Employ quantitative methods, mathematical models, statistics, and/or logic to analyze data and solve real-world problems beyond the level of basic algebra. Identify common mistakes and/or limitations ...

A New Approach to Quantitative Data. CEEDS Research. Professor Luca Capogna and Abi Bowering ’24 are using artificial intelligence to inform Smith’s geothermal project. ... Capogna is also cognizant ...

Anyone who contends that those courses will lead students to STEM success are snake oil salesmen. Data literacy is not data science. The math needed in 2030 will be the same math that is needed now ...

Many say they support data science, but not courses lacking the full range of math topics in high schools that students need for STEM or any major requiring quantitative skills.

Data scientists are valuable assets in any discipline and able to apply current technological tools to assimilate data, perform analysis, and express results. Students will communicate results to ...

New course offerings in the burgeoning fields of data science and statistics “present new ways to engage students. At the same time, they can foster the quantitative literacy — or competency with ...

After earning a bachelor’s degree in mathematics and economics then working in research at the Federal Reserve Bank in New York, Isabel Krogh recently enrolled in the University of Chicago’s MS in ...

“Revocation of Area C (math) status will significantly reduce our ability to foster students’ statistical and data competency or incentivize enrollment in these programs, at a time when such ...