# Quantitative Analysis

## Unit of study table (Table R)

Unit of study Credit points A: Assumed knowledge P: Prerequisites
C: Corequisites N: Prohibition
BMET9925
AI, Data, and Society in Health
6 A Familiarity with general mathematical and statistical concepts. Online learning modules will be provided to support obtaining this knowledge
BMET2925
BUSS7902
6

Basic knowledge of statistical concepts

Note: Department permission required for enrolment

BUSS7904
6

Note: Department permission required for enrolmen

CIVL5458
Numerical Methods in Civil Engineering
6
ECMT5001
Principles of Econometrics
6
ECON5005
Quantitative Tools for Economics
6
ECON6703
Mathematical Methods of Econ Analysis A
6 ECON6003
EDPK5002
Quantitative Methods
6
FMHU5002
Introductory Biostatistics
6 N PUBH5018
MATH5311
Topics in Algebra (Alt)
6 A Familiarity with abstract algebra (e.g., MATH4062 or equivalent) and commutative algebra (e.g., MATH4312 or equivalent). Please consult with the coordinator for further information.
MATH5430
Mathematical Models for Natural Phenomena
6 A Familiarity with the modelling and analysis using differential equations (e.g., MATH3063, MATH4063, MATH3078, MATH4078 or MATH4074) and the ability to write code and numerical schemes to solve standard applied mathematical problems (e.g., MATH4076 or MATH3076 or MATH4411 or equivalent). Please consult with the coordinator for further information
MATH5431
Mathematical Models for Natural Phenomena Alt
6 A Familiarity with the modelling and analysis using differential equations (e.g., MATH3063, MATH4063, MATH3078, MATH4078 or MATH4074) and the ability to write code and numerical schemes to solve standard applied mathematical problems (e.g., MATH4076 or MATH3076 or MATH4411 or equivalent). Please consult with the coordinator for further information.
MATH6980
Reading Seminar in Mathematics and Statistics
6 Note: enrolment in this unit is by special permission of unit coordinator
OLET5120
Understanding And Using ABS Data
2
OLET5606
Data Wrangling
2 Basic exploratory data analysis, basic coding in R
OLET5608
Linear Modelling
2 A Exploratory data analysis, sampling, simple linear regression, t-tests and confidence intervals. Ability to perform data analytics with coding, basic linear algebra. E.g. DATA1001 and OLET5606 (Data wrangling)
DATA2002 or DATA2902 or ENVX2001
OLET5610
Multivariate Data Analysis
2
PUBH5215
6 A The unit assumes introductory-level programming skills in SAS or R, assumes introductory-level knowledge in epidemiology, e.g., PUBH5010 or CEPI5100, and introductory-level knowledge in biostatistics or statistics, e.g., PUBH5018
(PUBH5010 or BSTA5011 or CEPI5100) and (PUBH5211 or PUBH5217 or BSTA5004)
Note: Department permission required for enrolment
PUBH5217
Biostatistics: Statistical Modelling
6 P PUBH5018 or FMHU5002
(PUBH5211 or PUBH5212 or PUBH5213)
PUBH5218
6 P PUBH5217
CEPI5310
SSPS6001
Quantitative Methods in the Social Sciences
6
SSPS6006
Data Analytics for Social Research
6
SSPS6007
Intro to Computational Social Sciences
6
STAT5002
Introduction to Statistics
6 A HSC Mathematics