Courses

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 619: Applied Neuromarketing Research and Ethics
  Neuromarketing is transforming the global marketing industry as a relatively new discipline, quickly transforming how marketers influence consumers and their buying decisions. The rapid increase in the uptake of neuromarketing across multiple business domains and applications across industries is making it imperative that global marketers take heed and start applying them to their marketing strategies as well. This course leverages three core disciplines: marketing, market research, and brain science. In this course, students will learn how neuromarketing is gaining moment in the industry because it leverages how the consumer's brain reacts and responds to specific marketing incentives and stimuli. It ensures that the marketing efforts and their effectiveness are well- measured and accurate through applied neuromarketing analytics in a lab environment. This course also leverages neuromarketing research during lab sessions, using various cutting-edge and innovative techniques through biometric and brain signals to examine consumer behavior and develop relevant marketing strategies.
• MET AD 632: Financial Concepts
  Introduction to the concepts, methods and problems of accounting and financial analysis. Includes accounting principles, measurement and disclosure issues, financial statement analysis, time value of money, cash flow projection and analysis, capital budgeting and project evaluation, bond and equity valuation, cost of capital and capital structure. 4 cr. Effective Fall 2021, this course fulfills a single unit in each of the following BU Hub areas: Quantitative Reasoning II, Critical Thinking.
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  • Critical Thinking
  • Quantitative Reasoning II
• MET AD 644: Finance and Risk Analysis
  Prerequisite: MET PM 100 Lab or MET AD 515 - In this course, you will be introduced to macro and micro approaches to project cost estimation. Case studies of both pre-project and in-process estimating examine some of the more common perils of human irrationality associated with project estimation to help develop more sensible, achievable project outcomes. You will learn how to manage both project cost and schedule objectives using the Earned Value and Earned Schedule Measurement Systems. You will also study risk management through an examination of both individual and overall project risk and apply your learnings using advanced risk management software in an actual case study. Project quality management, procurement/contract management, and project ethics and professional conduct will be explored using case study scenarios.
• MET AD 645: International and Advanced Project Management
  This capstone course provides an opportunity to integrate skills and knowledge, review state-of-the-art issues, and produce deliverables required for successful project management. Students learn advanced simulation tools and techniques that can reinforce project planning and control skills, and enrich leadership skills as they pertain to change-control and decision-making. A key focus of this course is on the development and delivery of project quality management and applying a quality framework to ensure customer satisfaction. Within this topic students learn: quality planning, quality assurance, and quality control. Students also master state-of-the art topics such as: Outsourcing and virtual project management'including global project management practices to overcome national boundaries, geographic distances, and cultural diversity'project portfolio management, and aligning projects to business strategy for optimized enterprise success and PMBOK practices applied in the organization.
• MET AD 646: Portfolio and Program Management
  Prerequisite: MET PM 100 lab or MET AD 515; Corequisite: PM200 lab- This course focuses on the relationship among portfolios, programs, and projects, and the important strategic objectives of each endeavor. It is designed to help you develop a program management framework, policy, and organizational structure. You will gain skills and techniques for chartering constituent projects, directing and managing program execution, and managing the program team and stakeholders. In small groups, you will take a Program from concept to an implementation-ready plan. The global legal, economic, cultural, and political environments in which projects operate will be contrasted, and mechanisms for resolving conflicts will also be addressed.
• MET AD 647: Project Governance and Contract Management
  Prerequisite: MET PM 100 Lab - This course is highly valuable for project and program managers, analysts, consultants, educators, and managers in government, nonprofit, and private institutions, offering a comprehensive survey of the methods of use in monitoring, evaluating, and overseeing projects and programs. You will learn to identify and understand enterprise-wide project interdependencies and gain experience with the tools that determine what pace best complements appropriate planning, scheduling, executing, monitoring, and controlling of the projects within a program in the future. You will develop the ability to assess program results and identify ways to improve program performance, as well as learn to assess factors linking projects under one program and provide guidance on the best allotment of resources between them. Ultimately, you will leave this course with the understanding necessary to shape accountable and responsible organizations with well-defined roles that are based on transparency, resource allocation, decision-making, and enterprise project management.
