Office: Donnelly Science Center, Room 127a
Director: Christopher H. Morrell, Professor of Statistics
Data Science is a new field that sits at the nexus of computer science, statistics, and business. A data scientist identifies opportunities for organizations by unearthing solutions to business challenges. Organizations need to make the most of their data. Because of this need, data scientists are in great demand. The interdisciplinary major blends computer science and statistics courses with business courses to render students adaptable to any domain with rigorous statistical and computational skills.
- Utilize descriptive and inferential methods to solve data intensive applied problems
- Write computer programs in languages used for data science (e.g. Python, R) to collect, clean, and analyze data.
- Formulate data science questions and apply a variety of data analysis techniques for data discovery, description, prediction, and prescription.
- Communicate data science results in oral, written, and visual forms to technical and non-technical audiences.
- Advocate for ethical decisions in the use of data.