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2 Year On Campus Masters Program
Florida International UniversityThe Master of Science in Data Science (MSDS) at Florida International University (FIU) is an interdisciplinary, STEM-designated graduate program that trains students to collect, analyze, and derive actionable insights from large and complex datasets. Offered by the Knight Foundation School of Computing and Information Sciences in collaboration with multiple FIU colleges, this program integrates core knowledge in statistics, machine learning, programming, and domain-specific applications.
Designed to meet growing workforce demand in fields like healthcare, cybersecurity, and finance, FIU’s MSDS program is ideal for students with quantitative backgrounds who aspire to become technical leaders in the data-driven economy.
Program Format & Duration
Full-time or part-time study options
In-person, hybrid, or online course availability
Duration: 12–24 months, depending on course load
STEM-designated (eligible for OPT extension for international students)
No GRE required for most applicants
Core Curriculum Components
The FIU MSDS curriculum offers flexible specialization pathways, allowing students to tailor their degree based on their career goals while maintaining a rigorous foundation in core data science methodologies.
Foundational Core
All students complete core courses in the following areas:
Mathematics and Statistical Computing
Probability and Statistics
Statistical Learning and Inference
Applied Linear Algebra
Data Engineering and Programming
Data Structures and Algorithms
Data Mining and Warehousing
Big Data and Cloud Systems
Python and R for Data Science
Machine Learning and AI
Supervised and Unsupervised Learning
Deep Learning Techniques
Natural Language Processing
AI Ethics and Responsible Use
Data Visualization and Communication
Data Storytelling
Interactive Dashboards
Communication for Technical Audiences
Specialization Tracks
Students can choose electives or tracks in areas such as:
Biomedical and Health Informatics
Cybersecurity Analytics
Business Intelligence
Environmental and Urban Analytics
Capstone Project or Thesis
Students may choose between a non-thesis capstone (industry-style project) or a thesis option (academic research)
Projects involve real-world data, team collaboration, and a final presentation
FIU emphasizes practical learning and professional readiness, integrating project-based coursework, internship opportunities, and community engagement.
Capstone Project
Real-world team-based experience in solving a complex data problem
May be industry-sponsored or conducted through FIU research labs
Focus on data acquisition, modeling, visualization, and communication
Internships and Research
Access to research labs such as:
NSF Center for Advanced Analytics
Institute of Environment
FIU Biomedical Engineering and Health Systems
Internship support through the Career and Talent Development office and FIU's industry partnerships
Past internship partners include: IBM, Ryder, Baptist Health, Miami-Dade County, and regional startups
Professional Seminars & Networking
Regular workshops and seminars with industry experts
Student involvement in conferences, case competitions, and regional data summits
Networking opportunities through FIU alumni and South Florida’s tech ecosystem
Graduates of the FIU MSDS program are prepared for data-intensive roles in business, technology, healthcare, government, and research. The program’s blend of technical depth and domain-specific knowledge ensures adaptability in an evolving job market.
Career Outcomes
Typical roles include:
Top Employers
FIU data science graduates work at:
Further Study
Some graduates go on to:
Salary Overview-
Top Employers-
Geographic Placement-
Industry Sectors-
Career Growth and Progression-
What This Means for You-
Bachelor’s Degree: Hold a bachelor’s from a regionally accredited institution—preferably in Computer Science, Engineering, IT, Math, or Statistics; other fields may be considered with relevant coursework.GPA Requirement: Maintain a minimum overall GPA of 3.0 in the last two years of undergraduate upper-division coursework.Prerequisites: For non-quantitative undergrads, completion of foundation courses is required to qualify. GRE: GRE General test minimum Quant score of 148 is required, unless a waiver applies (currently waived through Fall 2023).Transcripts: Upload official or unofficial transcripts from all post-secondary institutions during application; international transcripts may require credential evaluation and certified English translations. Letters of Recommendation: Submit three letters of recommendation as part of the application.Statement of Purpose/CV/Resume: Include a statement of purpose and résumé/CV outlining your academic and professional background.English Proficiency: International applicants must provide TOEFL, IELTS, or Duolingo scores (e.g., TOEFL ≥ 80) unless exempt.Application Fee: Pay the online application fee (typically $30).Accelerated Pathway: Current FIU undergraduates (with ≥ 75 credits and GPA ≥ 3.3) may apply to the accelerated B.S./M.S. pathway with advisor approval and fee. Three‑Year Bachelor’s Degrees: A U.S.-equivalent bachelor’s degree from a regionally accredited institution is required; FIU accepts international three-year degrees as long as they meet their equivalency and GPA standards WES Evaluation: A NACES-approved course-by-course credential evaluation (e.g., WES) is required for all international coursework as of January 2023.Data AnalystData ScientistBusiness AnalystStatisticianStatistical ProgrammerSAS ProgrammerMachine Learning EngineerDeep Learning EngineerAI ResearcherData EngineerBI DeveloperData ArchitectAnalytics ConsultantAdvisory ConsultantQuantitative AnalystRisk AnalystOperations AnalystMarketing AnalystResearch ScientistInsights AnalystForecasting AnalystHealthcare Data AnalystFinancial Data AnalystProduct Analyst
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