University of California, San Diego

How this program compares

At an estimated $3.2K in total tuition, the Certificate in Machine Learning Methods sits roughly 72% below the $11.4K average for AI certificate programs in our database — placing it in the 7th percentile on cost among the 236 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: Admission requires a bachelor's degree or equivalent, basic knowledge of college-level algebra, calculus, and programming (preferably Python), with no GRE required.

About This Program

This certificate program provides foundational and practical skills in machine learning, introducing students to the essential tools and mathematical concepts of the field. Coursework concentrates on Deep Learning and AI Engineering / Applied AI. Most students complete it in about 1 year.

Estimated total tuition is $3.2K, below the $11.4K average for AI certificate programs in our database and in the 7th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Develop machine learning skills to advance as Machine Learning Engineer in Cross-Industry AI Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.

Career Outcomes

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

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

What You'll Learn

• Apply linear algebra techniques like matrix operations and singular value decomposition to machine learning models.
• Implement supervised and unsupervised learning algorithms using Python and TensorFlow.
• Build and train deep neural networks including CNNs and RNNs for image and text applications.
• Perform dimensionality reduction and optimization methods such as gradient descent and PCA.

Curriculum Highlights

The program covers data mining, predictive modeling, and advanced topics like convolutional neural networks and responsible AI ethical implications.

Top Employers

Top employers include tech companies like Google, Amazon, Microsoft, and startups specializing in AI and data analytics.

Admissions

Admission requires a bachelor's degree or equivalent, basic knowledge of college-level algebra, calculus, and programming (preferably Python), with no GRE required.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: Optional
• Resume: Required
• Transcripts: Official transcripts required

Academic Requirements

• Degree Required: Bachelor's degree or equivalent
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)