STAT0032 Introduction to Statistical Data Science
| Level | Credits | Term | Type |
|---|---|---|---|
| 7 | 15 | 1 | Departmental |
Module description
This module aims to provide a general background on fundamental statistical methods and applications in data science.
Further details are available in the STAT0032 UCL Module Catalogue entry.
Prerequisite knowledge
STAT0032 is primarily intended for students within the Department of Statistical Science (including the DSML programme). For these students, the academic prerequisites for this module are met through successful admission to their current programme.
For outside students, the prerequisites can be characterised as a knowledge of introductory probability and statistical theory, and the associated necessary mathematical theory.
Registration process
STAT0032 is specified as a formal option within the MSc Built Environment: Sustainable Heritage (Data Science) and MSc Risk and Disaster Science programmes. The eligibility of MSc Built Environment: Sustainable Heritage (Data Science) students will be determied via a test organised by their parent department at the beginning of Term 1. Students from the MSc Risk and Disaster Science programme must consult a member of staff in the Department of Statistical Science, to establish whether they have the necessary prerequisites.
STAT0032 is NOT offered as an elective.
This webpage part of a guide to modules offered by the Department of Statistical Science that are available to students registered in other UCL departments and should be read in conjunction with the general information on the front page of the guide.