Data scientist has been voted the top job two years running by employment site Glassdoor, and to meet the need for well-rounded data scientists, the Duke University Board of Trustees has approved a new master’s degree program to help meet the need for well-rounded data scientists who can work with different industries and experts.
The Master in Interdisciplinary Data Science (MIDS) emerges from a particular vision of data science as an inherently interdisciplinary and team-based endeavor. It borrows technical tools from a variety of quantitative disciplines like computer science and statistics, and connects them to inquiry in nearly all disciplines, including natural sciences, social sciences and humanities.
Launching in fall 2018, students will receive interdisciplinary training within the quantitative sciences while gaining exposure to problems in a variety of disciplines and direct experience in interdisciplinary team-based science.
The curriculum will emphasize exposure to how these methods are applied to different areas of interest through team-based projects. Elective courses will constitute half of the courses taken by students, giving them ownership of their focus and direction within the program.
The program expects to recruit 20 students seeking initially, with this number expected to grow and include students from increasingly diverse academic backgrounds.
This vision of data science offers not only a degree curriculum but also a complementary new model for advancing university-wide engagement in graduate education across departments and schools.