Program Overview
Data Science Major
The Data Science Major is a comprehensive program that awards a Bachelor of Science (BS) degree. The program requires a minimum of 50 credit hours to complete, consisting of 15 courses.
Requirements
To complete the Data Science B.S. degree, students must fulfill the following requirements:
- A minimum of seven quantitative courses
- A minimum of six additional courses in a student's substantive area of interest
- Completion of a minimum of 50 credit hours
Some substantive fields, such as Biology and Informatics, may require more than 50 credit hours due to additional curriculum requirements.
QTM Courses
The following QTM courses are required:
- QTM 110: Introduction to Scientific Methods
- MATH 210: Advanced Calculus for Data Sciences
- QTM 150: Intro to Statistical Computing I
- QTM 151: Intro to Statistical Computing II
- QTM 210: Probability & Statistics
- QTM 220: Regression Analysis
- 3 Advanced QTM (300-level or above) electives
Substantive Field Requirements
Students must complete six to nine track-specific courses in their chosen substantive field. The following fields are available:
- Anthropology
- Architectural History
- Art History
- Biology
- Biological Anthropology
- Data Sciences
- East Asian Studies
- Economics
- English
- Environmental Sciences
- History
- Informatics
- International Studies
- Latin American and Caribbean Studies
- Linguistics
- Neuroscience and Behavioral Biology
- Political Science
- Psychology
- Sociology
- Women's, Gender and Sexuality Studies
Additional Degree Requirements
When necessary, a combination of Data Science and substantive area courses may be taken to reach the 50 credit hour requirement.
Prerequisites
The following prerequisites are required:
- Calculus I (MATH 111 or MATH 115 or equivalent test credit)
- MATH 221: Linear Algebra