MITx MicroMasters ® Credential program in Supply Chain Management
An advanced, professional, graduate-level foundation in Supply Chain Management.
Five online courses and one comprehensive final exam, representing the equivalent of one semester's worth of coursework at MIT.
Enroll on edX | Click here to view the 2019-2020 schedule in pdf.
MIT CTL SCx Course Listing
Master and apply the core methodologies used in supply chain analysis and modeling. 10 Jul - 11 Dec 2019 (Next Course: Jan-Mar 2020)
Learn fundamental concepts for logistics and supply chain management from both analytical and practical perspectives. 10 Jul - 9 Oct 2019 (Next course: FebMay 2020)
Learn how to design and optimize the physical, financial, and information flows of a supply chain to enhance business performance. 23 Oct 2019 - 12 Feb 2020 (Next course: Jun-Sep 2020)
Learn how to manage and harness the dynamics and interactions between firms and entities within a supply chain. 24 Jul - 16 Oct 2019 (Next course: Feb-May 2020)
Learn how technology is used in supply chain systems from fundamental concepts to innovative applications. 11 Nov 2019 - 19 Feb 2020 (Next course: Jun-Sep 2020)
Comprehensive Final Exam - CFx
The CFx consists of two, 2-hour, timed and proctored exams. The CFx covers all content from the five SCx courses. The next CFx will be held on 13-16 Sep 2019. Only students who are identified as having completed the required courses will be invited to the CFx, roughly a month before the exam. The exam cost will be $200. For all future course dates view this pdf schedule.
The MIT Supply Chain Bootcamp is a unique blended online and in-person learning experience. To participate in the Bootcamp you must first complete Supply Chain Fundamentals - SC1x online as a verified learner. Once you complete this course with a passing grade of 60% or better, you may apply to the six-day intensive on-campus experience in summer. If you are enrolled and on track to complete SC1x you are welcome to apply. More information here.
Click here to view the full SCx Schedule for 2019 and 2020 in PDF.
These five courses comprise the MITx MicroMasters Credential in Supply Chain Management program. NOTE: The prerequisites for each course are only recommendations and are not hard requirements. While we notice that learners who start with SC0x or SC1x are far more likely to be successful, courses may be taken in any order. Download a PDF of Key Concepts for all courses here.
CTL.SC0x - Supply Chain Analytics - Key Concepts
Prerequisites: None. Proficiency with high school level algebra. Proficiency with spreadsheet software.
Description: This course introduces and explains the analytical methods generally used by logistics and supply chain practitioners. The course will cover topics with a focus on basic data management (cleaning, handling, etc.), Probability (random variables, continuous and discrete distributions, measurement, etc.), Statistics (sampling and inference, hypothesis testing, regression, etc.), Simulation (Monte Carlo, Discrete-Time period), and Optimization (classic unconstrained, network models, and linear, integer and mixed linear programs). The focus is on the application of these techniques and methodologies to problems in the supply chain space.
CTL.SC0x - Supply Chain Analytics - Syllabus
SC0x - Supply Chain Analytics, is delivered on a learner-paced schedule. This course contains the mathematical concepts used throughout all the other courses and is packaged in modules based on content. It is the reference course for all the others and so remains available as needed almost continually. Each run of SC0x will have a final exam on a date set by the course team. The course will close briefly after each scheduled final exam and learners can enroll in the next run of the course if needed. All course content, practice problems, exams, reading materials, and external links are delivered through the course platform on edX. In SC0x there is one final exam that will count for 100% of your grade.
INTRODUCTION TO SUPPLY CHAINS AND BASIC ANALYSIS: In this first week, we will provide an overview of supply chains. We will introduce some of the basic concepts and approaches of the discipline. We will also provide a review of the basics of analysis: models, algebra and mathematical functions. You will learn how to use descriptive, predictive, and prescriptive models in making supply chain decisions.
PRESCRIPTIVE MODELING I: CONSTRAINED AND UNCONSTRAINED OPTIMIZATION: In this week we introduce optimization in the form of prescriptive models. You will learn when and how to use classic optimization techniques to find the minimum or maximum values of an unconstrained cost or profit function. You will also be introduced to linear programs (LPs) for constrained problems. LPs are the most commonly used models for decision making in supply chains. At the end of this module, you should be very comfortable with how to formulate and solve LPs for a wide variety of different problem types.
