Supply Chain Analytics, MS

Dr. Vinod Vincent, Director 

Mission and Goals

The Master of Science in Supply Chain Analytics (MSSCA) will provide the knowledge and develop the student’s skills in degree area. These skills will be used to make decisions and perform the activities of the supply chain. In today’s business environment the development of supply chain management has become highlighted and is considered to be very important. Many jobs in supply chain are considered to be in the high demand category.

Program Format

This fast-track program will take 12 to 24 months to complete and is designed for busy students whose time is already at a premium. All Master of Science in Supply Chain Analytics courses are offered online in 8-week sessions. This format allows students the flexibility to arrange a plan of study to fit their individual schedules. Students are encouraged to have a minimum of three (3) credit hours per session. Fall and Spring Semesters have two 8-week sessions; the Summer Semester consists of one 8-week session.

The curriculum is structured to challenge students and open minds to new ways of thinking about business. Courses include lectures, case discussions, current business issues, and team projects.  All students enrolled in the program will complete a minimum of 30 credit hours. Ten courses are required.

Program Learning Outcomes

Student career advancement will be achieved in the Master of Science in Supply Chain Analytics program with the following Program Learning Outcomes (PLO):

Graduates of this program will be able to:

  1. Analysis: Use analytics tools to make decisions in the business environment.
  2. Functional Knowledge: Develop knowledge of the core areas of Supply Chain Management, including logistics management, operations management, purchasing management, and international trade and logistics.
  3. Problem Solving: Identify issues and solve problems found in the management of a firm’s supply chain using analytical and data science methods.

Admission Requirements

College of Business candidates must follow School of Graduate Studies and University Graduate admission policies and procedures.  Admission into the Master of Science in Supply Chain Analytics degree program is based on several factors as outlined below to ensure a talented and diverse student body.

  • Completed online application to the School of Graduate Studies
  • Bachelor’s degree in any field (or equivalent in the case of those with an international education background) with a minimum of 2.9 GPA OR an advanced degree in any field (Master’s or higher) from an accredited College or University, as verified by an official transcript.

If the applicant does not meet the above requirement, the following additional documents must be submitted to be considered for admission. 

  • Essay of purpose: in 500 words or less, tell us why you want to pursue the graduate degree you are applying for and why you are a good candidate for the program.
  • Current resume detailing professional experience and achievements.

International Students:

  • Due to the online delivery of the program, international students planning to study on an F1 visa should check with the Director of International Student Services about SEVIS restrictions regarding online courses prior to applying.
  • Applicants whose native language is not English or whose language of college instruction was not English are required to submit English Language proficiency through one of the following options: TOEFL (Test of English as a Foreign Language) or the Internet-based TOEFL (iBT) or the International English Language Testing System (IELTS). The following TOEFL scores are acceptable:  a minimum score of 78 for the iBT OR a minimum score of 550 for the paper-based TOEFL.  The total minimum IELTS score is 6.
  • If an applicant has completed any coursework, degree, or degrees from institutions outside of the United States, he or she must utilize  a credentialing evaluating organization. The School of Graduate Studies accepts an official course-by-course evaluation with a GPA that is prepared by either Josef Silnyand Associates ( or World Education Services (

Academic Policies

Master of Science in Supply Chain Analytics students are expected to observe School of Graduate Studies and University Graduate Rules, Regulations, and Academic Policies. Students are expected to maintain Good Academic Standing which is defined as a minimum institutional GPA of 3.0. 

To receive a Master of Science in Supply Chain Analytics graduate degree from Clayton State University, a student usually completes all 30 semester hours of the program requirements from Clayton State University. All semester hours in the program at CSU must be completed after the student has been admitted to the degree program. Transfer of graduate credit is generally not accepted, although a maximum of six semester hours of transfer credit from an AACSB accredited institution may be considered on an individual basis.

Program Withdrawal

Any student who desires to withdraw from the university should contact the Graduate Program Director. Following an exit interview, the student will be issued a copy of the withdrawal form and the Program Director will process the paperwork with the necessary university offices.

Course Load

Six semester hours will be required of all MSSCA students who use financial aid in the Spring, Summer, and Fall Semesters. Students can register for up to four courses in Spring and Fall (two courses in each 8-week session) and three courses in Summer.

Program Requirements

BUSA 5200Decision Making-Uncertainty3
ECON 5101Managerial Economics for SC3
MATH 5221Fnd.s of Business Analytics3
MGMT 5104Project Management3
SCML 5101International Business and Global Logistics3
SCML 5102Operations & Supply Chain Mgmt3
SCML 5105Global Sourcing in SCM 3
SCML 5750Logistics & Supply Chain Strat3
CSCI 5810Data Mgmt & Bus. Intelligence3
CSCI 5811Data Anal. & Visual. for Bus.3
Total Credit Hours30

Business (BUSA)

BUSA 5200. Decision Making-Uncertainty (3) 

This experiential learning, project based course employs quantitative statistical methods as analytical tools to understand and solve management issues for business decision making. There is extensive use of applied business scenarios to illustrate concepts and computer software for data analysis. The successful student will complete this course with the ability to effectively evaluate and interpret statistical results and provide managerial recommendations based on findings. In addition to heavy analytical skills, the successful student will have gained project, client and data management skills to make decisions under uncertainty.

