Can I count classes I have already taken?

Should the experiential/practicum project be outside of my own research?

What is the difference between the MIDAS Data Science Certificate and the School of Information’s Information Analysis and Retrieval track?

Q: I have already taken several courses listed in the DS Certificate Program. Can I count these and go through the program quickly?

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.

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Q: I noticed that part of the program involves a data science related experience/project. What does this project involve?

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).

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Q: Regarding the experiential/practicum Data Science project, should the project be outside of my own research or can it be part of my own research?

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.)

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Q: Since I have yet to take any courses in data science and have not come up with a project, is it possible to decide about the specific practicum later on?

A: Absolutely, most students determine their hands-on experiential requirements while they are enrolled in the Program.

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Q: What should I write on the application in the “Data Science related Practicum Experience” section now, if I have no idea yet?

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/).

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Q: Will the lack of prior data science experiences (aside from my personal endeavor in machine learning over the summer) influence the success of the application?

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.

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Q: What are the difference between the MIDAS Graduate Certificate in Data Science and the School of Information’s Information Analysis & Retrieval track?

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.

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