Typical admitted student: A bachelor's degree in computer science, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience in Python or similar languages. Relevant coursework in mathematics or statistics is preferred.

About This Program

A STEM-designated master's program that combines business administration with the latest information technology training in AI and machine learning to solve complex problems.

Career Outcomes

Advance as Machine Learning Engineer in Business AI with machine learning expertise

1. AI/ML Engineer
2. Data Scientist
3. Machine Learning Specialist
4. AI Solutions Architect

What You'll Learn

Design and implement machine learning models for predictive analytics.
Build and deploy deep learning systems using frameworks like TensorFlow and PyTorch.
Apply natural language processing and computer vision to real-world problems.
Evaluate AI ethics, bias, and responsible deployment practices.

Curriculum Highlights

The hybrid structure integrates core MBA subjects with specialized IT modules in machine learning, cybersecurity, and project management.

Top Employers

Top employers include tech firms like Google, Amazon, Microsoft, and consulting companies specializing in AI implementation.

Admissions

A bachelor's degree in computer science, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience in Python or similar languages. Relevant coursework in mathematics or statistics is 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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