Courses
HDA 610 STAT ANALYSIS FOR HEALTH DATA ANALYTICS 3.0 Credit(s)
This course provides a practical and theoretical foundation in statistical analysis tailored specifically for healthcare data. Students will go beyond basic statistics to learn advanced methods for answering complex questions related to patient outcomes, healthcare operations, and public health trends. The course emphasizes both the conceptual understanding of statistical models and the hands-on application using industry-standard software to analyze real-world health datasets. Prerequisite: Take HDA-501 HDA-505
Offered: As Needed All Years
HDA 625 HEALTCARE BUS INTELLIGENCE AND OPS 3.0 Credit(s)
This course introduces graduate students to the principles and applications of business intelligence (BI) in healthcare. Students will learn how to use data to optimize operational efficiency, improve financial performance, and enhance patient care delivery. The course focuses on the practical use of data and BI tools to address common challenges faced by healthcare managers and administrators. Prerequisite: Take HDA-615
Offered: All Semesters All Years
HDA 615 PRED MODEL & MACHINE LEARNING HLTHCR 3.0 Credit(s)
This course introduces graduate students to the theory and practical application of predictive modeling and machine learning techniques within the healthcare sector. Students will learn how to build, evaluate, and interpret models that can forecast disease risk, predict patient outcomes, optimize clinical workflows, and personalize treatment plans. The curriculum is designed to move students from foundational concepts to hands-on application using real-world health datasets. Prerequisite: Take HDA-610
Offered: As Needed All Years
HDA 620 ARTIFICIAL INTELLIGENCE IN HEALTHCARE 3.0 Credit(s)
This course provides a comprehensive exploration of how artificial intelligence (AI) is transforming the healthcare landscape. Students will gain a deep understanding of core AI concepts and their practical applications in various healthcare domains, from clinical decision support and medical imaging to drug discovery and public health. Prerequisite: Take HDA-615
Offered: As Needed All Years
HDA 633 HEALTHCARE POLICY AND ECONOMICS 3.0 Credit(s)
This course offers a comprehensive analysis of the major policy and economic issues shaping the US healthcare system. Students will explore the interplay between government policy, market forces, and stakeholder behavior in a healthcare context. The curriculum provides a framework for understanding how economic principles are applied to healthcare delivery, financing, and reform efforts. Prerequisite: Take HDA-515
Offered: As Needed All Years
HDA 630 ADVANCED DATA MINING AND TEXT ANALYSIS 3.0 Credit(s)
This course is designed for graduate students who want to deepen their skills in extracting valuable insights from large and complex datasets, with a specific focus on data mining and text analysis techniques. Students will move beyond basic statistical analysis to learn and apply sophisticated algorithms for pattern discovery, predictive modeling, and natural language processing (NLP). The course emphasizes hands-on application of these methods using real-world datasets from various domains Prerequisite: Take HDA-615
Offered: As Needed All Years
HDA 660 CAPSTONE PROJ IN HELATH DATA ANALYTICS 3.0 Credit(s)
This capstone course provides students with the opportunity to synthesize and apply the knowledge and skills gained throughout their graduate program in a real-world health data analytics project. Working individually or in small teams, students will design, execute, and present a comprehensive data-driven project that addresses a significant challenge in healthcare, public health, or health administration. The course emphasizes independent research, project management, and professional communication of analytical findings
Offered: As Needed All Years
HDA 635 FIELD EXPERIENCE I 3.0 Credit(s)
This field experience/internship is a practical learning experience arranged with a variety of healthcare organizations to provide a supervised short-term educational experience. An internship allows a student to develop professionally through a work experience under the guidance of leaders in the fields of healthcare informatics and healthcare information technology. As an extension of the curriculum, the internship experience affords the student an opportunity to apply her/his theoretical knowledge and technical skills in a practical manner gaining valuable training, which will better enable her/him to perform with a higher level of skill and confidence
Offered: As Needed Contact Department
HDA 636 FIELD EXPERIENCE II 3.0 Credit(s)
This field experience/internship is a practical learning experience and is a continuation of HDA 635.
