The Michigan Engineer News Center

New undergraduate program in data science grows rapidly, graduates first student

The first engineering student to graduate with a degree in data science was Ryan Schrader.| Short Read
EnlargeRyan Schrader
IMAGE:  Ryan Schrader is the first engineering alumnus of the data science program.

In Fall 2015, the EECS Department and the Department of Statistics in LSA launched a joint undergraduate program in Data Science. As of Spring of 2016, the program had grown to 79 declared majors, 36 in engineering and 43 in LSA.

The first engineering student to graduate with a degree in data science was Ryan Schrader, a dual data science/computer science major who matriculated in December 2015. Ryan, who has recently begun work as a Software Developer on the Predictive Analytics team at healthcare software firm Epic near Madison, Wisconsin, says that until the announcement of the data science major, he was unsure whether he would be fully prepared to work in the field of data science.

“Through the data science major, I was exposed to statistics courses and capstone projects that served to deepen my understanding of statistical theory and application, which has since proven essential in my ongoing learning and projects post-graduation,” said Ryan. “At Epic, I look forward to using these skills on a daily basis, whether it is exploring and visualizing a new dataset or building and testing new predictive models.”

Ryan Schrader
Portrait of Steve Crang


Steve Crang
CSE Marketing and Communications Manager

Michigan Engineering

(734) 763-9996

3832 Beyster Bldg

The electrons absorb laser light and set up “momentum combs” (the hills) spanning the energy valleys within the material (the red line). When the electrons have an energy allowed by the quantum mechanical structure of the material—and also touch the edge of the valley—they emit light. This is why some teeth of the combs are bright and some are dark. By measuring the emitted light and precisely locating its source, the research mapped out the energy valleys in a 2D crystal of tungsten diselenide. Credit: Markus Borsch, Quantum Science Theory Lab, University of Michigan.

Mapping quantum structures with light to unlock their capabilities

Rather than installing new “2D” semiconductors in devices to see what they can do, this new method puts them through their paces with lasers and light detectors. | Medium Read