Florida International University
BS in Data Science & 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: High school diploma or equivalent with a minimum GPA of 3.0 preferred; SAT/ACT scores optional for many programs.
About This Program
This bachelor’s program integrates computer science, mathematics, and statistics to equip students with the skills necessary to innovate and drive decision-making in a data-centric world.
Career Outcomes
Enter AI Research Scientist career in Cross-Industry AI with machine learning focus
- 1. Data Scientist
- 2. Machine Learning Engineer
- 3. AI Analyst
- 4. Data Analytics Specialist
What You'll Learn
- Develop machine learning models for predictive analytics and pattern recognition.
- Analyze large datasets using statistical methods and data visualization techniques.
- Implement AI algorithms including supervised and unsupervised learning.
- Apply ethical principles to AI systems addressing bias and fairness.
Curriculum Highlights
Students complete core modules in data visualization, mining, and machine learning, followed by elective tracks in areas such as autonomous systems, biostatistics, or computational analytics.
Top Employers
Top employers include tech companies like Google, Amazon, Microsoft, and IBM, as well as finance firms and government agencies.
Admissions
High school diploma or equivalent with a minimum GPA of 3.0 preferred; SAT/ACT scores optional for many programs.
Application Materials
- Statement of Purpose: Optional
- Letters of Recommendation: Optional
- Resume: Optional
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: High School Diploma
- GRE/GMAT: Not Required
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
Student Reviews
Loading reviews...
Ready to Apply?
Visit the official program page for the latest deadlines, tuition, and application requirements.