Master of Science in Health Information Technology Degree Curriculum

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1 Master of Science in Health Information Technology Degree Curriculum Core courses: 8 courses Total Credit from Core Courses = 24 Core Courses Course Name HRS Pre-Req Choose MIS 525 or CIS 564: 1 MIS 525 CIS 564 Computers and Information Systems Principle of Organizational Information Systems Description This course focuses on the management concepts and information technology needed to create effective information systems. Topics include: a survey of information technology, information systems and organizations, strategic information systems, management support systems, and ethical and social issues in information systems. The purpose of this course is to provide a foundation for the analysis, design and implementation of enterprise information systems. Topics include systems and organization theories, and information systems planning and evaluation. Students will be also introduced to various systems development life cycle phases of an enterprise information system. Students will acquire an understanding of the flow of information (forecasts, financial, accounting and operational data) within an enterprise and the factors that should be considered in designing an integrated enterprise information system. This includes all systems in the business cycle from revenue forecasts, production planning, inventory management, logistics, manufacturing, accounts payable, sales, accounts receivable, payroll, general ledger and report generation. Specifications for some of these systems will be developed utilizing ERP software such as SAP R/ applications development software suite.

2 Choose MIS 575 or CIS 556: 2 MIS 575 Information Management CIS 556 Database Systems Choose MIS 641 or CIS 527: MIS 641 Enterprise Architecture and Networking CIS 527 Computer Networks MIS 525 CIS 50 or IMSE50 or CCM/50 MIS 525 CIS 450 or IMSE 450 or ECE 478 This course examines the basic concepts of information management for business organizations. Database systems are examined as a key tool for managing information. The goal of this course is to provide adequate technical detail while emphasizing the organizational and implementation issues relevant to the management of computerized information in an organizational environment. Topics include data modeling, database design, data definition and manipulation languages, database administration, data standards and policies, data quality, data integration, data warehousing, and data mining. An examination of the database approach to data management in computer systems. Topics include database fundamentals, the relational, network, and hierarchical database models, normalization of data, distributed databases, and current trends and issues. In this class, students will learn the principles of managing the hardware, software, networks, and data centers that are used in modern enterprises. Students will learn the interfacing of IT systems to business goals and objectives. Traditional architecture frameworks will be discussed, along with the integration of more contemporary topics like cloud networking, green computing, mobile enterprise/byod, and virtual services. To study the technical and management aspects of computer networks and distributed systems. Topics include: communication hardware, communication protocols, network architectures, local area networks, distributed database systems. Case studies and research project will be assigned for additional insight.

3 Choose MIS 642 or CIS 544: 4 MIS 642 CIS MIS 650 Information Assurance Computer and Network Security Information Systems Quality MIS 525 CIS 450 or IMSE 450 or ECE 478 MIS 525 This course will provide the students with an exposure to the unique concerns and realities of assuring information and managing risks in the IT environment today. The course will cover principles of security from a managerial point of view, but will provide the students with enough of a technical focus to actively participate in the process of organizational security. Students will be exposed to the problems and dangers from insecure IS and the means, including physical, technical and administrative controls, to prevent security breaches, while also learning to respond to a breach when it does happen. Students will take this knowledge to learn to develop security plans and conduct security audits. Coursework will include extensive reading and seminar participation as well as time in the laboratory to explore and reinforce concepts. The course will provide a broad spectrum introduction of the fundamental principles of computer and network security. Topics will include security policies, models and mechanism for confidentiality, integrity and availability, access control, authorization, cryptography and applications, threats and vulnerabilities in computer networks, key management, firewalls and security services in computer networks. This course examines two related areas of study: (1) the concepts of information systems analysis and design in business organizations and (2) the management of information quality in organizations. Students will learn to plan and manage information systems projects, determine information requirements, model information process requirements, model system logic requirements, design user interfaces, and implement and maintain information systems. Student will also gain an understanding of the dimensions of information quality, the assessment and improvement of information quality in organizational settings, cognitive and behavioral aspects of information quality, and the effect of information quality on organizational decision making. The implications of information quality for systems analysis and design and applications of systems analysis and design methodologies for the management of information quality will be examined.

4 6 HIT HIT HIT 520 Economics of Healthcare Management and Analysis of Healthcare Data Clinical Systems and Evidence Based Medicine MIS 575 and HIT500 and HIT 510 The course will address the special features of healthcare as a commodity, the demand for health and medical care services, the economic explanations for the behavior of medical care providers (i.e., physicians and hospitals) and the functioning of insurance markets. Also this course will examine the role of and economic justification for government involvement in the medical care system. Finally, we will use the tools we have learned to compare different healthcare systems in the world. Topics include: Production of Health, Demand for Healthcare, and Grossman Model; The Health Economics of Bads; Role of Hospitals, Physicians, Healthcare Labor Market, and The Pharmaceutical Industry; Issues surrounding insurance such as Information Asymmetry, Moral Hazard, Adverse Selection and Lemon s Markets; Government Regulation and Intervention; Comparative Health Care Systems and the impacts of the ACA on health and healthcare. This course discusses the nature of and important statistical methods for analyzing healthcare related data. The course begins by covering the structure and semantics of coding systems used in the healthcare industry while avoiding detailed coverage of the meaning of data values. Descriptive statistical methods (graphical and numerical) that depict the central tendency and variability of data; theoretical and empirical probability distributions for discrete and continuous data; point and interval estimations of unknown parameter values; parametric and nonparametric hypothesis tests for numerical, categorical, and ordinal data; analysis of variance; and regression analysis are then covered. A statistical software package will be used to analyze healthcare data. This course is a graduate course on Clinical Systems and Evidence Based Medicine. Course content includes an overview of clinical systems with an emphasis on application of evidenced based medicine through clinical decision support systems. Evidenced based medicine content includes the evidence and causes of inconsistency in healthcare, clinical decision processes, assessment of evidence supporting both diagnostic and treatment decisions, comparing the different research methods in clinical literature, and comparing evidence-based versus traditional approaches to clinical practice

