Capstone and Immersion

Tufts University School of Medicine’s online MS in Health Informatics & Analytics is designed to empower change-makers to analyze, interpret, and communicate outcomes from health data as well as develop technology-based solutions that benefit healthcare providers, health practitioners, and the communities they serve. Our goal is for students to hit the ground running upon graduation, equipped with real-world experience and local connections.

As a student in the program, you will complete a capstone project that integrates the knowledge and skills you have gained in the classroom and apply it to a real-world healthcare problem at an organization of your choice.

In order to kick-start your Capstone Practicum successfully, you will first attend the Capstone Planning Immersion.

Capstone Practicum

The Capstone Practicum will provide you with professional and scholarly experience in your chosen field that will result in a project that benefits a host organization in your community. You will spend approximately 140 hours over a semester to complete the project you develop with the guidance of your preceptor and Health Informatics & Analytics faculty for the selected organization.

During the capstone project, you will apply relevant skills and gain real-world expertise at an organization of your choice. Your experience will help prepare you to work in a team environment as you network with collaborators and colleagues in the field. Health Informatics & Analytics capstones may be completed at healthcare facilities, research organizations, health information technology vendors, or governmental agencies.

Sample Capstone Projects

Below are some sample projects that students in the MS in Health Informatics & Analytics program could complete as a capstone experience:

Assisting in monitoring the implementation of privacy and security policies for cross-state data exchanges for telehealth patients


Reviewing and analyzing hospitalization data as part of a quality improvement initiative at a hospital

Analyzing data to develop clinical decision support or other technology-based interventions to address pain points in clinical workflow at a hospital

Researching business standards for interoperability to support information sharing for a state emergency operations center


Evaluating a web portal designed to improve care coordination in the emergency department of a hospital

Preparing for the Capstone

You will begin planning and researching for your capstone project approximately six to nine months prior to the immersion. Your timeline might look like the following:

Six months before the immersion

  • Engage with Career Services.
  • Update your resume, cover letter, and social media presence.
  • Research possible projects and perform informational interviews in your area of interest.
  • Identify three possible sites for a practicum.

Three months before the immersion

  • Meet with Career Services.
  • Identify possible practicum sites.
  • Identify preceptor and project possibilities.

One months before the immersion

  • Register for the Capstone Immersion Planning course.

For more detail about the capstone experience, read through our Capstone FAQ.

Capstone Planning Immersion

At the Capstone Planning Immersion, you will have an opportunity to engage with classmates, faculty, employers, and other professionals in the field as you plan your capstone project. Faculty and staff are available to answer questions and provide support throughout the planning process.

During this immersion experience, you will participate in activities designed to help you through the capstone planning process. Events may include the following:

  • Tufts campus tours
  • presentations by guest speakers and thought leaders in the field
  • hackathons
  • R and Python coding workshops
  • networking opportunities
  • design UI/UX workshops

Start Developing Health Data Solutions

In a health informatics or analytics career, not only can you say you’ve made a difference, but you can measure just how much. Take the next step toward overseeing today’s health data systems and working to create better ones for the future.