PRESCRIPTIVE MODELING II: IPS, MILPS, AND NETWORK MODELS: In this week we extend our discussion of constrained optimization to include integer programming (IP), mixed integer linear programming (MILP), and network models. You will learn how to use Integer and Binary variables to better represent real-life supply chain decisions, such as facility location, network design, production planning, etc. You will become adept at formulating, solving, and interpreting the results of LPs, IPs, and MILPs as well as gaining an understanding of basic network optimization methods to solve shortest path, traveling salesman, and vehicle routing problems.
ALGORITHMS AND APPROXIMATIONS: In this week you will learn two approaches to problem-solving that are very common in supply chain management: algorithms and approximations. Algorithms are everywhere! You will learn the basic concepts of developing and deploying algorithms and will see how they are used in some fundamental supply chain applications, such as vehicle routing and inventory planning. Sometimes, however, exact solutions are unfeasible or unobtainable within the desired time. In these cases, approximation methods can be applied quite successfully. We will discuss and go into some detail on one approximation method for estimating costs of vehicle routing to illustrate the approach.
MANAGING UNCERTAINTY: DISTRIBUTIONS AND PROBABILITY: In this week, we introduce the added complexity of uncertainty (or stochasticity) to our analysis. You will learn how to measure, model, and manage uncertainty and randomness within supply chains. You will become comfortable with a variety of continuous and discrete probability distributions that are widely used in supply chains, such as Normal, Uniform, Poisson, and others.
STATISTICAL TESTING: This week is all about statistical testing. You will learn how to conduct hypothesis testing. You will learn how to formulate, test, and analyze the results of various forms of tests that are widely used in practice.
REGRESSION AND SIMULATION MODELS: Often times you will need to develop a model to better predict the future in order to improve planning. In this week you will learn how to develop econometric models, mainly ordinary least squares (OLS) linear regression, that use past history to better estimate the future. OLS regression is widely used to estimate future product demand as well as to better understand how different independent factors influence a dependent variable. In this week, you will not only learn how to build these econometric models but also how to interpret and use them in practical scenarios. Regression is a predictive model that measures the impact of independent variables on dependent variables. We then cover simulation, which captures the outcomes of different policies with an uncertain or stochastic environment.
QUEUEING THEORY AND DISCRETE EVENT SIMULATION: In this week you will learn the basics of queueing theory to help you better manage supply chain processes. Supply chains can be quite complex. The impact of one firm's decisions on another firm's costs, for example, is not always known ahead of time. In order to better describe these complex situations, we often use simulation models. Simulation helps us understand what an outcome will be given a set of inputs. It is very different from prescriptive (optimization) models that make recommendations. In this week you will learn how to use and interpret the results of the discrete event and Monte Carlo simulations.
FINAL EXAM: The final exam is a timed exam that covers all material from the course. See course for exam instructions.
CTL.SC1x - Supply Chain Fundamentals - Key Concepts
Description: This course is a survey of the fundamental analytic tools, approaches, and techniques used in the design and operation of logistics systems and integrated supply chains. The material is taught from a managerial perspective, with an emphasis on where and how specific tools can be used to improve the overall performance and reduce the total cost of a supply chain. We place a strong emphasis on the development and use of fundamental models to illustrate the underlying concepts involved in both intra- and inter-company logistics operations. The three main topic areas we will focus on are Demand Forecasting, Inventory Management, and Transportation Planning. While our main objective is to develop and use models to help us analyze these situations, we will make heavy use of examples from industry to provide illustrations of the concepts in practice. This is neither a purely theoretical nor a case study course, but rather an analytical course that addresses real problems found in practice.
CTL.SC1x - Supply Chain Fundamentals - Syllabus
WEEK 1: FORECASTING I - SEGMENTATION AND INTRODUCTION TO DEMAND FORECASTING: In this first week you will learn about the challenge of uncertainty and become comfortable with the concept of segmentation. You will also learn the fundamental concepts concerning forecasting and demand planning.
WEEK 2: FORECASTING II - TIME SERIES ANALYSIS AND EXPONENTIAL SMOOTHING: You will continue the examination of demand forecasting by becoming familiar with time-series analysis. Building on this, you will learn the basics of exponential smoothing - perhaps the most commonly used demand forecasting methodology. You will become comfortable including both level and trend into your forecasts.
