Welcome to the UCLA Social Science Interdepartmental Program!
The SSIDP supports research and teaching collaborations across departments in the UCLA Division of Social Sciences and beyond, with a focus on methodological innovation and creative problem-solving. Our programs encourage innovative social science research by bringing diverse faculty and students together to generate new understanding of key social issues. At the same time, we aim to transform research training in the social sciences for the twenty-first century with initiatives that rethink traditional approaches to teaching and learning.
SEEKING A LECTURER FOR FALL QUARTER
The UCLA Master of Social Science program (MaSS) is seeking to hire a lecturer for Fall 2024 to teach SOC SC 402 Quantitative Data Analysis in Social Science.
The expected enrollment is approximately 30 students. SOC SC 402 introduces students to fundamental statistics and data science tools widely used in the social sciences. Students develop core skills for evaluating and presenting quantitative research evidence. The statistical concepts covered include descriptive statistics, inferential statistics, probability, statistical tests, correlation and causation, and regression analysis. This course uses of the R statistical programming language.
The course is taught in a seminar format and include a mix of lecture, demonstration of software tools, tutorial-guided self-study, team-based collaborative work, and discussion.
Qualifications:
Applicants should hold a PhD in a social science or related discipline. Prior experience teaching quantitative methods, quantitative data analysis or statistics, preferably with experience teaching at the graduate level, is required. Additionally, mastery of R statistical programming is necessary.
To Apply:
Applicants should submit by email (subject line: “MaSS Lecturer Application 2024”) a CV and a cover letter describing relevant experiences and qualifications to the MaSS Program Administrator, Allie Westrup: alliewestrup@g.ucla.edu.