The overarching goal of the Graduate Data Science Certificate Program is to train a cadre of skillful data scientists with significant multidisciplinary knowledge, broad analytical skills and agile technological abilities. The program emphasizes the practice of modeling using modern technology to handle large, incongruent, and heterogeneous collections of data. The Graduate Certificate for Data Science is approved by the Rackham School for Graduate Studies.
The program provides interactive data-centered training and involves 9 credits of courses and 3 credits of experiential training that require a written report on data analytics. MIDAS faculty from different disciplines provide mentorship and advising and the Institute offers merit-based top-off scholarships for graduate students enrolled in the certificate program. The Graduate Data Science Certificate Program is open for enrollment on a rolling basis. U-M graduate students from any field are eligible to enroll. Merit-based top-off fellowships may be provided. Minority and underrepresented students are strongly encouraged to enroll and complete the program.
The 9 course credits must be outside the student’s regular degree program/department. Completion of the program is expected in 3-4 semesters. The Graduate Data Science Certificate Program aims to provide core experiences in:
- (Modeling) Understanding of core Data Science principles, assumptions & applications;
- (Technology) Data management, computation, information extraction & analytics;
- (Practice) Hands-on experience with modeling tools and technology using real data.
Graduate students interested in enrolling in the MIDAS Data Science Graduate Certificate Program are encouraged to review the Prerequisites and complete the Graduate Data Science Readiness Self-Assessment Pretest.
For more information, contact: Ivo D. Dinov (firstname.lastname@example.org).
NOTE: The Graduate Data Science Certificate Program is only open to U-M students currently enrolled in a graduate degree-granting program.