Master In Interdisciplinary Data Science (MIDS), concentration in Biomedical Informatics

The Master in Interdisciplinary Data Science—Concentration in Biomedical Informatics is a full-time two-year education program for students who want to work in biomedical informatics where strong data science skills are needed to address future biomedical informatics challenges. Students will be exposed to the interdisciplinary application of data science while developing skills applied to real-world problems in healthcare.MIDS connects technical learning and expertise with the many domains in need of data insights. The true power of data in the twenty-first century lies in that connection and this program is developed around the belief that harnessing this power requires both interdisciplinary training and experience.The required core courses for all MIDS students during Year 1 are centered on marshaling, analyzing, and visualizing data. They create a shared language for all students and a common frame of reference for data-driven projects. The core courses reflect the multiple quantitative disciplines that contribute skill sets to data science.  Students acquire the knowledge and skills needed to become informatics professionals through an additional set of required courses during Years 1 and 2, culminating with a year-long capstone project synthesizing the student’s informatics knowledge in a real-world setting project.Students enroll as full-time students. They can earn their degree after completing 45 course credit hours.CORE MIDS COURSES

  • Data to Decision
  • Modeling and Representation of Data
  • Introduction to Text Analysis
  • Principles of Machine Learning
  • Data Management Systems
  • Data Logic, Visualization, and Storytelling
  • Data Science Ethics


  • Introduction to Informatics
  • Data Representation and Standards
  • Health Care Information Infrastructure
  • EHRs and Mobile Health
  • Health Care Systems
  • Health Analytics and Decision Support
  • Informatics Research Seminar


  • Online summer review in statistics, linear algebra, and programming to assure students are on the same playing field at the beginning of the program
  • Pre-orientation bootcamp to introduce you to your classmates and the technical and professional practices we will be using throughout the program
  • Seven required core courses that cover critical topics in statistical modeling, machine learning, programming, data wrangling, text analysis, database systems, data visualization, data regulations and ethics, and data interpretation
  • Up to eight additional electives in biomedical informatics to deepen and broaden knowledge in the topics students are most passionate about
  • Data science seminar that hosts outside speakers to discuss the latest developments and issues in data science
  • Informatics research seminars that host speakers to discuss research projects using informatics applications
  • One-year capstone project with Duke’s world-class research faculty and outside partners
  • Structured training to develop communication, teamwork, and leadership skills
  • Career development events, workshops, and mentoring

For more information:
(919) 668-4647