UMSI alumna Lydia Schrandt wasn't looking for data science. Data science found her. |
Lydia Schrandt (MADS ’24) spent more than a decade as a travel writer and editor before COVID-19 brought her industry to a standstill. Looking for a new opportunity, she landed at Coursera. There, almost by accident, she fell in love with data science.
Schrandt had never written a line of code when she joined Coursera’s content marketing team. But after taking Python for Everybody ?— the popular free course developed by UMSI clinical professor Charles Severance ?— she was convinced she could master a full range of data science skills and put them to work immediately.
That’s when she enrolled in the University of Michigan School of Information’s fully online Master of Applied Data Science program.
In this Q&A, Schrandt reflects on her winding path to data science, how a non-technical background can be a strength in MADS, and the single course experience that changed how she thinks about data. And marathons!
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Priority application for Fall 2026 closes in June |
Get priority admission and scholarship consideration for the University of Michigan School of Information’s online master’s degree program in applied data science. Apply in full by June 15, 2026 at 11:59 p.m. EDT. Classes begin Sept. 1, 2026. Application decisions are made on a rolling basis.
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Ask your MADS questions at these web events |
ICYMI: Master of Applied Data Science program eliminates application fee |
Interested students can now apply to the University of Michigan School of Information’s online degree program, the Master of Applied Data Science, at no cost.
Beginning with applicants for fall 2026, the program is waiving its application fee — previously $75 for U.S. citizens and permanent residents and $90 for international applicants.
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SIADS 500: Data-Oriented Python Programming and Debugging - Rachel Wyatt, Kyle Balog, Michelle LeBlanc
SIADS 501: Being a Data Scientist - Bobby Madamanchi, Ruth Corddry, Emily Schemanske
SIADS 502: Math Methods I - Alex McLeod, Morteza Taiebat
SIADS 505: Data Manipulation - Anthony Giove, Derek Bruckner, Alex McLeod
SIADS 524: Presenting Uncertainty - Nick Sheltrown, Deepti Wilson
SIADS 543: Unsupervised Learning - Jinseok Kim, Noha Ghannam
SIADS 593: Milestone I - Oleg Nikolsky, Kyle Balog, Toby Kemp, Erik Lang
SIADS 652: Network Analysis - Cory Bilyeu, Erik Lang
SIADS 673: Intro Cloud Computing for Data Science - Trevor Harkness, Lindsey Forche
SIADS 685: Search and Recommender Systems - Michelle LeBlanc, Toby Kemp
SIADS 696: Milestone II - Rachel Wyatt, Ryan Maley, Noha Ghannam, Erik Lang
Primary instructors and lecturers are indicated with each course. Courses are also supported by graduate student instructors and instructional aides.
Find MADS course descriptions and syllabi on the UMSI website.
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Image description: A LinkedIn post from UMSI.
Post caption: Every connection you’ve made here becomes a part of who you are out there. Congratulations on earning your MADS, Christopher Rodea! Visit UMSI’s 2026 Graduation Archive: umsi.info/Graduation2026
The graphic below the caption has a headshot of Christopher Steven Rodea, Master of Applied Data Science. The text to the left of the photo says, "'I am a part of all that I have met.' - Alfred Tennyson. Thank you to my family, friends, and fiancee for your endless support throughout my journey."
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Curated MADS job opportunities |
Some of the latest vetted career listings that Master of Applied Data Science students and alumni have direct access to on UMSI CareerLink this month:
Data Scientist, People Analytics Roblox | San Mateo, CA | $184,760 - $242,180 USD per year
Product Data Scientist, Search Google, Inc | Mountain View, CA | $138,000 - $198,000 USD per year
Monetization Strategist (Analytics) TikTok | San Jose, CA | $108,000 - $220,400 USD per year
UMSI CareerLink is an online platform exclusively for enrolled UMSI students and alumni that offers on-demand access to career support: jobs, internships, career coaching, career-building resources, special events and more.
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Want to learn more about the MADS program?
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