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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 and 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

Alistair Campbell

Associate Professor of Computer Science

acampbel@hamilton.edu

formal ontologies, knowledge representation and reasoning, programming language design

Heather Kropp

Assistant Professor of Environmental Studies

hkropp@hamilton.edu

environmental data science, ecohydrology, ecology, and geospatial analysis

Explore Hamilton Stories

Heather Kropp, professor of environmental studies using data science, teaches in her interactive computer lab class in Kirner-Johnson at Hamilton College on Thursday, February 4, 2021 in Clinton, NY.    (PHOTO BY NANCY L. FORD)

Digital Hamilton: Learning Data Science Across Disciplines

A math major with an environmental studies minor, Rachel Pike ’21 saw data science as a natural combination of her interests, and a new course gave her a chance to confirm that. She enrolled in ENVST 206 Environmental Data Science.

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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