CertificateOn-Campus, OnlineFlexible

Drexel University

Graduate Certificate in Computational AI & ML

Philadelphia, Pennsylvania1 years$18K 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 $17.8K in total tuition, the Graduate Certificate in Computational AI & ML sits about 56% above the $11.4K average for AI certificate programs in our database β€” placing it in the 82nd 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+23%
Top RoleAI Engineer
FormatOn-Campus, Online

Admission Snapshot

Degree Required
Bachelor's degree
Duration
1 year
Est. Tuition
$18K total
Format
On-Campus, Online
Schedule
Flexible
GRE / GMAT
Not Required
Concentrations
Deep Learning, Machine Learning

Typical admitted student: A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with demonstrated programming proficiency in Python or similar languages and coursework in linear algebra, probability, and calculus.

About This Program

This post-baccalaureate certificate focuses on the mathematical foundations and algorithms necessary for modeling and designing sophisticated artificial intelligence and machine learning systems. Coursework concentrates on Deep Learning and Machine Learning. Most students complete it in about 1 year.

Estimated total tuition is $17.8K, above the $11.4K average for AI certificate programs in our database and in the 82nd percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Gain computer vision skills to advance as AI Engineer in Cross-Industry AI Graduates frequently move into roles such as AI Engineer, with reported salaries around $120,000.

Career Outcomes

Gain computer vision skills to advance as AI Engineer in Cross-Industry AI

  • 1. Machine Learning Engineer
  • 2. AI Data Scientist
  • 3. Computational AI Specialist
  • 4. ML Algorithm Developer

What You'll Learn

  • Implement supervised and unsupervised machine learning models for real-world data problems.
  • Design and train deep neural networks for tasks like image recognition and sequence modeling.
  • Apply computational techniques to optimize AI algorithms and handle large-scale datasets.
  • Evaluate AI/ML systems using metrics like accuracy, precision, and computational efficiency.

Curriculum Highlights

The structure includes required courses in machine learning, deep learning, and introduction to AI, plus electives in computer vision or game AI.

Top Employers

Top employers include tech leaders like Google, Amazon, Microsoft, and Meta, as well as AI-focused firms in healthcare, finance, and autonomous systems.

Admissions

A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with demonstrated programming proficiency in Python or similar languages and coursework in linear algebra, probability, and calculus.

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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