For more information contact
Assistant Director, Master in Interdisciplinary Data Science (MIDS)
Jillian Sinelli-Murphy, M.Ed.
Durham, NC 27708
Phone: (919) 681-1972
General InformationDegree offered:
The Duke University Master in Interdisciplinary Data Science (MIDS) is home for creative problem-solvers who want to use data strategically to advance society. We are cultivating a new type of quantitative thought leader who uses disruptive computational strategies to generate innovation and new insights.
MIDS combines rigorous computational and technical training with field knowledge and repeated practice in critical thinking, teamwork, communication, and collaborative leadership to generate data scientists who can add value to any field.
Other Requirements: an interview may be required in addition to all Graduate School requirements.
Graduate School Application Requirements
See the Application Instructions page for important details about each Graduate School requirement.
- Transcripts: Unofficial transcripts required with application submission; official transcripts required upon admission
- Letters of Recommendation: 3 Required
- Statement of Purpose: Required
- Résumé: Required
- GRE Scores: GRE General (Optional for 2023)
- English Language Exam: TOEFL, IELTS, or Duolingo English Test required* for applicants whose first language is not English
*test waiver may apply for some applicants
- GPA: Undergraduate GPA calculated on 4.0 scale required
- 1 page Essay on Leadership and Teamwork (See department guidance below)
- 2 minute video (See department guidance below)
Department-Specific Application Requirements (submitted through online application)
MIDS is committed to the idea that data science is most successful when it is done in interdisciplinary teams. As part of your online application, you must upload a one-page, single spaced, essay on leadership and teamwork. The essay should address (i) your most significant leadership experiences and (ii) conflicts and disagreements on teams you have been on either as a leader or team member, and how you helped resolve them.
Please prepare a 2-minute video in which you describe the problem you are most excited to solve using data science. When you are ready, record your video using the Video Essay tab in the application.
We strongly encourage you to review additional department-specific application guidance from the program to which you are applying: Departmental Application Guidance