Best Universities for Masters certificate program in Healthcare Analytics

Certificate of Advanced Graduate Study in Health Analytics.

The continued explosive growth of health data has created great opportunities to improve the quality and delivery of patient care and a great need for professionals with the knowledge and skills to retrieve, interpret, and act on that data. Courses on the American healthcare system and data governance and ethics provide important industry context, familiarizing students with the primary sources of health data generation and the regulations that govern security, storage, and use of that data. Courses in advanced data modeling and feature engineering provide hands-on experience analyzing real health data sets, which are often messy and unstructured.

MSHA 403: Introduction to American Healthcare, Digital Health, and Analytics.

MSHA 411: Advanced Data Modeling for Health Analytics.

Please note that courses completed in this certificate program cannot be transferred to the corresponding graduate degree.

After successful completion of the Health Analytics certificate, students will be able to:.

Identify the multiple sources of healthcare data generation (e.g., hospitals, payers, patients) and their relationships.

Understand the specific technical, administrative, and physical considerations for securing and safeguarding health data in accordance with regulatory requirements.

Consider ethical concerns and dilemmas related to the use and disclosure of health data.

Use generalized linear models, logistic regression, and other analytics methods to develop and validate predictive models for large health datasets.

Use R and SQL to develop analytical features from health datasets.

The Health Analytics Course Schedule page provides you with detailed information on the program offerings.

Applicants to this certificate program must hold a graduate degree from an accredited U.S. college, university or its foreign equivalent. A competitive graduate record that indicates strong academic ability is required. Work or research experience in clinical, computing or information technology fields is highly desirable but not a requirement for admission.

This certificate program requires prerequisite coursework or knowledge.

A list of admission requirements can be found on our Health Analytics Admission page.

Tuition costs can vary for each of our programs.

Our Health Analytics Information page outlines important dates and deadlines as well as the process for adding and dropping courses.

Healthcare Analytics is intended for people with a graduate degree and some familiarity with medical or health informatics. Applicants wanting a comprehensive course of study should consider the Master of Science in Health Analytics degree.

Find out Northwestern Health Analytics Program.

Your team members will learn together in small online classes and build the skills needed to implement consistent, high-level best practices across your organization.

The increasing availability of electronic health data creates an incredible opportunity to apply large-scale, clinical analytics to improve health care, manage risks and improve patient outcomes. UC Davis Division of Continuing and Professional Education’s online Healthcare Analytics Certificate Program gives students the knowledge and practical skills to become a leader in this high-demand niche of the healthcare industry.

This career-oriented program gives you the knowledge to succeed as a clinical and operational analyst in health care. Providing a strong foundation in the structure of healthcare data, it dives into hands-on coding and exposes you to leading industry applications such as SQL, SAS and Tableau.

Medical Coding and Health Care Data Analytics for Practice Certificate .

Submit application and requested materials at least one semester prior to intended enrollment in the initial required course.

Eligible for admission to the Graduate School at The Ohio State University as evidenced by:.

A baccalaureate or professional degree (or equivalent foreign credential) from an accredited college or university, earned by the expected date of entry into the certificate program.

A minimum of a 3.0 cumulative GPA (on a 4.0 scale) for the last degree earned.

For international applicants and those who have held the status of U.S. permanent resident for less than one year from the first day of the first term of enrollment and are not currently an Ohio State graduate student, submission of TOEFL or IELTS scores.

Currently enrolled as a degree-seeking student in a graduate program at Ohio State.

Use the following to complete the section under the Academic Plan:.

Academic Are select the appropriate start term and campus (Columbus).

Currently enrolled or previously enrolled in a graduate degree or graduate certificate program at Ohio State.

Plan Major Information: Select Medical Coding and Health Care Data Analytics for Practice Graduate Certificate.

If you have never applied to a graduate degree or graduate certificate program at Ohio State.

Career opportunities continue to emerge in large, integrated health systems as well as in health care technology startups and consulting firms. Industry-specific data expertise also is needed by health insurers, software vendors, pharmacy benefit management companies, employee wellness programs, public health departments, community health centers and national non-profit organizations.

Computer science courses (15 credit hours) compose the program’s data analytics core, and health courses (15 credit hours) provide the context for applying these technical skills. The combination of course work is designed to prepare students for a practicum in the final semester. This capstone experience is an opportunity to develop and complete an independent project under the guidance of a professional mentor.

An earned baccalaureate degree in any field with a GPA of at least 3.000.

Alternatively, proof of successful completion of a recommended introductory online statistics course using R.

Applications are reviewed on a rolling basis. Admitted students may begin their program in fall or spring.

