Data Science and Analytics
Offered as a major (B.A.) and a minor
Major: Data Science and Analytics | Minor: Data Analytics
Students who have completed the data science and analytics major should be able to:
Demonstrate a well-developed understanding of the mathematics that are foundational to techniques in data science and analytics, such as set theory, symbolic logic, calculus, linear algebra, probability, and combinatorics.
Collect, clean, validate and filter data sources.
Demonstrate proficiency in an appropriate scripting language (e.g. Python), statistical software (e.g. R), and programming language for managing relational databases (e.g. SQL) and unstructured data repositories (e.g. No-SQL).
Fit statistical models (e.g. linear regressions) and assess the efficacy of those models.
Communicate statistical results in written and oral forms to technical and nontechnical audiences.
Understand what can and cannot be inferred from a set of data and the limits of statistical techniques used in order to recognize errors that can be made in carrying out analyses and interpreting results.
Apply data science and analytics in the investigation of real-world problems.
Understand and appropriately respond to the many ethical considerations that arise in the field of data science and analytics.