
| Course # | Title | Credits |
|---|---|---|
| 22:010:609 | Advanced Design and Development of Information Systems | 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 | 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 |
Area 2: Predictive Analytics
(Take 9 credits from Area 1 + 3 credits from Area 1)
| Course # | Title | Credits |
|---|---|---|
| 22:960:641 | Analytics for Business Intelligence* | 3 |
| 22:960:xxx | Business Forecasting | 3 |
| 22:960:646 | Data Analytics & Visualization | 3 |
| 16:960:588 | Data Mining for Finance* | 3 |
| 22:711:xxx | Decision Analysis | 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.
22:010:609 - (3 cr)
Advanced Design and Development of Information Systems
Examines management's need for advanced information technology in an organization, focusing on the systems and technology that are developed to supply this information. Does not primarily focus on the technical aspects of data processing and computer operations, though these topics will be discussed largely in the context of case examples. Thus, the emphasis is on the management of systems development rather than on specific tools and techniques. Students taking this course are expected to gain survey level knowledge of advanced technological tools of managerial information and the ways these tools can be used.
Prerequisite: Design and Development of Information Systems (22:010:604)
22:799:659 - (3 cr)
Supply Chain Solutions with ERP/SAP I
Provides a technical overview of Enterprise Resource Planning Systems and their role within an organization. It introduces key concepts of integrated information systems and explains why such systems are valuable to businesses. SAP ECC is introduced to illustrate the concepts, fundamentals, framework, general information, technology context, technological infrastructure, and integration of enterprise-wide business applications. In addition to lectures, students will be guided through several hands-on activities of various business processes in SAP ECC. The objective of this course is to help students: 1) master the basic concepts, architecture and terminology of an ERP system; 2) understand the need and examine the capabilities of ERP systems; and 3) illustrate how integrated information systems can help a company prosper.
22:799:660 - (3 cr)
Supply Chain Solutions with ERP/SAP II
This course focuses on SAP's ERP and SCM solutions, as well as their major applications in supply chain management, which not only enable the supply chain visibility, but also support the decision making. The activities that lead to the integration of information and material flows across organizations are discussed. This course will also examine and apply techniques used in SAP ECC and SAP SCM for system configuration and integration with a focus on logistics and finance. The objective of this course is to help students: 1) be able to make reasonable decisions for supply chain management problems using certain decision-support systems; 2) be aware of supply chain practices; 3) identify the business process view of an organization through the process of configuring SAP ECC and SCM systems.
Prerequisite: Supply Chain Solutions with ERP/SAP I (22:799:659)
Traditional Full-Time MBA students:
Flex MBA students:
