Curriculum Highlights
Students must complete 33 credits (11 courses) including:
- three foundation courses
- one experiential learning course
- seven elective courses
Full-time students can graduate in two-to-three semesters (1-1.5
years) depending on the number of courses taken per semester. Part-time
students are suggested to take two courses per semester, and graduate in three years.
Note:
Credit Waiver. Subject to approval by the program director,
students can be granted a course waiver up to 3 credits. The waiver should be requested toward a specific course in the program curriculum.
Course Details
Core Courses
(three courses, 3 credits
each, required)
Supply Chain Management
Strategies (22:799:607)
Operations Analysis
(22:799:580/586)
Supply Chain Analytics
(22:799:601)
Experiential Learning
Courses
(choose one of the following three courses)
Industry Client Projects
(22:799:650)
MSCA Independent Study
(22:799:649)
MSCA
Internship/Experiential Learning (22:799:630; 0 credit) + one additional elective
course (3 credits)
Elective Courses
(choose seven as outlined of
the following courses, 3 credits each)
Supply Chain Elective
Courses (choose at least two)
Global Procurement and
Supply Management (22:799:608)
Supply Chain Finance
(22:799:640)
Supply Chain Solution w/SAP I (22:799:659)
Introduction to Project
Management (22:799:661)
Demand Management for
Value Chain (22:799:663)
Lean Six Sigma (22:799:676)
Analytics Elective Courses
(choose at least three)
Supply Chain Artificial
Intelligence (22:799:641)
Business Intelligence for
Supply Chain and Marketing (22:799:670)
Data Analysis and Decision-Making (22:544:575)
Business Data Management
(22:544:603)
Business Forecasting
(22:544:608)
Analytics for Business
Intelligence (22:544:641)
Data Mining (26:544:650)
Data Analysis and
Visualization (22:544:646)
Business Analytics
Programming (22:544:660)
Enrichment Courses
Valuation of New Business
Ventures (22:799:648)
Supply Chain
Sustainability (22:799:672)
Global Logistics
Management (22:799:679)
Negotiation (22:620:617)
Marketing Management
(22:630:586)
Business-to-Business
Marketing (22:630:606)
Machine Learning
(26:198:622)
Discrete Optimization
(26:711:653)
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