"What's most exciting about this field is the opportunity to effect positive change to improve the health and well-being of our communities."read her story
Learn the analytical, technical, and healthcare knowledge and skills you need to improve healthcare quality, delivery, and efficiency using Big Data.
Experts estimate that there are over 14 billion devices currently connected to the internet. They are all generating data, data that can be used by organizations to create better products and services, become more efficient, more effectively serve their customers, better target their marketing and communications, and develop new innovations. And, while nearly all industries are being impacted by the rise of Big Data, few have the potential to benefit from Big Data the way that the healthcare industry does.
Not only can Big Data improve efficiencies and profits for healthcare organizations, but it can also lead to vast improvements in patient care and public health overall. But, in order for the healthcare industry to benefit from Big Data, it needs people who can make sense of that data, recognize patterns, identify new opportunities, solve problems, and communicate what they've learned to management and healthcare practitioners.
The people who turn Big Data into knowledge in the healthcare industry are called healthcare analysts, and you can become one through D'Youville's Bachelor of Science in Health Analytics. You'll learn how to apply statistical and computer science skills to address complex problems by analyzing the data generated by a wide range of technologies.
You'll gain valuable knowledge about a wide range of topics spanning human anatomy to law to ethics to the business of healthcare and statistical analysis, and you'll learn how to communicate your insights to a wide range of audiences. You'll understand how to apply what you've learned to become a vital part of the healthcare industry in a wide variety of settings ranging from hospitals to nursing homes to insurance companies.
Perhaps most importantly, you'll learn what you need to know in order to become a part of the exciting and rapidly-growing healthcare analytics field as soon as you graduate.
When you apply for admission at D’Youville, we’ll automatically consider you for our merit scholarships. Undergraduate scholarships can cover as much as 50% of your tuition, and there is no need to fill out a separate application!
Transfer students can qualify for scholarships, as well. And unlike other schools, maintaining your scholarship is easier at D'Youville because we use a realistic 2.25 GPA requirement to determine your eligibility for merit-based scholarships each year.
|Scholarships||SAT (M & EBRW) or ACT* / GPA||Scholarship Amount|
|President's||88/1170 or 24||$13,000 + $3,000 Room and Board Waiver|
|Founder's||83/1080 or 21||$10,000 + $2,000 Room and Board Waiver|
|Dean's||80/980 or 18
Anyone with a 90 GPA can receive this award without test score consideration.
|Transfer||3.25 - 3.49||$5,000|
|Transfer||3.0 - 3.24||$4,500|
|Transfer||2.75 - 2.99||$4,000|
*D'Youville only requires that you submit the results from one test.
Find more information and additional scholarships on our scholarships page.
D'Youville is a proud partner with Blue Cross Blue Shield of Western New York, offering a Health Analytics BCBS Scholarship to help you fund your degree. This scholarship is good for four years and includes a guaranteed two-year internship with BCBS.
|Course Number||Course Name||Credits|
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 writing skills based on a humanities topic, thematically
linked to the D'Youville general education core. Topics will vary by instructor and
will be approached from literary or historical perspectives, with a common focus on
cultural studies. Offered both semesters. Crosslisted with HIS-112 beginning Fall
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
|Course Number||Course Name||Credits|
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|
|Course Number||Course Name||Credits|
Choose three electives.
|Course Number||Course Name||Credits|
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 will cover the policy and legislation influences that have encouraged
the rapid paced adoption of health information technology (HIT). The course will describe
the function,benefits,and challenges of widely used HIT systems such as electronic
health records,telehealth,and mobile health. The role of HIT in cost,quality,and satisfaction
improvements,as well as provider value based payment will be defined.
This course provides students with an overview of diverse financial systems within
American healthcare,focusing on reimbursement methods and payment systems and how
they affect providers and payers. It also reviews major insurance programs,federal
health care legislation,legal/regulatory issues,diagnosis and procedures coding systems,and
the impact of coding on reimbursement,compliance,and fraud and abuse.
