California Machine Learning Masters Degree Programs

The University of San Diego offers an online Master of Science in Applied Artificial Intelligence, a 20-month program designed for STEM professionals seeking to advance in AI. It emphasizes practical applications, ethics, and social good, with a curriculum covering machine learning, neural networks, and deep learning. The program requires 30 units at $965 each, totaling $28,950, and includes a capstone project and expert-led instruction. No GRE or GMAT is needed for applicants with a GPA above 2.75, making it accessible for those with a related bachelor's degree.

• 20-month duration
• Online program
• $965 per unit
• No GRE/GMAT for GPA >2.75
• STEM-focused curriculum
• Ethics and social good emphasis
• Hands-on AI applications
• Flexible learning format
• 30 academic units
• Capstone project required

The University of Southern California's MS in Electrical and Computer Engineering with a concentration in Machine Learning and Data Science provides intensive training in data science theory and applications, emphasizing the extraction of insights from large datasets to advance technology. This 32-unit campus-based program requires a bachelor's degree in engineering or a related field with prerequisites in calculus, differential equations, linear algebra, and programming. It is OPT STEM extension eligible, making it ideal for international students, and prepares graduates for high-demand roles in machine learning and data science fields. An entrance exam is required for admission.

• 32 units of coursework.
• OPT STEM extension eligible.
• Campus-based program.
• Focus on Machine Learning and Data Science.
• Bachelor’s Degree required.
• Engineering or related fields preferred.
• Coursework in calculus, differential equations, linear algebra, and programming needed.
• Rigorous training in data science.
• Theoretical and practical learning blend.
• Prepares for high demand in data science fields.

USC's MS in Electrical Engineering with a concentration in Machine Learning and Data Science offers a rigorous on-campus curriculum focused on the theory and practical applications of machine learning and data science. Designed to be completed in 2-3 semesters, it provides a fast track to expertise for students at various career stages, preparing them for roles in technology and engineering. A strong academic background in engineering or related fields is required for admission, and an entrance exam is necessary.

• 2-3 semesters completion.
• On-campus program.
• Focus on machine learning.
• Data science concentration.
• Rigorous training in theory.

Golden Gate University's MS in Business Analytics with a concentration in Machine Learning for Predictive Analytics provides a 36-unit curriculum focused on Python, data structures, and advanced analytics techniques. This program emphasizes practical applications in predictive modeling, preparing graduates for high-demand roles in various industries. It offers flexible online, hybrid, and on-campus formats, ideal for working professionals. No GMAT or GRE is required, enhancing accessibility. With competitive tuition and a career-focused approach, it is located in San Francisco, CA, and is military-friendly.

• 36 total units
• No GMAT/GRE required
• Hybrid, on campus, online
• Focus on Python and data analytics
• Competitive tuition
• Career-focused curriculum
• Flexible for working professionals
• Located in San Francisco, CA
• Machine Learning concentration
• Practical applications emphasized

UCLA's online Master of Science in Engineering with a Certificate of Specialization in Data Science Engineering focuses on data science, offering a part-time, two-year program for working professionals. It emphasizes ethical AI and responsible data use, covering tools like PyTorch and TensorFlow through core courses and electives for tailored study. Admission requires transcripts, a resume, letters of recommendation, and a personal statement, with a GRE waiver possible. The total cost is $39,600, and the program is flexible, accommodating international students and fostering a diverse alumni network.

• Online and flexible.
• Part-time, two years.
• Cost: $39,600 total.
• GRE waiver possible.
• Tools: PyTorch, TensorFlow.
• Ethical AI focus.
• Tailored study plans.
• No. 1 online engineering.
• International students welcome.
• Diverse alumni network.

Santa Clara University's M.S. in Electrical and Computer Engineering with a Signal Processing and Machine Learning concentration provides a 46-unit, campus-based curriculum focused on theoretical and practical skills. It includes courses like ELEN 233 and applied mathematics, emphasizing innovation and research without a thesis requirement. Admission requires a minimum 3.0 GPA and a technical background, with flexibility for non-EE students. The program does not require an entrance exam, preparing graduates for advanced roles in technology. As a Roman Catholic and military-friendly institution, it offers a supportive environment for hands-on learning.

• 46-unit minimum requirement
• Signal Processing concentration
• No thesis required
• 3.0 GPA minimum
• Campus-based program
• Flexible for non-EE backgrounds
• Graduate core courses
• Applied mathematics included
• Research opportunities available
• Innovation-focused curriculum

The University of California-Santa Barbara offers a Master of Science in Computer Science with a concentration in Machine Learning, designed for students from diverse scientific backgrounds. This campus-based program requires 42 units of coursework, including major and breadth area courses, with specific grade requirements in computer science. It emphasizes research and early faculty advisor engagement, offering flexible completion options: thesis, project, or comprehensive examination. Admission requires a strong foundation in computer science; entrance exams such as the GRE may be required, but applicants should check the university's website for specific details as policies can vary.

• Campus-based program.
• Concentration in Machine Learning.
• Three completion options available.
• 42 units of coursework required.
• Strong foundation in CS needed.
• Research emphasis.
• Early faculty advisor engagement.
• Flexible for diverse backgrounds.
• Major and breadth area courses.
• Grade requirements for major courses.

The Master of Science in Computer Science at UC Davis focuses on concentrations in Artificial Intelligence and Machine Learning, Computer Vision, and Data Science. This campus-based program requires a bachelor's degree, a minimum 3.0 GPA, and proficiency in computer science for admission. It emphasizes practical skills and research through core and elective courses, preparing graduates for leadership roles in technology. An entrance exam is not explicitly mentioned as required, but applicants should verify current admission policies.

