Overview

The Data Science programme at George Washington University provides students with a robust foundation in modern analytical techniques and computational methods. This STEM-designated major is designed to prepare graduates for the complexities of a data-driven world through a blend of theory and practical application.

Students benefit from a curriculum that integrates the liberal arts tradition of the Columbian College of Arts and Sciences with advanced technical instruction. The teaching approach emphasises critical thinking, quantitative reasoning, and ethical considerations, ensuring that graduates are not only technically proficient but also responsible digital citizens.

Why Data Science at George Washington University?

The institution offers a distinctive learning environment where students can tailor their education through specific domain concentrations. This flexibility allows for the application of data analytics to diverse fields such as astronomy, biotechnology, economics, or data journalism, providing a unique competitive edge.

Facilities and resources at the university support intensive research and collaborative projects, particularly through the G-PAC general education curriculum. This framework enhances analytical skills and communication competencies, fostering an intellectual community that addresses global challenges through data-led insights and cross-disciplinary partnerships.

Tuition Fee Breakdown

International fee: USD 69780 per year
National fee: USD 69780 per year
Local fee: USD 69780 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum is structured to build expertise from fundamental programming to advanced data management. Modules may include:

Programming with Python
Single-Variable Calculus
Linear Algebra
Business and Economic Statistics
Statistics in Social Science
Statistics for the Biological Sciences
Data Science for All
Ethical Life in a Digital World
Data Visualization
Data Mining
Data Warehousing

Domain concentrations allow for further specialisation in areas such as Geospatial Data Science, Mathematical Modeling, or Physics. Students engage with subject-specific modules to apply their analytical tools to real-world scientific and social contexts.

Careers with Data Science

Graduates are prepared for a wide range of professional roles in industries increasingly reliant on big data. Potential career paths include positions in data analysis, research, and technology consultancy across both private and public sectors.

The STEM designation of the programme is particularly valuable for international students and those seeking roles in high-growth technical fields. Alumni find opportunities in diverse areas including biotechnology, economic forecasting, investigative journalism, and space astrophysics, depending on their chosen domain concentration.

Programme Structure

Courses include:

Programming with Python

Single-Variable Calculus

Linear Algebra

Business and Economic Statistics

Statistics in Social Science

Key information

Duration

Full-time
- 48 months

Start dates & application deadlines

Starting 2027-01-13 00:00:00
- Apply before 2026-10-01 00:00:00
Starting 2027-08-21 00:00:00
- Apply before 2027-01-05 00:00:00

Language

English

Duolingo English Test

120

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TOEFL^® IBT

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PTE Academic

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IELTS

6.5

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Credits

120 SCH

Delivered

On Campus

Campus Location

Washington, D. C., United States

Disciplines

Data Science & Big Data View 470 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

Duolingo English Test

120

Take A Free Practice Test!

TOEFL^® IBT

Schedule TOEFL®

PTE Academic

Schedule a PTE test!

IELTS

6.5

Prepare for Your English Test

Cathoven AI IELTS Preparation

Learn your IELTS Score

AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.

Trusted by 300k learners
98 accuracy using real exam data
4.9/5 student rating

Other requirements

General requirements

Submit an Application
Submit a Writing Supplement (Optional)
Send Official Transcripts
Send Optional Test Scores
Demonstrate English Language Proficiency
Submit a School Report
Submit a Letter of Recommendation
Complete a Financial Certificate
Submit a Portfolio (Corcoran Only)
Send Optional Documents
Check Your Application Status

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

69780 USD / year

≈ 69780 USD / year
Out-of-State

69780 USD / year

≈ 69780 USD / year
Domestic

Applies to you

In-State

69780 USD / year

≈ 69780 USD / year

Living costs

Washington, D. C.

United States

1705 - 2975 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.

About

Overview

Programme Structure

Key information

Duration

Start dates & application deadlines

Language

Prepare for Your English Test

Credits

Delivered

Campus Location

Disciplines

What students do after studying

Academic requirements

English requirements

Prepare for Your English Test

Other requirements

General requirements

Tuition Fees

International Applies to you

Domestic

Living costs

Washington, D. C.

Funding

Need help with your student visa?

Scholarships Information

Available Scholarships

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