Courses and Workshops
Public Interest Technology (PIT) Fellowship at The Gerald R. Ford School of Public Policy
Winter Semester 2020
The Gerald R. Ford School of Public Policy at the University of Michigan in conjunction with Generation Titans and Techtown Detroit are launching an inaugural Public Interest Technology (PIT) Fellowship for current Masters students and recent graduates. The objective of the Fellowship will be to educate practitioners, students, and key decision-makers about emerging PIT research and develop a robust strategy to address inequities currently in PIT-adjacent fields.
Students will be matched with social entrepreneurs for a semester long project that focuses on a social benefit for the Detroit Metro area. Students will work in consulting teams where they will engage with PIT research, as well as develop consulting and project management skills. At the end of their project, student teams will present their innovative solutions to representatives from Techtown Detroit, faculty from the Ford School of Public Policy, New America Foundation. Project findings will also support PIT Collaborative research development which will be shared with national the PIT University Network institutions.
Big Data Summer Institute
June 17 – July 26, 2019
The FINAL application deadline is March 1
The Big Data Summer Institute is a six-week interdisciplinary training and research program in biostatistics that introduces undergraduate students to the intersection of big data and human health — a rapidly growing field that uses quantitative analysis to help solve scientific problems and improve people’s lives. Drawing from the expertise and experience of outstanding faculty of several departments at the University of Michigan — biostatistics, statistics, and electrical engineering and computer science — the institute exposes undergraduate students to diverse experiences and techniques that distinguishes it from any other undergraduate summer program in biostatistics in the country.
Data Science MOOCs
MIDAS offers a number of online courses that cover specific topics and provide their own certificates of completion (for each individual MOOC). For instance, the Data Science and Predictive Analytics MOOC is offered annually and provides a general overview of the principles, concepts, techniques, tools and services for managing, harmonizing, aggregating, preprocessing, modeling, analyzing and interpreting large, multi-source, incomplete, incongruent, and heterogeneous data (Big Data).
A number of departments provide courses in various aspects of data science.