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A Comparative Study of the Academic Programs between Informatics/BioInformatics and Data Science in the U.S.

机译:美国信息学/生物信息学与数据科学学术课程的比较研究

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As Data Science has recently become a trend of the innovation of building new academic programs in the U.S. higher education, a holistic review and analysis of the curriculum development in a close field called Informatics or Bioinformatics, occurred more than a decade ago, seems to be beneficial and necessary in helping and supporting the healthy growth of Data Science programs. In this paper, a thorough comparative study between Informatics and Data Science was presented through comparing and investigating the similarities and differences of their curriculum structures, bodies of domain knowledge, technical skill sets, research areas, faculty preparation, student background, as well as the lessons learnt from the development of Informatics programs and challenges in developing Data Science programs. It is believed that the recommendations drawn from this study will assist educators to build their Data Science programs with the confidence and determination but without hesitation and fear of misstepping along the way in promoting and building their new programs.
机译:由于数据科学最近已成为在美国高等教育中建立新的学术计划的创新趋势,因此,在十多年前的一个名为“信息学”或“生物信息学”的封闭领域中,对课程发展进行了全面的回顾和分析,这似乎是在帮助和支持数据科学计划的健康增长方面既有益又必要。本文通过比较和调查它们的课程结构,领域知识体系,技术技能集,研究领域,师资准备,学生背景以及专业背景,学科领域的异同,对信息学和数据科学进行了全面的比较研究。从信息学计划的开发中汲取的教训以及开发数据科学计划的挑战。可以相信,从这项研究中得出的建议将帮助教育工作者以信心和决心来建立自己的数据科学计划,而无需犹豫和担心在推广和建立新计划的过程中会走错步伐。

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