UC Berkeley’s Goldman School of Public Policy is known for its rigorous quantitative curriculum. This guide outlines what MPP students can expect in their quantitative methods sequence and how to prepare effectively.
1. Core Quantitative Courses
- Microeconomics for Policy
- Statistics for Public Policy
- Econometrics for Policy Analysis
- Cost‑Benefit Analysis
2. Skills You’ll Need
- Regression modeling
- Data cleaning and preparation
- Stata or R proficiency
- Interpreting causal inference results
3. Common Challenges
- Fast‑paced problem sets
- Heavy coding expectations
- Complex policy datasets
4. How to Prepare
- Review probability and statistics
- Practice Stata or R workflows
- Study past Goldman School assignments
Conclusion
Berkeley’s MPP program is demanding but rewarding. For personalized support, explore the Public Policy Tutoring California page or visit the California University Guides Hub.
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