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

About This Program

This interdisciplinary online major is designed for students with a technical background to master the creation and implementation of advanced machine learning models.

Career Outcomes

Thrive as Machine Learning Engineer in Cross-Industry AI with machine learning expertise

1. Machine Learning Engineer
2. AI Research Scientist
3. Data Scientist
4. AI Software Engineer

What You'll Learn

Implement supervised and unsupervised machine learning models for real-world applications.
Design and train deep neural networks for tasks like image recognition and natural language processing.
Analyze and mine large datasets to extract actionable AI-driven insights.
Evaluate ethical implications and societal impacts of AI systems.

Curriculum Highlights

The curriculum balances core AI ethics and policy with technical selectives in deep learning, data mining, and optimization for intelligent systems.

Top Employers

Top employers include Google, Amazon, Microsoft, Meta, and AI research labs at companies like OpenAI and NVIDIA.

Admissions

A bachelor's degree in computer science, engineering, or a related quantitative field with a minimum GPA of 3.0 is required, along with programming experience and coursework in linear algebra, probability, and calculus.

Application Materials

Statement of Purpose: Required
Letters of Recommendation: 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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