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Master of Supply Chain Analytics
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  Rutgers Business School: Graduate Programs-Newark and New Brunswick 2022-2024 Degree Programs Master of Supply Chain Analytics Degree Requirements  

Degree Requirements

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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