MS in Healthcare Data Science and AI (ONLINE)

Our innovative, online MS program in Healthcare Data Science and AI is offered collaboratively by Georgen Institute for Data Science and the UR Health Lab at the University of Rochester Medical Center and provides working professionals with the opportunity to upskill and/or change career paths with formal training.

The curriculum is designed for professionals from various backgrounds, including those already working in both in technical or clinical healthcare roles, and prepares program graduates for roles in data analytics, data science, and AI applied to the healthcare industry.

Program Objectives

Students will learn:

  • Various data science, AI, and machine learning methods and techniques applicable to deriving new insights from healthcare data
  • Practical aspects of accessing (including understanding its provenance) and analyzing healthcare data
  • How to develop data science solutions with real-world clinical/healthcare data sets in a fair, reproducible, and ethical manner

Coursework

The program consists of eight online courses offered during fall and spring semesters.

Courses will be delivered online via zoom lectures. Students will also receive access to the University’s computing infrastructure, which has common software packages for data science installed on the system.

Program courses include:

  • DSCC 481: Python Programming and Tools for Data Science (fall)
  • DSCC 482: Statistical Foundations and Data Visualization (fall)
  • DSCC 484: Healthcare Data Management and Clinical Informatics (fall)
  • DSCC 485: Introduction to Privacy Fairness and Ethical Considerations for Healthcare Data Science (fall)
  • DSCC 486: Applied Machine Learning and Healthcare Data Mining (spring)
  • DSCC 487: Inferential Statistics for Data Science (spring)
  • DSCC 488: Deep Learning for Healthcare (spring)
  • DSCC 489: Healthcare Data Science Practicum (spring)

Tuition

The Healthcare Data Science & AI MS program is a graduate program and charges tuition at the Hajim graduate rate. You can view current tuition and fee schedules on the Bursar’s Office website.

Applicants are automatically considered for tuition discounts and fellowships based on their application. No separate application or request process is needed

A student using a computer to analyze data.

Getting Real-World Experience

Practicum Project

A culminating practicum project course provides students with experiential learning opportunities to take the skills they acquired in the first seven courses and apply them to a real-world healthcare problem and clinical dataset under the supervision of industry, academic, and/or research lab mentors who will collaborate with the program.

Program Duration

The Healthcare Data Science and AI MS program is 32 credits, or the equivalent of eight graduate level courses. The time it takes to complete this program can be adjusted for the needs to the student:

  • Full-time student can complete the program in two semesters (one year) by taking four courses each semester
  • Part-time students can complete the program in:
    • Four semesters (two years) by taking two courses each semester
    • Eight semesters (four years) by taking one course each semester

Courses are currently offered in the fall and spring semesters (live synchronous and also recorded) in the late afternoons or early evenings to accommodate typical working hours for professionals.

Sample Schedules

We’ve outlined two possible sample schedules students might take to complete program requirements.

Full-Time Course Sample Schedule

Fall semester:

  • DSCC 481: Python Programming and Tools for Data Science
  • DSCC 482: Statistical Foundations and Data Visualization
  • DSCC 484: Healthcare Data Management and Clinical Informatics
  • DSCC 485: Introduction to Privacy Fairness and Ethical Considerations for Healthcare Data Science

Spring semester:

  • DSCC 486: Applied Machine Learning and Healthcare Data Mining (spring)
  • DSCC 487: Inferential Statistics for Data Science (spring)
  • DSCC 488: Deep Learning for Healthcare (spring)
  • DSCC 489: Healthcare Data Science Practicum (spring)
Part-Time Course Sample Schedule

Fall semester—year one:

  • DSCC 481: Python Programming and Tools for Data Science
  • DSCC 482: Statistical Foundations and Data Visualization

Spring semester—year one:

  • DSCC 484: Applied Machine Learning and Healthcare Data Mining (spring)
  • DSCC 485: Inferential Statistics for Data Science (spring)

Fall semester—year two:

  • DSCC 486: Healthcare Data Management and Clinical Informatics
  • DSCC 487: Introduction to Privacy Fairness and Ethical Considerations for Healthcare Data Science

Spring semester—year two:

  • DSCC 488: Deep Learning for Healthcare (spring)
  • DSCC 489: Healthcare Data Science Practicum (spring)

Eligibility

Student enrolling in this program should have an undergraduate degree. Exposure to introductory computer programming and undergraduate level calculus will be necessary for success in the program.

If a student does not have this background at the time of application, bridging courses through either credit bearing coursework or online certificates in introductory programming or math for data science will be stated in your admission offer letter.

While students from across the US and the world are eligible for this degree, the program does not provide F-1 visa or STEM-OPT sponsorship.

Applying

Applications for fall 2025 are now OPEN. We do not have spring admissions. Applications for fall 2026 will be open in September 2025.

Start Your Application

Application Fee

There is no application fee for the online Healthcare Data Science and AI MS program.

Application Review

Applications for the online program will be reviewed on a rolling basis, and decisions will be communicated within 30 days. Applications will not be considered after July 15.

Application Submission

Applications must be submitted online and should be initiated several weeks ahead of deadlines to ensure that all materials, including test scores and letters of recommendation, are received on time.

Questions?

We know a lot goes into the decision process of choosing a master’s program and want to make sure you have all of the information you need. That’s why we’ve put together a comprehensive frequently asked questions (FAQ) page to help make your decision just a little easier.