Supply Chain Management and Logistics

Major: Supply Chain Management and Logistics
Degree Awarded: Master of Science in Supply Chain Management and Logistics (MS)
Calendar Type: Quarter
Total Credit Hours: 45.0
Classification of Instructional Programs (CIP) code: 52.0203
Standard Occupational Classification (SOC) code: 11-3071

About the Program

Today, companies worldwide are competing in very different ways and very different environments than they were in the past because of technological advances. Operations, Supply Chain Management, and Logistics are key functions through which companies can gain strategic advantage, and companies are hiring graduates to drive innovations for their new economic surroundings. 

The Drexel MS Program in Supply Chain Management and Logistics is delivered in two tracks:

  • For students in the Industry Professional Track, we are committed to increasing their supply chain competencies and leadership abilities. We work with organizations and leaders from around the world to help shape strategies that inspire competitive advantage and business success.
  • For students in the Research Track, we leverage industry relationships to inform the development of theory and models that advance the field.  Research seminars led by our top-notch faculty prepare our MS students to enter PhD programs and become academic leaders.

Additional Information

For additional information about the program or to schedule an appointment, please contact the Department of Decision Sciences and MIS.

Degree Requirements

All students will be required to take a series of foundation courses in the management of operations and the quantitative methods that support analysis and decision making for supply chain management and logistics. After the common core, the students will choose one of the following tracks:

(1) Industry Professional Track: This track covers a range of topics for practical management decisions over multiple horizons for different types of supply chains and prepares the students for effective leadership in an increasingly complex, dynamic, global business environment.

(2) Research Track: This track goes deeper into the theoretical foundations of decision making in supply chains and prepares students for doctoral studies in the area.

Foundations:
POM 601Operations Management3.0
POM 602Strategic Operations & Quality3.0
POM 620Management of Manufacturing Firms3.0
POM 624Management of Service Firms3.0
POM 625Supply Chain Management3.0
Quantitative Methods
STAT 601Business Statistics3.0
OPR 601Managerial Decision Models and Simulation3.0
Select one of the following tracks:24.0
Industry Professional Track
Managing with Enterprise Application Software using SAP - Logistics
Materials Management
Quality & Six-Sigma
Select four of the following:
Essentials of Economics
Microeconomics
International Economics
Business & Economic Strategy: Game Theory & Applications
Information Systems Outsourcing Management
Managing with Enterprise Application Software using SAP-Accounting & Analytics
Decision Models for the Public Sector
Leadership and Professional Development
Leading Effective Organizations
Negotiations for Leaders
Sustainable Supply Chain Management and Logistics
Managing Queues for Service Operations
Revenue Management
Advanced Statistical Quality Control
Supply Chain Management and Logistics Practicum
Research Track
Supply Chain Management and Logistics Master's Thesis
Operations Research Methods I
Decision Processes in Operations Management
Inventory Models Seminar
Supply Chain Management Seminar
Scheduling Theory
Total Credits45.0

Sample Plan of Study

Plan of Study for the Industry Professional Track:

First Year
FallCredits
OPR 601Managerial Decision Models and Simulation3.0
POM 601Operations Management3.0
STAT 601Business Statistics3.0
 Term Credits9.0
Winter
POM 620Management of Manufacturing Firms3.0
POM 624Management of Service Firms3.0
Track Elective 13.0
 Term Credits9.0
Spring
POM 602Strategic Operations & Quality3.0
POM 625Supply Chain Management3.0
Track Elective 23.0
 Term Credits9.0
Summer
STAT 634Quality & Six-Sigma3.0
Track Elective 33.0
Track Elective 43.0
 Term Credits9.0
Second Year
Fall
MIS 661Managing with Enterprise Application Software using SAP - Logistics3.0
POM 622Materials Management3.0
POM 770Supply Chain Management and Logistics Practicum3.0
 Term Credits9.0
Total Credit: 45.0

