Program Overview

Supply Chain Management and Analytics (SCMA) Program

The Supply Chain Management and Analytics (SCMA) program offers a comprehensive curriculum that covers various aspects of supply chain management, including operations management, logistics, and analytics.

Course Offerings

The program includes a range of courses, such as:

• SCMA831: Advanced Enterprise Systems
  • Description: Analytical approach to the design, planning, and control of operations management systems.
  • Credit Hours: 3
• SCMA832: Planning and Controlling Supply Chain Systems
  • Description: Taught predominately by the case method, concentrating on higher management decisions involving manufacturing, service, and public sectors.
  • Credit Hours: 3
• SCMA833: Advanced Topics in Supply Chain Management
  • Description: Advanced conceptual and methodological practices in designing and planning supply chain systems.
  • Credit Hours: 3
• SCMA834: Advanced Topics in Lean Supply Chain Management
  • Description: Focus on the improvement of supply chain operations through the application of lean management principles.
  • Credit Hours: 3
• SCMA836: Project Management and Implementation
  • Description: Planning and managing projects from initiation through implementation.
  • Credit Hours: 3
• SCMA837: Risk and Simulation Modeling
  • Description: Analytical and simulation models for decision making in functional areas such as finance, accounting, marketing, personnel, operations, and inventory.
  • Credit Hours: 3
• SCMA839: Global Supply Chain Management
  • Description: Focus on global aspects of supply chain management, with primary emphasis on sourcing and distribution strategies.
  • Credit Hours: 3
• SCMA844: Managing Logistics in the Supply Chain
  • Description: Examination of physical distribution activities in the marketing mix from the viewpoints of both providers and users of components of logistics systems.
  • Credit Hours: 3
• SCMA847: Information Technologies for Operations and Innovation
  • Description: Business leaders must understand how to leverage advanced information technology (IT) for operations and innovation.
  • Credit Hours: 3
• SCMA851: Predictive Analytics
  • Description: Focus on how knowledge management has been successfully applied in business in the form of predictive analytics.
  • Credit Hours: 3
• SCMA852: Data Management and Organization
  • Description: Technology of databases and related human and managerial considerations.
  • Credit Hours: 3
• SCMA853: Data Mining and Descriptive Analytics
  • Description: Data mining applies quantitative analysis to support humans in identifying actionable information from large amounts of data.
  • Credit Hours: 3
• SCMA854: Advanced Analytics and Big Data
  • Description: Covers advanced business analytics topics, including data cleansing, classification, clustering, reduction, exploration, and visualization.
  • Credit Hours: 3
• SCMA855: Prescriptive Analytics
  • Description: Focus on how optimization modeling techniques can be used to make the best decisions in a variety of business analytics applications.
  • Credit Hours: 3
• SCMA935: Decision Theory
  • Description: Provides an overview of decision theory and decision analysis with a focus on decision-making under uncertainty.
  • Credit Hours: 1-3
• SCMA937: Simulation Modeling and Analysis
  • Description: Overview of the uses of simulation and computation for analyzing stochastic models and interpreting real phenomena.
  • Credit Hours: 1-3
• SCMA939: Inventory Management and Procurement
  • Description: Overview of the research literature in inventory management, including topics such as deterministic and stochastic models for inventory control and multi-echelon inventory theory.
  • Credit Hours: 1-3
• SCMA944: Transportation and Logistics Management
  • Description: Provides an overview of the research literature in transportation and logistics modeling.
  • Credit Hours: 1-3
• SCMA945: Service System Design
  • Description: Provides theoretical and methodological background on service system design.
  • Credit Hours: 1-3
• SCMA946: Revenue Management
  • Description: Provides an overview of the research literature in demand management and the use of optimization to derive pricing and revenue management decisions.
  • Credit Hours: 1-3
• SCMA955: Mathematical Programming for Business
  • Description: Provides an overview of mathematical programming theory and techniques.
  • Credit Hours: 1-3
• SCMA956: Stochastic Models for Operations and Supply Chain Management
  • Description: Provides the theoretical foundation in stochastic processes necessary to analyze complex systems that exhibit random behavior over time.
  • Credit Hours: 1-3
• SCMA994: Topics in SCMA
  • Description: Exposure to the variety of methods used and topics studied in operations management, supply chain management, and analytics.
  • Credit Hours: 1
• SCMA996: Directed Reading or Research
  • Description: Individual research or reading on a selected problem in operations management, supply chain management, or analytics.
  • Credit Hours: 1-3
• SCMA999: Doctoral Dissertation
  • Description: Research credits required for a doctoral dissertation for completion of degree.
  • Credit Hours: 1-12

Program Requirements

The program requires students to complete a range of courses, including core courses, elective courses, and research credits. The specific requirements for each course and the program as a whole are outlined above.

Research Areas

The SCMA program focuses on various research areas, including:

• Operations management
• Logistics
• Supply chain management
• Analytics
• Decision theory
• Simulation modeling and analysis
• Inventory management and procurement
• Transportation and logistics management
• Service system design
• Revenue management
• Mathematical programming for business
• Stochastic models for operations and supply chain management

Admission Criteria

Admission to the SCMA program requires a strong academic background, relevant work experience, and a demonstrated interest in supply chain management and analytics. The specific admission criteria are not outlined in the provided context, but it is likely that applicants will need to meet certain GPA requirements, submit letters of recommendation, and provide a personal statement outlining their research interests and goals.