Health Analytics, B.S.
Program Contents and Requirements
Analytics is the new frontier for health care organizations. Analytics offers the opportunity to identify areas of performance that can be improved, both in terms of the quality and cost of care. The mission of the health analytics program is to prepare students with the skills, knowledge and ethics necessary to work in a variety of health service organizations. The program prepares students to analyze large sets of health-related data from a variety of sources, and to effectively communicate those findings to diverse audiences.
Health analytics helps healthcare organizations convert massive amounts of information into usable, data driven intelligence. Qualified professionals in this field must work well as individuals and as members of a team. They must possess excellent written and verbal communication skills, as well as analytic ability. They must also understand healthcare systems and their management
Course Requirements for the Major:
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This course is an introduction to literature and the fundamentals of academic writing.
Students learn the skills essential to college success:critical reading and analytical
thinking, interpretation, scholarly discussion and collaboration, effective oral presentation,
composition of writing for both readers and listeners.
This course teaches academic research skills and writing based on a liberal arts topic.
Topics vary by instructor.
This is an introduction to the fundamental ideas of computers and their role in society.
Students learn of the historical origins of computers, the development of computers
since WWII, their uses and impact in society, emerging technologies, and the implementation
of computers: operating systems, software applications, the Internet, and an introduction
to some elementary programming: e.g., HTML, SQL (Databases and Electronic Health Records),
advanced spreadsheet formulas. Electronic medical records (EMRs) are a digital version
of the paper charts in the clinician's office. Electronic Health Records (EHRs) focus
on the total health of the patient by focusing a broader view of all aspects of a
patient's care. This course has a great deal of emphasis on databases including practical
hands-on experience using (EMR/EHR) software.
This is a study of the structural and functional relationships of the human organism,
emphasizing cells and tissues, the integument, skeletal system, muscular system, nervous
system and sense organs. This course consists of three lectures a week.
This course accompanies BIO 107. This course consists of three hours of laboratory
This continuation of BIO 107 emphasizes the digestive system, respiratory system,
blood, cardiovascular system, urinary system, reproductive systems, endocrine system,
human genetics and development. This course consists of three lectures a week.
This course accompanies BIO 108. This course consists of three hours of laboratory
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This course is a study of formal reasoning methods through informal fallacies, class
logic and introduction to propositional logic.
This course examines the ways in which death challenges human meaning and action.
Topics such as the meaning of suffering and death,challenges of death to morality,psychological
spiritual processes of dying and bereavement are considered.
This course analyzes ethical dilemmas and problems posed by developments in the biosciences.
Problems discussed include choices for life or death, allocation of resources, human
experimentation, reproductive technologies and professional-client relationships.
This is an interdisciplinary course that examines how sociopolitical conditions have
contributed to the self image and value crisis in the health professions. A variety
of problem-solving techniques are studied in order to offer alterative social policies
that would reconstruct the identify of the professions.
This is an introduction to speaking before groups and includes techniques of speech
preparation and delivery,adapting to the purpose of the speaking situation,and practice
in various types of oral presentation in a comfortable workshop atmosphere.
|Course Number||Course Name||Credits|
Choose three electives.
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This is an introduction to computer programming using a modern language: program structure,
procedures, functions, loops, if-then-else, arrays and records.
This course includes the underlying fundamental mathematical principles and their
application to a wide range of statistical methods and tests. Included are the following:
sampling, frequency distributions, probability, regression,confidence intervals, hypothesis
testing, t-test, analysis of variance, chi-square and correlation. Existent computer
software such as MiniTab is utilized by students to aid and facilitate the analysis
of results. Not open to those who have taken MAT 120
This course continues and expands the material present in MAT 123. The course will
cover hypothesis testing for variances, symmetric versus asymmetric distributions,
non-parametric methods for one, two or multiple samples, measures of association,
multifactor analysis of variance, and analysis of covariance. The material focuses
on the application of known methods. Large data sets will be employed to explore the
methods presented in class. The course will employ one of SPSS, MINITAB or SAS.
The course covers the ideas behind, application of, and evaluation of regression processes,
which are used to explore the relationships between variables. This course will cover
simple linear regression, multiple linear regression, regression diagnostics, use
of qualitative variables as predictors, transformations of variables, collinear data,
and logistical regression. The material focuses on the application of known methods.
Large data sets will be employed to explore the methods presented in class. The course
will employ one of SPSS, MINITAB, or SAS.
Students will learn about various types of relational database programs and understand
the fundamental aspects of SQL (Structured Query Language). This course covers database
concepts, design concepts, database administration, and web-based databases. Students
will receive an introduction to the SAS programming language with a focus on manipulation,
summarizing, and basic statistical analysis of large data sets.
This course provides an introduction to common experimental designs in the health
sciences, such as clinical trials, case-control studies, and cohort studies, and the
statistical methods used in those studies, including odds ratios, relative risk, logistic
regression, longitudinal analysis, and survival analysis. Emphasis is placed on practical
data analysis in biology and medicine. The course will employ one of SPSS, MINITAB
The course will cover the process of statistical inquiry, including defining the problem,
hypotheses development, selection of appropriate variables, test selection, interpretation
of results, and reporting of conclusions. Large data sets will be employed to explore
the methods presented in class. Group projects and oral presentations will simulate
real life job experiences in the analytics industry. This course will employ one of
SPSS, MINITAB or SAS.
