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Master of Supply Chain Analytics

Credit Hours
33
1.5
Years (avg)
Program Type
In-Person
Upcoming Event:
Online Information Session
Admissions Deadline:

Spring 2025 (domestic applicants)

Admission is on a rolling basis based on the completed application. GRE/GMAT is required. Waiver requests will be evaluated based on previous graduate degree and/or relevant work experience.
GRADUATE PROGRAMS OPEN HOUSE - OCTOBER 26: Take advantage of this opportunity to meet with faculty, students, and alumni in person. Attendees will receive an application fee waiver.

Inspired by industry trends and demand, the Master of Supply Chain Analytics program at Rutgers Business School will prepare you to be a data-driven decision-maker in a rapidly growing job market. The Supply Chain Analytics program is taught by highly recognized faculty in the Supply Chain Management department -- a globally ranked program with a long history of success.

Program Highlights

Based out of centrally located New Brunswick campus

Suitable for both full-time and part-time students

Relevant, industry-informed curriculum

Practical training strongly encouraged

Internship & industry client projects available

STEM-designated program

18 Oct
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Please join us for a presentation on the program plus question and answer session with the program director.
26 Oct
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Considering an advanced degree in business? Come in person to the New Brunswick Campus to learn about Rutgers Business School’s highly regarded graduate programs.

Learn how to turn data into predictive insights

Click 'play' to hear from industry leaders, alumni, and current students about their experience in the Master of Supply Chain Analytics Program.

View the curriculum for the MSCA program.

Learn about the career services available for students in this program.

Undergraduate students have an opportunity to get a head start on earning a business master’s degree in our Gateway program.

Connect with a peer mentor to answer questions about the MSCA program. Meet our MSCA alumni.

Who is this for?

This highly competitive program is best suited for those with a mindset to apply analytics to supply chain fields and be the future supply chain leaders. Don't have a degree in a quantitative field? As long as you have a basic background in mathematics and statistics, we encourage you to apply.

Still an undergraduate supply chain student and looking ahead? Learn more about our gateway option.

How long will it take?

At 33 credits, the Master in Supply Chain Analytics -- a STEM-designated program -- can be completed full-time in 1 to 1.5 years. Based out of our centrally located New Brunswick campus, and with flexible class arrangements that include evening and weekend courses, the Rutgers Master of Supply Chain Analytics program is a good fit if you're a busy professional wanting a program that fits your schedule.

Why it matters

Big data analytics are changing the way supply chains are managed. In our program, you'll learn the hard analytics skills you need and the insight to apply those skills to solve real problems and create faster, better, more efficient supply chains.

We show you how to turn hard data into predictive insights. You step out and lead.

Master of Supply Chain Analytics Newsletter

Stay up to date with MSCA!

May Issue

February Issue

Interested in Applying?

Learn more about tuition & fees, application deadlines, graduate admissions events and how to apply to the program by visiting the Admissions page.

Faculty Spotlight

Weiwei Chen

Professor and Senior Director of MBA Programs

Dr. Chen’s research interests encompass supply chain optimization, service operations, and operations-finance interface. He also works on simulation and global optimization methodologies. With extensive research and consulting experience in both business and public sectors, he aims to enhance strategic decisions and operational efficiencies through modeling and data analytics. His work...


Faculty Spotlight

Joseph N. Agresta

Assistant Professor of Professional Practice and Director of Master of Supply Chain Analytics

Joe has been a global Senior Leader with a career spanning 40 years at Johnson & Johnson and Allied Signal. His experience spans across Global Procurement, Supply Chain, Operations Management, Program and Product Line Management.  In his 19 years at Johnson & Johnson, Joe has held Vice President leadership...


Faculty Spotlight

Xiaowei Xu

Associate Professor

Dr. Xiaowei Xu has over 10 years of research experience in building quantitative models (OR/STAT/PROBABILITY) for marketing, supply chain management and finance applications. His current research interests include: price theory; micro-level extension into marketing, supply chain management and finance areas; macro-level extension into input-output and sector analyses.