MasterOn-CampusFull-Time, Part-Time

University of Florida

MS in Applied Data Science

Gainesville, Florida1 years$28K total tuition
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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.

Est. Salary$120,000
Job Growth+36%
Top RoleData Scientist
FormatOn-Campus

Admission Snapshot

Degree Required
Bachelor's degree
Duration
1 year
Est. Tuition
$28K total
Format
On-Campus
Schedule
Full-Time, Part-Time
GRE / GMAT
Required
Concentrations
Machine Learning, AI Ethics/Policy

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: 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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