Data can help us to make better decisions.  

Data are abundant but must be interpreted with care. What sets data analysis apart as responsible and insightful? You. Learn to build statistical models and develop the programming skills necessary to draw insightful conclusions from complex data. Then communicate your findings responsibly. Flexible by design, the minor in statistics and data science can be paired with a wide range of majors and you can take courses that connect statistical techniques to fields that interest you.

From programming to machine learning.

Discover required courses and statistics electives.

Data-minded faculty from a variety of disciplines.

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Open-ended by design

Created to be a powerful pairing with a major of your choice, the statistics and data science minor adds a new dimension to your interests.

Lawrence University Computer Science

Branching Paths

Where will your statistics and data science journey take you? Students and faculty work closely together across different branches of the field providing opportunities to combine your statistics and data science studies with work in computer science or mathematics. 

Explore Computer Science
Explore Mathematics

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Statistics & Data Science Outcomes

Data is more accessible in our digital world than ever, making data interpretation a valuable skill in a variety of fields.

On Any Given Day... an array of opportunities that await you at Lawrence University.


Abhishek Chakraborty | Open Office

Lawrence students visit the office of Abhishek Chakraborty, Assistant Professor of Statistics, and connect on interests in and out of the classroom.

Computer screen showing code.

If you see a gap that needs to be filled, do the research to make your job easier! My T. Le built her own Python algorithm and developed new techniques in R to explore large datasets.

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