Master [Interdisciplinary Data Science] From Duke University

• The Duke University Master in Interdisciplinary Data Science (MIDS) is a comprehensive program that integrates rigorous computational and technical training with practical experience in critical thinking, teamwork, communication, and collaborative leadership
• The MIDS program requires a total of 42 credits for completion, with a combination of core courses, electives, and a capstone project
• The MIDS program core courses including:
  • Unifying Data Science
  • Modeling and Representation of Data
  • Introduction to Natural Language Processing
  • Data Science Ethics
  • Practicing Machine Learning
• The MIDS students join Capstone partnerships their second year and during that year make substantial contributions to these real, complex projects
• The final deliverables of capstone projects are evaluated by MIDS core faculty and relevant external stakeholders

Click below and learn about the Academic Experience of the MIDS Program at Duke University.