Overview
Available in-person, online, and hybrid, the program not only equips you with an in-demand skill set but also opens doors to specialized and lucrative roles across industries.
Dive deep into analytics with real-world AI applications. Master programming languages such as R, Python, SQL, and Tableau, and culminate your learning in a capstone project that tackles actual analytics challenges in collaboration with local organizations.
The Analytics degree at American University Washington DC consists of 33 credit hours. The courses in core competencies and analytics foundations provide a well-rounded understanding of the field. You'll learn evidence-based data gathering, data modeling, and quantitative analysis, as well as how to implement these tools to provide businesses with competitive advantages. Students gain skills to work in business intelligence, financial analysis, marketing, and consulting.
Careers
The graduates have found professional success in a wide range of industries, that span the public, private, and non-profit sectors. Six months after graduation, 93 percent of our students report they are either fully employed, in graduate school, or both.
Graduates of the program can work as:
- Intelligence analysts
- Financial analysts
- Marketing analysts
- Business analytics consultants
- Entrepreneurs
- Supply chain managers
- Booz Allen Hamilton
- Cisco
- Deloitte
- Department of Defense
- The Rare Genomics Institute
- National Academies of Sciences, Engineering, and Medicine
- EJF Capital
- Gartner
- Geico
Programme Structure
Courses include:
- Managerial Statistics
- Management Information Systems
- Database and Big Data
- Business Insights through Analytics
- Predictive Analysis
- Business Intelligence
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before , International
- Apply before , National
-
Language
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- 98 accuracy using real exam data
- 4.9/5 student rating
Credits
Delivered
Campus Location
- Washington, D. C., United States
Disciplines
Data Analytics View 400 other Masters in Data Analytics in United StatesWhat students do after studying
Academic requirements
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
- In addition to meeting the minimum university requirements for graduate study, applicants must have earned an undergraduate bachelor's degree from an accredited institution with a satisfactory grade point average.
- Current Résumé
- A statement of purpose of approximately 750 words in length is required for the MS in analytics program.
- Letter of Recommendation
- Transcripts
- A non-refundable fee of $100 USD is required.
Tuition Fees
-
International Applies to you
Applies to youNon-residents68640 USD / year≈ 68640 USD / year - Out-of-State68640 USD / year≈ 68640 USD / year
-
Domestic
Applies to youIn-State68640 USD / year≈ 68640 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
Interested in financing your studies? Find a student loan that works for you.
Get the funding you need to study in the U.S. or Canada - with a process that's fast, simple, and built for international students.
- Flexible loans from US$2,001 to US$100,000
- Fixed interest rates -- no inflation surprises
- No upfront fees or prepayment penalties
- Accepted at 500+ universities across the U.S. & Canada
- 100% online application -- instant conditional offer
- Free visa & career support through our Path2Success program
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for 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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