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; relevant programming experience or coursework in statistics and linear algebra is often preferred.

About This Program

This four-course program provides advanced training in deep learning and machine learning for professionals seeking to enhance their technical expertise.

Career Outcomes

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

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

What You'll Learn

Implement supervised and unsupervised machine learning models for data analysis.
Design and train deep neural networks for complex pattern recognition.
Apply natural language processing techniques to text data.
Develop AI systems incorporating ethical considerations and bias mitigation.
Evaluate and optimize AI models using advanced metrics and algorithms.

Curriculum Highlights

The curriculum is comprised of core courses in machine learning and deep learning, with electives in natural language processing and robotics.

Top Employers

Top employers include tech companies like Google, Amazon, Microsoft, and IBM.

Admissions

A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required; relevant programming experience or coursework 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: Not Required
TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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