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Master of Supply Chain Analytics
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  Rutgers Business School: Graduate Programs-Newark and New Brunswick 2024-2026 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.

Credit Waiver: Subject to approval by the program director, students can be granted a course waiver of up to 3 credits. The waiver should be requested for a specific course in the program curriculum.

Course Details
Core Courses (3 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 1 of the following 3 courses)

Industry Client Projects (22:799:650)

MSCA Independent Study (22:799:649)

MSCA Internship/Experiential Learning (22:799:630; 0 credit) + 1 additional elective course (3 credits)

Elective Courses (choose 7 as outlined of the following courses, 3 credits each)
Supply Chain Elective Courses (Choose at least 2)

Global Procurement and Supply Management (22:799:608)

Supply Chain Finance (22:799:640)

Supply Chain Solution w/ SAP I (22:799:659)

Project Management (22:799:661)

Demand Management for Value Chain (22:799:663)

Lean Six Sigma (22:799:676)

Supply Chain Sustainability (22:799:672)

Global Logistics Management (22:799:679)

Service Management (22:799:625) or Healthcare Service Management (22:799:696)

Analytics Elective Courses (Choose at least 3)
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 (22:544:650)

Data Analysis and Visualization (22:544:646)

Business Analytics Programming (22:544:660) 

Enrichment Courses
Think Like an Executive (22:135:587)

Healthcare Analytics (22:799:638)

Valuation of New Business Ventures (22:799:648)

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) 

Credit Waiver Requirement:
  • At least three years of work experience in a relevant area. The student should provide a detailed resume and a supporting letter from his/her employer to prove the relevant work experience.
  • Professional certification in a relevant area. The student should provide a relevant professional certificate and prove that the contents covered in the certificate exam/training are similar to the contents covered in the corresponding course.
For more information please visit our website
 
For additional information, contact RU-info at 848-445-info (4636).
Comments and corrections to: Campus Information Services.



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