University of California, Irvine

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Admission Snapshot

Typical admitted student: A bachelor's degree in a STEM field such as computer science, mathematics, or engineering is typically required, along with basic programming knowledge in Python and familiarity with linear algebra and statistics.

About This Program

This specialized online program provides professionals with the skills to leverage large datasets and develop self-improving systems for competitive business advantage.

Career Outcomes

Gain deep learning skills to advance as Deep Learning Engineer in Cross-Industry AI

• 1. Machine Learning Engineer
• 2. AI Research Specialist
• 3. Data Scientist
• 4. Deep Learning Developer

What You'll Learn

• Implement machine learning algorithms for predictive modeling and data analysis.
• Design and train deep neural networks for complex pattern recognition tasks.
• Optimize models using techniques like regularization, hyperparameter tuning, and transfer learning.
• Deploy machine learning solutions in real-world applications with scalable frameworks.

Curriculum Highlights

The program requires three core courses in ML, AI, and neural networks plus elective units, totaling 10 units of specialized study.

Top Employers

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

Admissions

A bachelor's degree in a STEM field such as computer science, mathematics, or engineering is typically required, along with basic programming knowledge in Python and familiarity with linear algebra and statistics.

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+)