Why study Data Science at Furman

Turn Data Into Insight That Matters.

Data science turns data into answers across business, medicine, economics, the environment, psychology and anywhere people generate it. Furman teaches you the methods and the harder questions behind them like where the data came from, who it leaves out and who the answers serve.

  • Apply it in a field you choose. The major requires an elective from outside math and computer science, so you carry your data skills into a discipline like biology, economics, the environment, business or psychology.
  • Ethics in the core. Every major takes Digital Dilemmas, on fairness, privacy and the social weight of data.
  • A path you shape. The compact 12-course structure leaves room to double major, and it’s designed to pair with fields like natural science, business, economics or psychology.

Take your first steps by contacting admissions or reading more about how to apply.

Learn by doing

Data runs the modern world. At Furman, you learn to turn it into insight, and to ask who that insight serves.

Data science examples and the full data workflow start in your very first programming course. Then you go further with:

  • A funded summer of research with faculty on highly interdisciplinary projects using large, complex datasets. For example, you can apply machine learning and AI techniques to analyze massive bioacoustics datasets of animal vocalizations, bridging data science with ecological and biological research. Other summer research projects include applying computational models to accelerate drug discovery, performing EEG analysis to decode neural signals, or mining pop culture datasets to trace and analyze media trends.
  • Data-focused internships: BMW, Michelin, Baron Capital, Capgemini, ScanSource, Red Ventures 
  • A capstone built on real data.
  • Purposeful Pathways career prep including career treks, employer site visits and a showcase where students present their research and internships.

These are the kind of hands-on experiences that are harder to come by at a larger university.

Plan a visit to Furman’s beautiful campus or start your application today.

How will you learn?

The major is 12 courses across five tiers, where the core builds your methods and the electives put them to work in a field of your choosing. Across the major you learn the whole data pipeline, from collecting and cleaning data to modeling and deploying it, working with databases, the cloud and streaming data.

  • Machine Learning with Big Data. Mine massive datasets of text and images and build models that run in the cloud.
  • Introduction to Data Mining. Master foundational data mining and computational techniques (CSC-272) to discover patterns, wrangle datasets, and draw insights from real-world information.
  • Databases. Learn database management systems (CSC-341) to design, query, and manage large-scale data infrastructure that powers modern applications.
  • Digital Dilemmas. The ethics core: who data serves, and who it can harm.
  • Your applied elective. Take data into another field, from geographic mapping and remote sensing to empirical economics, data analysis in psychology and analytical chemistry.

Through your electives and capstone, you can go deep in areas like machine learning, databases, large-scale data systems or domain-focused analytics.

Data Science courses

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Data Science Major FAQ

Your faculty and mentors

Your professors research machine learning, data mining and visualization, and every summer a funded program puts you on their projects.

Andrea Tartaro

Andrea Tartaro

Daniel Distinguished Professor of Computer Science
Headshot of Chris Alvin

Chris Alvin

Associate Professor of Computer Science, Director of Undergraduate Research
Headshot of Rebecca Drucker

Rebecca Drucker

Assistant Professor, Computer Science
Syed Fahad Sultan

Syed Fahad Sultan

Assistant Professor, Computer Science
Headshot of Saugat Pandey

Saugat Pandey

Assistant Professor, Computer Science
Headshot of Haorui Sun

Haorui Sun

Assistant Professor, Computer Science
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