Leverage Data to Drive Healthcare Improvement

Data analytics and data science play a valuable role in improving healthcare and reducing costs by enabling organizations to leverage data to tackle complex problems and make more informed decisions. Data analytics can be used to identify trends and patterns in patient care, improve patient outcomes, reduce costs, and optimize resource allocation. Harness the potential of data for informed decision-making in healthcare, positioning yourself as a leader.

Semester Starts: Fall | Spring
Application Deadline: Now Accepting Applications
Time to Complete: 12 to 24 months (Full or Part-time available)
Format: Online
Credits: 36

Why this Program?

Our affiliation with Mass General Brigham gives you access to real-world data in your class exercises and projects. You will learn the fundamentals of data analytics including python, data visualization and the technical aspects of understanding data, in addition to creating models to tell a useful story.

35%

Job growth for data scientists

The IHP Difference

  • We're a community at the intersection of healthcare, research and clinical science.
  • Learn to code; we teach you to run packages using real healthcare data from Mass General Brigham.
  • Collaborate with peers in other health majors, mirroring the interprofessional nature of healthcare.
  • Make connections with faculty who have strong affiliations to Mass General Brigham.

 

Learning Objectives

  • Apply healthcare data analytics techniques using modern statistical and machine learning tools.
  • Develop and interpret data pipelines that support health-related decision-making.
  • Visualize and communicate analytical findings clearly to diverse audiences.
  • Navigate ethical, regulatory, and privacy considerations in healthcare data use.
  • Lead cross-functional analytics teams in both clinical and operational settings.
     

Our degree will prepare you to play a valuable role in data science and analytics in the healthcare sector with a strong foundation in the following areas:

  • Data analytics fundamentals: Learn about data analysis tools and techniques, such as python programming, data visualization, and statistical analysis, as well as understanding how to clean, organize, and manipulate data sets.

  • Technical aspects of understanding data: This may include learning about different types of data, such as structured and unstructured data, and how to identify and handle missing or incomplete data.

  • Creating models to tell a useful story: Learn about different types of models, such as regression, classification, and clustering, and how to select and apply the appropriate model for a given problem. And, be able to communicate the results of your analysis effectively to different stakeholders.

  • Driving outcomes and change in healthcare settings: This involves learning about the challenges and opportunities presented by data analytics in the healthcare sector, as well as understanding how to apply data analytics to address specific problems and improve patient care. Learn about the ethical and legal considerations related to the use of healthcare data.

Certificate of Pre-Health Studies - Open Doors to Data Analytics and More

Designed for aspiring health professionals who want to apply to graduate school and differentiate themselves with technology and data. While not required for entrance to our Master of Science in Healthcare Data Analytics program, students who earn a 3.0 GPA or better in this pre-health certificate program are eligible for contingent admission to our program. 

Learn more

This pre-health graduate certificate will appear on your academic transcript, helping future graduate schools know that you’ve completed rigorous prerequisite coursework. Integrating Master of Science in Data Analytics courses into your pre-health studies can enhance your credentials and make you more competitive for medical, nursing, PA, PT, OT school admissions.

 

 

  • Flexible Course Selection: Choose from our diverse range of online courses in Biological Sciences, Chemical and Physical Lab Sciences, Communication Sciences, and more.
  • Customized Academic Plan: Work with your academic advisor to select courses that align best with your future graduate program goals.
  • Transfer Credits: Up to 6 credits can be transferred into the certificate program.

she8 [at] mgb.org (Email the Program Director) to get started with your individualized certificate plan and learn more about how you can pursue an MSDA Master's alongside your Pre-Health studies.
 

Overview of the Application Process

MGH Institute’s Master of Science in Healthcare Data Analytics program welcomes applications with a baccalaureate degree who seek to become leaders in data analytics.

Application Deadline

Now accepting applications for programs starting: Fall 2025

We accept applications on a rolling admissions basis. If you have any questions, please email us at Admissions [at] mghihp.edu (Admissions[at]mghihp[dot]edu).

Application and Fee
All applicants are required to submit a completed online application. There is no application fee for this program.

Apply Now

Degree

All applicants must have completed a Bachelor’s degree from a regionally accredited U.S. college or university. Applicants that have earned a degree from a non-US institution are required to submit a course-by-course credential evaluation, see “Transcript” section. 

Prerequisite Course

There are no prerequisite courses required to apply for this program.  

Applicants are encouraged to have taken a Statistics course and/or have had experience, or familiarity, with computer programming languages, such as R. Your familiarity could have been gained in formal coursework, or through work experience/independent study, but is not required to apply to the program. Please contact the Data Analytics program if you have any questions related to this.

Learn more about our online prereqs or select an MGH Institute course below to view its description.

