MasterOn-Campus, HybridFull-Time

University of Central Florida

MS in Data Analytics – AI Track

Orlando, Florida1.5 $36K 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 — see our methodology.

How this program compares

At an estimated $36.3K in total tuition, the MS in Data Analytics – AI Track sits roughly 14% below the $42.4K average for AI master's programs in our database — placing it in the 56th percentile on cost among the 531 we track at this level.

Est. Salary$120,000 AI Engineer
Job Growth+35%
Top RoleData Scientist
FormatOn-Campus, Hybrid

Admission Snapshot

Degree Required
Bachelor's degree
Duration
1.5 years
Est. Tuition
$36K total
Format
On-Campus, Hybrid
Schedule
Full-Time
GRE / GMAT
Not Required
Concentrations
Machine Learning, Natural Language Processing (NLP)

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. Coursework concentrates on Machine Learning and Natural Language Processing (NLP). Most students complete it in about 1.5 years.

Estimated total tuition is $36.3K, below the $42.4K average for AI master's programs in our database and in the 56th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

Thrive as Data Scientist in Cross-Industry AI with deep learning expertise Graduates frequently move into roles such as Data Scientist, with reported salaries around $125,000.

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+)

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