Upon admission, final official transcripts from all previously attended colleges universities, with certified English translations if original language is not English, must be submitted to the Graduate School within the first five weeks of the term of admission or a hold preventing registration for future terms will be placed on the student’s record.

This 30-credit interdisciplinary program is composed of 15 credit hours in data analytics courses and 15 credit hours in health courses.

The data analytics core provides students with the knowledge and skills to understand and quantify the value of decisions based on ethically balanced analyses. It teaches students to explore, analyze and visualize data, coupled with the knowledge the organization of data for analysis and the tools for data and text mining to explain historical events or predict future outcomes. It uniquely includes an examination of the moral, ethical and societal impacts of data analytic problems, approaches and decisions important to many areas of application, and provides an understanding of the processes to justify value and the ethical choices being made. An ethical focus is arguably especially important to the application of analytical skills to health care. The focus on ethically centered data analytics positions Marquette uniquely in the field of data analytics programs, and even so in the limited field of health care data analytics programs.

The health curriculum in this program provides the context and application for the skills and knowledge developed by the data analytics core. Through the health curriculum, students develop comprehensive lenses for harnessing analytical tools to address pressing questions in health care organizations, and approach data from the viewpoint of clinical and business operations. Without this viewpoint, the data are hollow and the analyses are theoretical. This context includes an of the U.S. health care system, its component parts and their inter-relationships, as well as its issues and challenges. The program culminates in a practicum providing students an opportunity to pursue the analysis of relevant health care issues from identification through the development of analytics-driven, values-based decisions based on values that include non-quantifiable ethical concerns.

COSC 6540 Data Analytics recommended for students with a programming background.

The Computer Science offers a data science certificate. If a health care data analytics master student chooses to also earn the certificate, admission to both programs may be concurrent. The same courses may be used to satisfy the requirements of the master’s program and certificate, as outlined in the university bulletin for each program. Students are expected to be admitted into all programs they intend to complete, although course work completed prior to admission may be allowed to apply toward program requirements. Certificates must be approved individually via the curriculum approval process as Title IV aid eligible in order for students in any of these programs to be eligible to apply for federal financial aid.

Details on the data science certificate can be found in this bulletin.

Students may be pursuing a baccalaureate degree in any field.

If only one course is taken, HEAL 6840 The Environment of Health Care Delivery is recommended. If two courses are taken, HEAL 6840 The Environment of Health Care Delivery and COSC 6510 Business Intelligence are recommended. If three courses are taken, HEAL 6840 The Environment of Health Care Delivery, COSC 6510 Business Intelligence, and HEAL 6835 Health Care Informatics, Technology and Professional Issues are recommended.

The graduate certificate prepares professionals who need to handle the growing demands in analyzing digital healthcare information. This certificate program provides students with essential predicting, visualizing, and evaluating strategies that can improve the quality and safety of healthcare.

The courses in this certificate program require a working knowledge of SQL and Python.

Students have the option to use the coursework from their graduate certificate to continue in a Master of Science degree program offered by Graduate Programs in Software.

To complete the Graduate Certificate in Healthcare Analytics, you must complete the following four courses (12 graduate semester credits) with at a GPA of 2.7 or better:.

SEIS 639 Artificial Intelligence for Healthcare or (SEIS 763 Machine Learning and SEIS 764 Artificial Intelligence).

SEIS 735 Healthcare Analytics and AI Case Study.

Please note: Students in the Graduate Certificate in Healthcare Analytics must demonstrate adequate proficiency in SQL or take SEIS 630 Database Management Systems and Design before enrolling. Students will be expected to have a prior background in Python or take SEIS 603 Foundations of Python I.

A bachelor degree from a U.S. regionally accredited institution (or international equivalent) and a minimum GPA of 2.7 is required. The GRE GMAT is not required.

Attend an online information session to learn program details. Our programs serve working professionals with busy lives. Set your own pace and start fall, spring or summer.

Eric Level has taught graduate software engineering and computer programming for the past 30 years. He has also consulted and done technical training for local and national companies and government agencies.

Offered through LSU Online and the LSU College of Engineering, the online Graduate Certificate in Healthcare Analytics is designed for engineers, information technology professionals, and healthcare professionals looking to change the healthcare landscape through research and analytical skills. By using data analytics in a healthcare setting, graduates will be able to improve patient outcomes, lower costs, improve the quality of care, enhance health delivery system performance, and optimize business operations. This program is offered in partnership with Our Lady of the Lake Regional Medical Center. The coursework was developed and reviewed with OLOL MDs and executives to reflect the current needs of the healthcare industry.

