CertificateOn-Campus, OnlinePart-Time

University of Florida

Graduate Certificate in Machine Learning

Gainesville, Florida1 years$404K 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 $4.0K in total tuition, the Graduate Certificate in Machine Learning sits roughly 65% below the $11.4K average for AI certificate programs in our database β€” placing it in the 14th percentile on cost among the 236 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.

Est. Salary$120,000
Job Growth+36%
Top RoleMachine Learning Engineer
FormatOn-Campus, Online

Admission Snapshot

Degree Required
Bachelor's degree
Duration
1 year
Est. Tuition
$4K total
Format
On-Campus, Online
Schedule
Part-Time
GRE / GMAT
Not Required
Concentrations
Deep Learning, Machine Learning

Typical admitted student: A bachelor's degree in a related field such as computer science, engineering, mathematics, or statistics with a minimum GPA of 3.0 is required; relevant programming experience or coursework in linear algebra and probability is often preferred.

About This Program

This graduate certificate program offers specialized training in machine learning concepts and engineering, preparing students to handle complex data challenges using industry-standard tools and frameworks. Coursework concentrates on Deep Learning and Machine Learning. Most students complete it in about 1 year.

Estimated total tuition is $4.0K, below the $11.4K average for AI certificate programs in our database and in the 14th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Strengthen natural language processing skills to advance as Machine Learning Engineer in Cross-Industry AI Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.

Career Outcomes

Strengthen natural language processing skills to advance as Machine Learning Engineer in Cross-Industry AI

  • 1. Machine Learning Engineer
  • 2. AI Data Scientist
  • 3. ML Model Developer
  • 4. AI Research Analyst

What You'll Learn

  • Implement supervised and unsupervised machine learning algorithms for data analysis.
  • Design and train deep neural networks for complex pattern recognition.
  • Apply machine learning techniques to real-world problems like prediction and classification.
  • Evaluate model performance using metrics such as accuracy, precision, and recall.

Curriculum Highlights

The curriculum features courses in machine learning and advanced machine learning, covering topics such as natural language processing, deep learning for computer graphics, and trustworthy machine learning.

Top Employers

Top employers include tech companies like Google, Amazon, Microsoft, and Meta, as well as research labs and consulting firms specializing in AI solutions.

Admissions

A bachelor's degree in a related field such as computer science, engineering, mathematics, or statistics with a minimum GPA of 3.0 is required; relevant programming experience or coursework in linear algebra and probability is often preferred.

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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