Administrative Sciences

• MET AD 746: Business Law and Regulation for Entrepreneurs
  Examines legal issues that affect high technology firms. Topics include copyright, reverse engineering, trade secrets, patents, international legal differences, the Uniform Commercial Code, and product liability. Cases drawn from high tech industries are used to emphasize current and future developments.
• MET AD 760: International Trade and Logistics
  This course provides extensive insight into international trade practices and corporate decision-making criteria attendant to global import/export and other market entry strategies, and management of international logistics operations including global sourcing, global transportation, facility network design, intermediaries, and trade documentation. Topics include operations, government agencies, import/export channel networks, and the evaluation of international opportunities with the help of a business simulation package specifically prepared for this course. It is designed to provide students with the skills and tools necessary for international trade and international logistics management.
• MET AD 763: Multinational Finance and Trade
  Graduate Prerequisites: (METAD 731) - Prereqs: AD 630, AD 731. Applies the concepts of corporate finance and risk mitigation to the problems of multinational financial management. Major topics include foreign exchange risk, and construction of hedging strategies using derivative instruments such as forwards, futures, and swaps to reduce multinational corporate risk. Addresses international financial flows and their impact on foreign exchange rates, capital flows, speculation, analysis of alternative foreign investments, analysis of sources and uses of corporate funds abroad, multinational tax and profit.
• MET AD 764: Multinational Tactics, Strategy, and Positioning
  Graduate Prerequisites: (METAC730 & METAD731) - Introduces the student to the contemporary word of international business through an examination of the social, cultural, economic, ecological and commercial aspects that impact global operations. Emphasis is on both the thorough understanding of the effect that international business has on the different functional aspects of the enterprise as well as the manner in which firms organize, operate and formulate strategies in order to maximize their chances of successful operations.
• MET AD 782: Project Value Strategies
  Undergraduate Prerequisites: METAD 642 - Prereq AD 642. This course will introduce students to Project Value - a unique perspective on classical Project Management that is focused on assuring that a project delivers value that is aligned with the mission, vision, and values of an organization. This increasingly popular framework with which to view projects and project management is derived from current research, standards, and thought leadership from PMI and other international bodies. Students will learn how to create value in projects even in today's disruptive, turbulent environment. They will learn how to apply the conceptual framework of benefits realization management (BRM) and to use tools to manage a portfolio of programs and projects strategically with an aim of sustainable project value. Value in Agile projects will be discussed. The element of the Triple Bottom Line and a focus on sustainability is part of the subject matter. Case studies and real life experiences, illustrated with guest lectures, will be intertwined with current research in project management.
• MET AD 795: Directed Research I
  Graduate Prerequisites: consent of department chairman and instructor. - Independent study of special topics under faculty guidance.
• MET AD 796: Directed Research 2
  Graduate Prerequisites: consent of department chairman and instructor. - Independent study of special topics under faculty guidance.
• MET AD 799: Deep Learning for Business Analytics
  Prerequisites: MET AD 599 and MET AD 571. - This course focuses on applying deep learning techniques to solve practical problems in business analytics. Students will explore foundational concepts of deep learning, including MLPs (Multi-Layer Perceptrons), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and advanced architectures like Generative Adversarial Networks (GANs), Graph Neural Networks (GNNs), and Transformers. Through lectures, hands-on projects, and real-world datasets, students will develop the skills to design, train, and optimize deep learning models to extract insights and drive decision-making in business contexts.
• MET AD 800: Master's Thesis 1
  Prerequisites: Six completed program courses. An extensive research project culminating in a written paper and oral defense. Research is conducted under intensive faculty supervision. Requires department approval and thesis supervisor from full-time faculty.
• MET AD 801: Master's Thesis 2
  Prerequisites: MET AD 800. The second course of an extensive research project culminating in a written paper and oral defense. Research is conducted under intensive faculty supervision. Requires department approval and thesis supervisor from full-time faculty.
• MET AD 804: Capstone Project for Supply Chain Management
  This course provides an opportunity for supply chain students to apply various methodological tools to solve a real world problem supported by an external sponsor or generated as a research project. Projects require the use of quantitative and qualitative tools to analyze supply chain performance, quantify supply chain risks, optimize logistics networks, optimize inventory levels, or evaluate capacity decisions. Specific methodologies include mathematical modeling, data mining, statistical analysis, inventory optimization, network optimization, process analysis, and waiting line modeling and optimization.
• MET AD 805: Capstone Project in Enterprise Risk Management
  A directed study course consisting of an applied research project that concerns a special topic of interest to an Enterprise Risk Management (ERM) student. The course is especially designed for working professionals who have special ERM- related interests that are not covered in existing courses. The project generally culminates with a written paper and oral presentation. Research is conducted under intensive faculty supervision. Requires department approval and project supervisor from full-time or part-time faculty.
• MET AD 807: Principles and Best Practices in Project, Program, and Portfolio Management
  This course is one of the last courses that a student in the master's degree project management program is required to take. Students are expected to carry out independent research on a relevant topic in the area of project management under the supervision of the instructor. This course focuses on emerging trends and reviews unique methodologies and approaches to project management. Students are exposed to research methods and practice that contributes to original research in the emerging project management areas. Approval of the instructor is required.
• MET AD 808: Capstone Project in Financial Management
  CAPSTONE IN FM
• MET AD 856: Market and Economic Research and Analysis
  This course will provide a comprehensive discussion of market and economic research and analysis, their key concepts, process description, qualitative and quantitative techniques for market research and data analysis, and application scenarios. Students will gain an appreciation for some of the breadth and depth of this subject and its significance for the business enterprise -- both from start-up entrepreneurship as well as an established business organization. The structure of the course is based on the six steps of the market research process: problem definition, development of an approach to the problem; research design formulation; fieldwork and data collection; data preparation and qualitative and quantitative analysis; report preparation, and presentation.
• MET AD 899: Capstone Project in Applied Business Analytics
  Prerequisites: at least three of the ABA elective courses The Business Analytics Capstone Project provides valuable learning experiences and opportunities to apply a set of techniques, competencies, and procedures acquired after the completion of all core and specialization courses within the MS in Applied Business Analytics program. The purpose of this course is to obtain insights about a business that results in improved data-driven decision- making to create value on different levels of an enterprise. Includes application of statistical, stochastic, and dynamic modeling, data mining, forecasting, and operations research techniques to the analysis of problems of business organization and performance. R, Python, SQL, and Power BI software are used in this course. The solving of real problems facing different size companies are assigned to small teams of students and is overseen by our curriculum advisory board, ABA faculty, and business partners from a range of industries.