Offered: As Needed Contact Department
HDA 634 BIG DATA ANALYTICS 3.0 Credit(s)
The course focuses on the theoretical principles and practical application of big data technologies within the healthcare ecosystem. Students will move beyond traditional statistical methods to explore tools and architectures designed for data volumes that exceed the capacity of conventional databases and software. Key topics include the V's of Big Data (Volume, Velocity, Variety, Veracity, and Value), distributed computing frameworks (e.g., Apache Spark and Hadoop), NoSQL databases, and advanced machine learning techniques for high-dimensional data. The curriculum emphasizes real-world application, covering topics like analyzing genomic data, processing streaming sensor data from wearables, and extracting patterns from vast electronic health record (EHR) systems. Students will gain hands-on experience in building scalable analytical pipelines to support precision medicine, operational efficiency, and population health initiatives. Prerequisite: Take HDA-515 HDA-630
Offered: As Needed All Years
HDA 632 POPULATION HEALTH ANALYTICS 3.0 Credit(s)
The course focuses on the application of advanced biostatistics, epidemiology, and data science techniques to real-world population health challenges. Students will learn to work with diverse data sources, including electronic health records (EHRs), claims data, public health surveillance systems, and social determinants of health (SDOH) data. Key topics include measures of population health, risk stratification, predictive modeling, geospatial analysis for health equity, and program evaluation. Emphasis will be placed on translating complex analytical findings into actionable public health and healthcare strategies. The course is designed for students in public health, health informatics, healthcare administration, and related fields who wish to develop expertise in data-driven decision-making for population health management. Prerequisite: Take HDA-501 HDA-505
Offered: As Needed All Years
HDA 631 HEALTHCARE INFORMATICS AND EHRS 3.0 Credit(s)
This course provides a comprehensive introduction to the principles of healthcare informatics, with a specific focus on the design, implementation, and management of Electronic Health Record (EHR) systems. Students will explore how information technology is used to improve patient care, enhance clinical workflows, and support administrative functions within healthcare organizations. The course covers the technical, clinical, and ethical aspects of using EHRs and other health information systems Prerequisite: Take HDA-501 HDA-505
Offered: As Needed All Years
NU 700 THEORETICAL COMPONENTS OF NURSING SCI. 3.0 Credit(s)
This course investigates the study of knowledge shared among members of the nursing discipline, the patterns of knowing and knowledge development, criteria for evaluating knowledge claims, and the philosophy of science. The nature of theory, theory development in nursing, and significant conceptualizations of nursing are discussed. Through guided search and discussion, doctoral students will become knowledgeable about the utilization of theory to guide practice.
Offered: Fall, Spring & Summer Sems All Years
NU 710 HEALTH CARE POLICY ADVOCACY & ETHICS 3.0 Credit(s)
This course explores the effect of the interrelationship between policy, advocacy, and ethics on clinical practice and health care leadership. The advanced practice nurse's role in health care policy and planning is examined. An overview of issues in health care policy and planning, including the socio-political and economic context of health and health-seeking behaviors will be provided. Health care policy and planning at the local, state, and federal levels will be considered. Issues in clinical practice will be examined for how legislation and regulations impact care. The course examines the structure and function of legislative and regulatory organizations, governance, public relations, and global health care issues. Broader social issues common to the care of underserved and vulnerable populations will be examined. Ethical dimensions of public policy formulations and implementation will be highlighted.
Offered: Fall, Spring & Summer Sems All Years
NU 720 Leading Quality Initiatives & Info Sys 3.0 Credit(s)
This course introduces the fundamentals of patient safety and quality improvement (QI) in a variety of healthcare settings. Emphasis is placed on the development, implementation, and evaluation/measurement of evidence-based healthcare QI practices. Management of complex system change within the healthcare environment is reviewed as part of the QI process. Examining key issues related to patient safety is an important concept throughout this course. Information Systems (IS) is also addressed throughout this course to examine the best application to the QI process along with daily practice needs. Students examine key processes involved in optimal patient safety, outcomes, and the overall delivery of health care services.
Offered: Fall, Spring & Summer Sems All Years