Curriculum
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.
Note: Degree requirements are different for the blended program option. See SCMb curriculum details
- See the MIT Course Catalog for descriptions of all subjects
- See details of special classes offered by the SCM department
- See an archive of SCM classes offered in prior terms
SCMr Curriculum
ORIENTATION |
||
Required Subjects | ||
Subject Number | Title | Units |
SC0x | Supply Chain Analytics | – |
SCM.250 | Analytical Methods for Supply Chain Management I | 6 |
Introduction to Python | - | |
FALL |
||
Required Subjects | ||
Subject Number | Title | Units |
SCM.259 | Written Communication for Supply Chain Management | 3 |
SCM.260 | *Logistics Systems | 12 |
SCM.264 | *Databases and Data Analysis for Supply Chain Management | 6 |
Research Project (choose one of the following) | ||
SCM.800 | Capstone Project | 3 |
SCM.THG | Graduate Thesis | 3 |
IAP |
||
Required Subjects | ||
Subject Number | Title | Units |
SCM.262 | Leading Global Teams | 3 |
SCM.254 | Analytical Methods for Supply Chain Management II | 3 |
SPRING |
||
Required Subjects | ||
Subject 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 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 | 12 |
SCM.THG | Graduate Thesis | 9 |
Financial Choices |
||
(choose one of the following) | ||
Subject Number | Title | Units |
SCM.251 | *Supply Chain Financial Analysis | 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 |
Notes |
||
*With the approval of the instructor, students may substitute SCM.260, SCM.264, and/or SCM.251 with the corresponding subject below plus additional electives. | ||
SCM.271 | Logistics Systems Topics | 3 |
SCM.274 | Databases and Data Analysis for Supply Chain Management Topics | 3 |
SCM.253 | Case Studies in Supply Chain Financial Analysis | 6 |
Required ElectiveSelect 1 elective in each of the following categories, plus additional electives to meet unit requirement: 32
Total units: 90 |
||
Subject Number | Title | Units |
SCM Electives | ||
SCM.261[J] | Case Studies in Logistics and Supply Chain Management | 6 |
SCM.283 | Humanitarian Logistics | 6 |
SCM.284 | Humanitarian Logistics Project | 12 |
SCM.289 | E-Commerce and Omnichannel Fulfillment Strategies | 6 |
SCM.290 | Sustainable Supply Chain Management | 6 |
SCM.293[J] | Urban Last-Mile Logistic | 6 |
SCM.294 | Digital Supply Chain Transformation | 6 |
SCM.270 | Current Challenges in Supply Chain Management | 2 |
SCM.275 | Advanced Supply Chain Systems Planning and Network Design | 6 |
Analysis Electives | ||
SCM.293[J] | Urban Last-Mile Logistics | 6 |
1.200[J] | Transportation System Analysis: Performance & Optimization | 12 |
15.071 | The Analytics Edge | 12 |
15.093[J] | Optimization Methods | 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 |
IDS.145[J] | Data Mining: Finding the Models and Predictions that Create Value | 6 |
IDS.147[J] | Statistical Learning and Data Mining | 12 |
IDS.305 | Business and Operations Analytics | 6 |
IDS.330 | Real Options for Product & System Design | 6 |
IDS.333 | Risk and Decision Analysis | 6 |
IDS.338[J] | Multidisciplinary Design Optimization | 12 |
Management Electives | ||
SCM.261[J] | Case Studies in Supply Chain Management | 9 |
SCM.290 | Sustainable Supply Chain Management | 6 |
SCM.287(J) | Global Aging & the Built Environment | 12 |
15.025 | Game Theory for Strategic Advantage | 9 |
15.386 | Leading in Ambiguity: Steering Through Strategic Inflection Points | 6 |
15.390 | New Enterprises | 12 |
15.769 | Operations Strategy | 9 |
15.762[J] | Supply Chain Planning | 6 |
115.763[J] | Manufacturing Systems and Supply Chain Design | 6 |
15.768 | Management of Services: Concepts, Design, and Delivery | 9 |
15.769 | Operations Strategy | 9 |
15.784 | Operations Laboratory | 9 |
15.900 | Competitive Strategy | 9 |
15.904 | Strategy and the CEO | 6 |
15.915 | Business Strategies for a Sustainable Future | 12 |