The Statistics and Data Science major is an integrated and interconnected set of courses, reflecting the interdisciplinary nature of the field and welcoming students from all backgrounds and experiences. Students will be grounded in foundational ideas from mathematics, such as probability, linear algebra, optimization, and multivariate thinking, alongside foundational ideas from computer science, such as algorithmic thinking, abstraction, project workflow, and reproducibility. Students will be immersed in collaborative team settings common to professional data scientists. In addition, students will acquire depth in their understanding of both statistics and data science, while being constantly challenged to consider ethical issues in their work and to apply statistics and data science principles to domains of expertise.
Intended Learning Outcomes
Students will demonstrate the ability to:
- Acquire and curate data of all types.
- Perform exploratory data analyses through data visualization and numerical summarization.
- Build, assess, and interpret machine-learning and statistical models.
- Communicate findings effectively and responsibly to a variety of audiences.
- Apply analytical thinking to formulate problems, plan data collection/acquisition and engage in the data analysis process to provide insights.
- Identify and critique multiple perspectives regarding data ethics and privacy.
May 2024