Supply Chain Management Master’s Curriculum (Residential)

Both the Master of Engineering in Supply Chain Management degree (MEng-SCM) and the Master of Applied Science in Supply Chain Management degree (MASc-SCM) are intensive, ten-month residential programs requiring 90 units of graduate subjects. The curriculum has a strong focus on technical and analytical skills, leadership and communication skills, and includes opportunities to engage deeply with top global companies through industry-sponsored research projects, speaker series, and facility tours.

For the MASc-SCM, students complete at least 81 units of required and elective subjects as well as a 9-unit capstone research project. For the MEng-SCM degree, students complete at least 78 units of required and elective subjects as well as a 12-unit research thesis. The subject requirements for this program are described below.

See the MIT Course Catalog for descriptions of all subjects (*Link cannot be open with Chrome Browser)

Note: Degree requirements are different for the blended program option. See SCMb curriculum details 

ORIENTATION Required Subjects Course Number	Title	Units
SC0x	Supply Chain Analytics	–
SCM.250	Analytical Methods for Supply Chain Management I	3
	Introduction to Python	–
FALL Required Subjects Course Number	Title	Units
SCM.259	Written Communication for Supply Chain Management	3
SCM.260[J]	Logistics Systems 2	12
SCM.264	Databases and Data Analysis for Supply Chain Management 3	6
SCM.275	Advanced Supply Chain Systems Planning and Network Design	6
Project Requirement Choose one
SCM.800	Capstone Project – MASc	5
SCM.THG	Graduate Thesis – Meng	3
IAP Required Subjects Course Number	Title	Units
SCM.254	Analytical Methods for Supply Chain Management II	3
SCM.262	Leading Global Teams	3
SPRING Required Subjects Course Number	Title	Units
SCM.263	Advanced Writing Workshop for SCM	3
SCM.281	Supply Chain Public Speaking Workshop	1
MASc Requirements
SCM.256 or 6.C51 & SCM.C51	Data Science and Machine Learning for Supply Chain Management Machine Learning Applications for Supply Chain Management and Modeling with Machine Learning: from Algorithms to Applications	12
SCM.800	Capstone Project	6
MEng Requirements
6.C51 & SCM.C51	Modeling with Machine Learning: from Algorithms to Applications Machine Learning Applications for Supply Chain Management	12
SCM.THG	Graduate Thesis	12

Electives 

Required Electives Course number		Units
Students need 6 units from the SCM Track plus additional units from 2 of the 3 remaining tracks (Analytics, Leadership & Management, and Finance) to meet requirements.		27-38
Analytics Track
Leadership & Management Track
Strategy Track
Supply Chain Track
Total Units		90-101

Strategy Electives Course number	Title	Units
SCM.251	Supply Chain Financial Analysis 4	9
SCM.253	Case Studies in Supply Chain Financial Analysis	6
15.025	Game Theory for Strategic Advantage	9
15.011	Economic Analysis for Business Decisions	9
15.401	Managerial Finance	9
15.521	Accounting Information for Decision Makers	6
15.535	Business Analysis Using Financial Statements	9
15.900	Competitive Strategy	9
15.904	Strategy and the CEO	6
Supply Chain Track Electives
SCM.261[J]	Case Studies in Logistics and Supply Chain Management	6
SCM.270	Current Challenges in Supply Chain Management	2
SCM.283	Humanitarian Logistics	6
SCM.284	Humanitarian Logistics Project	6
SCM.289	E-Commerce and Omnichannel Fulfillment Strategies	6
SCM.290	Sustainable Supply Chain Management	6
SCM.291	Procurement Fundamentals	6
SCM.293[J]	Urban Last-Mile Logistics	6
SCM.294	Digital Supply Chain Transformation	6
SCM.295	Supply Chain Study Trek	1
SCM.301	Independent Study: Supply Chain Management
SCM.302	Independent Study: Supply Chain Management
15.762[J]	Supply Chain Analytics	12
15.763[J]	Supply Chain: Capacity Analytics	6
1.266	Supply Chain and Demand Analytics	6
15.769	Operations Strategy	9
Analytics Electives
1.200[J]	Transportation: Foundations and Methods	12
15.071	The Analytics Edge	12
15.774	The Analytics of Operations Management	12
15.871	Introduction to System Dynamics	6
15.872	System Dynamics II	6
15.873	System Dynamics for Business and Policy	9
15.C57[J]	Optimization Methods	12
IDS.145[J]	Data Mining: Finding the Models and Predictions that Create Value	6
IDS.147[J]	Statistical Machine Learning and Data Science	6
IDS.305[J]	Business and Operations Analytics	9
IDS.330[J]	Real Options for Product and Systems Design	9
IDS.333[J]	Risk and Decision Analysis	9
IDS.338[J]	Multidisciplinary Design Optimization	12

Leadership Electives
SCM.287[J]	Global Aging & the Built Environment	12
15.286	Communicating with Data	6
15.386	Leading in Ambiguity: Steering Through Strategic Inflection Points	6
15.390	New Enterprises	12
15.768	Management of Services: Concepts, Design, and Delivery	9
15.777	Healthcare Lab: Introduction to Healthcare Delivery in the United States	15
15.784	Operations Laboratory	9
15.915	Business Strategies for a Sustainable Future	9