STAT30280 Inference for Data Analytics (online)

Academic Year 2021/2022

Commonly used statistical distributions, and their use in statistical data analyses. Properties of random samples. Statistical inference. Design of statistical models that can guide a decision making process.

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Curricular information is subject to change

Learning Outcomes:

By the end of the course, students should be able to:
- identify which distribution is appropriate for certain types of data
- estimate parameters and their associated uncertainty via likelihood methods, and interpret these values in the context of real-world problems.
- incorporate prior information into common statistical problems and obtain posterior probability distributions of parameters of interest.

Indicative Module Content:

This module contains three parts: probability distributions, likelihood, and Bayesian inference. In the first part, students are introduced to the main probability distributions, including the Gaussian, Binomial, Poisson and Gamma distributions and shown their practical use and theoretical implications. In part two, students are introduced to the concept of likelihood and its use in estimating parameters of distributions and their associated uncertainty. In part 3, students are shown how to incorporate prior information and structure via Bayesian methods.

Student Effort Hours: 
Student Effort Type Hours
Specified Learning Activities


Autonomous Student Learning


Online Learning




Approaches to Teaching and Learning:
Weekly video lectures, weekly computer labs, homework assignments. 
Requirements, Exclusions and Recommendations
Learning Requirements:

Calculus: familiarity with differentiation and integration. Students are required to have completed an introductory statistics module such as STAT10060 or STAT40720.

Module Requisites and Incompatibles
STAT20100 - Inferential Statistics

Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Examination: 2 hour end of trimester online written exam 2 hour End of Trimester Exam Yes Other No


Continuous Assessment: Tutorial sheets and computer lab exercises Throughout the Trimester n/a Other No


Carry forward of passed components
Resit In Terminal Exam
Summer Yes - 2 Hour
Please see Student Jargon Buster for more information about remediation types and timing. 
Feedback Strategy/Strategies

• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

Name Role
Mr John O'Sullivan Tutor
Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.

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