WEEK 3: FORECASTING III - SEASONALITY AND SPECIAL CASES: In this week you will learn how to include seasonality (that is, a repeating pattern over a year, month, week, day, etc.) into your forecasts. It will become quickly apparent how exponential smoothing can handle this - and you will see where the complexity increases. You will also learn about some other techniques used for special cases, such as new product forecasting. This completes the demand forecasting portion of the course.
WEEK 4: INVENTORY MANAGEMENT I - DETERMINISTIC DEMAND: The inventory section opens up with the simplest inventory model: the Economic Order Quantity (EOQ). The EOQ assumes deterministic and constant demand and while this seems rather onerous, you will come to realize that the EOQ model is very useful and widely used in practice. You will learn the basics as well as how to handle special cases, such as discounts, lead times, and finite replenishment
WEEK 5: PREP-WEEK: This is a prep week in which no new graded assignments will be released. It provides you time to complete previous assignments and get ready for the Mid-Term next week.
WEEK 6: MIDTERM EXAMThe mid-term exam is a timed exam that covers all material presented to date. You have one week to complete the test.
WEEK 7: INVENTORY MANAGEMENT II - PROBABILISTIC DEMAND & SINGLE PERIOD MODELS: We now expand from our initial assumptions of deterministic and constant demand to allow for stochastic or random demand in inventory replenishment models. Starting with just a single time period, you will learn how to develop models that handle uncertain demand. You will master what is called the Newsvendor Model. While seemingly simple, you will see that it is the basis of virtually all more sophisticated inventory models.
WEEK 8: INVENTORY MANAGEMENT III - PROBABILISTIC DEMAND & MULTI-PERIOD MODELS: This week is spent developing and using the most common inventory policies in practice for both continuous (s,Q) and periodic (R,S) review situations. You will learn how to formulate models that either minimize costs or meet a specified level of service. You will also learn how service and costs relate to each other.
WEEK 9: INVENTORY MANAGEMENT IV - SPECIAL CASES AND WAREHOUSING: We will wrap up the section on inventory by showing some methods for applying these inventory models for multiple items and multiple locations at the same time. You will learn how segmentation can be used to differentiate how inventory is managed in different situations. You will also learn the basics of warehousing and material handling - the physical manifestations of all of our inventory policy models!
WEEK 10: TRANSPORTATION MANAGEMENT: This week you will focus on understanding the fundamentals of freight transportation from a global perspective. You will learn how to make routing decisions with multiple legs and demonstrate how this also applies to any mode selection. You will also learn how to handle uncertainty in lead-times and see how this relates back to inventory policies.
WEEK 11: PREP-WEEK: Again, this is a prep week in which no new graded assignments will be released. We release a set of videos that discuss some real-world implications and concerns involved with all of the models we have discussed so far. This is a very very light week - so you can get prepared for the Final Exam!
WEEK 12: FINAL EXAM: The final exam is a timed exam that covers all material presented to date. You have one week to complete the test.
CTL.SC2x - Supply Chain Design - Key Concepts
Prerequisites: SC0x and SC1x.
Description: This course covers all aspects involved in the design of supply chains for companies and organizations anywhere in the world. The course is divided into four main topic areas: Physical flow design, Supply chain finance, Information flow design, and Organization/Process design. In the design of physical flows, we show how to formulate and solve Transportation, Transshipment, Facility Location, and Network Design Problems. For financial flows, we show how to translate supply chain concepts and actions into the language of the Chief Financial Officer (CFO) of a company. We cover Activity Based Costing, Working Capital, the Cash-to-Cash cycle and Discounted Cash Flow Analysis. The design of the information flow section describes how firms communicate with suppliers (procurement, risk contracts), internal resources (production planning, bills of materials, material requirements planning), and customers (Sales & Operations Planning and other collaboration based processes). In the last section, we introduce performance metric design and organizational design within the supply chain organization focusing mainly on the centralize/decentralize decision.
CTL.SC2x - Supply Chain Design - Syllabus
WEEK 0: OVERVIEW OF SUPPLY CHAIN DESIGN: In this week we will provide an overview of the course and introduce the concept of design. We will also provide a very quick review of the major concepts taught in SC1x.
WEEK 1: BASIC SUPPLY CHAIN NETWORK DESIGN: In this first week, Network Flow models are introduced and solved using spreadsheets. We then introduce the Facility Location problem and show how to formulate and solve it using Mixed Integer Linear Programs (MILPs).
