Overview
Why Data Science and Analytics at Florida Atlantic University?Florida Atlantic University (FAU) is recognised for its commitment to academic excellence, particularly through its "University of Distinction" initiative focused on applied artificial intelligence and big data analytics. The Master of Science in Data Science and Analytics is part of a multi-college interdisciplinary programme that leverages resources from the Charles E. Schmidt College of Science, the College of Engineering & Computer Science, the College of Business, and the Dorothy F. Schmidt College of Arts & Letters. This collaborative approach ensures students receive a well-rounded education tailored to the evolving landscape of data science. FAU boasts state-of-the-art facilities, including the Machine Perception and Cognitive Robotics Lab, which features the Rubin and Cindy Gruber Sandbox—a 3,400 square foot tech resource centre dedicated to artificial intelligence. Additionally, the university's strengths in quantum information science are highlighted by the Quantum Lab and the Centre for Cryptology and Information Security, a designated National Centre of Academic Excellence in Information Assurance/Cyber Defence Research. These resources provide students with unique opportunities to engage with cutting-edge technologies and research.
Tuition Fee Breakdown- International Fee: USD 19,792 per year - National Fee: USD 19,792 per year - Local Fee: USD 7,592 per year Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe M.S. in Data Science and Analytics encompasses a diverse curriculum designed to equip students with both theoretical knowledge and practical skills. Key components of the syllabus include:
- Data Analytics in Business
- Data Science and Engineering
- Data Science in Society
- Data Science via Scientific Inquiry
This structure allows students to select concentrations that align with their career aspirations and interests, providing flexibility in their educational journey.
Careers with Data Science and AnalyticsGraduates of the M.S. in Data Science and Analytics are well-prepared for various roles in the workforce. They can pursue careers as Data Curators, Data Analysts, Statisticians, Data Scientists, Market Analysts, and Software Engineers, among others. The programme's emphasis on hands-on experience ensures that alumni are equipped with the skills required to excel in sectors that increasingly rely on data-driven decision-making. With a strong foundation in both data science and analytics, graduates are positioned to contribute significantly to their chosen fields.
Programme Structure
To allow for maximum flexibility in career aspirations, applicants may select from four concentrations:
- Data Analytics in Business
- Data Science and Engineering
- Data Science in Society
- Data Science via Scientific Inquiry
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before , National
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- Starting
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- Apply before , International
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Language
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Credits
Delivered
Campus Location
- Boca Raton, United States
Disciplines
Data Science & Big Data View 461 other Masters in Data Science & Big Data 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
Each applicant for the MS-DSA program must:
- have obtained a Bachelor’s degree from an accredited institution and possess a minimal background consisting of MAC 2233 (Method of Calculus) or equivalent, STA 2023 (Introductory Statistics) or equivalent, and computer programming COP 2220, MAD 2502, or equivalent. Knowledge of Python and statistical packages, such as R, as well as coursework in linear algebra are recommended.
- have a minimum of 3.0 GPA (B or better average) on the last 60 hours of undergraduate credits and establish graduate level proficiency.
- provide two letters of recommendation.
- have a minimum GRE score of 151 Verbal and 151 Quantitative. GRE scores older than 5 years prior to admission will not accepted. The Data Science and Engineering concentration requires the submission of the GRE score (Verbal and Quantitative sections), but no minimum values are imposed.
Tuition Fees
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International Applies to you
Applies to youNon-residents19056 USD / year≈ 19056 USD / year - Out-of-State19056 USD / year≈ 19056 USD / year
-
Domestic
Applies to youIn-State7752 USD / year≈ 7752 USD / year
Living costs
Boca Raton
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
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- 100% online application -- instant conditional offer
- 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 and 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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