Florida Gulf Coast University
MS in Data Analytics and AI
How this program compares
Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.
Admission Snapshot
Typical admitted student: A bachelor's degree in a related field such as computer science, statistics, or mathematics with a minimum GPA of 3.0 is required, along with quantitative background coursework.
About This Program
This STEM-designated master’s degree prepares business professionals for leadership roles by integrating advanced data analytics, machine learning, and information systems to drive strategic decision-making.
Career Outcomes
Position as Data Scientist in Cross-Industry AI with cybersecurity expertise
- 1. Data Scientist
- 2. AI/ML Engineer
- 3. Data Analytics Manager
- 4. Business Intelligence Analyst
What You'll Learn
- Extract insights from large datasets using advanced analytics techniques.
- Build and deploy machine learning models for predictive analytics.
- Apply AI algorithms to solve complex real-world problems.
- Visualize and communicate data findings effectively to stakeholders.
Curriculum Highlights
The 30-credit curriculum covers data management, project management, business intelligence visualization, and cybersecurity management, culminating in a series of advanced machine learning and AI tool courses.
Top Employers
Top employers include tech giants like Google, Amazon, Microsoft, and consulting firms such as Deloitte and Accenture.
Admissions
A bachelor's degree in a related field such as computer science, statistics, or mathematics with a minimum GPA of 3.0 is required, along with quantitative background coursework.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2–3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Optional
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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