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Welcome to UCSB Data Science

Data Science describes a broad range of theories, algorithms, and tools that lead to a better understanding and predictive modeling of the world around us. It is an interdisciplinary field of scientific methods, processes, and systems to extract knowledge or insights from data, structured or unstructured. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, and computer science; equally important are the application areas that provide the context and domain-specific principles with which data science can have an impact and reach its potential.

Among the topics included under the broad umbrella of Data Science are:

  • Theories and algorithms from statistics and machine learning for making predictions from data that are heterogeneous, multimodal, and multiscalar
  • Data management techniques for efficiently organizing and accessing large and complex data sets
  • Data-driven exploration and modeling across the sciences, humanities, social sciences, medicine, engineering, economics, and education, that utilize theories and methods from data science to make domain-specific advances, as well as opening up broad new research questions and challenges
  • The human aspect of data, including human-computer-interaction, visualization, privacy, and social policy.

 

About UCSB
Data Science

Recent News

  • photo from https://www.summer.ucsb.edu/photo
Students can now enroll in two Data Science Courses during UCSB's Summer Session B, which runs from August 2 through September 10. 
 

Events

  • Data Carpentry

Spring 2021, UCSB Carpentry is offering two R-based workshops, including an introductory R workshop for beginners and a specialized workshop for geospatial techniques in R.

  1. May 12, 2021 - 9:00am to 12:00pm
  2. May 13, 2021 - 9:00am to 12:00pm
  3. May 14, 2021 - 9:00am to 12:00pm