What is the difference between the MIDAS Data Science Certificate and the School of Information’s Information Analysis and Retrieval track?
A: Yes, if you already have some of the courses taken (remember you can only double count 1 course with your core grad program) you may be able to quickly satisfy the remaining DS Certificate requirements. Register for the Program and go through the complete check-list to ensure you do receive your certificate upon graduation.
A: This is either an internship with an external mentor/organization or a research project with a UMich faculty mentor – must involve substantial data-handling and be equivalent to 3 credit semester course (~140 hrs of work).
A: The project scope and deliverables are determined on a case-by-case basis (in discussion with MIDAS DS Program Chair). The project must have a significant “data science” (modeling, analytics, visualization) aspect to it with a clearly defined end-product (e.g., software, paper, report, app, service, learning module, DB, platform, infrastructure, etc.)
A: Absolutely, most students determine their hands-on experiential requirements while they are enrolled in the Program.
A: Include your current preliminary plan, what you would like to do for the practicum. Specifics can be determined later while enrolled in the program and after reviewing the MIDAS opportunities (http://midas.umich.edu/careers/).
A: No, prior experience is not a criterion for admission into the graduate Data Science certificate program. Motivation, hard work, and self-drive are more important.
A: The School of Information’s Information Analysis & Retrieval program/track (https://www.si.umich.edu/academics/msi/information-analysis-and-retrieval-iar) is mostly geared for business analytics. The Data Science Certificate program is a bit more general modeling, technology and applications oriented. You may enroll in both, however, you still can only “double-count” one course at most. See Rackham Degree and Certificate Program Rules.