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Data Science for Undergraduates Opportunities and Options (2018) / Chapter Skim
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6 Conclusions
Pages 87-92

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From page 87...
... This constitutes the emerging watershed of data science education that feeds multiple streams of generalists and specialists in society; citizens are empowered by their basic skills to examine, interpret, and draw value from data. Today, the nation is in the formative phase of data science education, where educational organizations are pioneering their own programs, each with different approaches to depth, breadth, and curricular emphasis (e.g., business, computer science, engineering, information science, math 87
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From page 88...
... Recommendation 2.2: Academic institutions should provide and evolve a range of educational pathways to prepare students for an array of data science roles in the workplace. Finding 2.3: A critical task in the education of future data scientists is to instill data acumen.
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From page 89...
... Finding 3.1: Undergraduate education in data science can be experi enced in many forms. These include the following: • Integrated introductory courses that can satisfy a general education  requirement; • A major in data science, including advanced skills, as the primary  field of study; • A minor or track in data science, where intermediate skills are con  nected to the major field of study; • Two-year degrees and certificates;  • Other certificates, often requiring fewer courses than a major but  more than a minor; • Massive open online courses, which can engage large numbers of  students at a variety of levels; and • Summer programs and boot camps, which can serve to supplement  academic or on-the-job training.
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From page 90...
... Recommendation 5.1: Because these are early days for under­ graduate data science education, academic institutions should be prepared to evolve programs over time. They should create and maintain the flexibility and incentives to facilitate the sharing of courses, materials, and faculty among departments and programs.
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From page 91...
... This should include developing and sharing measurement and evaluation frameworks, data sets, and a culture of evolution guided by high-quality evalu ation. Efforts should be made to establish relationships with sector specific professional societies to help align education evaluation with market impacts.
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Key Terms

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  • science programs
  • science community
  • data acumen
  • science roles

  • basic understanding
  • data skills
  • graduate data
  • data scientists
  • science boot

  • science methods
  • embrace data
  • nuanced data
  • instill data
  • developing data

  • science curriculum
  • future data
  • continuing education
  • responsible citizens
  • endow future

  • fessional societies
  • enable effective
  • specific professional
  • existing professional
  • convening sessions

  • community develop
  • multiple streams
  • boot camps
  • professional development
  • including advanced


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