300-level

STAT312
Data Collection and Sampling Methods
Description
Data collection and sampling methods. Designs for surveys of populations.
Occurrences
Semester One 2026
Points
15 points
Prerequisites
15-points from STAT200-299 and a further 15-points from STAT200-299 or DATA200-299.
STAT313
Computational Statistics
Description
This course is an introduction to nonparametric statistical methods based on empirical distribution functions, kernel smoothing, bootstrap, and resampling. We will study these methods by looking at their theoretical properties and their performance in practical data analysis
Occurrences
Semester One 2026
Points
15 points
Prerequisites
15 points from 200 level MATH or EMTH, STAT210-299 or DATA203
STAT314
Bayesian Inference
Description
This course explores the Bayesian approach to statistics by considering the theory, methods for computing Bayesian solutions, and examples of applications.
Occurrences
Semester Two 2026
Points
15 points
Prerequisites
30 points from 200 level MATH, EMTH, STAT202-299, DATA203 and PHYS285
STAT315
Multivariable Statistical Methods and Applications
Description
Detailed study of multivariate methods. Application of multivariate methods, test statistics and distributions.
Occurrences
Semester One 2026
Points
15 points
Prerequisites
15 points from STAT200-299 and a further 15 points from DATA200-299 or STAT200-299.
STAT317
Time Series Methods
Description
Analysis of sequentially collected data including data modelling and forecasting techniques.
Occurrences
Semester Two 2026
Points
15 points
Prerequisites
15 points from MATH102, EMTH118 or MATH199; and another 30 points from 200 level STAT or ECON213
Restrictions
ECON323, FINC323
STAT318
Statistical Learning
Description
Parametric and non-parametric statistical methodologies and algorithms for data mining.
Occurrences
Semester One 2026
Points
15 points
Prerequisites
(1) One of MATH102, EMTH118, MATH199 (for foundational mathematics); (2) one of STAT101, DATA101, MATH120, EMTH119, DATA203, STAT211, STAT213, STAT221 (for basics in probability theory); and (3) one of STAT201, STAT202, EMTH211, ECON213, ECON214, STAT315, ECON324 (for familiarity with linear regression and related methods). All of the above can be replaced by suitable alternatives or demonstration of prior knowledge with approval of the Head of School of Mathematics and Statistics. RP: MATH103 or equivalent, STAT211, STAT202.
STAT319
Generalised Linear and Multivariate Models
Description
This course covers the statistical principles, data analysis techniques, the software analysis methods, and implementation in R, for Generalised Linear Models (GLM) and Multivariate Models.
Occurrences
Semester Two 2026
Points
15 points
Prerequisites
30 points from STAT202-299
STAT391
Special Topic
Description
This special topic will allow flexibility to offer new or one-off courses of strategic importance to the Department. Its potential uses include: new staff developing a course in their areas of research specialisation; visiting Erskine fellows offering courses covering exciting new developments.
Occurrences
Semester One 2026
Points
15 points
Prerequisites
Subject to the approval of the Head of School.
STAT392
Special Topic
Description
This special topic will allow flexibility to offer new or one-off courses of strategic importance to the Department. Its potential uses include: new staff developing a course in their areas of research specialisation; visiting Erskine fellows offering courses covering exciting new developments.
Occurrences
Semester Two 2026
Points
15 points
Prerequisites
Subject to approval of the Head of School.
STAT393
Individual Course of Study
Description
-
Occurrences
Semester One 2026
Points
15 points
Prerequisites
Subject to approval of the Head of School.
STAT394
Individual Course of Study
Occurrences
Semester Two 2026
Points
15 points
Prerequisites
Subject to approval of the Head of School.
STAT395
Statistics Project
Description
This 150 hour course provides students with an opportunity to develop statistical research skills to extend and strengthen their understanding of an area of statistics. Note: This course cannot be included as part of the 300 level requirement for a Mathematics or Statistics major.
Occurrences
Summer Nov 2025
Points
15 points
Prerequisites
Subject to approval of the Head of School

Not Offered Courses in 2026

300-level

STAT316
Applied Stochastic Modelling
Description
Theory and applications of Markov processes. Applications to population dynamics, queuing and reliability.
Occurrences
Not offered 2026, offered in 2010
For further information see STAT316 course details
Points
15 points