NSF award helps professors develop a data science course for non-computing majors

Rochester Institute of Technology professors have received a National Science Foundation award to develop a hands-on data science course for non-computing majors. The course will first be offered at RIT and then across the country, in an effort to promote computing for all.

RIT plans to start offering the new Data Science Principles course in fall 2021. During the course, students from many different backgrounds can learn how to extract knowledge and patterns from data that’s important to their field — and all without needing to know how to program or code.

The demand for data science knowledge stretches beyond computing to many disciplines that have become data-driven, including business, engineering, science, healthcare, and the humanities. According to an IBM study, the number of data science and analytics job listings will grow to about 2.7 million in the U.S. this year, a demand that won’t be met unless universities begin

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Research on Emerging Technologies for Teaching and Learning (RETTL) (nsf20612) | NSF

Replaces Document(s):

NSF 17-598

National Science Foundation

Directorate for Computer and Information Science and Engineering

Directorate for Education and Human Resources

Directorate for Engineering

Directorate for Social, Behavioral and Economic Sciences

Full Proposal Deadline(s) (due by 5 p.m. submitter’s local time):

     January 25, 2021

Deadline for FY 2021 competition

     October 18, 2021

Deadline for FY 2022 competition

     October 17, 2022

Deadline for FY 2023 competition


Please note that the solicitation has been substantially revised. The main revisions are:

  • The program’s new name (previously called Cyberlearning) reflects its broad scope and includes a new focus on supporting research on emerging technologies for teaching. In addition to supporting student learning, this new focus supports research to enhance the work of teachers, mentors, and educators in formal and informal settings.
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