HCIP

Subject

HCIP

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.charlotte.edu

Informatics (3) Core Courses

Subject

HCIP

Credits (min)

12

Credits (max)

12

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.charlotte.edu

Prerequisite(s): Enrollment in MS or Graduate Certificate in Health Informatics and Analytics program. Current topics and issues related to Health Informatics and Analytics, including health policy analysis and development, ethical issues, structure of health administrative and delivery systems, assessment of population health, models of healthcare delivery, access and quality of care issues.

Subject

HCIP

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.charlotte.edu

Subject

HCIP

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.charlotte.edu

(3) Prerequisite(s): HCIP 5376; and enrollment in the MS or Graduate Certificate in Health Informatics and Analytics program, or the MPH program. Addresses the use of quantitative management tools for medical decision- making in populations. Topics include: the use of decision trees, Markov models, Monte Carlo simulation, and forecasting methods to address uncertainty in decision- making. Students work in cluster teams to complete assignments, culminating in a real-world decision model addressing a current medical decision.

Subject

HCIP

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.charlotte.edu

Healthcare. (3) Cross-listed Course(s): HADM 6134. Prerequisite(s): Enrollment in MS or Graduate Certificate in Health Informatics and Analytics program. Examination of the concepts and practices of quality management, performance improvement, and assessment of outcomes in healthcare delivery settings. Designed to provide an in- depth understanding of basic concepts and frameworks and of their applicability and relevance in specific situations. Topics include: process reengineering, service improvement, continuous quality improvement, accreditation standards, patient satisfaction, outcome measurement, teamwork, and case management.

Subject

HCIP

Type

course

Edition

2026-2027

Source

catalog.charlotte.edu

listed Course(s): HADM 6146. Prerequisite(s): Enrollment in MS or Graduate Certificate in Health Informatics and aduate Catalog  2026-2027

Subject

HCIP

Type

course

Edition

2026-2027

Source

catalog.charlotte.edu

Course(s): HADM 6150. Prerequisite(s): Enrollment in MS or Graduate Certificate in Health Informatics and Analytics program. Analysis of ethical and bioethical problems confronting healthcare delivery systems. Selected legal principles and their application to the healthcare field, including corporate liability, malpractice, informed consent and governmental regulation of health personnel and health facilities.

Subject

HCIP

Type

course

Edition

2026-2027

Source

catalog.charlotte.edu

Subject

HCIP

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.charlotte.edu

Cross-listed Course(s): DSBA 6160. Prerequisite(s): Enrollment in the MS or Graduate Certificate in Health Informatics and Analytics or MPH programs. The modeling, programming, integration, and provenance of big data. Focuses on SQL and NoSQL, but may also address other advanced topics. Topics include: (1) modeling/theory: basics of RDBMS and NoSQL, database design; (2) programming: SQL and NoSQL query languages; (3) integration: data warehousing, preprocessing; (4) databases in the Cloud; and (5) provenance: data version control, data lifecycle management.

Subject

HCIP

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.charlotte.edu

listed Course(s): DSBA 6162, ITCS 6162, and ITIS 6162. Prerequisite(s): ITCS 6160 or ITIS 6120; and Enrollment in MS or Graduate Certificate in Health Informatics and Analytics program. Exploration of the entire knowledge discovery process. Topics include: setting up a problem, data preprocessing and warehousing, data mining in search for knowledge, knowledge evaluation, visualization and application in decision making. A broad range of systems, such as OLAP, LERS, DatalogicR+, C4.5, AQ15, Forty-Niner, CN2, QRAS, and discretization algorithms are also covered.

Subject

HCIP

Type

course

Edition

2026-2027

Source

catalog.charlotte.edu

Ethics, and Technology (3)

Subject

HCIP

Type

course

Edition

2026-2027

Source

catalog.charlotte.edu

Cross-listed Course(s): DSBA 6213 and MBAD 6213. Pre- STAT 5123, HADM 6108 (for students with background in healthcare administration), HCIP 6108 (for students with background in healthcare informatics), or equivalent. Focuses on applying business analytics within the healthcare setting. Students learn analytical tools used to synthesize big data into meaningful management information that is used in making key business decisions that impact the delivery of healthcare services. Case studies are utilized to prepare students for delivering boardroom level presentations of their findings.

Subject

HCIP

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.charlotte.edu

Prerequisite

Demonstrated proficiency with Microsoft Excel;

Prerequisite(s): Permission of department. This course is intended to be taken after all program- and concentration- specific core courses are completed, preferably in the last semester of the degree. An advanced course with synthesis and application of strategic planning, information technology, and analytic concepts via "real world" consultative projects grounded in health informatics and analytics. HCIP 6275. AI in Healthcare. (3) Prerequisite(s): HCIP 6156, DSBA 6156, or per instructor approval. Artificial Intelligence (AI) has played an important role in improving the quality and efficiency of healthcare. Especially in recent years, with the dramatic increase of the volume and richness of healthcare data and the advent of machine learning and deep learning methods, numerous AI models and applications have been reported to achieve near expert performance or even surpass expert performance in some scenarios. However, successful deployment of AI applications in real-world clinical practice is still rare, broad acceptance of these new technologies is even more challenging. In this course, we will first quickly review major AI models and methods that have been developed in the healthcare domain and then spend most of our time examining the many critical aspects of investigations that are necessary to translate AI models and methods that have been successfully tested in the laboratory settings into real world healthcare settings.