Prerequisites: BUSA 5000

Computer Science (CSCI)

CSCI 5810. Data Mgmt & Bus. Intelligence (3) 

The course provides students with an understanding of database technology and its application in managing data resources and business intelligence. The database design and data retrieval will be introduced. The fundamental concepts of business intelligence, such as classification, clustering, association analysis, and anomaly/novelty detection, will be covered with their applications to the real-world problems. A database management system will be used to illustrate these concepts and applications.

Prerequisites: BUSA 5200 or ITFN 4154 (may be taken concurrently)

CSCI 5811. Data Anal. & Visual. for Bus. (3) 

The course covers data analytics to ensure that the visualizations add to the effective interpretation and explanation of the underlying linked business data. Effective visualization and design are illustrated with a variety of tools to enable effective detection of trends and patterns that can be easily connected to real world events to help explain relationships and interrelationships.

Prerequisites: CSCI 5810

Economics (ECON)

ECON 5101. Managerial Economics for SC (3) 

Managerial Economics is the application of economic theory and methodology to managerial decision making problems within various organizational settings. The emphasis in this course will be on demand and supply analysis and estimation, price elasticity, cost-benefit analysis under different market conditions, marginal analysis, breaking-even analysis, price discrimination, decision-making with risk, auctions, the problem of adverse selection, and the problem of moral hazard. Strategic games, simultaneous and sequential, and their applications in the world of business will be introduced as well.

Management (MGMT)

MGMT 5104. Project Management (3) 

This course provides a foundational understanding of the tools, techniques, and methodologies available for a systems approach to planning, scheduling, and controlling a project. Various project management methodologies may be introduced, including Agile, Scrum, Waterfall, or PMI/PMBOK. Students will apply project management learning in the context of case studies or group project work.

Mathematics (MATH)

MATH 5221. Fnd.s of Business Analytics (3) 

This course covers intermediate principles of the statistics, probability, and analytics required for applications to supply chain analytics. Case studies and real-life applications in supply chain analytics will utilize industry standard computer applications. Students completing this course will understand the broad directions of statistical approaches to analytics and the practical use and interpretation of data.

Prerequisites: BUSA 5200

Supply Chain Management and Logistics (SCML)

SCML 5101. International Business/Global (3) 

This course will familiarize students with the role of international business in the context of Supply Chain Management. Students will learn about topics such as leveraging resources and capabilities and making strategic alliances and networks in the international context as well as entering foreign markets, trade agreements and emerging markets.

SCML 5102. Operations & Supply Chain Mgmt (3) 

The goals of this course are to develop the common principles of supply-chain management techniques and demonstrate how these ideas have transformed the operating processes of industries in the past decade. The techniques must find new ways to collaborate across organizational boundaries to create new value for the end-customer of the supply-chain. Asset productivity strategies are studied by investigating both inbound materials management/production processes and outbound physical distribution procedures. Case studies will demonstrate the importance of ethical approaches to supply chain innovation in areas such as real-time supply chain visibility, e-commerce, and collaborative planning, forecasting and replenishment.

SCML 5105. Global Sourcing in SCM (3) 

The roles and activities of strategic sourcing and operational purchasing, including importation requirements and practices, will be covered. Students will complete a project in global sourcing.

SCML 5750. Logistics & Supply Chain Strat (3) 

This course gives students insights in the strategic role that supply chain management plays in overall corporate competitiveness. Current Supply Chain topics and issues will be covered. Students will work together in small teams to define, research, analyze, and formulate solutions to problems in the supply chain and logistics area.

College of Business

Khamis Bilbeisi
Jacob Chacko
Everod Davis
Linda Hain
Anthony Hannah
Iryna Hayduk
​Craig Hill
Kimberly Johnson
​Reza Kheirandish
​Carin A. Lightner-Laws
​Chen-Miao Lin
​Lawrence K. Menter
​George E. Nakos
​C.R. Narayanaswamy
​Keith Miller
​Kamran Moghaddam
​Mario Norman
​Adel Novin
​Louis Xavier Orchard
​Leon C. Prieto
Stacey Reynolds
Melva Robertson
​Margaret Thompson
​Vinod Vincent
Anita Whiting
Jesse Zinn

College of Information and Mathematical Sciences

Shakil Akhtar
Scott Bailey
Michael Dancs
Keith Driscoll
Weihu Hong
Byron Jeff
Elliot Krop
Catherine Matos
Ken Nguyen
David Plaxco
Junfeng Qu
Muhammad Rahman
Christopher Raridan
Lila Roberts
David Williams

Plan of Study Grid
First Year
First SemesterCredit Hours
Fall Semester - First Term
BUSA 5200 Decision Making-Uncertainty 3
ECON 5101 Managerial Economics for SC 3
Fall Semester - Second Term
MATH 5221 Fnd.s of Business Analytics 3
MGMT 5104 Project Management 3
 Credit Hours12
Second Semester
Spring Semester - First Term
SCML 5101 International Business/Global 3
CSCI 5810 Data Mgmt & Bus. Intelligence 3
Spring Semester - Second Term
SCML 5750 Logistics & Supply Chain Strat 3
CSCI 5811 Data Anal. & Visual. for Bus. 3
 Credit Hours12
Third Semester
Summer Semester
SCML 5102 Operations & Supply Chain Mgmt 3
SCML 5105 Global Sourcing in SCM 3
 Credit Hours6
 Total Credit Hours30