Master of Science in Technology Management

This course is designed to introduce the student to Graduate Business programs, with emphases upon conceptualizing communication and communication processes in the context of organizations, management and career. Emphasis will be on technology, theories and models, qualitative communication research and presentations.

This course focuses on analyzing and capturing real-world business transactions to prepare financial statements for external stakeholders. Topic coverage includes transaction analysis, the accounting cycle including financial statement preparation, and the specific accounting treatment. Other subject matter includes reporting requirements, and other considerations associated with current and long-term assets, current and long-term liabilities, and the components of stockholders’ equity.

This course introduces students to the art and science of project management as applied to different types of project situations. Topics such as project life-cycle management, project organizations and leadership, project team building, RFPs, proposals and contracts, techniques for project scope definition, work definition, estimating, scheduling, risk management, control and closeout, the project management methodology, and PM software are covered.

This course Introduces the essentials of Artificial Intelligence (AI) as a discipline and as it relates to analytics in supporting the process of decision making. Students will learn fundamentals of methods and techniques used to develop business analytics. The course introduces examples, products, and services used by modern day organizations using AI and various types of analytics to make business decisions.

This course introduces statistics, data sciences and their applications when working with and interpreting data at workplace. The course introduces a foundation for understanding of probabilistic reasoning and the evaluation of data for decision making.

This course focuses on best practices for managers in gaining control over AI implementations and ethical data analysis. The course addresses the responsibilities of a data science manager in overseeing automated decision making that goes beyond the delivery of the modeling results and deployment of the systems. The course studies improving the data monitoring procedures for adhering to a higher ethical standard and responsible data management within an organization.

This course focuses on the strategic alliances among business, technology, and organizational design. Students will learn how to plan technology architecture in support of a business strategy. The course addresses the effect of technology on privacy and ethics, the nature of work force, and the issues in managing remote and virtual teams. Security strategy and effective policies and training for protecting corporate assets are covered. Students will also be introduced to IT governance frameworks such as COBIT, ISO, and ITIL in this course. Prerequisite: BUS 600.

This course focuses on the key role that technology managers play in supporting an organization's growth and daily operations. Students will examine the required leadership skills to succeed in a culture of innovation and achieve operational excellence. The course covers the business opportunities the convergence of the cloud, mobile, and social media provides for an organization's growth and competitive advantage. Students will learn the skills for managing innovation and technological resources and make choices for the company's long-term benefits. Prerequisite: BUS 600

This final course will integrate and apply the core concepts acquired throughout the program. Evaluation will be focused on the quality of students’ applied research and problem-solving skills, technical and business content assessment, project management and implementation methods, and professionalism in writing and presentation documents. Students will develop a strategic and tactical plan to solve a given business problem leveraging technology. Prerequisites:  completion of all MSTM core required courses. 

This course analyzes conflict originating within the organizational context, including intercultural settings, and focuses on managing those conflicts. Solving conflict fueled by anger, bullying and aggression towards other organizational members is explored. Students will learn how to develop negotiating and mediation skills in online and face-to-face settings. Finally, students will master ways to overcome attitudes leading to conflict using tactics that are central to individual and group reconciliation.

This course examines the use of quantitative techniques business decision-making. Using spreadsheet software, the course addresses managerial problem solving through the use descriptive statistics, hypothesis testing, and correlation and regression (single and multiple) analysis. This course also provides a graduate foundation for conducting business research. Topic coverage includes: research methodology, literature review, hypothesis generation, data collection and summary techniques. Additional coverage includes study of qualitative and quantitative data as well as reviewing conceptual versus empirical research studies. Prerequisite: MAT 540 or equivalent.

This course provides an in-depth examination of the multi-faceted concept of leadership studies by presenting the student with the vocabulary, concepts, theories, and applicable research that are fundamental to the understanding of leadership. The course examines contemporary and historical leadership issues, moral and ethical responsibilities of leadership, and leadership in a variety of contexts. Leadership as a social and political influence process is examined.

This course blends theories of leadership with concepts and models of organizational change. The change process consists of a series of steps that focuses on vision, implementation, change agents, and other internal and external components. The course provides insight into types of changes that impact organizations and possible strategies to effectively address those changes.

This course provides a management-focused perspective of modern business information systems by introducing the application of AI and cybersecurity protocol. The topics addressed in the course consist of the fundamentals of computer systems including hardware / software, programming languages, software development methodologies, basics of networking, and cybersecurity. The course introduces information systems solutions for business problems by automating business processes, conducting risk assessment and cybersecurity threat detection.

This course addresses the business systems analysis function and purpose within organizations. Students will learn to elicit, analyze, and validate business and user requirements. Topics include information systems solutions planning, requirements gathering, logical system diagrams, developing information systems solutions to address business problems, and intelligent business information systems analysis methods, based upon emergent technology.

This course provides knowledge and experience of the processes to derive new analytical value and management techniques in order to create competitive advantages in businesses and industry. In particular, it provides a practitioner’s approach to some of the key techniques and tools used in big data analytics including: Hive, Impala, Pig, MapReduce. Students will apply a decision-making framework within which they will interact with the data to discover data insights and patterns. The outcome will provide a robust analytical decision model that empowers students to determine best quantitative business decisions.

This course is a combination of practical applications and examples of business intelligence technology to transform and analyze data for decision-making and examine health care outcomes for patients. Students will analyze how strategic planning is essential for sustainability and how business intelligence tools assist leaders in making decisions that will positively impact their bottom line. Additionally, through the use of case study examples, students will learn how health care organizations use health care data and technological tools to create business intelligence plans.

This course provides an overview of information management, health care information systems, and the strategic applications of information systems in health care organizations. The course will cover the following major areas: the evolution and role of health care information systems in the United States, health care information technology management and strategic planning, the system development life cycle, information technology value and investment, data governance, challenges in managing health care information systems, and regulatory compliance and standards. Topics such as the use of analytics and emerging technologies to support informed decision making and maximize diverse patients’ experiences will be also explored.

This course focuses on the strategic planning and marketing process in healthcare organizations and how resource allocations are applied to accomplish the goals of a business plan. In addition, the development of a comprehensive marketing plan and how the marketing plan supports both the strategic plan and business plan within the healthcare delivery system. Lastly, this course examines how contemporary trends regarding demographics, culture, political and regulatory issues affect both the strategic and marketing plan.