Relevant coursework equips graduates with the confidence to land jobs in their field of study.

LSU Online offers several ways to help you pay for your degree including credit for prior learning (PLA), financial aid, and veteran education benefits.

Cost per credit hour and fees are subject to change. Exact fees may vary by program.

Although there are no restrictions regarding the major area of study pursued in the baccalaureate program, graduates of curricula outside the program area will be required to satisfy prerequisite requirements in the program area. This prerequisite work will not carry graduate credit but is intended to satisfy deficiencies. The number of courses required will depend on the student background and preparation such requisite courses may have prerequisites that need to be fulfilled prior to enrolling in those courses.

Information Systems CHain Management: Business Analytics Concentration, B.S.

Information Systems and Chain Management: Business Analytics Concentration.

Lobby of Financial Aid Department featuring a large desk with UNCG logo on the front.

College-bound students are presented with an exciting (yet somewhat tedious) checklist in the march towards higher learning.

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UNCG believes that every student has the capability to be successful. Academic growth, disability management and self-advocacy skills for students are supported and enhanced.

There is a dire need for professionals with practical knowledge and skills in health analytics. As health care companies employers repeatedly articulate their challenges and corresponding needs, we designed, developed, and implemented the first stage of an evidence-based, hands-on educational program to produce the new generation of health care analytics professionals.

All transcripts from bachelor degree studies as well as a CV resume must be submitted by the deadline in order to be reviewed for admission. Applications that are incomplete at the deadline will not be reviewed. This application does not require recommendation letters, purpose statement or entrance exams such as the GMAT or GRE.

The health informatics and data analytics certificate prepares clinicians and health care managers, as well as information technology (IT) professionals in highly specialized data science skills applied in health. Certificate course work stresses the impact of technology and data science on modeling outcomes and quality of health care services. Students learn data science, statistical, artificial intelligence and related methods in the context of Electronic Health Records (EHR) data, medical claims data, as well as public and population health data.

Credits in the certificate program and their degree program as long as there is an overlap.

This certificate qualifies for Title IV Federal Financial Aid.

The certificate coursework stresses the use of data analytics to model outcomes and quality of health care services. It is typically pursued by individuals who already have an advanced degree and don't need to pursue a full MS in health informatics. Many students enrolled in other Mason graduate programs enroll in the certificate in addition to their primary area of study.

The certificate is ideal for two groups of individuals:.

Clinicians, health care managers and population health individuals who want to learn data science, machine learning, and analytics skills applied in their areas of expertise.

IT professionals who are new to the health care community and want to learn specifics of health data and health analytics.

Degrees and Certificates Health InformaticsGraduate Certificate in Healthcare Data Analytics.

Turn data into applicable insights to improve quality care and solve the challenges facing healthcare.

Advancements in healthcare and delivery of care require professionals who are capable of collecting, analyzing, and translating health data to inform strategic decisions and improve care management. The volume of digital health information continues to accelerate resulting in workforce demand and shortage of qualified workers.

Each of the four courses has been designed by health data experts built with employer demand in mind.

Concentrated learning with ready-to-use skills for modern health.

This course explores in depth database basics such as the relational algebra and data model, schema normalization, query optimization, and transactions. The course addresses current needs in database design and use for optimized human-computer interaction, for rigorous security, and for robust modeling that can transform raw data into useful information. This course will also provide a deep exploration into data standards and what part that plays in the field of Informatics. Students will gain a solid understanding of, and extensive practice with, structured query language (SQL).

HIN 715: Health Data Analysis, Visualization, and Storytelling (Credits: 3).

Large data sets are not useful in their native state. Informaticists have to begin by defining the question that will be answered by the data and then organizing, analyzing, and visualizing the dataset. Analytics provide meaningful patterns in the data, and data visualization communicates the information clearly through graphical means. This course is designed to familiarize students with core concepts in communicating information through effective data visualization. This course introduces students to data visualization elements and best practices in data visualization using Tableau and Gephi. Students will gain hands on experience building explanatory and exploratory visualizations using healthcare data.

HIN 770: Foundations of Healthcare Data Analytics (Credits: 3).

R is an open source programming language ideally suited for analysis and visualization. This course will provide students with a foundation in data preparation and preliminary analytics using R which can be applicable for research, quality improvement and industry large-scale data analytics projects. This course will include the following skills: data analysis with publicly available data sets cleansing and imputing data descriptive statistics and data visualization.

HIN 775: Advanced Concepts in Healthcare Data Analytics (Credits: 3).

