This course introduces students to statistics and quantitative information. The course surveys probability theory, hypothesis testing, descriptive statistics and visualizations, and inferential ...

This page contains courses in mathematics and statistics that are taught during the current or upcoming academic year. Please note that the contents of this page are based on preliminary information.

Our course will help you gain the skills needed for essential senior roles in healthcare or environmental science. Watch a Q&A with our Data Science (Statistics) MSc programme leads. Our expert ...

In addition, graduates have the foundational training to continue on to Ph.D. studies. The Statistics M.Sc. program requires a total of 36 units, consisting of a 6-unit project and a further 30 units ...

For several weeks, the course will focus on statistics. Descriptive statistics, the normal distribution, probability, and regression will be studied. The purpose of this unit is to provide the student ...

The course will touch on the law of large numbers and the central limit theorem. Selected topics may be included such as the Poisson process, Linear Models, Markov chains, Bayesian methods. An ...

Benefit from a thorough training in advanced quantitative methods taught within an applied social science framework. Learn methods of data analysis, including advanced statistics for complex data.

This asynchronous online bridge course is specifically designed to help students satisfy the linear algebra admissions requirements for Michigan Tech's Online MS in Applied Statistics, an innovative ...

We offer two distinct programs of study for our graduate students. We also offer two additional dual degrees that can be obtained in conjunction with a degree in Statistics. The statistics program ...

Find out more about potential course changes. Please note: it may not always be possible to take specific ... yourself with a mathematical framework that embraces multiple disciplines from engineering ...

Online course apps have become more integrated into workers’ career progression as the sector has moved further from academia and closer to the world of work, seeking to meet demand as it emerges. We ...