Table R - Higher Degree By Research
Please check the current students website (Find a unit of study) for up-to-date information on units of study including availability.
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 |
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Table R - Quantitative Analysis |
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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 |
Semester 1 |
BSTA5002 Principles of Statistical Inference |
6 | P BSTA5100 or (BSTA5001 and BSTA5023) Refer to the unit of study outline https://www.sydney.edu.au/units |
Semester 1 Semester 2 |
BSTA5007 Linear Models This unit of study is not available in 2022 |
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 | P BSTA5001 N BSTA5100 Note: Department permission required for enrolment Refer to the unit of study outline https://www.sydney.edu.au/units |
Semester 1 |
BUSS7902 Quantitative Business Research Methods |
6 | A Basic knowledge of statistical concepts Note: Department permission required for enrolment |
Semester 1 Semester 2 |
BUSS7904 Advanced Quantitative Methods |
6 | A BUSS7902 N ECOF7904 Note: Department permission required for enrolment |
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 |
|
FMHU5001 Foundations of Health Research |
6 | A Basic knowledge in mathematics N MEDF5005 Refer to the unit of study outline https://www.sydney.edu.au/units |
Semester 1 |
FMHU5002 Introductory Biostatistics |
6 | N PUBH5018 Refer to the unit of study outline https://www.sydney.edu.au/units |
Semester 1 |
FMHU5003 Introduction to Qualitative Research in Health |
6 | N PUBH5505 and BACH5255 and QUAL5005 Refer to the unit of study outline https://www.sydney.edu.au/units |
Semester 2 |
FMHU5004 Qualitative Analysis and Writing in Health |
6 | A Students should have an understanding of qualitative research as this unit does not cover research design or data collection. Students looking for an introductory level unit should take FMHU5000 Introduction to Qualitative Research in Health N PUBH5506 Note: Department permission required for enrolment Refer to the unit of study outline https://www.sydney.edu.au/units |
Semester 1 |
MATH5311 Topics in Algebra (Alt) This unit of study is not available in 2022 |
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 This unit of study is not available in 2022 |
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 |
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 |
|
PUBH5215 Analysis of Linked Health Data |
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 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 or FMHU5002 N (PUBH5211 or PUBH5212 or PUBH5213) Refer to the unit of study outline https://www.sydney.edu.au/units |
Semester 2 |
PUBH5317 Advanced Economic and Decision Analysis This unit of study is not available in 2022 |
6 | P (PUBH5010 or CEPI5100) and PUBH5018 C PUBH5312 N PUBH5205 PUBH5307 |
Semester 2 Early |
SSPS6001 Quantitative Methods in the Social Sciences |
6 | Semester 1 |
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SSPS6006 Data Analytics for Social Research |
6 | Semester 2 |
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SSPS6007 Intro to Computational Social Sciences |
6 | Semester 2 |
|
STAT5002 Introduction to Statistics |
6 | A HSC Mathematics |
Semester 1 Semester 2 |