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 quantitative coursework. Relevant work experience or prerequisite knowledge in statistics and linear algebra is often preferred.

About This Program

This STEM-designated graduate program focuses on advanced deep learning techniques and their practical applications within the modern business sector.

Career Outcomes

Position as Data Scientist in Cross-Industry AI with deep learning expertise

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

What You'll Learn

Design and deploy machine learning models for real-world applications
Apply deep learning techniques to image, text, and sequential data
Evaluate AI systems for bias, fairness, and ethical implications
Develop scalable AI pipelines using big data tools and frameworks

Curriculum Highlights

The coursework covers data engineering, big data, cloud computing, programming for data scientists, and specialized applications for generative AI.

Top Employers

Top employers include Google, Amazon, Microsoft, and Meta.

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 quantitative coursework. Relevant work experience or prerequisite knowledge in statistics and linear algebra is often 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: Optional
TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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