• MET AD 649: Agile Methods for Technical Innovation and Engineering Management
  Prerequisite: MET PM 100 Lab - In this course, you will gain an understanding of how new Agile principles and practices are changing the landscape of project management and be provided a fresh insight into how to successfully blend Agile and traditional project management principles and practices in the right proportions to fit any business and project situation. You’ll also gain a deep understanding of Agile project management principles and practices in order to see them as complementary rather than competitive to traditional project management. Topics include: Agile fundamentals, principles, and practices; roots of Agile in TQM and Lean Manufacturing; adapting an Agile approach to fit a business environment; planning and managing an enterprise-level Agile transformation; integrating AI into Agile; and scaling Agile to an enterprise level using Agile frameworks and Agile project management tools.
• MET AD 654: Marketing Analytics
  Prerequisite: MET AD 571. Become familiar with the foundations of modern marketing analytics and develop your ability to select, apply, and interpret readily available data on customer purchase behavior, new customer acquisition, current customer retention, and marketing mix optimization. This course explores techniques to support the managerial decision-making process and skills in using state-of-the-art statistical and analytics tools. Students will gain a basic understanding of how transaction and descriptive data are used to construct customer segmentation schemas, build and calibrate predictive machine learning models, and quantify the incremental impact of specific marketing actions. Python and Tableau are used in this course. No prior Python experience is required.
• MET AD 667: Innovation, Global Competitiveness, and National Economic Development
  Examines various approaches to developing high tech innovation based economies as a route to self sufficiency and growth. Factors studied include both structural reforms in the political, legal and economic areas, and government sponsored initiatives in higher education, basic research, private venture capital, grants to support new product development by promising ventures, and the creation of science and technology parks and incubators. Students independently research, write, and present studies of the strategies of various countries. This will be augmented by case studies, reading, and guest speakers on strategies being employed in such countries as Taiwan, Thailand, and Brazil.
• MET AD 675: Technology and Innovation in Construction Projects
  Corequisite: MET PM 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 678: Financial Regulation and Ethics
  Financial Regulation and Ethics is a course designed to thoroughly review the important topics of financial regulations, policies, and ethics. The course will explore an overview of the financial systems, their history, problems, and issues for the purpose of understanding the enactment of regulations as a method to protect the financial systems and investors. Also, regulators and their authority will be identified, both domestically and internationally. Ethics, an extremely important aspect of finance will be discussed and explored. Ethics is a difficult topic to define and can be impacted by social norms. During the ethics portion of the course, students will study where ethics have failed and caused major issues for the financial marketplace and individual companies.
• MET AD 680: Global Supply Chains
  This course covers the quantitative analysis tools to support operations management for a supply chain that is geographically dispersed and culturally diverse. The tools necessary to assure that the products/services are delivered/provided in the quality and timely manner include demand forecasting, inventory and capacity buffer optimization, delayed differentiation, statistical risk pooling, and stochastic inventory optimization. These tools are applied to decisions such as offshoring, multi-country outsourcing, push-pull, reverse supply chains, and risk mitigation. Particular attention is given to sustainability, information technology and digitalization, and creating resiliency.
• MET AD 682: Risk Assessment and Security Management
  The course reviews the management issues involved with security and risk analysis. Topics include risk identification, risk management and alternative response actions. Security is analyzed from the numerous perspectives to nclude: infrastructure, employee, visitor and computer systems. Security is resented from the levels of the: firm as well as the local, state and national environment. Focus is on the proactive investment of resources to develop a comprehensive plan that identifies the elements of security and risk analysis as well as presents options for risk mitigation.
