Accelerated Online MBA in Logistics and Supply Chain Management

Explore purchasing and materials management practices and strategies implemented throughout industry. Topics analyzed include purchasing proposal solicitation and evaluation, supplier evaluation, contract development and execution, inventory control, lean logistics, supplier development, material flow, forecasting, supply chain integration, responsible procurement and e-procurement.

Analyze the integration of information systems within logistics and supply chain operations. Topics include Supply Chain Management (SCM) systems, Enterprise Information Systems (ERPs), warehousing and transportation systems, Customer Relationship Management Systems (CRMs), transaction processing systems and Decision Support Systems (DSS). Special emphasis will be placed on the integration of SAP ERP within supply chains.

Study logistics and supply chain management through case studies. Students will analyze numerous logistics and supply chain cases and propose recommendations that would integrate effective supply chain strategies. Some of the topics explored include supply chain optimization, supply chain metrics analysis, reducing supply chain risk, supplier development, supplier selection and management, supporting lean manufacturing and transportation evaluation and selection.

This advanced logistics and supply chain management course explores various inventory control and distribution practices, techniques and best practices. Topics addressed include forecasting, warehousing utilization, automation, and optimization, transportation regulation, inventory control models and techniques and the use of information technology to reduce and control inventory levels.

Study organizing, summarizing, interpreting and reporting data, probability concepts, probability distributions, statistical inference (estimation and hypothesis testing), regression and non-parametric analysis.

Explore a broad range of topics in management science like decision theory, linear programming, non-linear and dynamic programming, transportation and assignment models, network models (PERT-CPM), Markov chains, game theory, inventory models, queuing theory and simulation models.

Learn about the full range of business analytics—descriptive, predictive and prescriptive. This course includes step-by-step instructions to help students learn how to use Excel and Excel add-ons such as XL Miner for data mining and the Analytic Solver Platform for optimization and simulation.

Examine methods for extensive data analysis, spreadsheet use and modeling in two other statistical software, R and Python. Students can learn several analytical methods useful in real-life business-decision making.

A study of the nature of leadership in organizational and social settings through case and literature analysis. Leader effectiveness is examined in terms of personal traits and organizational influence, including sources of leader power, decision making, servant leadership, and transformational change.

A philosophical study of the application of principles of ethics to activities within the complex organization. The critical questions involved in ethical business conduct and an awareness of appropriate concerns for social responsibility are considered.

This course explores various methods of conflict resolution at different organizational levels. It also deals with causes of conflict and the process of conflict management. The case-study method of teaching is employed.

Explore the project management framework, project management processes, project integration management, project scope management, time management and cost management. Students will develop a solid foundation of project management processes and practice that can help lead to effective and successful projects.

Expand on the concepts and practices covered in Project Management I. Topics covered include quality management, human resource management, communication management, risk management, procurement management, stakeholder management and professional and social responsibility.

Explore essential software commonly used in project management. Software such as Microsoft Project®, Microsoft Excel Solver® and Smartsheet® will be utilized to aid in the project management and decision-making process.

In this capstone course, students will identify a project or select a case study to utilize throughout the course to complete a series of deliverables required for project management. Some of these deliverables include a project charter, budget, work schedule matrix, project scope, risk assessment documents and a communication plan.