Overview

Key facts

Through courses led by the faculties of the School of Engineering and Applied Science and the School of Business, this Data Analytics program at George Washington University is conducted in small cohorts and covers topics in computer science, business analytics, and systems engineering, while focusing on the foundations of analytics from a technical engineering perspective.

As part of their program requirements, students choose either the computer science or the engineering management and systems engineering track.

Students in the program should expect the following program outcomes:

Apply data science and analytics techniques in the decision-making process of a wide range of organizations.
Demonstrate the ability to store, clean and transform data.
Demonstrate improvements in the decision-making process by using and applying analytics techniques to interpret results
Design and implement computing infrastructure and algorithmic techniques for big data analytics.
Explore the engineering foundations that propel the fields of data science and analytics.
Gain hands-on experience with analytical tools for big data.
Pursue or enhance careers as data analysts or data scientists.

Programme Structure

Courses include:

Data Analysis for Engineers and Scientists
Probability for Computer Science
Big Data and Analytics
Data Management Systems for Data Analytics
Database Management Systems
Programming for Analytics

Key information

Duration

Full-time
- 12 months

Start dates & application deadlines

Starting 2027-01-13 00:00:00
- Apply before 2026-09-01 00:00:00
Starting 2027-08-21 00:00:00
- Apply before 2027-01-15 00:00:00

Language

English

TOEFL^® IBT

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PTE Academic

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IELTS

6.5

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Credits

60 SCH

Delivered

On Campus

Campus Location

Washington, D. C., United States

Disciplines

Data Analytics View 401 other Masters in Data Analytics in United States

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Academic requirements

GPA

English requirements

TOEFL^® IBT

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PTE Academic

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IELTS

6.5

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Other requirements

General requirements

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

Statement of purpose

Official Transcripts
Bachelor's degree with a GPA of at least 3.0 on a 4.0 scale for the last 60 hours of coursework

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

131700 USD / year

≈ 131700 USD / year
Out-of-State

131700 USD / year

≈ 131700 USD / year
Domestic

Applies to you

In-State

131700 USD / year

≈ 131700 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 Analytics.

Available Scholarships

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On this page

About

Overview

Key facts

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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