Overview

The Data Science programme at George Washington University offers a rigorous multidisciplinary curriculum designed to prepare students for the complexities of the modern digital economy. By combining statistical theory with practical computational methods, the course ensures graduates can manage and interpret vast datasets effectively.

This master level qualification focuses on the intersection of computer science, mathematics, and domain-specific knowledge. Students engage with sophisticated analytical tools to solve real-world problems, ensuring they remain at the forefront of technological innovation and data management practices within various global sectors.

The curriculum is structured to provide a deep understanding of how data can be leveraged for strategic decision-making.

Why Data Science at George Washington University?

Studying at this institution provides access to a vibrant academic community located in a major global hub for policy and technology. The university maintains strong connections with industry leaders and government organisations, offering students unique insights into the practical application of data analytics in diverse professional environments.

The faculty consists of experienced practitioners and researchers who bring contemporary industry challenges into the classroom. This approach ensures that the learning experience is both academically robust and highly relevant to the current demands of the international job market.

Tuition Fee Breakdown

International fee: USD 2091 per credit
National fee: USD 2091 per credit
Local fee: USD 2091 per credit

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

Syllabus

The curriculum is designed to cover the essential pillars of the discipline, ranging from algorithmic foundations to advanced statistical modelling. Modules may include:

Data Science
Machine Learning
Data Visualisation
Statistical Computing
Data Warehousing
Algorithms
Big Data Analytics
Data Mining

Careers with Data Science

Graduates of this programme are well-equipped to pursue high-impact roles across a variety of sectors, including finance, healthcare, technology, and public policy. The analytical skills developed during the course are in high demand for positions that require sophisticated data interpretation and strategic planning.

Common career paths for alumni include roles such as data scientist, machine learning engineer, data architect, and business intelligence analyst. The university's reputation and location provide a strong platform for graduates to enter the workforce and contribute to data-driven innovation on a global scale.

Programme Structure

Courses include:

Data Science
Data Warehousing and Analytics
Data Mining
Machine Learning
Visualization of Complex Data
High Performance Computing and Parallel Computing

Key information

Duration

Full-time
- 12 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 2027-04-01 00:00:00

Language

English

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IELTS

6.5

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Credits

30 SCH

Delivered

On Campus

Campus Location

Washington, D. C., United States

Disciplines

Data Science & Big Data View 471 other Masters 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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PTE Academic

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IELTS

6.5

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

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98 accuracy using real exam data
4.9/5 student rating

Other requirements

General requirements

Two (2) academic letters of recommendation
Transcripts are required from all colleges and universities attended, whether or not credit was earned, the program was completed, or the credit appears as transfer credit on another transcript. Unofficial transcripts from all colleges and universities attended must be uploaded to your online application. Official transcripts are required only of applicants who are offered admission
Statement of purpose

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

62730 USD / year

≈ 62730 USD / year
Out-of-State

62730 USD / year

≈ 62730 USD / year
Domestic

Applies to you

In-State

62730 USD / year

≈ 62730 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.

Financing

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Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

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Scholarships Information

Below you will find Master'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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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.

Financing

Funding

Need help with your student visa?

Scholarships Information

Available Scholarships

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