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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
  • Industrial and Business Analytics
  • Sector-Specific Data Analytics
  • Data Visualization and Infographics
  • High-Performance Systems for Data Analytics
  • Security and Privacy
Data Science and Analytics

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