University of South Florida

How this program compares

At an estimated $19.0K in total tuition, the MS in AI (AI) and Business Analytics sits roughly 55% below the $42.4K average for AI master's programs in our database — placing it in the 22nd percentile on cost among the 531 we track at this level.

Admission Snapshot

Typical admitted student: A bachelor's degree from an accredited institution is required, typically with a minimum GPA of 3.0 or equivalent. Applicants should demonstrate quantitative background or professional experience in analytics, technology, or business; GMAT/GRE may be optional or waived for strong candidates with relevant work experience.[3

About This Program

This STEM-designated program prepares students for high-demand roles in data science and AI by blending cutting-edge technology with strategic business application. Coursework concentrates on Machine Learning and MLOps/AI Engineering. Most students complete it in about 1.5 years.

Estimated total tuition is $19.0K, below the $42.4K average for AI master's programs in our database and in the 22nd percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Excel as Data Scientist in Business AI with machine learning expertise Graduates frequently move into roles such as Data Scientist, with reported salaries around $105,000.

Career Outcomes

Excel as Data Scientist in Business AI with machine learning expertise

• 1. Machine Learning Engineer
• 2. Data Science Manager
• 3. AI Strategy Consultant
• 4. Business Analytics Leader

What You'll Learn

• Design and deploy machine learning models for business decision-making and predictive analytics
• Apply AI governance frameworks and ethical considerations to organizational strategy and compliance
• Develop technical proficiency in Python, cloud computing (AWS), and AI tools for real-world applications
• Translate complex data insights into strategic recommendations for executive and managerial leadership

Curriculum Highlights

The curriculum includes core topics such as business statistics, advanced database management, machine learning, systems analysis, and application development for analytics.

Top Employers

Top employers include Meta, AWS, BlackRock, Atlassian, and major financial institutions and technology firms seeking AI and analytics leadership.[2

Admissions

A bachelor's degree from an accredited institution is required, typically with a minimum GPA of 3.0 or equivalent. Applicants should demonstrate quantitative background or professional experience in analytics, technology, or business; GMAT/GRE may be optional or waived for strong candidates with relevant work experience.[3

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Official Transcripts: Required

Academic Requirements

• Degree Required: Bachelor's degree
• GRE/GMAT: Optional (may be waived with relevant professional experience)
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)