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
Front Matter Summary 1 Introduction 2 Knowledge for Data Scientists 3 Data Science Education 4 Starting a Data Science Program 5 Evolution and Evaluation 6 Conclusions Appendixes Appendix A: Biographies of the Committee Appendix B: Meetings and Presentations Appendix C: Contributing Individuals Appendix D: Data Science Oath
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