UC Berkeley Launches New MaCSS in Computational Social Science for 2024

发布时间：Date: 2023-10-04 返回新鲜资讯Back to News

UC Berkeley has officially launched the Master of Computational Social Science (MaCSS) program, expected to begin in August 2024. The one-year program aims to cultivate interdisciplinary talent who can combine social science theories with statistical and computational skills, equipping students with practical abilities to analyze social data. The curriculum is intensive and practice-oriented, featuring an online summer bootcamp and core courses in fall and spring semesters, covering advanced applied statistics, computational tools, data ethics, and career development. This prepares students for roles as data analysts in business, government, or nonprofit sectors. For applicants, the program encourages those with undergraduate degrees in social sciences. Application deadlines are January 8, 2024 (for scholarship consideration) and March 1. Required materials include a statement of purpose, personal statement, transcripts, letters of recommendation, English proficiency scores, resume, and quantitative skills statement; GRE is optional. With surging demand for data analysts in finance, tech, and public services, graduates enjoy broad job prospects, qualifying for positions such as data analyst, business intelligence specialist, UX researcher, and other high-potential roles. Follow CheersYou（清柚教育） for the latest study abroad updates and professional guidance.

UC Berkeley recently announced a new master's program: Computational Social Science, with classes starting in August 2024.

Program Introduction:

The MaCSS program will teach students to integrate social science theories and findings with statistical training and computational skills to solve real-world social problems.

The program equips students with practical skills to analyze and interpret social data (data about people, communities, organizations, and their interactions), preparing them for roles as data analysts in business, government, or nonprofit sectors.

Program Duration:

One year

Curriculum:

Summer Bootcamp:

MaCSS students are required to have computational skills and a solid understanding of applied statistics.

The school offers an online summer bootcamp where students can take courses in statistics and computational methods. Alternatively, they can pass exams related to these two subjects in July to waive the summer bootcamp.

Fall Semester:

Advanced Applied Statistics I
Advanced Computational Tools
Ethics, Social Conflict, and Data
Computational Social Science I
Career Development I

Spring Semester:

Advanced Applied Statistics I
Advanced Computational Tools
Ethics, Social Conflict, and Data
Computational Social Science I
Career Development I

Application Requirements:

Application Deadlines:

January 8, 2024 (for scholarship consideration); March 1, 2024

Academic Background:

Applicants with a bachelor's degree (or equivalent) in a social science discipline are encouraged to apply.

Application Materials:

Statement of Purpose
Personal Statement
Official Transcripts
Two Letters of Recommendation
Proof of English Proficiency
GRE (Optional)
Quantitative Skills Statement
Resume/CV
Video or Audio Statement

Career Prospects:

As data analytics expands from the tech sector to agriculture, consumer services, finance, government, manufacturing, and nonprofits, job opportunities for data analysts are surging.

The MaCSS program emphasizes career training, so graduates will be qualified for positions such as:

Data Analyst
Business Intelligence Specialist
Product Analyst
Customer Service Analyst
UX/UI Researcher
Marketing Strategy Specialist
Sales Analyst, etc.

That is the new program UC Berkeley is launching in 2024: Computational Social Science. Follow CheersYou（清柚教育） for the latest study abroad application news!

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