Overview
Why Data Science at George Washington University?The Data Science programme at George Washington University (GWU) is renowned for its strong emphasis on practical skills and industry connections. Located in Washington, D.C., GWU benefits from its proximity to a vibrant data community, with numerous opportunities in government, technology, and private sectors. The programme is designed to prepare students for competitive careers, utilising state-of-the-art facilities and a curriculum that aligns with current industry needs. GWU's partnerships with leading companies and agencies ensure that students have access to valuable internships and job placements, enhancing their employability upon graduation.
Tuition Fee Breakdown
The tuition fees for the Data Science programme are as follows:
- International Fee: USD 2,020 per credit
- National Fee: USD 2,020 per credit
- Local Fee: USD 2,020 per credit
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The Data Science programme encompasses a comprehensive curriculum designed to equip students with essential skills. Key modules include:
- Data Analysis and Visualisation
- Machine Learning
- Statistical Methods
- Big Data Technologies
- Data Ethics and Privacy
- Data Mining Techniques
- Predictive Analytics
- GIS and Spatial Analysis
This structured approach ensures that graduates are well-versed in both theoretical concepts and practical applications, preparing them for various roles in the data science field.
Careers with Data Science
Graduates of the Data Science programme at George Washington University are well-positioned for successful careers in diverse industries. Alumni have secured roles at prestigious organisations such as Amazon, Booz Allen Hamilton, Capital One, the D.C. Government, the National Institutes of Health, Oracle, and the U.S. Department of Defense. The skills acquired through this programme enable graduates to excel in positions such as data analysts, data scientists, and machine learning engineers, among others. The extensive network and resources available through GWU further enhance career prospects for its students.
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
- Apply before
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- Starting
- Apply before
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Language
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Credits
Delivered
Campus Location
- Washington, D. C., United States
Disciplines
Data Science & Big Data View 470 other Masters in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
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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
-
International Applies to you
Applies to youNon-residents62730 USD / year≈ 62730 USD / year - Out-of-State62730 USD / year≈ 62730 USD / year
-
Domestic
Applies to youIn-State62730 USD / year≈ 62730 USD / year
Living costs
Washington, D. C.
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
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- Free visa & career support through our Path2Success program
Funding
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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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