Plan of Study for the Research Track

First Year
FallCredits
OPR 601Managerial Decision Models and Simulation3.0
POM 601Operations Management3.0
STAT 601Business Statistics3.0
 Term Credits9.0
Winter
OPR 922Operations Research Methods I3.0
POM 620Management of Manufacturing Firms3.0
POM 624Management of Service Firms3.0
 Term Credits9.0
Spring
POM 602Strategic Operations & Quality3.0
POM 625Supply Chain Management3.0
POM 900Decision Processes in Operations Management3.0
 Term Credits9.0
Summer
POM 771Supply Chain Management and Logistics Master's Thesis9.0
 Term Credits9.0
Second Year
Fall
POM 922Inventory Models Seminar3.0
POM 925Supply Chain Management Seminar3.0
POM 930Scheduling Theory3.0
 Term Credits9.0
Total Credit: 45.0

Facilities

In fall 2013, LeBow College opened its 12-story, Gerri C. LeBow Hall, with a finance trading lab, behavioral studies lab and integrated teaching technology in all classrooms. The new building features two lecture halls, 15 classrooms of varying sizes and seating configurations, including case study rooms and cluster classrooms designed to facilitate group work. Other amenities consist of extensive areas of student spaces, including 12 collaboration rooms, two quiet study areas, and 3,500 square feet of student lounges. Gerri C. LeBow Hall brings together faculty, students and staff, in a state of the art building on the University City campus. Please visit the LeBow College of Business webpage to learn more about Gerri C. LeBow Hall.

Supply Chain Management Faculty

Avijit Banerjee, PhD (The Ohio State University) Department of Decision Sciences. Professor. Interface with Marketing, Pricing Revenue Management, Inventory Control, Operations Planning and Scheduling, Production Planning and Control, Supply Chain Management
Hande Benson, PhD (Princeton University) Assistant Department Head, Decision Sciences & MIS. Associate Professor. Interior-point methods, Large Scale Optimization, Mathematical Programming, Nonlinear Optimization, Operations and Supply Chain Optimization, Optimization Software, Portfolio Optimization
Oben Ceryan, PhD (University of Michigan Ann Arbor) Department of Decision Sciences. Assistant Professor. Dynamic Pricing, Inventory Control, Revenue Management, Stochastic Optimization, Supply Chain Management
Christopher Gaffney, PhD (Rutgers University, New Brunswick). Assistant Clinical Professor. Applied Probability, Decision Theory, Risk Analysis
Seung-Lae Kim, PhD (Penn State University) Department of Decision Sciences. Professor. Inventory control, Production Planning and Control, Quality Management, Six-Sigma, Supply Chain Management
Jinwook Lee, PhD (Rutgers University, New Brunswick). Assistant Clinical Professor. Decision Models, Mathematical Programming, Risk Assessment Stochastic Optimization, Stochastic Processes.
Benjamin Lev, PhD (Case Western Reserve University). Trustee Professor. Inventory Control, Mathematical Programming, Operations Planning and Scheduling.
Chuanren Liu, PhD (Rutgers University). Assistant Professor. Data Mining, Decision Models, Risk Assessment, Sequential Analysis.
Fariborz Y. Partovi, PhD (The Wharton School, University of Pennsylvania) Department of Decision Sciences. Professor. Manufacturing Technology Development, Quality Implementation, Quality Management, Service Management, Six-Sigma
Wenjing Shen, PhD (University of Michigan) Department of Decision Sciences. Associate Professor. The interface of operations management and marketing; inventory management; supply chain management.
Min Wang, PhD (Columbia University) Department of Decision Sciences. Assistant Professor. Healthcare Operations Management, Inventory Control, Production Planning and Control, Service Management, Supply Chain Management
Chaojiang Wu, PhD (University of Cincinnati). Assistant Professor. Business Analytics, Computational Statistics, Healthcare Analytics, Semiparametric Regression, Statistical Data Mining.
  • Schedule of Classes
  • All Course Descriptions
  • Co-op
  • Academic Advising
  • Admissions
  • Tuition & Fees
LEARN MORE