University of California, Berkeley

How this program compares

At an estimated $77.0K in total tuition, the Online Master of Information and Data Science sits about 81% above the $42.4K average for AI master's programs in our database — placing it in the 88th percentile on cost among the 531 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: Applicants must hold a bachelor's degree from an accredited institution and demonstrate proficiency in Python programming or equivalent technical background. The program accepts students with diverse academic backgrounds, though a foundation in mathematics, statistics, or computer science is beneficial.

About This Program

Designed for working professionals, this online program develops technical expertise to extract insights from complex data and communicate findings to drive decision-making. Coursework concentrates on Natural Language Processing (NLP) and Machine Learning. Most students complete it in about 1.67 years.

Estimated total tuition is $77.0K, above the $42.4K average for AI master's programs in our database and in the 88th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Advance as Data Scientist in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as Data Scientist, with reported salaries around $118,000.

Career Outcomes

Advance as Data Scientist in Cross-Industry AI with machine learning expertise

• 1. Data Scientist
• 2. Machine Learning Engineer
• 3. Data Engineer
• 4. Business Analyst/Analytics Manager

What You'll Learn

• Design and implement machine learning models for predictive analytics and classification tasks
• Apply statistical methods to extract insights from large, complex datasets
• Build data engineering pipelines and manage big data infrastructure
• Communicate data-driven findings through visualization and storytelling to non-technical stakeholders

Curriculum Highlights

The multidisciplinary curriculum includes courses in research design, statistics, data engineering, and ethics, culminating in a hands-on synthetic capstone.

Top Employers

Top employers include technology firms like Google, Amazon, and Microsoft; financial institutions like JPMorgan Chase and Goldman Sachs; and healthcare organizations like Optum and UnitedHealth Group.

Admissions

Applicants must hold a bachelor's degree from an accredited institution and demonstrate proficiency in Python programming or equivalent technical background. The program accepts students with diverse academic backgrounds, though a foundation in mathematics, statistics, or computer science is beneficial.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Official Transcripts: Required

Academic Requirements

• Degree Required: Bachelor's degree
• GRE/GMAT: Optional[3]
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)