University of California, Berkeley

How this program compares

At an estimated $79.8K in total tuition, the Master of Information & Data Science (MIDS) sits about 88% above the $42.4K average for AI master's programs in our database — placing it in the 89th 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 with a strong quantitative background, such as in computer science, statistics, or related fields, is required along with transcripts, a statement of purpose, resume, and two professional letters of recommendation; GRE/GMAT scores are optional.

About This Program

A multidisciplinary online program preparing data professionals to solve real-world problems using complex and unstructured data. Coursework concentrates on Generative AI and LLMs and Machine Learning. Most students complete it in about 1 year.

Estimated total tuition is $79.8K, above the $42.4K average for AI master's programs in our database and in the 89th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Position as Data Engineer in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as Data Engineer, with reported salaries around $120,000.

Career Outcomes

Position as Data Engineer 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 real-world problems.
• Create effective data visualizations to communicate insights.
• Navigate ethical issues in data privacy and information systems.

Curriculum Highlights

The curriculum covers research design, applied machine learning, data engineering, information ethics, and a culminating capstone project.

Top Employers

Top employers include Google, Amazon, Meta, and consulting firms like McKinsey and Deloitte.

Admissions

A bachelor's degree with a strong quantitative background, such as in computer science, statistics, or related fields, is required along with transcripts, a statement of purpose, resume, and two professional letters of recommendation; GRE/GMAT scores are optional.

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+)