Public health aims to prevent and treat disease and to promote and protect health
through strategies that engage the community. This course will examine the history
of public health as well as core areas of public health including assessment, assurance
and policy development. Students will learn about health promotion and disease promotion
and disease prevention of communicable and non-communicable disease social and behavioral
aspects of health, epidemiology, environmental health and health policy.
This course applies medical terminology including word components (root word, prefix
and suffix), medical abbreviations, pathologies and diagnostic tests. Students also
learn how to conduct a chart review, interpret admission notes, surgical reports,
discharge summaries, and understand the components of a SOAP note.
This course presents a systems approach to the delivery of health services. Students
will develop an understanding of the basic structures and operations of health care
systems. The course examines resources, processes and outcomes of health systems.
The purpose of this course is to introduce the student to the principles of managing
health care resources and to the methods used to analyze and evaluate the use of resources
in delivering health service. The objective will be to expose students to approaches
to cost containment and to the need for partnership with clinical providers to achieve
success in providing effective and efficient care. Students will develop and understanding
of well-established methods of resource management along with emerging and developing
methods such as value-based payment and accountable care organizations.
Under the supervision of a qualified preceptor and program faculty, students complete
approximately 80 hours of fieldwork in the area of community health and health education.
This course includes one hour of weekly seminar.
This course provides an overview of clinical information, administrative information
and decision support information systems. Emphasis is placed on decision support,
specifically information and analytical tools to support managerial decision making.
This course analyzes third-party payment programs and reimbursement practices in the
health care sector.
This course introduces students to the major legal issues and principles in the health
care field and in the administration of health care services and examines the phases
of project planning and management. Students will learn how to set reasonable goals
and determine a time line and budget. They will also learn how to lead and facilitate
teams through the work plan.
This course is designed to introduce the health analytics student to principals of
clinical quality management and performance improvements in the health care setting.
The course will focus on the definition and implementation of quality standards, as
well as the methods used by health care delivery systems to better meet evidence-based
and measurable standards. The course will also cover the relationships between health
care quality.Utilization and risk management.
This course examines the phases of project and management in health care organizations.
Students will learn how to use a systems approach to integrate local, state and federal
health care mandates and professional standards in setting reasonable goals, determine
a time line and budget. They will learn how to lead and facilitate team of support
staff, professionals and allied health professionals through the work plan. They will
learn to present the project verbally and in writing using a variety of presentation
This course provides the opportunity for the application of theories and principles
of classroom learning. Under the supervision of a qualified preceptor and program
faculty, students will complete approximately 80 hours of fieldwork in an area of
the health care system. This course includes approximately one hour of weekly seminar.
What exactly is a heart attack? Why does aspirin health prevent strokes? Why are anti-depressants
associated with suicide? This basic course will answer these questions while providing
an overview of common disease states and the drugs used to treat them. Disease states
of the major organ systems will be covered as well as the most commonly prescribed
drugs in America. Prerequisite: None: however, basic knowledge in biology is recommended;
not eligible for elective credit in the major.
This course focuses on social epidemiology,the factors determining the occurrence
and distribution of disease,health defects,disability and death among groups. The
interdisciplinary nature of epidemiological theory,statistical measures commonly used,and
an analysis of the distribution of health care in the United States are studied.
This course focuses on the nature and theory of management. It emphasizes the functional
application of the basic principles of management to realistic business situations.
The course explores the role, meaning, background and theory of MIS in the organization
and focuses on planning, implementation, effect and challenges of management information
and communication technologies.
Minimum total credits for graduation: 123
Academic Requirements for the Health Analytics Program
Applicants must meet these criteria for entrance into the health analytics program:
- A combined SAT score of 1100 (or ACT 24), and
- High school average of at least 87%, and
- High school rank in the upper one half of the class, and
- Transfer students must have a minimum cumulative GPA of 2.75
Good Academic Standing
To be in good academic standing in the health analytics program students must:
- Achieve a semester GPA of 2.50, and
- Maintain a cumulative GPA of 2.50, and
- Earn minimum grades of C in all courses required for the major.
*Courses with a grade below C must be repeated, but may only be repeated once.
Students who are not in good academic standing will be placed on academic probation for their next (non-summer) semester. Students on academic probation will be limited to 13 credit hours during the semester they are on academic probation. Students will come off probation if they meet the requirements for good academic standing listed above.
Students will be dismissed from the health analytics program if they:
- Fail to remain in good academic standing after having been on academic probation during a previous (non-summer) semester, or
- Fail to earn a minimum grade of C in a repeated course.
To appeal a decision rendered by the School of Health Professions faculty/administration that has academic consequences, you must follow the appeal procedures which are available at www.dyc.edu/appeals.
Health Services Administration Department
The health services administration department offers a bachelor of science degree in health services management, health analytics, public health, as well as a master of science degree in health services administration, a doctorate in health administration, and three advanced certificates in health services administration, long-term care and clinical research associate. The undergraduate programs are described in the undergraduate catalog.
The health services administration department offers graduate courses in fall and spring semesters primarily with limited offerings in summer sessions. Classes are delivered full on campus, fully online (distance learning) and hybrid ( a mix of on campus and distance learning). On campus courses are offered on Monday through Thursday nights from 5:30 - 8:15 PM.