Overview
Data shapes decisions in nearly every field, from business and healthcare to technology, research, marketing, and public service. With a data science degree from Gordon College, you’ll learn how to work with data carefully, communicate findings clearly, and use analytical tools to solve real problems.
As a data science major, you’ll build a foundation in programming, statistics, research methods, and data analysis. Coursework includes tools and languages such as Python and R, helping you prepare for data-driven work across industries or for graduate study.
Gordon College offers flexible options for students who want to study data science as a primary field or pair it with another academic interest:
- B.A. in data science
- B.S. in data science
- Minor in data science
Why earn a data science degree at Gordon College?
At Gordon College, you’ll study data science in a Christian academic community that values technical skill, clear thinking, and responsible use of technology. Faculty help students build the analytical and problem-solving abilities needed to work with data in thoughtful and practical ways.
Gordon’s location on Boston’s North Shore places students near Greater Boston and Cambridge, major centers for technology, healthcare, research, finance, and innovation. This gives data science students access to a region where data skills are used across many fields.
As technology continues to change, organizations need people who can understand data, ask better questions, and help teams make informed decisions. Gordon prepares students to contribute with both technical ability and ethical awareness.
How can Christian values shape data science?
Data science raises important questions about privacy, fairness, accuracy, and the way information is used. At Gordon College, students are encouraged to approach these questions with integrity, humility, and concern for the people affected by data-driven decisions.
Christian data scientists can bring a commitment to truth, service, and human dignity into their work. Whether analyzing trends, building models, or communicating insights, students learn to consider how data can be used responsibly to serve communities, support good decisions, and protect vulnerable people.
| Degree | Bachelor of Arts, Bachelor of Science, Minor |
|---|---|
| Program Level | Undergraduate |
| School | School of Science, Technology and Health |
| Program Format | In-Person |
Learn more
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Courses
Data Science Courses
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Degree Options
Experiential Learning
Start building your professional experience with:
- Hands-on internships at places like IBM and Veracross
- Data research and strategy lab
- The Data Science Club
- The Computer Science Club
Apply to Gordon
Take the first step toward a nationally ranked Christian liberal arts education.
Scholarships
We’re committed to working with you to make college accessible. Gordon offers a wealth of generous scholarships to lower your cost of attendance.
Faculty
Faculty
Nationally recognized, personally focused
Gordon College data science students learn from faculty with expertise in data science, mathematics, computer science, and related fields. Professors help students strengthen technical skills while learning to think carefully about how data is collected, analyzed, and used.
Through coursework, advising, research, and project-based learning, faculty support students as they prepare for data science careers, graduate study, or work in fields where data skills are increasingly important.
Careers
Life after Gordon
What can you do with a data science degree?
A data science degree from Gordon College can prepare students for graduate study and data-focused work across many industries. Students learn to organize information, analyze patterns, communicate findings, and support better decision-making.
The data science minor can also pair well with majors in fields such as biology, business, economics, computer science, marketing, and public health.
Graduates may pursue paths in areas such as:
- Data science
- Data analysis
- Data management
- Business analysis
- Bioinformatics
- Research analysis
- Marketing analytics
- Technology and software-related fields
