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Competitive Data Science at Michigan


NFL Free Agent Prediction Challenge

We kick off the event November 10, 2017 6-7pm 10th Floor Weiser Hall.
Fill out this signup form to register for the NFL Challenge

In this competition, student teams at the University of Michigan will use historical free agent data to predict the value of new contracts signed in the 2018 free agency period. These predictions will be evaluated against the actual contracts as they are signed. This competition is organized by the Michigan Data Science Team (MDST), in collaboration with the Baltimore Ravens and the Michigan Sports Analytics Society (MSAS).

MDST Quicken Loans Challenge

Sign up here to get started on the Quicken Loans Prediction Challenge

Meeting Times for Fall 2017

  • Project Team Meetings: Thursdays 5:30pm to 6:30 in BBB 3725
  • MDST Tutorials: Tuesdays 5:30pm to 6:30 in Dow 3150 

Check the calendar to confirm there is a meeting!

Internal Site

MDST’s Internal Site hosts information our active members, all our active projects and a comprehensive list of data science resources.

New Members

Prospective Members should sign up here to join MDST.


The Michigan Data Science Team (MDST) is a competitive collegiate data science team at the University of Michigan, Ann Arbor. Together, we compete against professional and amateur data scientists from around the world in online prediction challenges.

Competitive data science has become increasingly prominent in the past decade with the immense popularity of high-profile competitions such as The Netflix Prize. Now, online venues such as Kaggle, DrivenData, and Quantopian, among others, provide platforms for data scientists around the world to make impactful contributions to a huge variety of prediction problems while competing for cash prizes. Previous competitions have explored prediction problems in healthcare, particle physics, finance, and countless other domains, and have involved many types of structured and unstructured data.

We an organization at the University of Michigan in MIDAS that is looking for dedicated students who are interested in taking part in data science competitions. Ideally, students will have a strong background in computer science, mathematics, and statistics, but all students are welcome to participate. We will be meeting on a weekly basis throughout the year, where students can share strategies and give tutorials. Anyone is welcome to attend these meetings! For your hard work and dedication, we will be offering internal prizes to the students who achieve the highest performance on our prediction challenges.

Current Projects

MDST – NFL Free Agency Value Prediction Competition Kick-Off – Nov. 9, 6pm

| Data, Data sets, Educational, Events, Happenings, MDSTPosts, MDSTProjects, News | No Comments
In this competition, student teams at the University of Michigan will use historical free agent data to predict the value of new contracts signed in the 2018 free agency period.…

MDST announces Detroit blight data challenge; organizational meeting Feb. 16

| Educational, General Interest, MDSTPosts, MDSTProjects, News | No Comments
The Michigan Data Science Team and the Michigan Student Symposium for Interdisciplinary Statistical Sciences (MSSISS) have partnered with the City of Detroit on a data challenge that seeks to answer the…

Google, U-M to build digital tools for Flint water crisis

| MDSTProjects | No Comments
FLINT—A partnership between Google and the University of Michigan's Flint and Ann Arbor campuses aims to provide a smartphone app and other digital tools to Flint residents and officials to…

Current Posts

MDST – NFL Free Agency Value Prediction Competition Kick-Off – Nov. 9, 6pm

| Data, Data sets, Educational, Events, Happenings, MDSTPosts, MDSTProjects, News | No Comments
In this competition, student teams at the University of Michigan will use historical free agent data to predict the value of new contracts signed in the 2018 free agency period.…

MDST Partners with City of Detroit to Improve Blight Enforcement

| MDSTPosts, News | No Comments
Author: Allie Cell, College of Engineering PROBLEM OVERVIEW Property blight, which refers to lots and structures not being properly maintained (as pictured above), is a major problem in Detroit: over…