Advanced Certificate in Healthcare Data Science and Artificial Intelligence

A person looking at data on a large screen in a darkened room.

The advanced certificate in healthcare data science and artificial intelligence is a multidisciplinary, cross-departmental, graduate credential administered by the University of Rochester’s Goergen Institute for Data Science and Artificial Intelligence, created in partnership with the UR Health Lab, and approved by the New York State Board of Education. The advanced certificate program helps students build state-of-the-art skills to harness data for improving health and healthcare outcomes.

The program is designed for individuals with working knowledge of data science, gained through industry or academic experience, who would like to formalize their training with a deeper mastery of fundamental concepts in the field.

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Admissions Criteria
  • A bachelor’s degree from a regionally accredited institution in the United States or a comparable degree from academic institutions in other countries.
  • Previous exposure to introductory computer programming, calculus and statistics are not required but will be beneficial.
How to Apply

To apply, submit an online application with the following material:

  • Official transcript(s) from bachelor’s degree (and any other higher education experiences)
  • Personal statement describing:
    • Prior experience
    • Career and educational goals
  • Resume/CV
  • Two letters of recommendation (must be received by application deadline)
  • GRE and TOEFL/IELTS scores are not required

Apply by March 15 to be considered for summer semester admissions.

Apply by June 15 to be considered for fall semester admissions.

There is no application fee for the advanced certificate as this is a PART-TIME program.

Program Requirements

The advanced certificate in healthcare data science and artificial intelligence program is 16 credits, or the equivalent of four, graduate level courses. The program can be completed in as few as two semesters of part-time study. This is a fully online program.

Courses

The program consists of four courses:

  • DSCC 481: Python Programming and Tools for Data Science (fall/summer)
  • DSCC 485: Introduction to Privacy, Fairness and Ethical Considerations for Healthcare Data Science (fall/summer)
  • DSCC 486: Applied Machine Learning and Healthcare Data Mining (fall/spring)
  • DSCC 488: Deep Learning and Generative AI for Healthcare (spring/summer)

Students who can demonstrate a strong background in Python programming can substitute a different data science or computer science course as appropriate for DSCC 481.

Tuition

Courses are 4 ASE graduate credits and part-time students will have no fees. For tuition information, please review the part-time schedule of tuition and fees.

University of Rochester employees may be eligible for tuition benefits.

Transferring Credits to a Master of Science (MS) in Data Science

Students are permitted to take two courses as an unmatriculated student and use them toward the advanced certificate. Courses MUST be at the graduate (400) level and not undergraduate level.

Students interested in transferring credits earned from the advanced certificate to the Master of Science (MS) in data science program should contact the program advisor at gids-advcert@rochester.edu.

Contact Us

For additional information on this advanced certificate program, contact gids-advcert@rochester.edu.