PhD programme in statistics
A PhD in statistics yield a very strong foundation in the future labour market, where there is more demand being placed on competency in data analysis. The PhD programme in statistics at Uppsala University provide both a broadening and deepening in statistics, providing skills in modern statistics methods and research areas. Within in the PhD programme in statistics, one should also apply statistical methods on practical applications, thereby increasing the proficiency with which to analyse data. We mainly supervise our PhD students within our four main research areas: High dimensional data, causal inference, structural equation modeling and time series econometrics.
Basic and specific qualifications to be admitted to the PhD programme is described in the general study plan. Aside from basic qualifications for a PhD programme, the applicant must have passed results on courses of 90 credits in statistics, of which at least 60 credits at advanced level.
Arrangement of the PhD programme
The PhD programme consists of four years of full-time studies, and consists of 90 credits of coursework and a thesis worth 150 credits. Of the 90 coursework credits, 34.5 consists of mandatory courses, with the rest being elective courses.
The mandatory courses are: Inference theory (15 credits), Asymptotic theory (7.5 credits), Philosophy of science (5 credits), Scientific communication (5 credits) and Research ethics (2 credits), or equivalent courses. For PhD students who does not have prerequisite knowledge in probability theory, the course Probability theory (7.5 credits) is also mandatory.
The remaining courses are elective courses but should be within one or more of the areas of statistical methodology and/or applications. Courses both within and outside for the thesis area should be included, with at least 15 credits for each.