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


nonparametric density estimation and quantile regression models

Mark Bailey

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


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

Clark Bowman

Assistant Professor of Mathematics and Statistics


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

Heather Kropp

Assistant Professor of Environmental Studies


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.


Senior Theses Dig Deep, Demonstrate Knowledge Gained

Sean Kondracki ’24 analyzed election data from 2012, 2016, and 2020 to determine and model patterns in non-voter activity for his data science senior project.


Department Name

Data Science Department

Contact Name

Chinthaka Kuruwita, Program Director

Office Location
198 College Hill Road
Clinton, NY 13323

Help us provide an accessible education, offer innovative resources and programs, and foster intellectual exploration.

Site Search