Overview
The M.Sc. in Data Analytics at George Washington University is a specialised programme designed to meet the rising global demand for experts in big data and advanced analytics. Administered jointly by the Departments of Computer Science and Engineering Management and Systems Engineering, the curriculum bridges technical engineering with business intelligence. Students benefit from a collaborative learning environment led by expert faculty from the School of Engineering and Applied Science.
Why Data Analytics at George Washington University?
This programme stands out for its interdisciplinary approach, combining the strengths of the School of Engineering and Applied Science with the School of Business. Taught in small cohorts, the degree ensures personalised attention while focusing on the technical foundations of analytics. As a STEM-designated programme, it provides rigorous training in computing infrastructure and algorithmic techniques, preparing students to solve complex problems in government, research, and industrial sectors.
Tuition Fee Breakdown
- International fee: USD 2195 per credit
- National fee: USD 2195 per credit
- Local fee: USD 2195 per credit
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum requires 30 credits, including core requirements and specialised tracks. Modules may include:
- Data Analysis for Engineers and Scientists
- Big Data and Analytics
- Database Management Systems
- Programming for Analytics
- Data Analytics Capstone
- Design and Analysis of Algorithms
- Machine Learning
- Data-Driven Policy
Careers with Data Analytics
Graduates are equipped to pursue or enhance professional careers as data analysts and data scientists. The programme focuses on practical outcomes, ensuring students can apply analytics techniques to improve decision-making processes across a wide range of organisations. By gaining hands-on experience with modern analytical tools, graduates are prepared for high-level roles in data management, algorithmic design, and technical consultancy within both public and private sectors.
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
- 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 Analytics View 403 other Masters in Data Analytics in United StatesWhat students do after studying
Academic requirements
English requirements
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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.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
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
-
International Applies to you
Applies to youNon-residents131700 USD / year≈ 131700 USD / year - Out-of-State131700 USD / year≈ 131700 USD / year
-
Domestic
Applies to youIn-State131700 USD / year≈ 131700 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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Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Analytics.
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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