Table R - Higher Degree By Research

Unit outlines will be available through Find a unit outline.

Unit of study Credit points A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition Session

Table R - Quantitative Analysis

This table lists Table R - Higher Degree by Research units of study
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.
N BMET2925

Note: Department permission required for enrolment

Semester 1
BSTA5002
Principles of Statistical Inference
6    P BSTA5023


Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 1
Semester 2
BSTA5007
Linear Models
6    P BSTA5023 and (BSTA5011 or PUBH5010 or CEPI5100)
C BSTA5002


Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 1
Semester 2
BSTA5023
Probability and Distribution Theory
6   

Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 1
Semester 2
BUSS7902
Quantitative Business Research Methods
6    A Basic knowledge of statistical concepts

Note: Department permission required for enrolment
Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 1
Semester 2
CIVL5458
Numerical Methods in Civil Engineering
6      Semester 1
ECMT5001
Principles of Econometrics
6      Semester 1
Semester 2
ECON5005
Quantitative Tools for Economics
6      Semester 1
Semester 2
ECON6703
Mathematical Methods of Econ Analysis A
6    N ECON6003
Semester 1
Semester 2
EDPK5002
Quantitative Methods
6      Semester 2
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.
Semester 1
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.
Semester 2
OLET5120
Understanding And Using ABS Data
2      Intensive April
OLET5402
Basics of Quantitative Research Design
2   

Refer to the unit of study outline https://www.sydney.edu.au/units
Intensive June
OLET5606
Data Wrangling
2    A Basic exploratory data analysis, basic coding in R
Intensive July
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).
N DATA2002 or DATA2902 or ENVX2001
Intensive May
OLET5610
Multivariate Data Analysis
2      Intensive June
PUBH5018
Introductory Biostatistics
6   

Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 1
PUBH5215
Analysis of Linked Health Data
6    A Basic familiarity with SAS computing syntax and methods of basic statistical analysis of fixed-format data files
C (PUBH5010 or BSTA5011 or CEPI5100) and (PUBH5211 or PUBH5217 or BSTA5004)

Note: Department permission required for enrolment
Refer to the unit of study outline https://www.sydney.edu.au/units
Intensive June
Intensive November
PUBH5217
Biostatistics: Statistical Modelling
6    P PUBH5018
N (PUBH5211 or PUBH5212 or PUBH5213)


Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 2
SSPS6001
Quantitative Methods in the Social Sciences
6      Semester 1
STAT5002
Introduction to Statistics
6    A HSC Mathematics
Semester 1
Semester 2