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 programming experience and coursework in linear algebra, calculus, and probability.

About This Program

This online graduate program provides a strong foundation in key AI topics and machine learning theory. It is designed for professionals seeking to build and implement comprehensive AI solutions.

Career Outcomes

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

1. Machine Learning Engineer
2. AI Research Analyst
3. Data Scientist (AI focus)
4. AI Systems Developer

What You'll Learn

Explain core paradigms of machine learning and deep learning.
Build, evaluate, and interpret predictive AI models.
Apply unsupervised techniques for data structure discovery.
Design neural networks for images, sequences, and multimodal data.

Curriculum Highlights

The 12-credit certificate consists of four modular specializations. Course themes include ethics in computing, natural language processing, reinforcement learning, and the foundations of autonomous systems.

Top Employers

Top employers include tech leaders like Google, Microsoft, Amazon, and AI-focused firms such as OpenAI and NVIDIA.

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 programming experience and coursework in linear algebra, calculus, and probability.

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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