WEEK 2: ADVANCED SUPPLY CHAIN NETWORK DESIGN: In this week we combine the Facility Location problem with the network flow models to formulate and solve larger Network Design problems to include facility capacity, level of service, inbound and outbound transportation, etc. We use the model to solve and test the sensitivity of the assumptions in a larger case study. We also discuss advanced topics in network design to include modeling multiple products, multiple echelons, and multiple time periods. Flexibility and robustness are also discussed.
WEEK 3: PRODUCTION PLANNING: This week we move from network design to working with internal (and external) manufacturing partners. We present the Fixed Planning Horizon model and solve it to develop optimal production plans. We then introduce and demonstrate the use of Bill of Materials (BOM), Material Requirements Planning (MRP) systems, and Distribution Requirements Planning (DRP) systems.
WEEK 4: SALES & OPERATIONS PLANNING AND DISTRIBUTION STRATEGIES: In this week the Sales & Operations Planning (S&OP) process is presented and discussed. We also present different distribution strategies and discuss how e-commerce has affected the design of distribution networks.
WEEK 5: OFF-WEEK: This is a week off. It is a chance for you to catch up on your graded assignments and to review the previous material. In this week we also address practical concerns involved with running a network design project.
WEEK 6: MIDTERM EXAM: The Midterm exam covers all of the material from weeks 1, 2, 3, and 4. The objective is to ensure mastery of Network Design, Production Planning and Distribution Channel Strategies. It will be a timed exam, available during one week, but once you start the exam there is a limited time to complete it.
WEEK 7: SUPPLIER MANAGEMENT: Professor Yossi Sheffi kicks off the module on supplier management by providing an overview of the sourcing and procurement functions within a firm and gives insights into how different approaches can be applied depending on the situation. Professor Sheffi continues the discussion on supplier management by presenting optimization based procurement. He also shows how these powerful techniques can be used in practice.
WEEK 8: SUPPLY CHAIN FINANCE I: Jim Rice will draw the connections between supply chains and accounting. He will provide a brief interview of the major accounting concepts relevant to supply chains to include Activity Based Costing (ABC), Working Capital, and the Cash-to-Cash conversion cycle.
WEEK 9: SUPPLY CHAIN FINANCE II: Dr. Jarrod Goentzel continues the discussion on supply chain finance by introducing discounted cash flow (DCF) analysis. He will demonstrate how to use DCF analysis in capital budgeting and justifying supply chain investment decisions.
WEEK 10: SUPPLY CHAIN FINANCE III AND ORGANIZATIONAL DESIGN: We wrap the course up by discussing and demonstrating how to design the supply chain organization itself. We also introduce a case study. At the end, we spend some time summarizing and synthesizing the concepts taught throughout the course.
WEEK 11: OFF-WEEK: This is a week off. It is a chance for you to review the course material.
WEEK 12: FINAL EXAM: The final exam covers all of the material in this course. The objective is to understand how all of the models, concepts, and approaches fit together. It will be a timed exam, available for one week, but once you start the exam there is a limited time to complete it.
CTL.SC3x - Supply Chain Dynamics - Key Concepts
Prerequisites: SC0x, SC1x, and SC2x.
Description: This course covers additional aspects of supply chains. Topics introduced include Supply Chain Strategy, Supply Chain Risk, System Dynamics, Global Logistics, Freight Transportation, Warehouse Management, etc. Other special topics to be covered include Sustainability, Urban Logistics, and Humanitarian logistics.
CTL.SC3x - Supply Chain Dynamics - Syllabus
WEEK 1: Introduction to Supply Chain Dynamics: In this first week we will provide an overview of the supply chains as complex systems. We introduce the idea of complexity and we identify five main drivers of supply chain complexity.We will also introduce the basic idea of a simple process, and illustrate the core characteristics of capacity, variability and flow. We then demonstrate how different buffering strategies as inventory, time or capacity can be employed in supply chains. We finish the week showing how to use process analysis tools to examine, critique, design, or redesign supply chain processes used in practice.
