Administrative Sciences

• MET AD 508: AD Internship 1
  This course provides graduate students, who seek practical applications in their related field of study, with the opportunity to seek internships. Students enrolled in the course will be individually supervised by a faculty member from the Department of Administrative Sciences. The course may not be taken until the student has completed at least six courses towards their master's program. Graduate standing in the MET MS Management programs is required. The internship credits cannot be applied toward the MS degree program.
• MET AD 509: AD Internship 2
  AD INTERNSHIP 2
• MET AD 510: Mathematics and Statistics in Management
  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.
• MET AD 528: Blockchain Finance
  Cryptocurrencies and the underlying distributed ledger technology (blockchain), have exploded into public consciousness over the last few years, with many industry practitioners arguing that the blockchain technology has the potential to disrupt business and financial services in the way the Internet disrupted off-line commerce. This course covers digital currencies, blockchains, and related topics in the FinTech area using the analytical tools provided by economics, investments and corporate finance.
• MET AD 561: Financial Analytics
  This course presents financial algorithms used in applications of computer science in financial decision analysis, risk management, data mining and market analysis, and other modern business processes. The course covers theoretical background on probabilistic methods used for financial decision making and their application in number of fields such as financial modeling, venture capital decision making, operational risk measurement and investment science. Number of financial applications and algorithms are being presented for portfolio risk analysis, modeling real options, venture capital decision making, etc. The course concludes with algorithms for financial risk assessment and presents the security concepts and challenges of financial information systems.
• MET AD 571: Business Analytics Foundations
  Prerequisite: METAD100 Pre-Analytics Laboratory. This course presents fundamental knowledge and skills for applying business analytics to managerial decision-making in corporate environments. Topics include descriptive analytics (techniques for categorizing, characterizing, consolidating, and classifying data for conversion into useful information for the purposes of understanding and analyzing business performance), predictive analytics (techniques for detection of hidden patterns in large quantities of data to segment and group data into coherent sets in order to predict behavior and trends), prescriptive analytics (techniques for identification of best alternatives for maximizing or minimizing business objectives). Students will learn how to use data effectively to drive rapid, precise, and profitable analytics-based decisions. The framework of using interlinked data inputs, analytics models, and decision-support tools will be applied within a proprietary business analytics shell and demonstrated with examples from different functional areas of the enterprise. R, SQL, and Power BI software are used in this course.
• MET AD 575: Digital Brand Management
  Explore the dynamics of building and managing digital brands in today's technology-driven digital marketplace and delve into the nuances of digital customer needs, brand creation, and communication strategies. Students will engage with concepts such as brand equity, digital design principles, neuroscience influences on branding, and compelling social media storytelling. Additional insights into personal and diverse forms of branding and future trends and challenges in the digital branding landscape are also covered. This course equips students with critical skills for developing strong brand identities and managing brand reputation across business models, preparing them for success in various digital branding roles.
• MET AD 576: Social Media Marketing
  This course is designed to help you understand how marketing has (and has not) changed due to the rise of social media and changes in various underlying contextual factors, such as dramatically increased speed of information dissemination across consumers and brands. The overarching goal is to obtain a clear perspective on digital/social/mobile marketing so that you can appreciate its true value to consumers, to managers, and to other corporate stakeholders. It will equip you with the relevant knowledge, perspectives, and practical skills required to develop marketing strategies that leverage the opportunities inherent in social media and consumer-to-consumer social interactions for achieving business and marketing goals.
• MET AD 577: AI Enabled Marketing
  This course offers an in-depth exploration of artificial intelligence (AI) applications within modern marketing strategies applied to a dynamic and data-driven marketing environment. It enables students to master AI tools and techniques such as Google Cloud, Tensorflow, IBM Watson, and HubSpot, essential for enhancing customer segmentation, content customization, and overall marketing efficiencies. Students will learn to develop AI-driven chatbots, optimize user experiences, and automate complex marketing processes, preparing them to meet contemporary digital marketing challenges and opportunities effectively.
• MET AD 580: Environmental, Social, and Governance (ESG) Investments
  Prerequisites: MET AD 717 or consent of instructor.- A comprehensive investments course introducing important aspects of investing, including environmental, social, and governance issues, and their role in corporate risk management, financial markets, and investments, presented from the viewpoint of market participants and corporate leadership. The course incorporates the mechanics of investing sustainably, with long-term planning on a micro and macro level. Topics will include an introduction and understanding of the ESG market, defining the environmental, social, and governance factors important for investment decision-making, and the importance of corporate engagement and stewardship. The course will also cover ESG analysis, valuation, and integration in portfolio management.
• MET AD 581: Energy Transition: Markets and Regulation
  The goal of the course is to give the student a clear, practical understanding of significant pieces of the energy "puzzle" as a guide to understanding how energy is produced and consumed -- as market forces dictate - both in the United States and abroad. Students considering this course can have various backgrounds/knowledge of energy, but most importantly, an interest in understanding the transitions needed to achieve climate-related goals. The student will be challenged to explore energy transition opportunities and decarbonization's imperative through finance, policy, markets, and regulation.
• MET AD 587: Interdisciplinary Methods for Quantitative Finance
  This course expands upon the foundations of finance theory with interdisciplinary approaches from statistical physics and machine learning. The course equips the students with the Python tools to tackle a broad range of problems in quantitative financial analysis and combines the study of relevant financial concepts with computational implementations. Students will learn to use packages like Numpy, Pandas, Statsmodels and Scikit, which are commonly used in research and in the industry. Prerequisites: MET AD 685 or PY 355 or equivalent or consent by the instructor.