Advanced topics in health informatics leverages the concepts introduced in the Foundation course. Students will be exposed to advanced statistics, vast and diverse data sets, and data interpretation and visualization. This course will prepare students for a deeper dive into forecasting, trends, and data modeling.

All courses are graduate-level and taught in eight-week terms, allowing you to take two courses each term. The Healthcare Data Analytics certificate is two semesters in length, which is the time equivalent of eight months (presuming you choose to take a regular course load consisting of one course each eight-week term, two courses per semester). To accelerate earning your certificate, you may complete the program in six months or less by taking than one course each eight-week term.

The Graduate Certificate in Healthcare Data Analytics can fit into your busy schedule with multiple start times throughout the year.

This can be done immediately or within several years after completion of the graduate certificate.

HCA 601: Introduction to Health Administration (Credits: 3).

This course provides an of the history, challenges, and opportunities facing healthcare administrators today. Topics will include the ongoing transition from a pay-for-services model of healthcare delivery to accountable care networks, emerging public health and healthcare partnerships, and the need for analytics that can address the particular characteristics of big health data.

HIN 605: Introduction to Health Informatics (Credits: 3).

This course introduces students to central health informatics tools, techniques, and concepts used to improve health outcomes through technology. Students explore various healthcare technology platforms, how data is used in healthcare, and how the need for cybersecurity and health data privacy shape the information infrastructure that powers modern healthcare. This course offers students a framework for deeper understanding of many of the concepts explored in subsequent coursework.

HCA 610: Healthcare Quality for Enhanced Value-Based Patient Outcomes (Credits: 3).

This course explores the dynamic between healthcare delivery and the leveraging of informatics for enhanced patient outcomes. Given increased scrutiny on empirical value-based care metrics for payer reimbursement, informatics data and its strategic utilization will be key in the new continuum of care models. Students will complete this course with a solid understanding of healthcare quality standards, the regulations around those standards, and how they are affected by the use of technology and data analysis. Key themes will include the latest quality of care compliance trends like promoting interoperability, patient generated health data, participatory medicine, and leveraging population health metrics for quality improvement.

HIN 625: Health Information Legislation, Compliance, Privacy and Security (Credits: 3).

This course explores legislation and regulation relating to health informatics. The course will examine the major laws and agency regulations governing healthcare technology, data collection, management, and privacy, as well as the security standards required for healthcare and health-related organizations. Students will explore the intent behind, and ethical dimensions of health informatics regulatory frameworks, using case studies of recent health information uses, security breaches, and challenges to interoperability. This course will also look ahead to the impact of future Health IT regulations.

HIN 615: Advanced Computer Information Technologies for Health Informaticists (Credits: 3).

The field of health informatics depends on advanced computing systems to collect health data and analytical sophistication to make sense of that data. This course provides students with a solid understanding of the computer science that undergirds the entire field, exploring the design and implementation of database systems and technology applications, data communications, and systems analysis. Students will learn to identify current and emerging information technologies that may have strategic value for enterprise solutions, assess where those technologies may have strategic value, and explore methods for implementing those technologies in their organizations.

The implementation or integration of major projects or initiatives, such as a new healthcare technology system requires careful planning and organization. This course will provide students with widely-accepted concepts and skills that can be used and scaled to successfully complete projects of varying sizes. Through course work, students will gain experience with the common language used by professionals involved in project management. Students will explore concepts of project charter, work breakdown structures, scheduling, risk planning, and project reporting.

This course begins the 16 week capstone experience in Health Informatics by providing students the opportunity to implement what they have learned through the examination of trends, technologies, and opportunities facing the field. Examining cutting-edge developments in the science and practice of informatics will provide students with a broader understanding of where health informatics may be heading, as well as the challenges facing the field. Students will write a review of the literature pertaining to aspects of their practicum experience in the context of shrinking the research-practice gap. Additionally, at the end of the course, students will describe their practicum journey and future plans via an ignite presentation.

UNE Online is a proud Organizational Affiliate and Approved Education Partner of the global HIMSS network.

Upon acceptance, students may apply to transfer up to one, 3-credit course (maximum three semester credits) into the Graduate Certificate in Healthcare Data Analytics program.

In order to be considered for transfer into the Graduate Certificate in Healthcare Data Analytics program, the course must:.

To request consideration for transfer credit, a student must provide an official transcript and a course syllabus for each course.

Students who successfully earn the Healthcare Data Analytics certificate are able to:.

Apply advanced modeling and statistics using healthcare data to predict patient population trends.

Act as a liaison between clinicians, IT departments, and those conducting research.

Stack earned credits from each course into an M.S. Health Informatics degree.

How health data technology is reshaping modern care.