Data Science Program
Director: Professor Michael Larsen
Data Science is an emerging field that has developed out of the tremendous growth in Statistics and Computer Science over the past few decades. Many fields increasingly utilize statistical methods and large, complex data sets in routine practice. This requires a synthesis of Computer Science and Statistics, as well as domain knowledge and the ability to clearly communicate the results.
Students begin with introductory classes in these areas to build their knowledge of the mathematical foundations of data science and their computational and statistical thinking skills. Students then move into more advanced courses like Computational Tools for Data Science, Applied Regression Analysis, and Data Structures in which they learn to create complex computer-based data models. Data Science majors complete their degrees by applying what they have learned in their Data Science Senior Seminar.
Data Science Learning Outcomes:
Students will become proficient in the statistical analysis of data and the use of computation tools for data analysis.
Students will apply statistical and computational tools to applied problems, and clearly communicate the results in both written reports and oral presentations.
Students will understand the importance of proper data management, documentation of work to allow reproducibility of results, and how to assess the ethical considerations of a data science project.