Typical admitted student: A bachelor's degree in a related field such as computer science, engineering, or mathematics is required, along with a minimum GPA of 3.0 and basic programming knowledge. Relevant work experience or prerequisite courses in programming and statistics may be preferred.

About This Program

This foundation-level suite provides practical knowledge of AI definitions, applications, and the underlying science behind intelligent computer systems.

Career Outcomes

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

1. Machine Learning Engineer
2. AI Data Analyst
3. AI Ethics Consultant
4. Computer Vision Specialist

What You'll Learn

Develop and train machine learning models for predictive analytics
Implement neural networks for image and language processing
Apply AI techniques to real-world data problems
Evaluate ethical implications and biases in AI systems

Curriculum Highlights

Modules include introductions to AI in business, deep learning, robotics, natural language processing, and time series forecasting.

Top Employers

Top employers include tech giants like Google, Microsoft, Amazon, and IBM, as well as AI-focused startups and research labs.

Admissions

A bachelor's degree in a related field such as computer science, engineering, or mathematics is required, along with a minimum GPA of 3.0 and basic programming knowledge. Relevant work experience or prerequisite courses in programming and statistics may be 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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