Computational Social Science Masters at Berkeley (MaCSS)

Announcing the One-Year Master of Computational Social Science (MaCSS)

Do you have a social science degree? Make it count.

Do you have a degree in economics, history, political science, psychology, sociology, or another social science? UC Berkeley is launching MaCSS because we believe social scientists make good data analysts.

The MaCSS program will teach you to integrate social science theories and findings with statistical training and computational skills to solve real-world social problems.  We will give you practical skills in the analysis and interpretation of social data – data about people, communities, organizations, and their interactions – and prepare you for a job as a data analyst in business, government, or the nonprofit world.

Download our brochure for an overview of the MaCSS program.



Data Matters—Make Sure Everyone Counts

In recent years, we have experienced an explosion of data. In the past, large data sets were only available from government  agencies and academic institutions. Today, we have access to a whole range of data from both the public and private sectors.  We can know many things about people, like how many lattes they drink each month, how long they sit in traffic, and how  many miles they run each week.

Many of these newly accessible data categories are used to drive consumerism, but what if  we thought more creatively about their application to solving some of the world’s stickiest problems? Our access to data today presents a range of untapped opportunities to improve the quality of life in both the public and private sectors.


Do Good with Data

If you are intellectually curious, eager to learn new cutting-edge data-analysis methods, and interested in answering questions with data, then MaCSS is the program for you. MaCSS graduates will be prepared for positions as data analysts with a healthy skepticism regarding data quality, along with a toolkit for working with imperfect data.

Info Session

Watch a recording of our information session to learn more about MaCSS