Administrative Sciences

• MET AD 807: Principles and Best Practices in Project, Program, and Portfolio Management
  Prerequisites: AD515, PM100 Lab -This course is designed to be one of the final courses for a student in the master's degree project management program, pulling together the concepts, tools, and learning from their prior coursework. 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 - aided by guest lecturers who are current, experienced PM practitioners. Students are exposed to research methods and practice, and will produce a Research Paper 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: all MS ABA core courses and at least two MS 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.