University of Central Florida

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 engineering with a minimum GPA of 3.0 is required, along with quantitative coursework in programming, calculus, and statistics.

About This Program

This intensive, interdisciplinary program combines computer science and statistics to equip professionals with advanced technical skills in AI-driven data analytics and algorithm design.

Career Outcomes

Thrive as Data Scientist in Cross-Industry AI with deep learning expertise

• 1. Data Scientist
• 2. AI/ML Engineer
• 3. Analytics Consultant
• 4. Business Intelligence Analyst

What You'll Learn

• Apply machine learning models to extract insights from large datasets
• Develop AI algorithms for predictive analytics and automation
• Perform advanced data mining and visualization techniques
• Design AI-driven solutions for business and industry applications

Curriculum Highlights

The structure includes core courses in data mining, network science, and statistical analysis, culminating in a semester-long, applied real-world project in data analytics.

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 engineering with a minimum GPA of 3.0 is required, along with quantitative coursework in programming, calculus, and statistics.

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: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)