The December 2019 graduation season saw 1 960 students capped over six ceremonies. We also bid a fond farewell to Chancellor Graça Machel after 20 years of passionate, committed service to the university. All ceremonies were live-streamed, and those recordings are available on the News website.
UCT is an inclusive and engaged research-intensive African university that inspires creativity through outstanding achievements in learning, discovery and citizenship; enhancing the lives of its students and staff, advancing a more equitable and sustainable social order and influencing the global higher education landscape.
UCT leads, in Africa, in all of the five major world university rankings: Times Higher Education, Quacquarelli Symonds, Center for World University Rankings, US News Best Global Universities and ShanghaiRanking’s Academic Ranking of World Universities.
136th Times Higher Education
UCT moved 20 places to 136th position in the latest 2020 Times Higher Education World University Rankings.
121st US News
The sixth edition of the US News Best Global Universities rankings saw UCT being ranked 121st globally for 2020.
We offer short courses in survey data analysis. Short courses are a great way to acquire new skills or to enhance/refresh your existing skills. The 2020 summer programme will run in January and February on the Middle Campus at the University of Cape Town. Our courses have a strong practical component and teaching takes place in a computer lab. Registered university students qualify for discounts. View our 2020 short courses.
This course revises the statistical concepts relevant to regression analysis. It introduces Ordinary Least Squares regression and discusses how and why it is used. The course also covers inference in regression, dummy dependent variables, violations of the OLS assumptions and specification and data issues. Participants will use household survey data and the statistical software Stata.
This course is aimed at postgraduate students (Masters and Ph.D.), researchers, and officials in state agencies wanting to analyse social surveys using Stata. It explains the complex nature of the sample design of household surveys, including unequal probabilities of selection and weighting, clustering and stratification. It also covers calibration, variance estimation, data quality and (briefly) imputation.
