Typical admitted student: A bachelor's degree in engineering, computer science, or a related STEM field with a minimum GPA of 3.0 is required, along with relevant technical background or work experience in programming and data analysis.

About This Program

Designed for flexible online learning, this engineering program focuses on developing intelligent systems and the algorithms that drive machine learning innovation.

Career Outcomes

Lead as Machine Learning Engineer in Engineering AI with natural language processing (nlp) expertise

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

What You'll Learn

Develop and deploy machine learning models for real-world engineering problems.
Apply deep learning and neural networks to complex data patterns.
Design AI systems using natural language processing and reinforcement learning.
Analyze and optimize algorithms for scalable AI applications.

Curriculum Highlights

The structure includes core topics in quantitative foundations, natural language processing, and big data management, supported by a final capstone.

Top Employers

Top employers include tech giants like Google, Amazon, Microsoft, and engineering firms such as Lockheed Martin and Northrop Grumman.

Admissions

A bachelor's degree in engineering, computer science, or a related STEM field with a minimum GPA of 3.0 is required, along with relevant technical background or work experience in programming and data analysis.

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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