Program Overview

Program Overview

The Data Science & Statistics Track (BA) is a comprehensive program that focuses on transforming raw data into reliable insights and decisions in the presence of uncertainty. This field combines statistical modeling, computing, and domain knowledge, with applications across various disciplines, including natural and social sciences, business, engineering, and humanities.

Program Description

The BA track in Data Science & Statistics is designed to provide a strong mathematical and statistical foundation, along with modern data-science tools, while allowing room for a second major or minor. The program combines core coursework in calculus, linear algebra, probability, mathematical statistics, regression, and statistical learning, with a computing-intensive course and practical experience in data analysis.

Curriculum Requirements

• Core coursework includes:
  • Calculus
  • Linear algebra
  • Probability
  • Mathematical statistics
  • Regression
  • Statistical learning
• Computing-intensive course
• Practical experience in data analysis, such as:
  • Internship
  • Research project
  • Consulting course

Program Structure

The program works well in combination with majors such as computer science, biology, psychology, economics, finance, accounting, management, or other social and natural sciences. To obtain a BA degree in mathematical sciences with the Data Science & Statistics track, students must complete the required core and elective courses described in the University Bulletin and on the departmental planning sheets. The approximate number of credits required is 5256.