Subject

HCIP

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.charlotte.edu

Course(s): DSBA 6322, ITCS 6322, ITCS 8322, ITIS 6322, and ITIS 8322. Prerequisite(s): Permission of instructor, and enrollment in MS or Graduate Certificate in Health Informatics and Analytics program. Complex adaptive ate Catalog  2026-2027

Subject

HCIP

Type

course

Edition

2026-2027

Source

catalog.charlotte.edu

DSBA 63260, ITIS 6326, and ITIS 8326. Prerequisite(s): Full graduate standing or permission of department. Network Science helps students design faster, more resilient communication networks; revise infrastructure systems such as electrical power grids, telecommunications networks, and airline routes; model market dynamics; understand synchronization in biological systems; and analyze social interactions among people. It examines the various kinds of networks (regular, random, small-world, influence, scale-free, and social) and applies network processes and behaviors to emergence, epidemics, synchrony, and risk. Integrates concepts across computer science, biology, physics, social network analysis, economics, and marketing.

Subject

HCIP

Type

course

Edition

2026-2027

Source

catalog.charlotte.edu

Course(s): HADM 6210. Prerequisite(s): Enrollment in MS or Graduate Certificate in Health Informatics and Analytics program. A comprehensive study of medical practice management and the issues, tools, and techniques to resolve those issues. Provides the student with an understanding of the financial and regulatory issues that influence today’s medical practice with an insight into the cultural, human resource, and governance issues that make physician practices unique among healthcare organizations.

Subject

HCIP

Type

course

Edition

2026-2027

Source

catalog.charlotte.edu

Management. (3) Cross-listed Course(s): ITIS 6342. Prerequisite(s): Enrollment in MS or Graduate Certificate in Health Informatics and Analytics program. Introduces students to problems associated with managing information technology projects involving, particularly, integration of systems, development of client-specific solutions, and project justification. Moves beyond the classic techniques of project management and integrates

Subject

HCIP

Type

course

Edition

2026-2027

Source

catalog.charlotte.edu

Elective Courses (9 credit hours) Select at least three of the following courses. Additional selections from these options are encouraged and will fulfill the restricted elective requirement described below. Do not select HCIP 6250 if this course is chosen as the Culminating Experience.

Subject

HCIP

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.charlotte.edu

Prerequisite(s): Enrollment in MS or Graduate Certificate in Health Informatics and Analytics program. Principles and useful techniques for effective oral presentations, poster presentations, scientific writing. Students critique and help revise each other’s presentations and learn how to enhance communications. Students learn how to properly organize and run a meeting. Also covers negotiation, conflict management, and influence. Students use several approaches to evaluate their individual leadership style. Completes a management style assessment, and analyzes leadership styles of prominent leaders in the eHealth environment, using contemporary leadership theory and principles. Primarily covers AHIMA HIM competency III.A.

Subject

HCIP

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.charlotte.edu

Informatics. (3) Prerequisite(s): Enrollment in MS or Graduate Certificate in Health Informatics and Analytics program. Examines advanced use of object-oriented programming and scripting techniques applied to case studies in health informatics development. Emphasizes programming techniques beyond the fundamentals, with emphasis on efficiency in speed, data structures and file size. Students learn how to optimize code and databases so that the demands of large-scale health information systems can be performed in acceptable amounts of time while minimizing hardware requirements. Topics include: algorithm optimization, optimization of database queries and development for software as a service.

Subject

HCIP

Type

course

Edition

2026-2027

Source

catalog.charlotte.edu

Culminating Experience (3 credit hours) All students must complete a Culminating Experience in this program. Students may select one of the following courses to satisfy this requirement. The HCIP 6400 Internship Project course may be taken after students have completed a minimum of 12 credit hours in the degree program, including HADM 6100 and HCIP 6380. The HCIP 6250 Problem-solving in Healthcare Analytics course is normally taken in the final semester, all students complete this capstone course that engages them in a mentored real world informatics and analytics project. To register for either Culminating Experience course, students must secure permission from the course instructor or the Graduate Program Director.

Subject

HCIP

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.charlotte.edu

AI and Data Science for Health Concentration Foundational Core Courses (6 credit hours) Within the first year of matriculation into the program, students must complete these foundational core requirements. The Graduate Program Director may approve substituting HCIP electives for either or both of these classes in cases where the student demonstrates having successfully completed comparable undergraduate and/or graduate coursework.

Subject

HCIP

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.charlotte.edu

Project (3) Degree Total = 30 Credit Hours uate Catalog  2026-2027

Subject

HCIP

Type

course

Edition

2026-2027

Source

catalog.charlotte.edu

Study. (1 to 3) Prerequisite(s): Enrollment in MS in Health Informatics and Analytics program; and permission of instructor. Guided individual study in an issue related to health informatics and analytics arranged with a faculty member, or a supervised experience in a health analytics setting. May be repeated with change of topic/deliverables up to 6 credit hours.

Subject

HCIP

Type

course

Repeatable

May be repeated with change of topic/deliverables up to 6 credit hours.

Edition

2026-2027

Source

catalog.charlotte.edu