This course develops students'knowledge and understanding of the development and impact
of policy and law in the US on healthcare organizations.Specific emphasis will be
given to principles of law, policy and the U.S. legal system including laws and policies
related documentation,privacy,security,release of health information,liability,consent,and
This course introduces students to the principals of clinical quality and performance
improvements as applied in the health care setting. Specific topics inlcude the use
of evidenced-based, measurable standards,work steps for improvement,and value based
payment systems. Students will investigate models used to improve the process of health
care delivery,as well as examples of successful clinical,cost and satisfaction performance
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 students with a managerial internship/field work experience at
a healthcare setting. Students will apply course work knowledge and skills to a health
services management problem through the completion of a major project at a targeted
organization that is negotiated between the student,preceptor,and HSA department.
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
Your bachelor's degree in Health Analytics can lead to an entry-level career in a variety of healthcare settings from hospitals to HMOs to long-term care facilities.
This is what analysts do: they turn data into information and information into useful knowledge. As a Health Analyst, you'll tap into the vast sea of data being created every day by technologies ranging from websites to networked medical devices in order to provide insights that can impact the entire healthcare field.
Health analysts have the unique opportunity to make a real difference where they work by helping their organizations focus on best practices, areas of improvement, and opportunities for innovation. As a Health Analyst you'll help drive growth, point out where processes and procedures can be improved, identify opportunities for improving patient care, and provide the knowledge your organization needs in order to predict (and act on) the inevitable changes the future will bring.
In a recent study, the McKinsey Global Institute predicted that by 2018 the United States will need nearly 200,000 people with deep analytical skills. And no wonder: according to consulting firm EMC, the current digital universe consists of around 6 trillion gigabytes of data, and that number’s doubling every two years. In fact, at the current rate of growth, the amount of data available to humanity will reach somewhere around 44 trillion gigabytes by 2020…in other words, 44,000,000,000,000,000,000,000 bytes of data or almost 1.4 billion times the amount of data estimated to currently reside in the Library of Congress.
That's a lot of data. But data by itself isn't good for much. In order for data to become information that humans can use to create knowledge, it has to interpreted. Data that has been interpreted becomes meaningful to people, and once it means something it can be used to expand our knowledge of the world, improve our lives, and create new ideas and innovations that can literally change the world.
Because Health Analysts have the potential to use their skills and knowledge to bring positive change to the organizations they work for, their employment opportunities are nearly unlimited. As a Health Analyst you’ll have the opportunity to contribute to a diverse range of health-related organizations in a wide variety of industry sectors such as:
When you graduate with a BS in Heath Analytics from D'Youville, you'll be able to hit the ground running for your new career because you'll already have acquired real, practical experience in the health analytics industry from the two internships you'll complete as part of our career-oriented curriculum.
Not only will you gain the practical experience that will help build your resume and impress potential employers, but you'll have had the experiences you need in order for you to decide where you want to fit in the field of health analytics.
As a student in D'Youville's Health Analytics program, you'll have the opportunity to explore a number of healthcare industry settings including insurance companies, hospitals, and research opportunities. Through your two internships you'll gain a better understanding of your employment options, enjoy a chance to network with potential employers and industry contacts, and gain an understanding of the many organizations that make up the healthcare system, all in real-world settings.
Applicants to the bachelor's degree in Health Analytics must meet these criteria for admission into the program:
|A combined SAT score of 1170 (or ACT 24) and;|
|High school average of at least 87% and;|
High school rank in the upper one half of the class, and;
To be in good academic standing in the bachelor's degree in Health Analytics, student must:
|Good Academic Standing|
|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 student's major.|
Transfer student applicants to the bachelor's degree in Health Analytics, must meet these criteria for admission into the program:
Note: Find out how many credits will transfer to D'Youville by using our Course Equivalency Database.
Melissa Borodzik, Health Analytics major, and Samuel Baron, Health Services Management major, describe their experience at D’Youville and how small classes, one-on-one instruction, and professors with real-world experience have prepared them for careers in the Health Services Administration field.
Read the personal stories of the teaching professionals at D'Youville and learn how they apply their real-world experiences to your education.