Data science programs in U.S. higher education: An exploratory content analysis of program description, curriculum structure, and course focus

Tang, Rong; Sae-Lim, Watinee

doi:10.3233/efi-160977

Cited by 63 publications

(59 citation statements)

References 9 publications

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“…There are many stakeholders in Digital business community and here internal community responsible for driving the business is common and in this space few professionals either individually or jointly play a good role viz. CIO, CTO, Systems Manager, User Experience Designer, Business Analyst etc and here they should know the role of digital technology and also and how it is used (or to be used) by customer, employees, and other stakeholders [12], [16]. Initially the traditional components of IT viz.…”

Section: Introductionmentioning

confidence: 99%

Digital Business: The Transition into New Age Dealing; Emphasizing Inputs from Cloud Computing and Big Data—An Indian Case

Paul

Bhuimali

Tiwary

et al. 2018

IRAJMSS

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<p class="lego-element">Business in today’s age changing rapidly, there are many reasons for this kind of transition of business houses and corporate bodies. Moreover, people in today’s age are using more online and digital means for the business and thus overall business systems are emphasize digital sources of revenue as well as digital channels. The concept of creation and dependencies of tools and technologies for financial economics systems is called Digital Economy and the growth of this leads to the development and familiarity with digital products and services among the service seekers and these ultimately are resulted in newer and competitive advantages in the digital space and system. Digital technology and its nature is also changing and has also challenged the existing business models. Here the key driving forces are included the capacity of innovation as well as the public availability of IT in different way. Digital business today is not a concept but it is about that stage of IT and Computing applications in different models viz. in marketing, ICT, social, business houses, healthcare, education and so on. Importantly these models may be seen as the convergence of technologies/ fully connected/integrated stage. In today’s age business is not only seen with computing and digital means but the traditional business systems also getting benefits from the ICT and here among the emerging names, few important include cloud computing, the Internet of Things, mobile and Big Data. It is important to note that this paper emphasizes the recent applications and role of Cloud Computing and Big Data in Business with a case of India. Moreover different financial aspects have also been described and analysed.</p>

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Section: Introductionmentioning

confidence: 99%

Digital Business: The Transition into New Age Dealing; Emphasizing Inputs from Cloud Computing and Big Data—An Indian Case

Paul

Bhuimali

Tiwary

et al. 2018

IRAJMSS

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“…However, there has already been a number of data science degree programs launched by universities, and schools or departments offering such programs include Business, Computer Science, Statistics, Mathematics, LIS, and Arts and Sciences (Tang & Sae-Lim, 2016). The variety of disciplines indicates the multidisciplinary nature of data science.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Although some researchers claim that "data" has triggered next wave of curriculum changes in LIS schools (Tonta, 2016), Ma and Pu (2016) expressed great concern that compared to the Computer Science, Software Engineering and Statistics disciplines (which are the primary sources of IT and data talent), LIS schools still have a long way to go. After analyzing the course content of various programs in data science, Tang & Sae-Lim (2016) point out that iSchools' courses cover less content on mathematics and statistics than other schools and departments, and therefore, doubt the competitiveness of data science programs offered by iSchools.…”

Section: Literature Reviewmentioning

confidence: 99%

The Development of Data Science Education in China from the LIS Perspective

Zhang

Wang

et al. 2017

IJoL

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Abstract:The aim of this paper is to introduce the development of data science in higher education in China, including the policy and educational programs at various levels. We investigated the data science education of five LIS (Library and Information Studies) schools in China, using Fudan University's Data Management and Application Master's Program as an example for more specific information about the curriculum structure, course focus and teaching methods in data science education. The paper further describes the action of promoting data science and data science education in the field of LIS by the China Academic Library Research Data Management Implementation Group. ABSTRACTThe aim of this paper is to introduce the development of data science in higher education in China, including the policy and educational programs at various levels. We investigated the data science education of five LIS (Library and Information Studies) schools in China, using Fudan University's Data Management and Application Master's Program as an example for more specific information about the curriculum structure, course focus and teaching methods in data science education.

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“…Probability models, pattern recognition are also important in Big Data Systems and it is also involved also with the areas of learning, visualization, machine learning, signal processing, statistical learning, database and mining, predictive analytics and databases, and so on [5], [7], [9]. The large amount of data affairs is called Big Data and organizations and institutions at large currently adopted Data Management benefits in different spaces [12], [13]. And it has become developed as a branch of study as well.…”

Section: Big Data and Data Sciences: An Overviewmentioning

confidence: 99%

Computing Academics into New Age Programs and Fields: Big Data Analytics & Data Sciences in Indian Academics—An Academic Investigation of Private Universities

Paul

Aithal

2018

IRAJMSS

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<p>India is moving towards a developed country and thus knowledge cultivation is very much required and in this context introducing new age programs and degrees are essential. This is required for the creation of next generation skills and knowledge as per industrial and organizational demands including Government etc. Data Science is about managing the large amount and complex data, moreover, it is also known as Big Data Technologies. Due to the wider requirement in different universities and organizations, many international universities have started academic programs on Data Sciences and Big Data. However, a large number of institutes are located in India but only a few offer programs on Data Science and Allied Technologies. Importantly most these are listed in Engineering Colleges and few Private Universities. Universities in this regard adopted both full-fledged degrees and specialization methods to offer the Data Sciences and Allied Technologies. This paper is theoretical and contextual in nature, but also purely interdisciplinary in nature combines with education, information technology, and managerial science to learn about the status and future of qualified and skilled manpower. However, the paper is specially focused on private universities only with a brief overview of the technologies in international universities. </p>

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Data science programs in U.S. higher education: An exploratory content analysis of program description, curriculum structure, and course focus

Cited by 63 publications

References 9 publications

Digital Business: The Transition into New Age Dealing; Emphasizing Inputs from Cloud Computing and Big Data—An Indian Case

Digital Business: The Transition into New Age Dealing; Emphasizing Inputs from Cloud Computing and Big Data—An Indian Case

The Development of Data Science Education in China from the LIS Perspective

Computing Academics into New Age Programs and Fields: Big Data Analytics & Data Sciences in Indian Academics—An Academic Investigation of Private Universities

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