Applied Statistics

A practical introduction to commonly used statistical methods, designed to increase the breadth of statistics skills. The emphasis is on the application of statistical techniques to solve problems involving real data.

15 points

STAT101 or DATA101 or 15 points from 100-level MATH or EMTH (excluding MATH110)

FORE210, STAT220, FORE222, STAT222

Regression Modelling

Regression models are the most widely used statistical tools for examining the relationships among variables. This course will provide a practical introduction to the fundamentals of regression modelling.

15 points

STAT101 or DATA101 or 15 points from 100-level MATH or EMTH (excluding MATH110)

FORE210, STAT220, FORE224, STAT224

Data Science Multivariable Methods

This course develops foundations for data science techniques. The focus of this course is on applications to modern data processing problems. Students will be introduced to multivariate statistical, linear algebra and calculus topics that are needed in data science and related subjects.

15 points

One of DATA101, STAT101 or EMTH119; and one of MATH102, MATH199 or EMTH118

MATH203 / EMTH211

Random Processes

This course introduces some of the most useful probability concepts and models that are widely used in biology, medicine, economics, finance, engineering, physics and many other areas. The models that will be covered are Markov chains and Poisson processes.

15 points

Either a) MATH199; or b) 15 points from MATH102 or EMTH118, and another 15 points from 100 level STAT, DATA, MATH, or EMTH (excluding MATH101 and MATH110)

STAT216

Statistical Inference

This course provides the theoretical foundations for statistical estimation and testing at an introductory level. These are essential for more advanced studies in statistics at higher levels because they facilitate a deeper understanding of statistical techniques and their applications.

15 points

(1) one of MATH102, MATH199 or EMTH118; and (2) one of STAT101, DATA101, STAT211, EMTH119, or EMTH210

STAT214

Introduction to Statistical Computing Using R

Statistical computing skills are essential within the modern workplace of statisticians and other quantitative/analytical positions. This course will develop and build your skills in computer programming for statistics, using the free statistical computing package R which is one of the most widely used tools for data analysis. The course provides excellent preparation for the many UC statistics courses that use R and, more generally, courses that require quantitative computing skills. The newly developed computing skills will also be used to unleash the power of modern computational statistical techniques for analysing complex real world data.

15 points

Either a) MATH199; or b) 15 points from MATH102 or EMTH118, and another 15 points from 100 level STAT, DATA, MATH, or EMTH (excluding MATH101 and MATH110)

STAT218