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. GRE scores are optional for most programs.

About This Program

A fully online master's program focused on the theoretical concepts and practical tools necessary to design and deploy complex machine learning models.

Career Outcomes

Advance as Machine Learning Engineer in Cross-Industry AI with deep learning expertise

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

What You'll Learn

Design and implement supervised, unsupervised, and reinforcement learning models.
Apply deep learning techniques including neural networks and convolutional networks.
Develop natural language processing systems for text analysis and generation.
Optimize machine learning models using advanced algorithms and data visualization.

Curriculum Highlights

The 30-credit curriculum features courses in mathematical foundations, natural language processing, fundamentals of machine learning, and hands-on projects using Python.

Top Employers

Top employers include Google, Amazon, Microsoft, Meta, and AI-focused startups.

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. GRE scores are optional for most programs.

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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