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Computational Social Science

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Computational Social Science Graduate GroupGraduate Self-Supporting PgmsMaster of Computational Social Science

Simple Requirements

Completion requirement

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. This will include a self-assessment and summary of what they have learned from courses in the summer, fall, and spring, including how what they have learned relates to their desired career outcomes.

All students are required to take the summer boot camp courses; however, students can waive out of this requirement by passing MaCSS waiver exams in statistics and computing methods in May prior to enrollment.