||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.