Turn data into insight, solutions and informed decisions
Data Science at Linfield examines how information is collected, organized and interpreted to address real‑world challenges. The program integrates statistical reasoning, computational methods and ethical frameworks to illuminate patterns, evaluate evidence and guide decision‑making. This interdisciplinary approach highlights the power of data to shape understanding across science, business, health, government and community contexts.
Curious whether this program is the right fit?
Share a little about yourself through our information request form to connect with an admission counselor and get answers about the data science program.
What You Can Expect
Core training in statistics and quantitative reasoning
Build a strong foundation in probability, statistical modeling and data analysis. You learn how to evaluate data quality, choose appropriate methods and interpret results with clarity.
Computational and programming skills
Develop proficiency in programming, data structures, algorithms and data‑focused tools. You work with real datasets and learn how to clean, transform, visualize and model information using modern software.
Applied projects and interdisciplinary learning
Engage in hands‑on projects that connect data science to fields such as biology, business, environmental science, public health and social science. You learn how data informs decisions in diverse professional contexts.
Why Study Data Science at Linfield?
Data Science at Linfield emphasizes learning that is both technically rigorous and broadly applicable. Small classes create space for close mentorship, allowing students to explore specialized interests such as machine learning, statistical modeling, data ethics or computational analysis. Faculty encourage curiosity, experimentation and thoughtful engagement with complex datasets. The program’s interdisciplinary structure supports collaboration with departments across campus, helping students understand how data shapes conversations in science, business, public health, environmental studies and the social sciences. This approach cultivates adaptable problem‑solving, clear communication and analytical depth.
Accolades & Rankings
#1 College in Oregon
- TIME Magazine
#1 Liberal Arts College in Oregon for Social Mobility
- U.S. News and World Report
#1 Best Value College in Oregon
- Niche
Data Science Career Outlook
A data science degree can open doors for your career
Through 2035, data science-related occupations are expected to grow by 35%, much faster than average*. In 2025, the median annual wage for data scientists was $120,230, exceeding the national average of $50,980. While your income heavily depends on where you live, your level of education and the depth of your experience, enriching your expertise can help support your career growth and financial stability.
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Graduates pursue roles such as:
- Data analyst or data scientist
- Business intelligence specialist
- Statistical or research analyst
- Machine learning technician
- Healthcare or public health data specialist
- Environmental or geospatial data analyst
- Software or data engineering support roles
What financial assistance is available?
Financing your college education can feel like a lot to manage, but 喵咪社区 is here to help make the process clearer and more manageable. Linfield’s Financial Aid Office offers personalized guidance from experienced counselors who can help you understand your options, plan ahead, navigate the and answer any questions along the way.
You can also plan ahead by estimating your cost of attendance using Linfield’s Cost Calculator.
Scholarships
喵咪社区 offers a variety of scholarship opportunities to help reduce the cost of college. When you apply for admission, you’ll automatically be considered for many Linfield scholarships. Additional scholarships are available based on academic interests, achievements, life experiences and personal background.
Learn more about available scholarships on Linfield’s Scholarships page.
Request more information
Have questions about studying data science at Linfield? Reach out! We'd love to connect with you.
Chuck Lundon
Professor and Chair, Department of Mathematics and Computer Science
Taylor Hall
503-883-2273
chuckl@linfield.edu
Professor and Chair, Department of Mathematics and Computer Science
Taylor Hall
503-883-2273
chuckl@linfield.edu