Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will become dependent on data. It is imperative that educators, administrators, and students begin today to consider how to best prepare for and keep pace with this data-driven era of tomorrow. Undergraduate teaching, in particular, offers a critical link in offering more data science exposure to students and expanding the supply of data science talent.
Data Science for Undergraduates: Opportunities and Options offers a vision for the emerging discipline of data science at the undergraduate level. This report outlines some considerations and approaches for academic institutions and others in the broader data science communities to help guide the ongoing transformation of this field.
Table of Contents
|2 Knowledge for Data Scientists||12-34|
|3 Data Science Education||35-59|
|4 Starting a Data Science Program||60-71|
|5 Evolution and Evaluation||72-86|
|Appendix A: Biographies of the Committee||95-104|
|Appendix B: Meetings and Presentations||105-110|
|Appendix C: Contributing Individuals||111-116|
|Appendix D: Data Science Oath||117-120|
Highlights from the report, Data Science for Undergraduates: Opportunities and Options.
At the request of the National Science Foundation, the National Academies of Sciences, Engineering, and Medicine organized a study to explore what data science skills are essential for undergraduates and how academic institutions should structure their data science education programs. During this webinar, study co-chairs Laura Haas and Alfred Hero discuss the report's findings and recommendations, followed by a question and answer session with webinar participants.
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