Curriculum and Course Descriptions

Course and credit requirements have changed under the current 49-credit part-time M.B.A. program for students enrolled fall 2018 and thereafter. Please visit http://myrbs.business.rutgers.edu/students/mba/full-time-and-part-time-mba/curriculum/part-time-mba-curriculum for a full breakdown of adjusted curriculum and concentration requirements for the 49-credit part-time M.B.A. program.

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.