• MET AD 599: Python and SQL for Business Analytics
  Prerequisites: AD100 - Python is a modern, high-level programming language. One of the most popular programming languages, its use has steadily increased across a large number of industries. This course introduces students to the Python environment and teaches a solid foundation in the basic syntax and structure. Structured Query Language (SQL) is the most common language globally for interacting with relational databases. Employers have indicated that knowledge of SQL is one of the most important skills for new graduates entering the workforce. Even with advances in database technologies and languages for handling heterogeneous data types, SQL remains the core skill for interacting with data. This course introduces both languages to equip students pursuing an analytics education with the skills necessary to succeed in the analytics and data visualization field. The outcome of this course will be a focused survey of Python and SQL topics designed to equip analytics professionals rather than a deep focus on technical programming topics.
• MET AD 601: Digital Platforms and Quantitative Marketing
  This course focuses on identifying and assessing platform business practices and understanding their target consumers' attitudes and behaviors through theoretical models, case studies, and quantitative data analysis. Students will understand the effects of network and platform technology on business success and learn how to analyze platform consumer data through Python basics, text analysis, sentiment analysis, and network analysis methods.
• MET AD 612: COO-Public Emergency Management
  Prerequisites: MET AD610 - This course examines emergency management from national, state, local, and family perspectives of prevention, preparedness, response, and recovery. The course encompasses knowledge of the specific agencies, organizations, and individual behaviors in emergency management as well as the interlinking partnerships between/among these groups. Areas of discussion include: responsibilities at federal, state, community and individual levels; guidelines and procedures for operations and compliance such as the National response Plan; Incident Command Systems (ICS); exercises; plan development, command, and control; communication; partnership development and maintenance; leadership; and numerous other elements related to effective emergency management. The unique and critical roles of private and public partnerships are reviewed and particular attention is paid to the interplay and interdependency among national, state, community, business (public and private), and the individual. 4cr.
• MET AD 613: Enterprise Risk Planning and Compliance
  Prereq: MET AD610 - Students are exposed to the important issues relating to corporate and organizational security and risk from both the perspective of systems designed to protect against disasters and aspects of emergency preparedness should systems fail. Engineering science is applied to security areas that include information technology, terrorism, and other organization disruptions. Students study proactive risk assessment through analytical risk analysis techniques and simulations. Students will be able to design a company or agency global assurance plan, organize the strategy to make the plan operational, and implement control measures to assess the plan's degree of success. The course also provides explanations of legal/regulatory, auditing, and industry- specific requirements related to compliance, control, and reporting issue sin business risk management. The role of establishing and maintaining standards by local, national, and international agencies is discussed, as is the importance of these agencies in certifying operations.
• MET AD 614: Disaster Management
  Prerequisite: MET AD617 -This course takes concepts covered in MET AD617 and applies them in more detail mainly to the corporate-private sector environment. During this course, we will first review the organization and processes necessary to effectively respond to and manage incidents, including the transition from emergency response and incident management to business recovery. The course will focus on disaster recovery, an absolutely essential but sometimes overlooked component of any successful corporate recovery program. Here, the emphasis is on technology recovery. This includes reviewing the key components of the IT infrastructure; how these components are accounted for in the response and recovery processes; and some best practices in technology recovery modelling. Several emerging technologies relative to cloud computing, information security, etc., are also examined. Prereq: MET AD617
• MET AD 616: Enterprise Risk Analytics
  Prerequisite: MET AD 571. - The course offers an overview of the key current and emerging enterprise risk analytical approaches used by corporations and governmental institutions and is focused on understanding and implementing the enterprise risk management framework on how to leverage the opportunities around a firm to increase firm value. The major risk categories of the enterprise risk management such as financial risk, strategic risk, and operational risk will be discussed and risk analytics approaches for each of these risks will be covered. Students will learn how to use interlinked data inputs, analytics models, business statistics, optimization techniques, simulation, and decision-support tools. An integrated enterprise risk analytics approach will be demonstrated with examples from different functional areas of the enterprise. Python, R, SQL, and Power BI software are used in this course.
• MET AD 617: Business Continuity Management
  The course presents, assesses, and discusses the contemporary theories, methods and practices related to business continuity (BC), business continuity management (BCM) and resiliency planning. The course incorporates the underpinnings of enterprise-wide risk management (ERM); however, it is designed to focus on broad-based threats, vulnerabilities, unexpected events, emergencies, and crises that may impacts organizations and their leaders and professionals. The course focuses on the design, development and applications of resilience, emergency planning, crisis management, BC, and disaster recovery used by organizations in the private sector. It presents a comprehensive, cutting-edge technologies pertaining BCM in complex organizations and challenging environments. Technological innovations are used to involve a complex array of high-level developments that result in transitions and transformations of businesses. Finally, the environmental considerations center on connections between business and the natural law.
• MET AD 618: Technology Risk Management
  Prerequisite: MET AD 610 - Discover how leading organizations manage a wide array of technology-related threats and vulnerabilities, ranging from routine outages and operational errors to infrastructure breakdowns and systems failures - right up to significant data breaches, denial of service and ransomware attacks. You will review principles of technology resilience and its role within the organizational enterprise risk management structure. From there, the greater technology risk landscape is evaluated, the importance of governance and compliance are reinforced, and the infrastructure and processes necessary for organizations to effectively manage technology-related incidents are examined. The course also includes an examination of how enterprises transition from incident management to technology recovery, and how leading companies design and implement cybersecurity and privacy programs.