  • Introductory Statistics (3 credits) (Please be advised this course uses a different statistical software package than the one used/taught in the program.)

TOEFL/ IELTS
The language of instruction and clinical education at the MGH Institute is English and a high level of proficiency in both written and spoken English is required.  Applicants who have not completed either an undergraduate or graduate program where English is the language of instruction must demonstrate English Language proficiency as part of your application to the MGH Institute of Health Professions.  If you have questions about the language requirements, please contact the Office of Admissions.

  • Applicants who are citizens of Australia, Canada (except Quebec), Great Britain, Ireland, South Africa, New Zealand, Guyana, an Anglophone country of Africa, or an English-speaking country of the Caribbean are not required to submit TOEFL or IELTS scores.
  • Applicants who are candidates for graduation from an accredited degree-granting program in the United States or at an English-speaking school in one of the countries listed above are also not required to submit TOEFL or IELTS scores. Acceptance to the IHP will be contingent upon successful completion of this degree prior to matriculation.

Please note that in some circumstances, demonstrating English language proficiency may be required by the academic program even if you are a citizen of a country in which the (or one of the) national language(s) is English. Decisions about the need for TOEFL or IELTS scores are at the discretion of the academic program to which you are applying in coordination with the department of OES.

The IHP accepts either the TOEFL (Test of English as a Foreign Language) or the IELTS (International English Language Testing System). The test must have been taken within two years of the application deadline and official score reports are required. The minimum TOEFL (internet-based) score accepted is 89 and the minimum IELTS score accepted is 6.5.  

  • To forward your TOEFL score please contact the Educational Testing Service (ETS).  The MGH Institute of Health Professions code is 3513.
  • For IELTS, a Test Report Form may be mailed to MGH Institute of Health Professions and score information will be verified by the IHP directly. You may designate up to 5 schools to receive Test Report Forms at the time you register for the test.  To request additional Test Report Forms, contact your test center.

Please contact the Office of Admissions if you have any questions about the MGH Institute’s English Language requirements. 

Applicants are required to submit a transcript from each college and/or university attended, even if a degree was not received from that institution. Unofficial transcripts will be accepted throughout the application process, and official transcripts will be required of all accepted and enrolled students, prior to matriculation. For transcripts to be considered official they must be in their original signed and sealed envelopes when received.

Unofficial transcripts uploaded after application submission must include, 1) The name of the institution and 2) list the student’s name, and 3) contain a transcript legend. If an unofficial transcript is received without this information, it will not be accepted. Grade reports and copies of diplomas, or screenshots of a document will not be accepted.  

For official transcripts, the Office of Admissions strongly encourages the use of online electronic transcript ordering which can be sent admissions [at] mghihp.edu (directly via email) to admissions. If this is not an option and your institution does not participate in electronic transcript delivery, please request official transcripts to be sent to the mailing address listed below:

Admission Office
MGH Institute of Health Professions
36 First Avenue
Boston, MA 02129

Foreign Transcripts: Applicants that have earned a degree from a non-US institution are required to submit a course-by-course credential evaluation from one of the following NACES (National Association of Credential Evaluation Services) members: Educational Credential Evaluators, Inc., SpanTran: The Evaluation Company, World Education Services (WES), or the Center for Educational Documentation. If you earned your bachelor's degree outside of the U.S. this credential evaluation must document minimum equivalency of a US baccalaureate degree or higher.

Statement of Intent

All applicants are required to compose an essay that addresses the following: 

  1. The reason you have applied to this program & MGH Institute of Health Professions
  2. How your past experiences (academic, personal, and/or extracurricular) have influenced your decision to apply
  3. Your specific area of interest and any applicable knowledge of statistics and/or programming skills
  4. Personal characteristics that will contribute to your success
  5. How completion of this program will assist you in reaching your professional goals.  

Essays should be 12 pt. font, double spaced, and no more than three pages in total. The statement of intent should be uploaded directly to your online application. 

Recommendation Letters

Applicants are required to provide one recommendation letter. All recommendations are processed through our online application. Please provide contact information for each recommender within your online application.

Recommendation letters should come from individuals who are able to address your academic ability, character and integrity, as well as your potential for graduate professional study. Letters should come from an academic or professional reference.

Resume or CV

Applicants are required to submit a current resume or CV.

Who do I contact for more information about the academic program, curriculum, or course requirements?
Please data-analytics [at] mghihp.edu (contact the Program).

Who do I contact for more information about the application process, my application status, or what documents to submit?
You are welcome to email the admission office, or call (617) 726-1304 weekdays between 9 a.m.-5 p.m. Eastern Time.

What is a good way to learn more about the MGH Institute?
Attend an admissions event for additional information.

