Master of Science in Supply Chain Management concentration in Quantitative Approaches

The Master of Science in Supply Chain Management concentration in Quantitative Approaches will equip students with the advanced quantitative skills needed to analyze and manage complex supply chains. It is focused on the needs of supply chain decision makers who must navigate the ever-changing and increasingly complex networks of facilities, partners, suppliers, and other domestic and international stakeholders. Decisions concerning the determination of supply chain strategies, analysis and mitigation of supply chain risks, management of performance, quality control, inventory and capacity management, and all other operations-related analyses will be stressed. Analytical techniques include statistical analysis, probabilistic decision-tree analysis, control charting, process capability analysis, Monte Carlo simulation and optimization techniques.

Students who complete the Supply Chain Management master’s degree concentration in Quantitative Approaches will be able to demonstrate:

  • Knowledge and skills necessary to better utilize available information in operational, tactical, and strategic decision-making in supply chains.
  • An understanding of how organizations are using interlinked data-inputs, analytics models, and decision-support tools to better understand their operations, customers, and markets.
  • An ability to describe a manufacturing, service, or business process using appropriate statistical calculations and displays.
  • How to make quality-related decisions based on information (e.g., performance metrics, survey results, or inspections) while appreciating the existence of random variation and its effect on the statistical behavior of the data.
  • An ability to implement a quality system that uses a process-oriented approach to controlling and improving processes.
  • Accuracy in the application of analytical methods in their own analysis, and the ability to recognize misapplications in the works of others, by presenting performance results in ways that inform, rather than confuse or mislead, a management audience.

Students enrolling in MET AD 616 Enterprise Risk Analytics:

A total of ten courses (40 credits) is required.

Students must complete the degree core courses and the requirements of their chosen concentration, as well as an elective and a capstone project.

Degree Core Courses
(Four courses/16 credits)

This course helps students to develop an understanding of the impact of business processes on the organization's performance and provides students the key tools to analyze and improve processes in both manufacturing and service sectors.   [ 4 cr. ]

Section Type Instructor Location Days Times
B1 IND Maleyeff EPC 204 T 6:00 pm – 8:45 pm
B2 IND Rainey FLR 264 T 12:30 pm – 3:15 pm
O1 IND Maleyeff ARR

Introduction to the concepts, methods and problems of accounting and financial analysis. Includes accounting principles, measurement and disclosure issues, financial statement analysis, time value of money, cash flow projection and analysis, capital budgeting and project evaluation, bond and equity valuation, cost of capital and capital structure. 4 cr.   [ 4 cr. ]

Section Type Instructor Location Days Times
C1 IND Mcgue EPC 203 W 6:00 pm – 8:45 pm
D1 IND Chee SOC B63 R 6:00 pm – 8:45 pm
O1 IND Cohen ARR
BCP IND Turner S 8:30 am – 4:00 pm

This course analyzes the managerial activities required to support manufacturing and service industry international strategies to assure that that products/services are delivered/provided in the quality and timely manner expected through the use of global supply chains, outsourcing relationships and multi-country operations. The course focuses on contemporary strategic issues that affect both large and small corporations and includes: the strategic role of the internet, international trade and logistics, cross cultural teaming, supply chain dynamics, information management, inventory scheduling and control, international coordination and transportation and customer service. 4cr.   [ 4 cr. ]

Section Type Instructor Location Days Times
A1 IND Stodder MCS B33 M 2:30 pm – 5:15 pm
D1 IND Gunes Corlu CAS 208 R 6:00 pm – 8:45 pm

Explores decision making and policy formulation in organizations. Includes goal setting and the planning process, rational models of decision making, evaluation of alternatives, prediction of outcomes, cost-benefit analysis, decision trees, uncertainty and risk assessment, and procedures for evaluation of outcomes.   [ 4 cr. ]

Section Type Instructor Location Days Times
B1 IND Zlatev FLR 134 T 12:30 pm – 3:15 pm
E1 IND Zlatev EPC 209 T 6:00 pm – 8:45 pm
O1 IND Zlatev ARR
BHA IND Cleary U 8:30 am – 4:00 pm

Concentration Requirements
(Three courses/12 credits)

Select three from the following list:

The goal of this course is to introduce to students foundational mathematics and statistics knowledge that will provide them skills and tools necessary to succeed in their area of study.   [ 4 cr. ]

Section Type Instructor Location Days Times
D1 IND Ritt EPC 204 R 6:00 pm – 8:45 pm
O1 IND Ritt ARR

Prereq: METAD571
The course offers an overview of the key current and emerging enterprise risk analytical approaches used by corporations and governmental institutions and is focused on understanding and implementing the enterprise risk management framework on how to leverage the opportunities around a firm to increase firm value. The major risk categories of the enterprise risk management such as financial risk, strategic risk and operational risk will be discussed and risk analytics approaches for each of these risks will be covered. Students will learn how to use interlinked data-inputs, analytics models, business statistics, optimization techniques, simulation, and decision-support tools. An integrated enterprise risk analytics approach will be demonstrated with examples from different functional areas of the enterprise.  [ 4 cr. ]

Section Type Instructor Location Days Times
O1 IND Arslan ARR

The goal of this course is to introduce to students advanced quantitative approaches and methods that will provide them skills and tools necessary to succeed in their area of study.  [ 4 cr. ]

Course participants will be exposed to the fundamental principles involved in the management of quality for enterprises and their supply chain. Quality is defined in the broadest sense, encompassing all performance components that drive customer satisfaction. The course focuses on general principles, both quantitative and qualitative, and their application in a variety of industrial, service, healthcare, and educational environments. Topics include the Deming philosophy of management, Six Sigma and the DMAIC project framework, quality certification systems, data analysis & presentation, quality analysis using control charts, process capability analysis, and competitive benchmarking.  [ 4 cr. ]

Capstone Project 

(One course/4 credits)

--  [ 4 cr. ]

Concentration Electives
(Two courses/8 credits)

Select two graduate level courses. These courses can be selected from other Administrative Sciences offerings or Metropolitan College departments< as well as from other Boston University schools and colleges, with an advisor’s approval.

View all Administrative Sciences graduate courses.