Overview

Tapping into accurate data is increasingly vital to all disciplines, such as business, math, and politics. The Data Science program at Oberlin College & Conservatory equips you with principled, scientific methods for data collection, management, analysis, and decision-making.

You’ll feel prepared to take on real-world problems with confidence; the program empowers you to build upon computational solutions, computer science, economics, and analytical math to garner knowledge from both large- and small-scale data fields.

Why choose data science at Oberlin?

The university offers the data science major along with three distinct data science concentrations—natural sciences, social sciences, and statistical theory and applications—so students with multiple passions can tailor their studies to the exact pathway they envision. The major and its concentrations prepare students to pursue exciting data-focused careers such as statistician, machine learning engineer, data architect, and more.

The STRONG Program: Science and Technology Research Opportunities for a New Generation

The STRONG program (Science and Technology Research Opportunities for a New Generation) is intended for talented first gen and income eligible students from backgrounds traditionally underrepresented in STEM disciplines.

STRONG Scholars participate in a specialized first-year experience designed to help them adapt to college and thrive in their STEM journey at Oberlin and beyond.

Key components of this first-year experience include a guaranteed winter term research opportunity, close mentoring from STEM faculty and staff, community building with other STRONG Scholars, and academic skill-building pertinent to STEM courses and research.

Programme Structure

Courses include:

Data Science
Statistics and Modeling
Econometrics

Advanced Methods in Diversity Science

Testing hypotheses

Database techniques

Data analysis

Key information

Duration

Full-time
- 48 months

Start dates & application deadlines

Starting 2027-08-25 00:00:00
- Apply before 2027-01-15 00:00:00

Language

English

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Credits

120 SCH

Delivered

On Campus

Campus Location

Oberlin, United States

Disciplines

Data Science & Big Data View 460 other Bachelors in Data Science & Big Data in United States

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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

TOEFL^® IBT

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Other requirements

General requirements

A complete application includes:

A personal essay
One letter of recommendation from a core subject teacher
Secondary school report and high school transcript
Transfer students only: college report, college transcript, and mid-term report

Optional materials include:

SAT or ACT scores
Interview
Art or performance supplemental materials
Research abstract or résumé

One additional recommendation letter

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

68340 USD / year

≈ 68340 USD / year
Out-of-State

68340 USD / year

≈ 68340 USD / year
Domestic

Applies to you

In-State

68340 USD / year

≈ 68340 USD / year

Living costs

Oberlin

United States

1070 - 1765 USD / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

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Scholarships Information

Below you will find Bachelor's scholarship opportunities for Data Science.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

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