WEEK 2: Introduction to System Dynamics: In this lesson, we will introduce some of the core concepts of the discipline known as System Dynamics and illustrate how these relate to supply chains. We will review the basic components of system dynamics, what it is, how to apply it, and how to use models to understand it. We go over various approaches to visualize system complexity. We then move into a discussion on modeling the systems. Throughout the course of the lesson, we build a “toolbox” for system dynamics which includes causal loop diagrams, behavior over time charts, stock & flow diagrams, and models.
WEEK 3: Dealing with partners: Collaboration and Risk Contracts: In this week Dr. Chris Caplice introduces a week that reviews how to deal with partners. Caplice first outlines collaboration, including how the lack of collaboration can lead to significant impacts such as the bullwhip effect. Professor Yossi Sheffi then introduces and reviews supply contracts.
WEEK 4: Supply Chain Strategy & Alignment: In this week we introduce business and discuss the most common business strategy frameworks and methodologies. We focus on how supply chains need to align with the selected company strategy in order to enable it.
WEEK 5: PREP WEEK: This is a prep week in which no new graded assignments will be released. It provides you time to complete previous assignments and get ready for the midterm next week.
WEEK 6: Midterm Exam: The midterm exam will include multiple choice questions and problems that will cover the concepts review in the first four weeks of the course. The midterm will be open for one week, but it will be a timed exam, so you will only have a limited amount of time to complete it.
WEEK 7: Global SUPPLY CHAIN Management I: Dr. Bruce Arntzen presents an introduction to global supply chains and explains the challenges and opportunities of trading between countries. Trade agreements and optimization models of a supply chain are introduced this week.
WEEK 8: Global Supply Chain MANAGEMENT II: Dr. Bruce Arntzen continues the discussion of trade agreements. He reviews different approaches to setting up manufacturing and the motivation and challenges of the offshoring strategy. He illustrates current industry trends based on real examples.
WEEK 9: Risk Management & Resilience: Professor Yossi Sheffi explains the different causes of disruption. Based on the analysis of different examples and real cases, he classifies types of disruptions. He finishes the risk management and resilience lesson by discussing the lessons learned in the real cases presented and explaining how companies can improve their resilience and manage risk.
Week 10: Exogenous Factors: In this week we will wrap up supply chain dynamics with forces that influence the design and management of a supply chain. We will discuss a series of forces on the supply chain that includes regulation and law, natural & human resources, industry & society, and customers. To understand these forces, Dr. Alexis Bateman introduces an example through a palm oil case study.
WEEK 11: PREP WEEK: Again, this is a prep week in which no new graded assignments will be released. This is so you can get prepared for the Final Exam!
WEEK 12: FINAL EXAM: The final exam covers all of the material in this course, with special focus in the last four weeks. The objective is to understand how all of the concepts, tools, and techniques reviewed in this course fit together. The final exam will be open for one week, but it will be a timed exam, so you will only have a limited amount of time to complete it.
CTL.SC4x - Supply Chain Technology and Systems Key Concepts
Prerequisites: SC0x, SC1x, SC2x, and SC3x.
Description: This course will cover the technology used within supply chains with a special focus on handling exceptionally large data sets. The topics covered include Databases, SQL, Data visualization, and Large Scale analysis. Additionally, we will introduce and explain interactions and connections between systems used within supply chains, to include: Order Management Systems, Transportation Management Systems, Warehouse Management Systems, Inventory Management Systems, etc.
CTL.SC4x - Supply Chain Technology and Systems - Syllabus
WEEK 0: Overview, Logistics & TFC : In Week 0 we will provide an overview of the basic rules and practices of managing large data sources. Additionally, we will introduce you to the Fresh Connection supply chain simulation game. This is a game that we will use throughout the course, starting on Week 1, to illustrate how different functions interact and how trade-offs can be made.
WEEK 1: DATA MANAGEMENT I: In this first week, we dive deeply into data modeling. You will learn the basics of relational models, including entities, attributes, keys, tables, and of course, databases. You will become familiar with Entity-Relationship Diagrams that describe the business rules through a combination of relationships and cardinality between entities. We will show examples of how to take real-world data and put it into fully normalized databases. We will finish up with a short review of client-server architecture. This week we will open The Fresh Connection Round 1, available for just one week!
WEEK 2: DATA MANAGEMENT II: In this week, you will become fully acquainted with how to use the Structured Query Language, or SQL. This is the language that allows humans (as well as other systems) to interact with relational databases. Through extensive examples, you will learn how to use SELECT, INSERT, JOIN, VIEW, and other statements. We will be using mySQL for these assignments, but you can use any database implementation that you are comfortable with.
