Online Master of Science in Insurance Management

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. [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]

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: 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. [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]

Prereq AD642
This course will introduce students to Project Value - - a unique perspective on classical Project Management that is focused on assuring that a project delivers value that is aligned with the mission, vision, and values of an organization. This increasingly popular framework with which to view projects and project management is derived from current research, standards, and thought leadership from PMI and other international bodies . Students will learn how to create value in projects even in today's disruptive, turbulent environment. They will learn how to apply the conceptual framework of benefits realization management (BRM) and to use tools to manage a portfolio of programs and projects strategically with an aim of sustainable project value. Value in Agile projects will be discussed. The element of the Triple Bottom Line and a focus on sustainability is part of the subject matter. Case studies and real life experiences, illustrated with guest lectures, will be intertwined with current research in project management. [4 credits]