Data ScienceMajor

A minimum of seven quantitative courses and a minimum of six additional courses in a student's substantive area of interest. Students must complete a minimum of 50 credit hours to complete the Data Science B.S. degree. A number of substantive fields, like Biology and Informatics, require more than 50 credit hours because of additional curriculum requirements.

QTM Courses

• 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

Completion of six to nine track-specific courses. Contact the department for current list of approved courses in each substantive field.

• 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

There are no official restrictions about what substantive field a student can concentrate in while pursuing the DATASCI degree. If a student is interested in a substantive field beyond this list, please contact us to discuss their major course policies.

Note: A student may count no more than two classes fulfilling their substantive course requirements towards a double major.

Additional Degree Requirements: When necessary, a combination of DATASCI and substantive area courses of the student’s choosing may be taken to reach 50 the credit hour requirement.