The program is recognized by the Commission on Affiliation of Professional Science Master's Programs (PSM Commission).
Program Requirements
Common Core
Extensive coverage of SQL, database programming, large scale data modeling, and database enhancement through reverse engineering. This course also covers theoretical concepts of query processing, and optimization, basic understanding of concurrency control and recovery, and database security and integrity in centralized/distributed environments. Team-oriented projects in a heterogeneous client server environment.
Prerequisites:
none
The course explores big data in structured and unstructured data sources. Emphasis is placed on big data strategies, techniques and evaluation methods. Various data analytics are covered. Students experiment with big data through big data analytics, data mining, and data warehousing tools.
Prerequisites:
CIS 540
In this course, students will design and implement distributed big data architecture. The architecture consists integration of homogenous and heterogeneous databases and other structured and unstructured data sources. Students will apply concepts of distributed recovery and optimization, and other related topics.
Prerequisites:
CIS 540
This course examines the organizational leadership structure and competencies of healthcare and/or IT organizations, the governance planning process, financial management, ethical and legal decision-making, privacy, and data-based best practices that balance organizational and regulatory requirements with feasible cost-effective solutions.
Prerequisites:
none
Examine information technology systems, including decision-support systems that are essential to gathering evidence to impact health and value-based clinical practice. Discover how improvement in cost effectiveness and safety depends on evidence-based practice, outcomes research, and inter-professional care coordination.
Prerequisites:
none
Discover what happens when health practice and service delivery collide with the capture of data, by observing the provision of care in various settings and identifying sources of data. Students in this course will be challenged to utilize health technologies, identify and capture valuable data, and discuss meaningful ways that information can be used to enhance health education, influence care delivery, and innovate practice for individuals, families and society.
Prerequisites:
none
Research/Methods Course(s)
The student will apply critical thinking and clinical reasoning skills to interpret health-related data to inform healthcare decisions and influence individual, family, and societal health outcomes. The student will experience the dynamic process of working within a team to utilize informatics to transform the coordination and delivery of care across multiple settings.
Prerequisites:
none
Restricted Electives
Choose 4 Credit(s).
Students will gain foundational skills in health informatics, systems analysis, data modeling, data gathering, data retrieval, data governance and systems security to create useful information for health-related decision making. This course does not count toward the MS IT degree.
Prerequisites:
none
Examine the roles in health informatics, information technology and analytics while striving to improve individual, family, and societal healthcare outcomes, through the gathering, retrieval, and analysis of data. Students will gain foundational knowledge regarding health, healthcare practices, safety, and compassionate care reflecting an understanding of human growth and development, pathophysiology, pharmacology, and care management across the health-illness continuum, across the lifespan, and in all healthcare settings.
Prerequisites:
none
Capstone Course
Choose 3 Credit(s).
Student will integrate their health-related background with the practical application of scientific and professional knowledge, behavior, and skills. Students will employ health advocacy strategies, principles of quality improvement, healthcare policy knowledge, and cost-effectiveness as part of an inter-professional team to analyze data and develop a strategy to impact practice improvements in order to increase the quality and efficiency of healthcare delivery, improve satisfaction, or manage health-related costs.
Prerequisites:
none
Students will integrate their technology-related background with the practical application of scientific and professional knowledge, behavior, and skills. Students will employ health advocacy strategies, principles of quality improvement, healthcare policy knowledge, and cost-effectiveness as part of an inter-professional team to analyze data and develop a strategy to impact practice improvements in order to increase the quality and efficiency of healthcare delivery, improve satisfaction, or manage health-related costs.
Prerequisites:
none
Policies
Admission Requirements
In addition to meeting the general admission requirements ofthe College of Graduate Studies and Research, successful applicants must meet thefollowing requirements for admission:
A four-year cumulative minimum GPA of 3.0 on a 4.0 scale is required.
Applicants must have an undergraduate degree in nursing or in informationtechnology, information systems, computer science, management information systems or related fields.
Qualified students with other backgrounds may be granted admission but willbe required to complete additional prerequisites courses in core areas to be prepared for graduate level coursework.
All students must meet all prerequisite requirements of the graduate levelcourses in which the student plans to enroll.
Prerequisites for core courses will be considered deficiencies until satisfied.
For admission to the Health Informatics and Analytics PSM Program, applicants must provide a one-page statement of career interests and goals to the Computer Information Science Department.
Graduation Requirements
In addition to the graduation requirements of the College of Graduate Studies and Research, students in this program must also satisfactorily complete the capstone seminar course (CIS 692 or NURS 692) demonstrating an appropriate level of mastery of each of the program level outcomes.
Depending on whether the student is currently employed in the field, the capstone experience can be performed for the current employer, as part of an internship, externship, or to benefit a non-profit entity, or as a project designed in connection with an mock, open source, or appropriately obtained proprietary data set. Each student must make a presentation to faculty and peers in the program. Where necessary, intellectual property waivers and/or non-disclosure agreements will need to be in place ahead of such presentation.
A minimum GPA of 3.2 on a 4.0 scale is required for graduation.
