Data science (DS) is an interdisciplinary field focused on extracting knowledge from large data sets and applying that knowledge to solve problems.
DurationData science (DS) is an interdisciplinary field focused on extracting knowledge from large data sets and applying that knowledge to solve problems. Artificial intelligence (AI) is the study of systems that perceive their environment and take actions that maximize their chance of achieving their goals.
The two fields are interwoven, with DS systems using AI techniques for knowledge extraction and representation, and AI systems improving by examination of existing performance data. The proposed new major in Data Science and Artificial Intelligence gives students critical skills in both DS and AI, and teaches them about the interplay between the two fields.
This knowledge is based on a foundational underpinning of computer science and mathematics, provides a range of electives to develop skills in subareas, and exposes the application of DS and AI in various domains.
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Unlock the keys to data-driven decision-making and learn to fulfill the potential of data by earning a certificate in applied data science through the IU School of Informatics and Computing at IUPUI.
The Bachelor of Science in Data Science degree is designed to provide undergraduate students with the theoretical and practical knowledge and skills needed to become a data scientist.
The B.S. program in Data Science will provide students with a strong foundation in the mathematics and basic sciences, fundamental computer programming and algorithmic skills, strong foundations in data science fundamentals and methodologies
As technology advances and the internet houses more information than ever before, being able to analyze and organize this data has become an important and necessary skill, one that is filled by data scientists and computational mathematicians.Â
The Data Science B.S., provides students with in-depth technical knowledge, opportunity to apply that knowledge in a field of their choice, and knowledge of the social and human contexts and ethical ramifications of how data is collected, analyzed, and used.
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