Analytics and Information Management Concentration (RBS)
Analytics and Information Management
The analytics and information management (AIM) M.B.A. concentration at Rutgers Business School provides skills to prepare students for careers in the major technical areas of management information systems. In particular, courses are offered in database systems, internet security, data mining, enterprise resource planning, accounting systems, and software engineering. Students are provided hands-on instruction with state-of-the-art software. This concentration is administered by the Department of Management Science and Information Systems, but technology-related courses in other departments may be used for the concentration.
The concentration introduces statistics as applied to managerial problems, emphasizing conceptual understanding as well as conducting statistical analyses. Students learn the limitations and potential of statistics, and gain hands-on experience using Excel, as well as comprehensive packages, such as R or SAS. Students are encouraged to take an analytic view of decision-making by formalizing trade-offs, specifying constraints, providing for uncertainty, and performing sensitivity analyses.
Courses of study provide students with an understanding of database technology and its application in managing data resources. Students analyze the conceptual, logical, and physical design of databases.
Concentration Requirements 12 Credits
Required Courses (3 Credits)*
Course # | Course Name | Credit(s) | STEM (Y/N) |
22:198:603 | Business Data Management | 3 | Y |
*22:960:575 | Data Analysis and Decision Making *Data Analysis and Decision Making is required for the completion of the Analytics and Information Management concentration. The credits are applied to the MBA Foundation course requirement. | 3 | Y |
Elective Courses(9 Credits)
Elective Area Name | Area 1 (# of credits) | Area 2 (# of credits) |
1. Information Technology | 6 | 3 |
2. Analytics | 3 | 6 |
Electives Area 1: Information Technology
Course # | Course Name | Credit(s) | STEM (Y/N) |
16:198:513 | Designs/Analysis of Data Structure and Algorithms | 3 | Y |
22:010:609 | Advanced Design and Development of Information Systems | 3 | Y |
22:198:660 | Business Analytics Programming | 3 | Y |
22:198:664 | Algorithmic Machine Learning | 3 | Y |
22:198:670 | Information Technology Strategy | 3 | Y |
22:799:659 | Supply Chain Solutions with ERP/SAP | 3 | Y |
22:839:614 | Object Oriented Programming I | 3 | Y |
22:839:635 | Blockchain & Cryptocurrency | 3 | Y |
26:198:643 | Information Security | 3 | Y |
Electives Area 2: Analytics
Course # | Course Name | Credit(s) | STEM (Y/N) |
16:540:580 | Quality Management | 3 | Y |
16:960:586 | Interpretation of Data | 3 | Y |
16:960:588 | Data Mining | 3 | Y |
22:198:660 | Business Analytics Programming | 3 | Y |
22:544:653 | Game Theoretic Methods for Strategic Decision-Making | 3 | Y |
22:960:608 | Business Forecasting | 3 | Y |
22:960:641 | Analytics for Business Intelligence | 3 | Y |
22:960:646 | Data Analysis and Visualization | 3 | Y |
26:198:684 | Reinforcement Learning | 3 | Y |
26:960:576 | Financial Time Series (3) | 3 | Y |
22: 198:664 | Algorithmic Machine Learning | 3 | Y |
Secondary Concentration(Credits): 9 cr.
Required Courses | 3 Credits |
Electives | 6 Credits |
Rutgers STEM M.B.A.
Students can now earn a STEM M.B.A.. To qualify, students must take a minimum of half of their credits in STEM-designated courses (25-30 credits). The Core Curriculum provides 9 STEM credits. Please use the STEM Link below to view all STEM courses.