5 Elective courses: choose 2 from the following Total Credit from Elective Courses = 6 Elective Classes HPS 456/556 Course Name HRS Pre-Req Health Care and the Law MIS 649 Business Intelligence MIS 525 CIS 568/ECE57 Data Mining CIS 479 or ECE 479 Description A sociological study of legal issues in health care, including regulation of hospitals, consent for treatment, confidentiality, experimentation, family planning, children's rights, access to health care. The emphasis will be on the organizational and personal consequences of legal requirements. This course will introduce students to the fundamentals of data warehouses (DW) and data mining (DM). Topics will focus on how to leverage big data to support business decisions. Going through major activities involved in a data warehousing project, students will study the principles of dimensional data models, data warehouse architecture and infrastructure, techniques for data extraction, cleaning, transformation, and loading, online analytical processing (OLAP), and managerial issues of data warehouse implementation. Common data mining techniques and applications, such as decision trees association rules, text mining, rule based classification, cluster analysis, machine learning, will be introduced. Advances in computer information systems, machine learning, statistics, and intelligent systems and methodologies for the automatic discovery of knowledge from large high- dimensional databases. This course also uses engineering development tools such as neural networks, fuzzy logic, and genetic algorithms.

6 MIS 644 MIS 64 CIS 562 IT Policy and Strategy IT Project and Change Management Web Information Management MIS 525 MIS 525 CIS 556 or CIS 421 This course provides an overview and an understanding of the issues involved in the strategic management of the information technology (IT) and information systems (IS) of an organization and the development of organizational strategies and polices considering environmental constraints. A broad range of issues and problems associated with the information assets of the organization and their alignment with the strategic goals of the organization is examined. An example of topics covered might include: ethical, privacy, and social issues arising within the new information environment; current laws and currently proposed laws and their implications; competition and monopoly in software and hardware markets; and online content and access. Since the course focuses on current issues, the reading each week consists of basic text chapters as well as readings contributed by the professor and class. These readings will change to reflect the dynamic environment of IT/IS. The course prepares students for IT strategy and policy analysis and development. Coursework includes extensive reading, seminar participation, case analysis, research projects, and examinations. This course examines the management of information systems projects in business organizations as well as human and organizational reactions to the changes brought about by new information systems. Topics include project planning, change control, project controls, project reporting, information systems projects and organizational change, factors affecting project success and failure, and project management software. This course provides an in-depth examination of advances in web information management, retrieval and applications. Topics covered include: web interfaces to databases, XML standards, web database design, web database architectures, web query languages, web data restructuring, web information integration, semantic web and ontologies, and web mining.

7 CIS 525 Web Technology CIS 55 CIS 571 Web Services DS 520 Advanced Statistical Modeling and Analysis HHS 690 Graduate Research HHS 691 Graduate Seminar CIS 50 or ECE 70 This course deals with the study of the technologies used to design and implement multimedia web sites. Topics include web servers, HTML, CGI, scripting languages, Java applets, back-end database connectivity, web security, multimedia, XML, web services,.net, semantic web. A study of the major concepts and techniques for enabling web service-based interactions on the web. The objective is to familiarize students with the recent trends in industry and academia to address web service research issues. The course will address various aspects of web services, including the reference model for web services (UUDI, SOAP, WSDL), web service composition, semantic web services, security/privacy issues in web services and an overview of web service standards (BPEL4WS, WS-Security, etc). Students will participate in a major project. This course explores statistical modeling and analysis techniques for aiding managerial decision making. Topics include: introduction to descriptive statistics, sampling methods and sampling distribution, confidence interval estimation, one sample hypothesis tests, one-way and two-way analysis of variance, simple and multiple linear and nonlinear regressions, and time series forecasting. Selected software packages are used in exercises, projects, and business case examples. To provide masters candidates with the opportunity to undertake a research project under the supervision of a faculty member. The research topic is chosen by the student, in consultation with a faculty member in the appropriate discipline. Written approval must be obtained at least two weeks prior to registration on a form available in the Graduate Office. The request must include a comprehensive description of the proposed research project, as well as a time line for the project's completion. (A maximum of credit hours of research course work may be applied toward graduation requirements upon approval from the Program Advisor.) Topics Course. To provide masters candidates with an opportunity for study of selected advanced topics in particular fields. Topics vary. See Schedule of Classes for current offerings. May be elected more than once if topics differ.

8 HHS 692 Graduate Internship The internship provides real-world experience for students in a professional environment. Participating employers hire students within parameters set by the internship program. Students are required to submit a report and evaluation documents at the end of each work assignment and participate in an assessment session with the internship staff. (A maximum of credit hours of internship course work may be applied toward graduation requirements upon approval from the Program Advisor.) Total credit hours for the program = 0

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