From Student to Mentor

Mastering the Moment

MADS alum Rachel Wyatt now leads SIADS 500, helping working professionals build the technical foundation and confidence to succeed in applied data science.

In the rapidly evolving landscape of data science, the path from novice to professional is rarely a straight line. No one understands this better than Rachel Wyatt, a lecturer at the University of Michigan School of Information and a proud graduate of the Master of Applied Data Science (MADS) program. Today, Wyatt sits on the other side of the screen, leading SIADS 500: Data-Oriented Python Programming and Debugging, a course designed to bridge the gap for students entering the rigorous online program.

One of the hallmarks of the MADS program is its diversity. “Based on the students I have gotten to know, there is no such thing as a typical MADS student,” Wyatt says. The class is a melting pot of seasoned data scientists looking to formalize their credentials to career-switchers with limited coding experience.

SIADS 500 serves as the ultimate equalizer. While some students enter with advanced standing, others rely on this course to build a foundational mastery of Python and statistics. By leveling the playing field early, Wyatt ensures that every student, regardless of their starting point, has the tools to succeed in the more complex modules that follow.

Because MADS is designed for working professionals, Wyatt is acutely aware of the balancing act involved with pursuing a career, handling course work, and managing a personal life. The program’s asynchronous structure is the linchpin of supporting this juggling act, allowing students to engage with lecture videos on their own terms by offering a unique synchronous lab component via Zoom.

This real-time interaction fosters a sense of camaraderie that is often missing in digital spaces. “We aim to make the lab sessions a welcome learning environment where we can all share our code and learn from each other,” she says. For those whose schedules simply won't budge, Wyatt provides recorded sessions and alternative assessments, ensuring no student is left behind due to a time zone or a deadline at work.

Teaching in a program you graduated from provides a unique pedagogical edge. Although SIADS 500 wasn't offered during her time as a student, Wyatt uses her platform to share the "what I wish I knew" insights that only an alum can provide. She treats her classroom as a mentorship hub where she shares her post-MADS career takeaways.

Why choose MADS over a traditional Master of Data Science? For Wyatt, the answer lies in the word "applied." While the program provides enough theory to make sound technical decisions, the focus is squarely on building a portfolio.

By the time students reach their milestone and capstone courses, they aren't just reciting formulas; they are solving real-world problems. This practical focus gives UMSI graduates a tangible competitive edge in the job market. Whether they are pivoting to a new role or advancing in their current field, MADS graduates leave with a body of work that speaks louder than just a transcript.

As Wyatt continues to foster community through Slack, Zoom labs, and other events, her mission remains clear: helping students find the same joy in coding that she discovered. "I'm very proud to be a MADS graduate," she says, "and I consider myself lucky that I get to work with the amazing students in this program. Go Blue!"