One Year STEM Master of Business Administration
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Curricular requirements, with credit counts
For the STEM-designated One-Year MBA, students must successfully complete 45 credits that
include 4 required and 8 elective courses (details vary by track), of which 27 or more credits must be
STEM-designated. The STEM-designated required courses are indicated in bold. The remainder of
STEM-designated credits will be taken from the list of STEM-Designated MBA electives provided below
at the end of this proposal.
In addition to these requirements specific to the STEM MBA, all other graduation requirements currently
in place for the One-Year program will also apply, including the completion of at least one experiential
elective course, competition of IKEWs, and so forth.
Summer Start:
Summer: Introductory course, Politics and Public Policy for Managers, two elective courses
Fall: PACE I (Practical Application for Careers and Enterprises), three elective courses
Spring: PACE II (Practical Application for Careers and Enterprises), three elective courses
Fall Start:
Fall: Leadership Effectiveness and Development (LEAD), Politics and Public Policy for
Managers, two elective courses
Spring: Four elective courses
Summer: Strategic Management, the IMAP (Integrated Management Project) Capstone Course,
two elective courses
The electives in both tracks must be from the list of STEM-designated courses presented below.
STEM-designated MBA electives (available to all MBA students)
We propose the following courses that already exist in our EC/CC MBA curriculum be
categorized as STEM-designated electives (ordered by course number). As new elective courses
are developed and added to the curriculum, this list will be updated accordingly.
Course Number Course Name
course Digital E-Commerce Analytics
course Management Analytics
course Valuation
course Marketing Analytics
course Models for Choices & Forecasts
course Communicating with Data for Enterprise Decision-Making
course Improving Managerial Intelligence via Behavioral Science
course Automation, Coding, and Computational Thinking
course Managing with AI
course Topics in Management: Managing Not-for-Profit Operations
course Cost Benefit Analysis
course Financial Statement Analysis
course Business/Economic Forecasting
course Business Dynamics
course Enterprise Data Management
course Research for Marketing Decisions
course Negotiation, Bargaining, and the Economics of Strategy
course Data Science for Strategic Applications
course Corporate Finance
course Investments
course O'Neill Student Investment Student Investment Fund I
course O'Neill Student Investment Student Investment Fund II
course O'Neill Student Investment Fund Summer