• Campus-based program.
• Concentrations in AI, ML, Computer Vision, Data Science.
• Requires bachelor's degree for admission.
• Minimum GPA of 3.0.
• Core and elective courses available.
• Prepares for tech leadership roles.
• Emphasizes practical skills and research.
• Admission requires proficiency in CS areas.
• Tailored education to career goals.
• Cutting-edge technology focus.

Dominican University of California's Master of Science in Business Analytics is a STEM-designated hybrid program that can be completed in 12 months. It covers AI and machine learning, with no prior experience required, and prepares graduates for roles like data analyst and data scientist. The program is AACSB accredited and emphasizes practical projects. Admissions require a bachelor's degree, resume, statement of purpose, and one letter of recommendation; no entrance exam is specified as required.

• STEM-designated program
• 12-month duration
• Hybrid format
• No prior experience required
• AACSB accredited
• Covers AI and machine learning
• Practical, hands-on projects
• $1,190 per unit tuition
• 36 units total
• Bachelor's degree required

San Jose State University's Master of Science in Artificial Intelligence offers concentrations in Data Science and Autonomous Systems, blending theory with practical skills for careers in AI leadership. The program emphasizes predictive analytics, data management, and ethical considerations, leveraging its Silicon Valley location for industry connections. Admission requires a relevant bachelor's degree; entrance exams are not explicitly mentioned as required, but applicants should verify specific requirements on the university's website. This campus-based program focuses on cutting-edge technologies and teamwork, preparing graduates for roles in developing intelligent systems.

• Concentrations in Data Science.
• Autonomous Systems focus.
• Campus-based program.
• Silicon Valley location.
• Ethical AI emphasis.
• Teamwork and leadership skills.
• Practical and theoretical balance.
• Relevant bachelor's degree required.
• Prepares for AI leadership roles.
• Cutting-edge technology focus.

The Master of Science in Information Systems at California State University-Long Beach is a STEM-designated program focusing on concentrations in Artificial Intelligence, Cybersecurity, and Business Analytics. It is a 21-month, 30-unit cohort program with evening and Saturday classes, ideal for working professionals. Students gain hands-on experience in Python, AWS, SQL, and Tableau, covering machine learning, deep learning, and data visualization. The total cost is $31,500, including textbooks and materials. No entrance exam like GMAT or GRE is required, streamlining admissions for eligible candidates.

• STEM-designated program
• 21-month duration
• Evening and Saturday classes
• $31,500 program cost
• No GMAT/GRE required
• Python, AWS, SQL, Tableau tools
• Hands-on learning approach
• Textbooks and materials included
• Cohort-model program
• Fall semester start

San Francisco State University's Master of Science in Data Science and Artificial Intelligence specializes in Algorithms, AI & Machine Learning, offering a 30-33 unit campus-based program that blends theory with hands-on applications. Students engage in supervised research, big data platforms, statistical learning, and culminating projects, preparing for industry roles or doctoral studies. Admission requires a bachelor's degree in a quantitative field, a 3.0 GPA, GRE scores, and English proficiency exams for non-native speakers.

• 30-33 units program
• Focus on Algorithms, AI & Machine Learning
• Big Data Platforms & Systems
• Probability, Statistics, and Statistical Learning
• Data Visualization and Visual Data Analytics
• Applications and Best Practices
• Supervised Research and Culminating Experience
• Optional Supervised Industrial Research
• Campus-based program
• Prepares for industry and doctoral programs

The Master of Science in Computer Science with a concentration in Artificial Intelligence and Machine Learning at California State University-East Bay focuses on advanced topics such as computer vision and machine learning, preparing students for high-demand tech careers. This campus-based program emphasizes practical skills through a capstone project or thesis, with small class sizes and flexible scheduling ideal for working professionals. Admission requires a bachelor's degree in computer science or a related field, a minimum 3.0 GPA, and specific prerequisite courses; an entrance exam is not mentioned as required.

• Focus on AI and Machine Learning.
• Small class sizes.
• Flexible scheduling for professionals.
• Requires bachelor's in CS or related.
• 3.0 GPA for admission.
• Capstone project or thesis.
• Late afternoon or evening classes.
• Close faculty-student interaction.
• Prepares for high-demand tech careers.
• Includes computer vision course.

The University of California-San Francisco offers a 1.5-year Master of Science in Artificial Intelligence and Computational Drug Discovery and Development, focusing on applying machine learning and data science to biopharmaceutical challenges. Students complete 38 units of coursework and a capstone project, covering areas like systems pharmacology, bioinformatics, and pharmacogenomics. The program emphasizes ethical AI implications and prepares graduates for leadership roles in academia and industry. An entrance exam may be required for this master's level program.

• 1.5-year program duration
• 38 units of didactic courses
• Capstone project required
• Focus on computer science and data science
• Covers systems pharmacology and bioinformatics
• Emphasizes ethical implications of AI
• Prepares for biopharmaceutical industry roles
• Leadership in academia and industry
• Innovative drug discovery approaches
• Interdisciplinary training

Claremont Graduate University's MS in Statistics & Machine Learning is a STEM-designated, two-year campus program that prepares students for advanced careers in data science through rigorous training in machine learning algorithms, statistical analysis, and computational methods. The curriculum includes core courses in nonparametric statistics and big data, with opportunities for hands-on research and independent study leading to publications. It does not require an entrance exam for admission, and international students benefit from extended work authorization options.

• 32 total required units
• STEM-designated program
• In-person campus modality
• Two-year full-time completion
• International student work authorization
• Core courses in statistics/machine learning
• Optional independent study publication track