BS Data Theory

The Data Theory major has the following learning outcomes: Understanding of mathematical and statistical bases of most common methods of data science. Ability to explain in writing, with examples, how concepts of statistics and mathematics together solve real-world problems involving data. Skillfully manage data Development, comparison, and testing of data-driven models to solve problems Understanding and explanation of variability when fitting and interpreting models of real-world systems. Carrying out of reproducible data analysis using accepted practices of research community. Written and verbal communication of findings of analyses Identification of areas of active research in data science. Insightfully address problems concerning ethics of data use and storage, including data privacy and security. Demonstrated mastery of concepts and skills of machine learning, modeling and supervised learning, dimension reduction and unsupervised learning, and deep learning.