University of Florida
MS in Applied Data Science
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β see our methodology.
How this program compares
At an estimated $27.8K in total tuition, the MS in Applied Data Science sits roughly 34% below the $42.4K average for AI master's programs in our database β placing it in the 39th percentile on cost among the 531 we track at this level.
Admission Snapshot
Typical admitted student: A bachelor's degree in any field from an accredited institution is required, with preference for engineering or technical backgrounds and an upper-division GPA of 3.0 or higher. GRE is optional, and related coursework in math or programming strengthens applications.
About This Program
This 30-credit, non-thesis program is designed for engineering students and professionals from non-computing backgrounds to gain a working knowledge of techniques and software commonly used in data science. Coursework concentrates on Machine Learning and AI Ethics/Policy. Most students complete it in about 1 year.
Estimated total tuition is $27.8K, below the $42.4K average for AI master's programs in our database and in the 39th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.
Excel as Data Scientist in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as Data Scientist, with reported salaries around $120,000.
Career Outcomes
Excel as Data Scientist in Cross-Industry AI with machine learning expertise
- 1. Data Scientist
- 2. Machine Learning Engineer
- 3. Data Analyst
- 4. Business Intelligence Analyst
What You'll Learn
- Apply data mining and machine learning to extract insights from large datasets.
- Design and implement data visualization for effective communication of findings.
- Perform statistical analysis and predictive modeling for decision-making.
- Manage databases and process big data using industry-standard tools.
Curriculum Highlights
The curriculum features seven core courses in math foundations and AI ethics, two specialization electives in areas like transportation or chemical engineering, and a real-world capstone project.
Top Employers
Top employers include tech companies like Google, Amazon, Microsoft, and consulting firms such as Deloitte and McKinsey.
Admissions
A bachelor's degree in any field from an accredited institution is required, with preference for engineering or technical backgrounds and an upper-division GPA of 3.0 or higher. GRE is optional, and related coursework in math or programming strengthens applications.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2β3
- 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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