Overview
The Dual Degree in Statistics and Data Science at George Washington University provides students with a unique opportunity to gain expertise in both statistics and data science. This innovative programme is tailored for those looking to excel in data-driven fields, combining rigorous academic training with practical skills that are highly sought after in today’s job market.
Why Dual Degree in Statistics and Data Science at George Washington University?George Washington University is renowned for its commitment to academic excellence and is consistently ranked among the top universities in the United States. The university's strong partnerships with various industries provide students with valuable networking opportunities and access to cutting-edge facilities. The collaborative environment fosters interdisciplinary learning, enhancing the educational experience.
Tuition Fee BreakdownThe tuition fees for the Dual Degree in Statistics and Data Science 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.
SyllabusThe curriculum for the Dual Degree programme is structured to provide a robust foundation in both fields. Students will complete:
- Four Data Science courses
- Four Statistics courses
- Six additional upper-level Statistics elective courses
This structure allows students to double-count six credits towards both degrees, facilitating an accelerated learning experience.
Careers with Dual Degree in Statistics and Data ScienceGraduates of the Dual Degree in Statistics and Data Science are well-prepared for a variety of career paths. Alumni have found success in diverse sectors, including technology, finance, healthcare, and academia. Job roles commonly pursued by graduates include data analyst, statistician, data scientist, and research consultant, reflecting the programme's comprehensive approach to education and its relevance to industry demands.
Programme Structure
Courses include:
- Mathematical Statistics
- Thesis Research
- Data Science
- Data Warehousing
- Data Mining
Key information
Duration
- Full-time
- 24 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
Statistics 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
Prepare for Your English Test
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
-
International Applies to you
Applies to youNon-residents37638 USD / year≈ 37638 USD / year - Out-of-State37638 USD / year≈ 37638 USD / year
-
Domestic
Applies to youIn-State37638 USD / year≈ 37638 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 Dual Degree in Statistics and 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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