Short Courses in Natural Sciences & Mathematics

Statistics

Suggested Short Courses in Statistics

Certificate Introduction to Multilevel Analysis

This Introduction to Multilevel Analysis course provided by Utrecht Summer School will teach you the theoretical basics of multilevel modeling and some important methodological and statistical issues. You will also learn how to analyze multilevel data sets with the HLM programme, to interpret the output and to report the results. The benefits of multilevel analysis are discussed both in theory as with empirical examples.

Faculty of Social and Behavioural Sciences (UU)
Certificate Survey Research: Statistical Analysis and Estimation

The Survey Research: Statistical Analysis and Estimation course at Utrecht Summer School is based on a total survey error perspective and discusses the major sources of survey error. Participants will be presented with tools for detection and adjustment of such errors. Analysis methods are introduced using both SPSS and R. Topics include complex sampling, nonresponse adjustment, measurement error, analysis of incomplete data and advanced use of administrative data.

Faculty of Social and Behavioural Sciences (UU)

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Statistics comprises of a set of mathematical techniques that help in analysing collected data. Professionals use statistical thinking, parameters and methods to explain results and to anticipate possible outcomes in diverse scientific, social and business issues. Therefore, statistics is a valuable tool used in other disciplines such as medicine, natural sciences, sociology, economics, engineering and marketing. Statisticians gather data, summarise information, draw conclusions and advance predictions.

Universities offer mathematical programmes with specialisation in statistics, usually at the undergraduate level, or highly specialised degrees in statistics at the graduate level. Specialisations of statistics degrees include: statistics and measurement, statistical inference, econometrics, quantitative methods of the financial markets, statistics in life sciences, computational finance, biostatistics. Applicants are typically required to have excellent grades in mathematics and at least one other science subject. Students and professionals will use computer literacy and transferable abilities such as analytical skills, a sound logic, the capacity to interpret vast amounts of information and to effectively communicate results.

Graduates in statistics can easily find jobs wherever there is the need for decision-making based on data. They can become business analysts, economists, mathematicians, data analysts, risk analysts, environmental scientists and may naturally advance in managerial positions. Professionals work in various industries, such as medicine, health care and pharmaceuticals, marketing research, public administration, sociology, business, or insurance.

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