WEEK 3: DATA MANAGEMENT III: In this week, we will introduce additional topics in data management. We will also provide a quick overview of the burgeoning field of Machine Learning. Building off of the data management skills mastered in weeks 1-2 and the first lesson of this week, you will learn how to set up and run both supervised and unsupervised learning techniques. We will be using the open source software package Orange (implemented in Python) for the machine learning lectures this week and next. Fresh Connection Round 2 is open this week.
WEEK 4: Machine Learning: In Week 4 we will dive more deeply into the field of Machine Learning. We will present examples of commonly used machine learning algorithms and some applications. Next, we will discuss methods to train and validate classifiers, and the trade-offs between classifier performance and overfitting.
WEEK 5: Week off (preparation for Midterm Exam): In week 5 we give you time to play TFC game! You will have once week to play Round 3. No new graded assignments will be handed out during this week. We will also offer a Virtual Field Trip to New York City, where learners can see a an application of machine learning to logistical problems at a real company.
WEEK 6: MIDTERM EXAM: The Midterm exam covers all of the material from weeks 1, 2, 3, and 4. The objective is to ensure mastery of data management techniques and methods. It will be a timed exam, available during just one week and once you start the exam there is a limited time (4 hours) to complete it.
WEEK 7: Supply Chain Systems I: ERPs & SC Modules: So far, we have discussed how large sets of data are managed. In this week, we take a specific look at supply chain systems starting with typical data structures and communication methods (such as EDI, XML, etc.). Building off of this, we will provide an overview of the traditional supply chain operational and execution systems, such as, ERP, MRP, TMS, OMS, and WMS. In addition to our lectures, we will feature interviews and discussions with industry experts.
WEEK 8: Supply Chain Systems II: Supply Chain Visibility and track & trace: In this week you will learn about track and trace systems and the importance of visibility in supply chains. Dr. Chris Caplice will introduce this topic and its application across industries. In the second lesson, Dr. Bateman will explore a case that will bring together many of the lessons you have learned in this course including how to work with big data, supply chain systems, platform interoperability, and track & trace in their interest of supply chain visibility. The graded assignment for this week will be proctored.
WEEK 9: Supply Chain Systems III: Software Selection, Implementation, and Challenges: In the first lesson, we will review how supply chain planning systems are used in practice. In the second lesson, we will review some of the challenges embedded in supply chain systems.
WEEK 10: Supply Chain & Technology Trends: In this week Dr. Caplice and Dr. Ponce will introduce current technologies and trends and discuss how they may impact supply chains, to include autonomous trucks and vehicles, delivery drones, mobile computing, additive manufacturing (3D printers), crowdsourcing delivery, robotics, and blockchain. We will conclude the week with a wrap-up of the course and the MicroMasters series.
There will be no graded assignment for this week.
WEEK 11: Week Off (preparation for FINAL EXAM)
A free week to give you all a time to breathe! No assignment will be handed out.
WEEK 12: FINAL EXAM
The final exam covers all of the material in this course. The objective is to understand how supply chain systems and technologies work in practice; from data management to system integration. It will be a timed exam, available for just one week and once you start the exam there is a limited time (4 hours) to complete it.
CTL.CFx - Supply Chain Comprehensive Final Exam
The CFx is the Comprehensive Final Exam for the MicroMasters in Supply Chain Management. To qualify for the CFx a learner must have completed and passed all five SCx courses as an ID verified learner, using the same username.
The exam consists of two 120-minute tests, Exam I and Exam II. Once a learner begins Exam I, they must complete both exams within 12 hours. Virtual test takers will use the Software Secure proctoring software to be virtually proctored through edX. See the "When will the next course be run?" FAQ for updates to the exam schedule. Course staff will notify and enroll qualified learners when they become eligible.
About the MITx MicroMasters Credential program in Supply Chain Management
On October 7, 2015, President Rafael Reif announced the launch of the MITx MicroMasters Credential in Supply Chain Management. This is a new educational certification program that offers learners around the world a way to gain and demonstrate expertise in the growing field of Supply Chain management. Additionally, students earning the MITx MicroMasters Credential have the opportunity of applying those credits toward a Masters Degree at MIT through the Blended Supply Chain Management Program.