Courses

Course offerings reflect the 2018-2019 Elmhurst College Catalog. One unit of credit equals four semester hours.

Core Courses | Electives

Core Courses

.75 credit

This course is designed to develop students’ core skills in initiating and planning projects. The course covers scope development, risk assessment, business case development and determination of stakeholders to initially create the case for the project. The core skills outlined in this course include budget, project schedule, change management, role definition and project approval. They are critical ingredients to the successful start-up of a project and are also essential for the first two performance domains of the Project Management Professional (PMP) Exam. Prerequisite: MBA 509.

.75 credit

This course provides students with core project management skills essential for preparation of the remaining domains within the Project Management Professional (PMP) Exam. Critical skills include managing procurement, managing the execution of project activities, measurement and control activities, and closing the project. Prerequisite: MBA 509.

.75 credit

This course outlines the variety of tools and methods necessary to effectively manage projects. Project plans, Gantt charts, PERT charts, Critical Path Methodology, SDLC (System Development Life Cycle) and other tools are discussed, built and utilized as well as other methodologies that are employed during a project. Students will learn to use Microsoft Project, a key software tool. Prerequisites: MPM 501 and MPM 502.

Non-credit; optional

The PMP review course is designed to prepare students for success on the Project Management Professional (PMP) Exam. This course incorporates the strategies, techniques, study guides and processes necessary for taking the exam. The course includes test-taking strategies as well as sample questions. This is designed for students who have completed the master’s or graduate certificate program and have the necessary project management hours to qualify for the exam and/or those who have met both the education and experience components to sit for the exam and require a review of the data for preparation.

.75 credit

This course covers a broad range of topics surrounding the management of organizations. Course topics include behavior in organizations, strategic human resource management, current production and operations techniques and organizational structure and design. Change management techniques will be discussed. Course activities will develop and strengthen students’ organizational decision making, analytical and communication skills.

This course is designed to examine the ways financial managers make their decisions at the corporate level. This course will focus on the decision-making process regarding cost of capital, capital budgeting, cash flow analysis, capital structure and other financial decisions.

.75 credit

This course teaches students the art and science of project management as applied to a variety of business and technology settings. Students will learn and practice project techniques related to the five phases of project management— initiating, planning, executing, monitoring and controlling, and closing projects. The program allows students to immediately practice course concepts in various activities where they will create key project documents including a business case, project charter, scope statement, work breakdown structure and a project plan.

.75 credit

This course is targeted to external and internal consultants, as well as managers and other change agents within organizations. Leading change management fosters improved competency in the skills necessary during all phases of the change process—from diagnosis, to interventions, through evaluation. Organizational change issues are critically examined, and case studies, exercises and assessments are utilized, to better understand change from organizational, group and individual levels. Change models serve as frameworks that emphasize the importance of interactive consultative processes. All students must complete a major organizational change project. This is a leadership course focusing on strategies and strategic issues of change management within organizations.

This course focuses on combining data science with a student’s prior project management training and experience to raise project management maturity in an organization. The course covers approaches for using data science tools and techniques to optimize quality, minimize risk and ensure vigilant decision making across projects in an enterprise portfolio. Topics covered include Monte Carlo methods for methodology evaluation, earned value analysis and dashboards, and data-mining techniques for establishing measured, repeatable and optimized project management processes. The project management maturity roadmap and the role of the PMO are also discussed in depth. Prerequisites: MDS 546, MDS 534, MPM 501, MPM 502. Students who are certified project management professionals can waive the project management course requirements.

Electives

.75 credit

An examination of various leadership, managerial and administrative concepts and philosophies. The course places emphasis on the development of attitudes and values appropriate to professional management. The course uses an action learning approach to integrate the various theories and concepts presented.

.75 credit

Course explores human behavior in organizations, using a “micro”-level focus to investigate issues affecting individual behavior, interpersonal relations, groups and organizations. Students work in a variety of small groups and participate in experiential learning designs.

.75 credit

Examines human resource policies including staffing, training, job analysis and evaluation, compensation, employee development, union relations and government requirements.

.75 credit

This course examines the structure, process and nature of negotiations through experiential methods to (1) develop an understanding of negotiation models, strategies, conflict resolution, communications styles, situational analysis and elements of power and influence; and (2) develop negotiation skills.

.75 credit

Operations management covers the broad range of activities performed in the production of a good or service. It covers scheduling, forecasting, inventory control, purchasing, quality control, work measurement, methods improvement, layout, material handling, safety, facilities planning, operations strategy and project management. The course examines the management of the functional area in the organization that either produces a product or provides a service. Since most employees of an organization are in the operations area, the course includes discussion of ways to develop and coach employees to achieve their best results.

.75 credit

Business intelligence represents a conceptual framework for decision support. It combines analytics, data warehouses, applications and methodologies to facilitate the transformation of data into meaningful and functional information. The major objective of business intelligence is to enhance the decisionmaking process at all levels of management. Data mining is a process that utilizes statistical analysis, probability theory, mathematical modeling, artificial intelligence and machine learning techniques to extract useful information and subsequent knowledge from large data repositories, commonly referred to as “big data.” This course examines a number of emerging methods proven to be of value in recognizing patterns and making predictions from an applications perspective. Students will be provided the opportunity for hands-on experimentation using software and case studies.

This course provides a business-oriented framework for the data scientist to identify, prioritize and perform data analytical projects that drive business value and enhance competitive advantage. The course examines the data ecosystem, both external and internal to the enterprise, as well as business processes and networks upon which analytical projects can be used to reduce organizational risk and drive the creation of economic value. Topics covered include: marketing, sales and customer data exploration, supply chain data exploration, operations data exploration, financial data exploration and project management methods to convert information gain into business value. A variety of business process data sets will be examined using analytical tools, including Tableau, SAP Predictive Analytics and IBM Watson. Students will conduct the steps of an analytical workflow on a selected business process and create a project plan to drive value.

This course covers advanced project management strategies and data science techniques needed for managing large-scale organizational change and business transformation projects. Students plan and control each phase of a project implementation life cycle containing multiple streams of work. Emphasis is placed upon the use of data analysis and reporting for decision making in the complex quality and risk management situations encountered in technology-based, organizational change projects. Prerequisite: MDS 561.

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