University of California, Berkeley
Online Master of Information and Data Science (MIDS)
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources — see our methodology.
How this program compares
At an estimated $82.1K in total tuition, the Online Master of Information and Data Science (MIDS) sits about 93% above the $42.4K average for AI master's programs in our database — placing it in the 91st 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: A bachelor's degree from an accredited institution with a strong quantitative background in statistics, programming, or related fields is required; relevant work experience is preferred for this professional master's program.
About This Program
Berkeley's online Master of Information and Data Science (MIDS) is delivered by the School of Information and blends applied machine learning with the data engineering, experimentation, and communication skills that production data science demands. It is designed for working professionals and taught by Berkeley faculty.
The cohort-based, live-online format and Berkeley's Bay Area employer network make MIDS a strong choice for professionals targeting senior data science and ML roles without relocating.
Why students choose it: Applied DS/ML from a top public university, built for working professionals with a strong Bay Area network.
Career Outcomes
Thrive as Data Scientist in Cross-Industry AI with machine learning expertise
- 1. Data Scientist
- 2. Machine Learning Engineer
- 3. Data Engineer
- 4. Analytics Manager
What You'll Learn
- Design research studies and clean large-scale datasets for analysis.
- Engineer data pipelines and apply machine learning models to extract insights.
- Visualize complex data and communicate findings effectively.
- Address ethical, privacy, and policy issues in data science applications.
Curriculum Highlights
The multidisciplinary curriculum covers data engineering, research design, and AI, including an on-campus immersion and a hands-on synthetic capstone course.
Top Employers
Top employers include tech giants like Google, Amazon, Meta, and Microsoft, along with data-driven firms in finance, healthcare, and consulting.
Admissions
A bachelor's degree from an accredited institution with a strong quantitative background in statistics, programming, or related fields is required; relevant work experience is preferred for this professional master's program.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Optional
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
Student Reviews
Loading reviews...
Ready to Apply?
Visit the official program page for the latest deadlines, tuition, and application requirements.