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:
MET AD 571 Business Analytics Foundations
Prereq: AD100 Pre-Analytics Laboratory
This course presents fundamental knowledge and skills for applying business analytics to managerial decision-making in corporate environments. Topics include descriptive analytics (techniques for categorizing, characterizing, consolidation, and classifying data for conversion into useful information for the purposes of understanding and analyzing business performance), predictive analytics (techniques for detection of hidden patterns in large quantities of data to segment and group data into coherent sets in order to predict behavior and trends), prescriptive analytics (techniques for identification of best alternatives for maximizing or minimizing business objectives). Students will learn how to use data effectively to drive rapid, precise, and profitable analytics-based decisions. The framework of using interlinked data-inputs, analytics models, and decision-support tools will be applied within a proprietary business analytics shell and demonstrated with examples from different functional areas of the enterprise. [ 4 cr. ]
|A1||IND||Youssef||M||2:30 pm – 5:15 pm|
|A4||IND||Harris||W||2:30 pm – 5:15 pm|
|A6||IND||Ritt||KCB 103||W||6:00 pm – 8:45 pm|
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)
MET AD 605 Operations Management: Business Process Fundamentals
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. ]
|A1||IND||Maleyeff||M||2:30 pm – 5:15 pm|
|A3||IND||Cashton||CAS 235||T||6:00 pm – 8:45 pm|
|A4||IND||Maleyeff||CAS 233||W||6:00 pm – 8:45 pm|
|A5||IND||Maleyeff||R||12:30 pm – 3:15 pm|
MET AD 632 Financial Concepts
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. ]
|A1||IND||Noorian||SHA 210||M||6:00 pm – 8:45 pm|
|A2||IND||Mcgue||T||12:30 pm – 3:15 pm|
|A3||IND||Mendlinger||CAS 233||T||6:00 pm – 8:45 pm|
|A5||IND||Mcgue||R||12:30 pm – 3:15 pm|
|A6||IND||Mcgue||SHA 210||R||6:00 pm – 8:45 pm|
MET AD 680 Global Supply Chains
This course analyzes the managerial activities required to support manufacturing and service industry international strategies to assure that the 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. ]
|A1||IND||Gunes Corlu||GSU 239||T||6:00 pm – 8:45 pm|
|A2||IND||Zhang||ERB 203||W||6:00 pm – 8:45 pm|
MET AD 715 Quantitative and Qualitative Decision-Making
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. ]
|A1||IND||Harris||T||12:30 pm – 3:15 pm|
|A2||IND||Youssef||CAS 326||T||6:00 pm – 8:45 pm|
|A3||IND||Zlatev||W||2:30 pm – 5:15 pm|
|A5||IND||Youssef||KCB 107||R||12:30 pm – 3:15 pm|
(Three courses/12 credits)
Select three from the following list:
MET AD 510 Mathematics & Statistics in Management
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. ]
|A1||IND||Ritt||EPC 206||F||11:15 am – 2:00 pm|
MET AD 616 Enterprise Risk Analytics
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. ]
|A1||IND||Ritt||CAS 233||M||6:00 pm – 8:45 pm|
|A2||IND||Doddavaram||T||12:30 pm – 3:15 pm|
MET AD 724 Quantitative Approaches in Management
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. ]
MET AD 734 Quality Management
Course participants will be exposed to the fundamental principles involved in the analysis and 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 management principles, statistical modeling and analysis, 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, statistical data analysis & presentation, statistical modeling using control charts, and statistical analysis of process capability. Students will earn a Six Sigma Green Belt based on satisfactory performance on the final examination. [ 4 cr. ]
|B1||IND||Maleyeff||CAS B18||R||6:00 pm – 8:45 pm|
(One course/4 credits)
MET AD 804 Capstone Project for Supply Chain Management
This course is one of the last courses that a student in the supply chain management program is required to take. Students are expected to carry out independent research on a relevant topic in the area of supply chain management under the supervision of the instructor for the course. [ 4 cr. ]
|B1||DRS||Bialecki||CGS 527||R||6:00 pm – 8:45 pm|
(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.