CertificateOnlinePart-Time

University of South Florida

Graduate Certificate in Artificial Intelligence

Tampa, Florida1 years$417K 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 $4.2K in total tuition, the Graduate Certificate in Artificial Intelligence sits roughly 63% 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 Machine Learning Engineer
Job Growth+36%
Top RoleMachine Learning Engineer
FormatOnline

Admission Snapshot

Degree Required
Bachelor's degree
Duration
1 year
Est. Tuition
$4K total
Format
Online
Schedule
Part-Time
GRE / GMAT
Required
Concentrations
Natural Language Processing (NLP), Deep Learning

Typical admitted student: Applicants typically need a bachelor's degree from an accredited institution and a minimum undergraduate GPA of 3.0. Some programs may require foundational coursework in mathematics, computer science, or statistics, though prerequisites can often be completed concurrently.

About This Program

This graduate-level certificate provides a foundation in the computational and statistical methods used to mine information and predict outcomes. Coursework concentrates on Natural Language Processing (NLP) and Deep Learning. Most students complete it in about 1 year.

Estimated total tuition is $4.2K, 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.

Gain machine learning 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 $95,000.

Career Outcomes

Gain machine learning skills to advance as Machine Learning Engineer in Cross-Industry AI

  • 1. Machine Learning Engineer
  • 2. AI Data Scientist
  • 3. AI Solutions Architect
  • 4. Business Intelligence Analyst with AI focus

What You'll Learn

  • Design, develop, and evaluate machine learning models for real-world applications
  • Apply deep learning techniques to complex problems including computer vision and natural language understanding
  • Implement AI systems with ethical considerations, bias mitigation, and responsible deployment practices
  • Translate business problems into AI solutions using contemporary tools and frameworks

Curriculum Highlights

The curriculum includes core courses in statistical foundations, applied data intelligence, data mining, and optimization methods with industrial applications.

Top Employers

Top employers in AI include major technology companies such as Google, Microsoft, Amazon, IBM, Meta, and Apple, as well as financial institutions, healthcare organizations, and government agencies investing in AI capabilities.

Admissions

Applicants typically need a bachelor's degree from an accredited institution and a minimum undergraduate GPA of 3.0. Some programs may require foundational coursework in mathematics, computer science, or statistics, though prerequisites can often be completed concurrently.

Application Materials

  • Statement of Purpose: Required
  • Letters of Recommendation: 2
  • 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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