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.)