University of California, San Diego

How this program compares

At an estimated $3.2K in total tuition, the Specialized 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: Bachelor's degree with college-level algebra and calculus preferred; programming experience in Python recommended but not always required. Relevant professional background or equivalent knowledge strengthens applications.

About This Program

This specialized program introduces learners to the subject matter of AI using a variety of tools including Linear Algebra, Deep Learning, and TensorFlow. Coursework concentrates on Deep Learning and Machine Learning. 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.

Strengthen machine learning skills to advance as Data Scientist in Cross-Industry AI Graduates frequently move into roles such as Data Scientist, with reported salaries around $120,000.

Career Outcomes

Strengthen machine learning skills to advance as Data Scientist in Cross-Industry AI

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

What You'll Learn

• Apply linear algebra and probability to machine learning model development.
• Build and train deep neural networks including CNNs and RNNs.
• Implement dimensionality reduction techniques like PCA and SVD.
• Develop practical ML projects using TensorFlow and Python.
• Understand supervised, unsupervised, and generative AI methods.

Curriculum Highlights

The certificate involves foundational skills in Python, statistics, and data mining, followed by advanced courses in neural network modeling and natural language processing.

Top Employers

Top employers include tech companies like Google, Microsoft, Amazon, and organizations in healthcare, finance, and autonomous systems.

Admissions

Bachelor's degree with college-level algebra and calculus preferred; programming experience in Python recommended but not always required. Relevant professional background or equivalent knowledge strengthens applications.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2
• Resume: Required
• Transcripts: Official transcripts required

Academic Requirements

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