CA

Master's in DS/DA
Online

University of California, Berkeley | Online Master of Information and Data Science

  • Berkeley


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.

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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
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The Master of Information and Data Science (MIDS) is a fully online master's degree program that can be completed in 12–20 months, focusing on statistical analysis, machine learning, data visualization, and practical data science applications across industries.[2][6
Typical Course Topics
1. Principles and Techniques of Data Science 2. Applied Machine Learning 3. Statistical Learning Theory 4. Data Engineering 5. Data Visualization 6. Causal Inference and Experiments
Program Specializations:
Natural Language Processing (NLP)
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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.
Academic Requirements (Typical)

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

Application Materials (Typical)

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

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

Check Application Deadlines
Career Opportunities in AI

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

Estimated Industry Salary
Data Scientist: $112,000 Machine Learning Engineer: $135,000 Data Engineer: $125,000 Analytics Manager: $118,000
Total compensation (entry to mid-level)
AI Job Growth
36%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Data Scientist 2. Machine Learning Engineer 3. Data Engineer 4. Business Analyst/Analytics Manager
Top AI Employers (Industry-Wide):
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.
Explore AI Career Paths
Program Details
Duration
  • 1.67 Year
Tuition
$ 76,950
Format
Online
Specializations
Natural Language Processing (NLP)
Machine Learning
Official Resources
Program Website
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