Can I receive Financial Aid for this program?
Do not wait until you've been accepted to the program to learn about financial aid options available. Contact our Financial Aid office as soon as you have applied to ensure that you will be able to take advantage of all options available. When you apply for financial aid through the Free Application for Federal Student Aid (FAFSA), you'll need the MGH Institute Federal School Code: G22316.

Since this is not considered a full-time graduate program, you may not be eligible for most traditional financial aid programs. However, you may be eligible for employer tuition reimbursement if this is a graduate program of study in your profession.

What is your mailing address?
MGH Institute of Health Professions
Office of Enrollment Services
36 1st Ave.
Charlestown Navy Yard
Boston, MA  02129

Are there other Conditions of Admission?
Yes. If applicable, final transcripts and test scores must be submitted to satisfy the conditions of admission.

I’m an international student. Can I receive an F-1 Visa?
Please see General Information for Prospective International Students.

The curriculum has been developed in collaboration with senior leaders from within Mass General Brigham and other local healthcare leaders.  

We offer two structured pathways: a full-time, 12-month track and a part-time, 24-month track, designed to accommodate students at different stages of their academic and professional careers. The curriculum is delivered over three semesters—Fall, Spring, and Summer—and includes foundational and advanced coursework in healthcare data analytics, machine learning, data visualization, ethics, and leadership. All students complete a hands-on, application-based capstone project in their final term. While coursework is delivered remote and asynchronously, students may occasionally need to coordinate with instructors to access additional resources or schedule individual sessions based on their learning needs and availability.

Students may enter the program in either the Fall or Spring semester, with cohorts beginning in September and January, respectively. The part-time pathway follows a defined course sequence spread across two years.

View Curriculums

Program Timeline

*Note: While the structure of the curriculum remains consistent, specific course dates may shift slightly each year. This timeline reflects a typical full-time schedule.

Session 1 (Typically runs early September – late October):

  • DA-620 – Dynamic Healthcare Data Analytics Techniques & Methods: 620
  • DA-650 – Data Literacy, Analysis, and Decision Making

Session 2 (Typically runs late October – mid December):

  • DA-720 – Dynamic Healthcare Data Analytics Techniques & Methods: 720
  • DA-730 – Analyzing, Visualizing, and Storytelling with Data

Full Term (Typically runs mid January – late April):

  • DA-821 – Dynamic Healthcare Data Analytics Techniques & Methods: 821
  • DA-640 – Ethics, Data Security & Regulatory Governance
  • DA-822A – Dynamic Healthcare Data Analytics Techniques & Methods: 822A
  • DA-820 – Introduction to Artificial Intelligence and Machine Learning

Session 1 (Typically runs mid May – late June):

  • DA-850A – Applications of Analytics (A)
  • DA-823 – Dynamic Healthcare Data Analytics Techniques & Methods: 822B

Session 2 (Typically runs late June – mid August):

  • DA-830 – The Analytic Leader
  • DA-850B – Applications of Analytics (B)

A distinctive feature of the program is interprofessional experience, allowing students to collaborate and practice what they learn as they would in the real world - working with varying disciplines and personalities. You will enroll in courses with students from Post-Professional Doctor of Occupational Therapy, Doctor of Speech-Language Pathology, Master of Health Administration, and Health Professions Education. Shared course topics include leading interprofessional teams, diversity equity and inclusion, data analytics, and organization systems leadership. 

The output of software, data, is taking over the way that healthcare operates. A fundamental understanding of how metrics are created, improved, and maintained is a vital function for any healthcare professional working today. 

The capstone course—Applications of Analytics (DA-850A/B)—is the culminating experience of the MSDA program. Over the course of 10 weeks, students apply their statistical, computational, and investigative skillsets to a real-world healthcare analytics challenge. This final project allows students to demonstrate their mastery of healthcare data science by designing and executing a complete analysis pipeline, from data acquisition to communication of findings.

Capstone projects may draw from a range of data sources and partners, including:

  • Enterprise health systems (e.g., provider organizations, hospital operations data).
  • External partners such as nonprofit health agencies or advocacy groups.
  • Publicly available datasets (e.g., CMS, CDC, NIH repositories).
  • Collaborations with individual researchers working on active health data projects.
  • A professional white paper
  • A final oral or visual research presentation
  • Demonstrated skills in research design, data ethics, scientific writing, and stakeholder communication
  • Independent and team-based project execution.
  • Data-driven storytelling and visualization.
  • Translating complex analytics for healthcare decision-making.
  • Collaborative workflows with real-world partners.
  • Spring Semester (DA-850A) – Capstone Part A: Project definition, dataset acquisition, initial analysis
  • Summer Semester (DA-850B) – Capstone Part B: Full implementation, final analysis, and presentation

Students complete the capstone asynchronously but will coordinate with instructors and collaborators to access data, receive feedback, and schedule support sessions tailored to their availability.

