Typical admitted student: A bachelor's degree in a related field such as computer science, engineering, or mathematics is required, along with a minimum GPA of 3.0 and demonstrated programming experience. Prerequisites in calculus, linear algebra, and statistics are often expected.

About This Program

Designed for professionals, this program provides a high-level introduction to AI technologies and their transformative effects on modern industry.

Career Outcomes

Gain AI technology skills to advance as Machine Learning Engineer in Cross-Industry AI

1. AI/ML Engineer
2. Data Scientist
3. AI Ethics Consultant
4. Machine Learning Specialist

What You'll Learn

Core AI algorithms and machine learning models for predictive analytics
Techniques for training neural networks and deep learning systems
Processing and analyzing unstructured data with NLP and computer vision
Ethical considerations and bias mitigation in AI development

Curriculum Highlights

The structure emphasizes the impact of AI in key sectors like technology and business, along with current regulatory and ethical challenges.

Top Employers

Top employers include tech leaders like Google, Microsoft, Amazon, and IBM, as well as AI-focused startups and research organizations.

Admissions

A bachelor's degree in a related field such as computer science, engineering, or mathematics is required, along with a minimum GPA of 3.0 and demonstrated programming experience. Prerequisites in calculus, linear algebra, and statistics are often expected.

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: Not Required
TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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