• MET AD 685: Quantitative Methods for Finance
  Prerequisite: MET AD 100 Lab. Finance is a highly competitive and dynamic industry that demands quantitative-oriented professionals. This course equips students with empirical techniques which are used in the analysis of financial markets, with a strong focus on financial applications using actual data. The goal of this course is to provide students with a number of econometric techniques which are used in the analysis of financial markets based on asset pricing and corporate finance models. In particular, the emphasis is on classical linear regression models, time series analysis, and limited dependent variable models applied to the following topics: predictability of asset returns; event study analysis; econometric tests of the CAPM and multifactor models; and volatility modeling.
• MET AD 688: Big Data and Cloud Analytics for Business
  Prerequisite: MET AD571 Work with large, complex datasets beyond traditional desktop analytics using Apache Spark (PySpark), DuckDB, Polars, SQL-based data warehousing, and AWS cloud services. You will explore SQL databases through AWS’ Relational Database Service (RDS), learn to build feature engineering pipelines, and scalable machine-learning workflows using Spark MLlib. Key topics include cloud computing parallel processing, management of massive data stores, cloud data architectures, web scraping, API-based data collection, text and web mining, and batch and streaming analytics. You will develop an end-to-end analytics solution from data ingestion and cleaning to modeling, evaluation, and communication, using Python (PySpark), SQL, Git, and GitHub in a cloud-ready AWS environment. By the end of the course, you will be able to design scalable analytics pipelines, manage cloud data environments, and apply distributed machine learning to real-world datasets. The course culminates in a term project implementing a complete big data and cloud analytics workflow.
• MET AD 690: Supply Chain Logistics
  This course covers quantitative approaches to logistics management. It teaches network optimization techniques and center gravity models for location analysis, mathematical programming for selecting the optimal transportation modality, statistical distributions for modeling the statistical uncertainty around the arrivals of trucks to a warehouse or a store, and inventory modeling for optimizing distribution centers. The course introduces mathematical models for warehouse layout decisions, learning curve models, and logistics network design in the context of today's increasingly digitalized supply networks.
• MET AD 699: Data Mining for Business Analytics
  Prerequisites: AD571 Enterprises, organizations, and individuals are creating, collecting, and using a massive amount of structured and unstructured data with the goal of converting the information into knowledge, improving the quality and the efficiency of their decision-making process, and better positioning themselves in the highly competitive marketplace. Data mining is the process of finding, extracting, visualizing, and reporting useful information and insights from both small and large datasets with the help of sophisticated data analysis methods. It is part of business analytics, which refers to the process of leveraging different forms of analytical techniques to achieve desired business outcomes through requiring business relevancy, actionable insight, performance management, and value management. The students in this course will study the fundamental principles and techniques of data mining. They will learn how to apply advanced models and software applications for data mining. Finally, students will learn how to examine the overall business process of an organization or a project with the goal of understanding (i) the business context where hidden internal and external value is to be identified and captured, and (ii) exactly what the selected data mining method does. Python, R, SQL, and Power BI software are used in this course.
• MET AD 709: Case Studies in Current Corporate Financial Topics
  Prerequisite: MET AD 522. The course will help you to leverage what you have learned in both accounting and finance and apply that knowledge to current issues in the business world in areas such as Business Ethics; Corporate Responsibility, ESG & Responsible Investing; Risk Management; Financial Forecasting; Cost of Capital & Rate of Return; Organic Growth Strategies; Valuation; Mergers & Acquisitions; Turnarounds and Bankruptcies.
• MET AD 712: Financial Markets and Institutions
  Investigates and analyzes organization, structure, and performance of US money and capital markets and institutions. Examines regulation of the financial industry and the role of financial instruments.
• MET AD 713: Derivative Securities and Markets
  Prerequisite: MET AD 522. The course will help you to leverage what you have learned in both accounting and finance and apply that knowledge to current issues in the business world in areas such as Business Ethics; Corporate Responsibility, ESG & Responsible Investing; Risk Management; Financial Forecasting; Cost of Capital & Rate of Return; Organic Growth Strategies; Valuation; Mergers & Acquisitions; Turnarounds and Bankruptcies.