Online Master of Science in Insurance Management

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. [4 credits]

Th

Th

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. [4 credits]

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. [4 credits]

Prereq: MET PM100
This course introduces students 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. Students learn how to manage both project cost and schedule objectives throughout their projects using the Earned Value and Earned Schedule Measurement Systems. Students then study risk management through an examination of both individual and overall project risk and apply their learnings using advanced risk management software in an actual case study. Students also study project quality management, procurement/contract management, and project ethics and professional conduct using case study scenarios. [4 credits]

公关

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. [4 credits]

Prereq: METAD571
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 approaches and techniques to support the managerial decision-making process and skills in using state-of-the- art statistical and analytics tools. Students will have an opportunity to gain a basic understanding of how transaction and descriptive data are used to construct customer segmentation schemas, build and calibrate predictive models, and quantify the incremental impact of specific marketing actions. Python, R, SQL, and Power BI software are used in this course. [4 credits]

Prereq AD100, ADR100, AD571
Explore web analytics, text mining, web mining, and practical application domains. The web analytics part of the course studies the metrics of websites, their content, user behavior, and reporting. The Google Analytics tool is used for the collection of website data and doing the analysis. The text mining module covers the analysis of text including content extraction, string matching, clustering, classification, and recommendation systems. The web mining module presents how web crawlers process and index the content of websites, how search works, and how results are ranked. Application areas mining the social web and game metrics will be extensively investigated. R, SQL, and Power BI software are used in this course. [4 credits]

公关

Introduction to the concepts, methods, and problems of financial and managerial accounting. Includes data accumulation, accounting principles, financial statement analysis, measurement and disclosure issues, cost analysis, budgeting and control, production costs, and standard costs. [4 credits]

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. [4 credits]

Finance is a highly competitive and dynamic industry that demands quantitative oriented professionals. This course will equip students with the 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 will be 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; volatility modelling, etc. [4 credits]

Undergraduate Prerequisites: MET AD 630 - Emphasizes issues of accounting, finance, and economics that are important in most management contexts. Stresses understanding financial statements, planning and control, cost and benefit evaluation, cash flow analysis, and capital budgeting. [4 credits]

Prereq PM 100, PM200
The course focuses on the relationship among portfolios, programs, and projects, and the important strategic objectives of each endeavor. The course is designed to assist students in developing a program management framework, policy, and organizational structure. Students will develop skills and techniques for chartering constituent projects, directing and managing program execution, and managing the program team and stakeholders. The global legal, economic, cultural, and political environments in which projects operate will be contrasted, and mechanisms for resolving conflicts will be addressed. [4 credits]

联合国

Gr

Prereq: MET PM100
The course provides an understanding of how new Agile principles and practices are changing the landscape of project management. The course is designed to give project managers fresh new 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. The course provides 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; scaling agile to an enterprise level using enterprise-level Agile frameworks and Agile Project Management tools. 4cr. [4 credits]

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. [4 credits]

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. [4 credits]

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. [4 credits]

Course participants will be exposed to the fundamental principles involved in the analysis and management of quality for enterprises and their supply chain. Quality is defined in the broadest sense, encompassing all performance components that drive customer satisfaction. The course focuses on management principles, statistical modeling and analysis, and their application in a variety of industrial, service, healthcare, and educational environments. Topics include the Deming philosophy of management, Six Sigma and the DMAIC project framework, quality certification systems, statistical data analysis & presentation, statistical modeling using control charts, and statistical analysis of process capability. Students will earn a Six Sigma Green Belt based on satisfactory performance on the final examination. [4 credits]

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. [4 credits]