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About the Major

There is accelerating demand in academic, government, and business settings for those with the quantitative, statistical, and technological expertise to collect and analyze large data sets. 

A concentration in data science allows students to engage with statistical methods, algorithms, data structures, and machine learning to gain a critical understanding of the data life cycle and analysis.

Courses & Requirements

Students Will Learn To:

  • Gain proficiency in the data life cycle: creation, curation, documentation, analysis, and communication.
  • Apply data science tools to real world problems and produce well documented and reproducible analyses.
  • Understand the social and ethical impact of the tools used in data science.

Meet Our Faculty

Chinthaka Kuruwita

Associate Professor of Statistics, Director of Data Science

ckuruwit@hamilton.edu

nonparametric density estimation and quantile regression models

Mark Bailey

Chair, Robert and Pamela (Craig) Delaney Professor of Computer Science

mbailey@hamilton.edu

the boundary between hardware and software, including program optimization, embedded systems, computer architecture and computer security

Clark Bowman

Assistant Professor of Mathematics and Statistics

cbowman@hamilton.edu

uncertainty quantification, probabilistic modeling and simulation, mathematical biology, and high-performance computing

Heather Kropp

Assistant Professor of Environmental Studies

hkropp@hamilton.edu

environmental data science, ecohydrology, ecology, and geospatial analysis

Explore Hamilton Stories

Adam Koplik ’25

Tracking Climate Change Through AI

Artificial intelligence and climate change are among the very foremost hot-button issues of today. This summer, a project by Adam Koplik ’25 and Assistant Professor of Environmental Studies Heather Kropp is using one to explore the other—by employing machine learning to measure vegetation change in the Arctic.

Shauna Sweet '03

Sweet ’03 Shares Career Path in Data Science

In her talk “Policy, Translation, Estimation, and Inference: When Big Data Isn’t Enough,” Shauna Sweet ’03 returned to campus to discuss her career experience in applied analytics.

Contact

Department Name

Data Science Department

Contact Name

Chinthaka Kuruwita, Program Director

Office Location
198 College Hill Road
Clinton, NY 13323

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