Financial Regulations and Ethics

MET AD 678 Come to understand the importance of ethics in finance, and study where ethics have failed and caused major issues for the financial marketplace and individual companies, through this thorough review of financial systems, regulations, policies, and their history. Identify domestic and international regulators and their authority, as well as their methods and role in protecting the financial systems and investors. See the full course description.

Capstone Project for Supply Chain Management

MET AD 804 Deploy the logistical and networking lessons learned throughout your supply chain management graduate studies in this culminating capstone project. Take the acumen you have honed and put it into applied academic practice. See the full course description.

Quantitative Approaches in Management

MET AD 724 Advanced quantitative approaches and methods are introduced and examined in this course, which highlights the way data informs management decisions. Develop the approach-based skills and tools necessary to succeed in managerial decision-making. See the full course description.

Data Mining for Business Analytics

MET AD 699 Modern enterprises create and collect massive amounts of structured and unstructured data. With it, they hope to convert information into knowledge to improve the quality and the efficiency of their decision-making processes. Learn these fundamental principles and techniques of data mining in business contexts in this class, which teaches you how to find, extract, visualize, and report useful information and insights from both small and large datasets with the help of sophisticated data analysis methods. See the full course description.

Business Continuity Management

MET AD 617 Develop a comprehensive understanding of the contemporary theories, methods, and practices related to business continuity, resiliency planning, and enterprise-wide risk management in this course, which focuses on broad-based threats, vulnerabilities, unexpected events, emergencies, and crises that may impact organizations, professionals, and leaders. See the full course description.

Quality Management

MET AD 734 Master the principals involved in managing quality for enterprises and their supply chain—encompassing all performance components that drive customer satisfaction in the industrial, service, healthcare, and educational sectors. Topics include the Deming philosophy of management, Six Sigma and the DMAIC project framework, quality certification systems, data analysis & presentation, quality analysis using control charts, process capability analysis, and competitive benchmarking. See the full course description.

Mathematics and Statistics in Management

MET AD 510 This introduction to core statistical and mathematical concepts builds the foundation needed to thrive in a management career. Develop the skills, tools, and knowledge essential to offering quantitative insights in management and administrative settings. See the full course description.

Multinational Finance and Trade

MET AD 763 Learn to apply the concepts and frameworks of corporate finance to the problems of multinational financial management. Major topics to be covered include private and public institutions, foreign exchange rates, capital flows, speculation, analysis of alternative foreign investments, analysis of sources and uses of corporate funds abroad, multinational tax and profit planning, international risk analysis, and capital budgeting. See the full course description.

Risk Management and Business Continuity Capstone Project

MET AD 805 Apply the lessons learned throughout your enterprise risk management graduate education in this culminating capstone project. Take the resiliency planning and threat management skills you have developed and put them into practice. See the full course description.

Quantitative Methods for Finance

MET AD 685 The competitive and dynamic industry of finance demands quantitative-oriented professionals. Learn the empirical techniques widely used in the analysis of financial markets—with particular focus in financial applications that use actual data—in this class, which emphasizes classical linear regression models, time series analysis, limited dependent variable models, and a number of econometric techniques used primarily in the analysis of financial markets based on asset pricing and corporate finance models. See the full course description.