The Master of Science (M.S.) in Healthcare Analytics program is a 30-credit, online program that provides students with strategic approaches to healthcare decision-making within public and private institutions. These strategic approaches will be used to develop frameworks for solving analytical problems in the healthcare field. The tools and methods will also be used to make decisions on which data needs to be collected, what information systems can be effectively used to collect the data, and what analyses should be performed in order to inform healthcare decision-making.

PROGRAM DESIGN

The six core courses (18 credits) will enhance students’ data analytics and technology skills. These core courses are supplemented by three specialized courses (9 credits), in which students will apply the knowledge and skills learned in the core courses to the healthcare industry. The experiential learning capstone course (3 credits) allows students to integrate their learning throughout the program and apply it in a real-world healthcare setting.

PROGRAM DELIVERY AND TUITION RATE

This program is delivered through online instruction, providing flexibility and convenience for working professionals and adult learners. Students may complete the program on a full-time or part-time schedule. It is billed at the non-MBA rate.

Admission Overview

Admission to the Master of Science in Healthcare Analytics program is selective. This program enrolls new students in the Fall, Spring, and Summer terms.

Applicants must hold a bachelor’s degree from a regionally accredited institution and meet prerequisites that prepare them for advanced coursework in healthcare data analysis, health systems performance, and data‑driven decision‑making in clinical, public health, and administrative settings.

Prerequisite Requirements

To be considered for admission, applicants should have completed coursework (or experience) in:

• Statistics
• Information Technology

A candidate who has not completed these prerequisites may still be accepted, but admission will be contingent on completing the required prerequisite courses within the first year of enrollment.

Application Requirements

Applicants must submit the following materials:

• Official transcripts from all previously attended colleges and universities
• Personal Statement, describing academic goals, professional experience, and interest in applied analytics
• Resume, documenting prior education, employment, and relevant analytical, technical, or quantitative experience
• $50 nonrefundable orientation fee

Applications are reviewed only when all required materials have been received, including all official transcripts.

How Applications Are Evaluated

Admission decisions are based on a holistic review of:

• Academic history and GPA, including evidence of quantitative or analytical readiness
• Quality and clarity of the Personal Statement
• Alignment with program goals, including interest in data‑informed decision‑making and analytics applications in health settings.

Start Terms

This program admits new students in the:

• Fall
• Spring
• Summer

Deadlines

Applications are reviewed regularly throughout the year, but only when all required materials—including all previous college transcripts—have been received.

To guarantee review for the term of your choice, all application materials must be submitted before the posted general deadline.

Applications submitted by the priority deadline will be reviewed first.
Applicants who complete their materials early may receive an earlier admission decision and have a better chance of securing a seat in their preferred term.

If an application becomes complete but space is no longer available, the applicant will be considered for the next available term.

Because deadlines vary by term, applicants should consult the Graduate Admissions Deadlines Page for the most current timeline.

How to Apply

To apply, visit the SUNY Empire application portal and select Graduate:

https://www.sunyempire.edu/application.html

Complete the online application, upload required documents and arrange for all official transcripts to be sent directly to SUNY Empire. Applications are reviewed only when all required materials have been received.

SUNY Empire alumni and current students do not need to request their Empire transcript.

International Applicants

This is a 100% online program; international applicants may apply. In addition to standard materials, they must also submit:

• A NACES‑member course‑by‑course evaluation (e.g., WES) for all non‑U.S. transcripts
• Proof of English language proficiency (TOEFL or IELTS), unless exempt

Additional Information

Please see the Graduate Admission section of this catalog for a complete listing of materials required to complete a graduate application.

Course List

Code	Title	Credits
INFT 6015	Database Design and Management	3
APAN 6015	Data Models and Structured Analysis	3
APAN 6010	Computer Aided Multivariate Analysis	3
APAN 6020	Data Mining & Machine Learning for AI	3
MGMT 6095	E-Commerce Marketing Strategies	3
MGMT 6185	Quantitative Methods for Decision Making	3
PPOL 6020	Research Methods	3
HCLM 6015	Health Information Management and Informatics	3
HCLM 6065	High Performance Leadership	3
HCAN 7010	Healthcare Analytics Capstone	3
Total Credits		30

Upon successful completion of the program, students will be able to:

• Disciplinary Knowledge: Students will be able to synthesize healthcare data to inform evidence-based healthcare decisions.
• Critical Thinking Problem Solving: Students will be able to apply appropriate statistical tools and techniques to analyze complex problems in healthcare delivery and public health.
• Strategic Thinking: Students will be able to apply healthcare analytics to support strategic decision-making in areas such as population health management, care coordination, and healthcare operations.
• Leadership: Students will be able to apply data- driven insights to lead quality improvement initiatives, inform healthcare innovation, and drive value-based care transformation.
• Ethical Reasoning: Students will be able to develop ethical reasoning skills to make responsible decisions in areas such as patient care, data privacy, and resource allocation within healthcare settings.
• Global Understanding: Students will be able to assess the implications of global health data trends, disparities, and cross-border health analytics in managing population health and resource allocation.
• Managerial Communication: Students will be able to create and present clear, actionable healthcare analytics reports and presentations to clinical and administrative stakeholders.