MCSS Computational Social Science at University of California, Berkeley

Do you have a social science degree? Make it count. Do you have a degree in economics, history, political science, psychology, sociology, global studies, or another social science?

Faculty: Graduate Division  |  Department: Computational Social Science Graduate Group  |  Duration: 1 year  |  Study mode: full-time  |  Location: Berkeley, CA, United States

What you will study

Master's Degree Requirements Course Requirements Course List Code Title Units Summer Boot Camp Required Courses (6 units) COMPSS 201 Introduction to Computing [3] COMPSS 202 Introduction to Applied Statistics [3] Fall Required Courses (14 units) First week of semester (before classes start): 2 required D-Lab workshops on SQL, with 2 hands-on workshops supervised by the MaCSS Fellow COMPSS 211A Advanced Computing [3] COMPSS 211B Data Visualization [3] COMPSS 212 Advanced Applied Statistics I [3] COMPSS 214A Computational Social Science 1A [1.5] COMPSS 214B Computational Soc Sci 1B [1.5] COMPSS 215 Career Development I [2] RRR week: 2 required D-Lab workshops on advanced Excel Spring Courses (14 units) COMPSS 221 Data Visualization [2] COMPSS 222 Applied Statistics II [3] COMPSS 223 Ethics, Data, and Society [2] COMPSS 224A Forced Out: Decoding Housing Displacement through Data [1.5] COMPSS 224B The Political Economy of Risk [1.5] COMPSS 225 Career Development II [2] COMPSS 230 Capstone Project [4] Comprehensive Exam - Plan II Students are required to submit an individual written report that covers the knowledge and skills related to data analysis at the level expected of a MaCSS degree recipient.

Career pathways

Graduates enter career areas including Business, Engineering & Computer Science, Law & Public Policy.

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