The listing of a course description here does not guarantee a course’s being offered in a particular term. Please refer to the published schedule of classes on MyBU Student Portal for confirmation a class is actually being taught and for specific course meeting dates and times.

  • MET AD 508: AD Internship I
    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 510: Mathematics & Statistics in Management
    The goal of this course is to introduce to students foundational mathematics and statistics knowledge that will provide them skills and tools necessary to succeed in their area of study.
  • 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 540: Project Management for the Built Environment and Infrastructure Development
    Co-Requisite: PMB-100 Lab. - This foundational course provides a comprehensive look at the Construction 4.0 paradigm, the design, development, construction, management, and operation of built environment assets. It emphasizes the synergy between the digital aspects, like Building Information Models (BIM) and Common Data Environment (CDE), with infrastructure and the physical aspects of assets, leveraging cyber-physical systems, IoT, AI, data, and services. The curriculum is built around two main pillars: adopting advanced technologies and integrating project and process enablers and lean principles. This approach ensures efficient asset lifecycle management and prepares students for the technological and procedural advancements in the construction industry. This course will align with the goals of PMI’s Construction Professional in Built Environment Projects (PMI-CP™) credential.
  • 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
    Prereq: AD100 Pre-Analytics Laboratory and ADR100 Introduction to R
    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: Introduction to Python and SQL for Business Analytics
    Prerequisite: PY100 (Intro to Python)
    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 605: Operations Management: Business Process Fundamentals
    This course will provide students with the analytical tools to analyze, manage, and improve manufacturing, service, and business processes. Coverage includes various options to lower operational costs and improve responsiveness to customers' needs, including operating system design, product & service design, capacity analysis & buffering, waiting line optimization, and process quality analysis using statistical approaches. Quantitative methods include application of stochastic simulation, analysis of random outcomes, statistical analysis routines (confidence intervals, hypothesis testing, machine learning), system reliability analysis, and statistical process control. The Deming philosophy of management, Lean operations principles, and Six Sigma process improvement methodologies form the underlying foundation of the course coverage.
  • MET AD 610: Enterprise Risk Management
    This overview course examines the management issues involved with assessing the security and risk environments in both the private and public sectors in order to assure continuous system-wide operations. The course studies the elements of operational and technological risk assessment and operational continuity using a project management framework and quantitative risk metrics. Students are exposed to the role of the firm in crisis response and management as well as the terms, systems, and interactions necessary to assure continuous operations. Topics include: the role and need for comprehensive assurance strategy and planning; information security; an overview of the system-wide structure; the social and emotional impact on the workforce as well as its effect on productivity; and the organizational infrastructure relating to national, regional, and international compliance.
  • 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
    Prereq: METAD571
    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. R, SQL, and Power BI software are used in this course.