FL

Master's in DS/DA
On-Campus

University of Florida

MS in Applied Data Science

  • Gainesville
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.

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What You'll Learn

Students develop skills in mathematical foundations for data science, programming, and machine learning, learning to analyze and evaluate data science systems while making informed, ethical decisions.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
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.
Typical Course Topics
1. Data Mining 2. Data Visualization 3. Machine Learning 4. Database Management 5. Statistical Inference 6. Predictive Analytics
Program Specializations:
Machine Learning
AI Ethics/Policy
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

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

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

Excel as Data Scientist in Cross-Industry AI with machine learning expertise

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
Data Scientist: $120,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Data Scientist 2. Machine Learning Engineer 3. Data Analyst 4. Business Intelligence Analyst
Top AI Employers (Industry-Wide):
Top employers include tech companies like Google, Amazon, Microsoft, and consulting firms such as Deloitte and McKinsey.
Explore AI Career Paths
Program Details
Duration
  • 1 Year
Tuition
  • 27,810
Format
On-Campus
Specializations
Machine Learning
AI Ethics/Policy
Official Resources
Program Website
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