Discover special tuition benefits available for:

  • Mass General Brigham employees, affiliates, and their families.
  • Employees and preceptors at over 600 clinical affiliation sites.
  • Institute alumni

Learn about eligibility and benefits

Upcoming Admissions Events

04 Dec
12:00 pm - 1:00 pm
Accepted Student Resource Fair - Spring 2026 Entry
12:00 pm - 1:00 pm

Virtual - Zoom
Data Analytics

Speaker Series

Explore the thrilling world of analytics, digital health and technology in healthcare. We've invited experts and pioneers to discuss cutting-edge use cases of data analytics to improve patient care, public health, and healthcare systems.

Faculty Working in the Field

Benefit from a faculty with strong affiliations to Mass General Brigham, ensuring your education is rooted in real-world expertise and relevance.

profile photo of Dr. He

Program Director Adjunct Assistant Professor Healthcare Data Analytics

photo of pedram in front of fall foliage

Term Lecturer Healthcare Data Analytics

allison goff

Adjunct Instructor Health Data Analytics

two men look at an apple laptop

Unlock Your Potential

Work-Life Balance and Professional Growth
Juggling work and student life? We've got your back.
At MGH IHP, we support working professionals like you. Our programs help you excel academically while managing your career. With flexible scheduling options, you can pursue your degree without compromising your professional success. Gain practical work experience through internships, co-op placements, and collaborative projects, building a strong network while learning. 

Student Work Opportunities

Frequently Asked Questions

This is a fully online program with some on-campus learning experiences. Online programs offer the convenience and flexibility of being able to complete coursework from anywhere, as long as you have a stable internet connection. This can be especially useful for working professionals who may not have the time or ability to attend classes in person.

However, it is worth noting that the program includes occasional on-campus learning experiences. These may be required in-person sessions or events, such as workshops or seminars, that take place on campus. It is important to carefully review the program requirements and schedule to ensure you are able to attend these on-campus learning experiences, as they may be a key part of the program.

It is also worth considering the potential benefits of in-person learning experiences, as they can provide an opportunity for face-to-face interaction with faculty and classmates, as well as hands-on learning opportunities that may not be possible in an online setting.

Data analytics in healthcare is a rapidly expanding field that is relevant to both clinical and non-clinical healthcare professionals, as well as to individuals looking to make a career change into the healthcare sector.

Clinical healthcare professionals, such as doctors, nurses, and other healthcare providers, can benefit from learning about data analytics by gaining a better understanding of how data can be used to improve patient care and outcomes. For example, data analytics can be used to identify trends in patient care, identify areas for improvement, and optimize resource allocation.

Non-clinical healthcare professionals, such as administrators, managers, and other support staff, can also benefit from learning about data analytics by gaining a better understanding of how data can be used to improve operational efficiency, reduce costs, and make more informed decisions.

Career changers who are interested in the healthcare sector may also find data analytics to be a valuable area of study, as the demand for skilled professionals in this field is expected to continue to grow in the coming years.

Earning a master’s degree can have an impact on one’s salary. The 2018 Burtch Works study, for example, found that those with a master’s degree in data analytics earn a median base salary of $92,500. Of course, salaries can vary based on job responsibilities, employer, location, etc. 

The MS in Healthcare Data Analytics program consists of 36 credit hours. Students can complete the program on a full- or part-time basis, usually earning a degree within 2 years. 

Graduates of the MSDA program go on to careers that combine their clinical, research, or operational expertise with advanced data skills, including:

  • Clinicians with advanced analytics capacity (e.g., physician-informaticists, data-literate nurse leaders)
  • Clinical and translational researchers using data to design studies and evaluate outcomes
  • Health Data Analysts and Public Health Data Scientists
  • Machine Learning Analysts, Biostatisticians, and Informatics Specialists
  • Analytics Consultants and Population Health Managers

The program is designed to help students “level up” in their existing field or pivot into high-impact, data-centric roles in healthcare.

The MSDA program is available in three structured formats to increase accessibility and flexibility for a wide range of learners:

  • Full-time MS (12 months) – Ideal for those seeking an intensive, one-year program.
  • Part-time MS (24 months) – Designed for working professionals who need a more flexible timeline.
  • Certificate in Healthcare Data Analytics (12 months) – A shorter program focused on core skills in data analysis and visualization, open to applicants who may not be ready to pursue a full master’s.

Yes, you can study from anywhere. All coursework is fully remote and asynchronous. This means you can complete the program from any location and on your own schedule. Occasional live coordination with instructors may be needed to access project support or guidance—but we strive to schedule these flexibly to meet students’ needs.