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Data Science in the Business Environment: Skills Analytics for Curriculum Development

机译:商业环境中的数据科学:课程开发的技能分析

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Data science is an interdisciplinary field of methods, processes, algorithms and systems to extract knowledge or insights from data. University of Winchester Business School, UK is developing an undergraduate degree programme in Data Science which brings together student-centred and business-driven approaches: positioning the course for the interests of students and requirements of employers. The new programme follows the expectations of relevant subject benchmark statements and is built on activities which focus on different aspects of data science, drawing on some existing modules as a base. It integrates key themes in information management, data mining, machine learning and business intelligence. This paper presents the ongoing development of the Data Science programme through the key aspects in its conception and design. Understanding the employment market while defining specific skills sets associated with potential graduates is always important for courses in higher education. The Skills Framework for the Information Age (SFIA) has been adopted and a novel mapping proposed for the interpretation of employability skills related to data science. These are then linked to an adapted process model as well as the specialist modules across academic levels.
机译:数据科学是一种跨学科的方法,流程,算法和系统的跨学科领域,用于从数据中提取知识或见解。温彻斯特大学商学院,英国正在制定数据科学的本科学位课程,汇集了以学生为中心的和业务驱动的方法:定位课程以获得学生的利益和雇主的要求。新计划遵循相关主题基准陈述的期望,并建立在专注于数据科学的不同方面的活动,将某些现有模块绘制为基础。它集成了信息管理,数据挖掘,机器学习和商业智能的关键主题。本文通过其概念和设计中的关键方面介绍了数据科学计划的持续发展。了解就业市场,同时定义与潜在毕业生相关的具体技能组,对高等教育中的课程始终是重要的。信息时代(SFIA)的技能框架已被采纳,并提出了一种对与数据科学相关的就业技能的解释的小说映射。然后将这些与适应的过程模型以及学术级别的专业模块相关联。

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