Title page for etd-0623114-002134


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URN etd-0623114-002134
Author Tai Hua Chen
Author's Email Address ctaihua.home@gmail.com
Statistics This thesis had been viewed 5340 times. Download 398 times.
Department EMBA
Year 2013
Semester 2
Degree Master
Type of Document
Language English
Title COMPARISON AND RECOMMENDATION OF PROGRAM CURRICULUM FOR MASTER OF SCIENCE
IN DATA ANALYTICS
Date of Defense 2014-07-12
Page Count 119
Keyword
  • Information Technology
  • Data Analytics
  • Big Data
  • IDC
  • Abstract The causality of workforce forecast and university new degree program establishment is obvious. According to the report of McKinsey&Company and IDC in 2011, the shortage of Big Data or Data Analytic talent would reach 190,000 for the analytical positions and 1.5 million for data-literate managers, which is about 50 to 60 percent higher than its regular supply in 2018.
    Universities have found this trend and start to catch up. Within the last few years, many universities have launched new master programs in Data Analytics, though their names are diverse to a large extent. Due to the cutting-edge nature of data analytics, there is no common course structure. This research engages in a survey of curriculums of about 80 Data Analytics master programs that we found from their universities' Web Site. We classify the courses in these curriculums into five categories, namely Data Science, Capstone, Business, Information Technology and Application, and perform an analysis on the various curriculums. Our initial study indicates most curriculum imposes a mixed course structure, involving courses from several categories. Through the detailed analysis, we provide suggested curriculums with different focuses.
    Advisory Committee
  • Wan-Shiou Yang - chair
  • Shih-Chieh Hsu - co-chair
  • San-Yia Hwang - advisor
  • Files
  • etd-0623114-002134.pdf
  • Indicate in-campus at 1 year and off-campus access at 1 year.
    Date of Submission 2014-07-29

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