The on-campus Master of Science in Data Science program focuses on developing knowledge and skills in interdisciplinary and collaborative data science competencies including statistical analysis, data ...

Machine learning and data mining are emerging fields between statistics and computer science which focus on the statistical objectives of prediction, classification and clustering and are particularly ...

The limits of statistical analysis and machine learning apply just as readily to data science work. In many cases, the problems aren’t with the mathematics or the algorithms.

These tools include statistical models, machine learning techniques and data visualization methods. Data mining is not just the act of collecting or processing data.

Analysis techniques are drawn from mathematics and statistics, computer and information science, machine learning, and several other areas. DPAC provides instruction, training sessions and internships ...

What You Need to Know The graduate certificate Big Data Statistics in Astrophysics lets students develop a foundation of statistical analysis, data mining, and machine learning. Understand how to ...

The Mining Lab aims to build statistical models to tackle hard learning problems with limited labels in knowledge-rich domain (e.g., medicine and bioinformatics). Two central research themes: - ...

Develop interdisciplinary skills in data science and gain knowledge of statistical analysis, data mining, and machine learning from one of the nation’s top-ranked Tier 1 research institutions. Earn ...

Machine learning and data mining are emerging fields between statistics and computer science which focus on the statistical objectives of prediction, classification and clustering and are particularly ...