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Data Science and Analytics


It advances data science and analytics by unifying statistics, machine learning, optimization, and their related techniques. It also expands the applications of data science and analytics to solve real world problems and to benefit society.

Data Science and Analytics

Cross-Disciplinary Focus Areas

  • Data-driven AI & Machine Learning
  • Statistical Learning and Modeling
  • Data visualization and Infographics
  • Industrial and Business Analytics (Operations-Related Data Analytics, Business Intelligence, and Strategy, etc.)
  • AI-driven Data Analytics
  • Sector-Specific Data Analytics (Healthcare, Finance, Insurance, Marketing, Manufacturing, Transportation, etc.)
  • High-Performance Systems for Data Analytics
Data Science and Analytics

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