Major Overview

Description

Note: this major is only available to re-enrolling students.

Quantitative methods are used in a variety of subject areas such as science, economics, marketing, engineering, medicine, public health, psychology, education and sport. An increasing number of industries use quantitative reasoning for improving product and service quality, increasing efficiency in the workplace, and assessing their growth strategies. This major has a full, structured curriculum that provides you with practical, interdisciplinary research skills based on sound disciplinary foundations. The units are designed to empower you by ensuring you develop a broad range of skills and abilities that you will find useful and relevant to your own interests.

Outcomes

Students are able to (1) appreciate different possible approaches and tools for quantitative problem solving; (2) acquire a broad range of basic quantitative and computational techniques in the context of real applications; (3) understand the meaning and interpretation of basic quantitative methods; (4) suggest a method of solution when presented with an quantitative problem; (5) select the most appropriate technique when presented with two alternative techniques for solving a quantitative problem; (6) recognise which technique is being applied when presented with a step-by-step description of a quantitative technique; (7) select and apply basic quantitative and computational techniques, in practice, on a broad range of real data; (8) write succinct interpretations of the results, identify correct and incorrect interpretations, and identify the most appropriate statistical graphic supporting the conclusion when presented with the results of a quantitative technique; (9) extract key information relevant to a quantitative problem from various kinds of material (written documents, video recordings, role-playing interactions); (10) express specified quantitative information in language appropriate to a specified audience; (11) explain in lay terms the meaning of a computer output or statistical calculation; (12) identify obvious flaws in the presentation of quantitative information in newspaper and TV reports; and (13) recognise basic features and key results of quantitative analysis presented in scientific literature.

Broadening guidelines

All students studying towards a Bachelor's Degree at UWA are required to Broaden their studies by completing a minimum of four units (24 points) of study outside their degree specific major. Broadening is your opportunity to explore other areas of interest, investigate new disciplines and knowledge paradigms and to shape your degree to suit your own aspirations and interests. Many of you will be able to undertake more than this minimum amount of broadening study and we encourage you to do so if this suits your aspirations. Over the next few months you will find here some broadening suggestions related to your degree-specific major. While we know that many students value guidance of this sort, these are only suggestions and students should not lose sight of the opportunity to explore that is afforded by your Broadening Choices. Advice can also be sought from your Allocated Student Advising Office.

Courses

Quantitative Methods can be taken as a degree-specific major in the following degree courses:

No study plans found for this major. See study plans for more information.

Units

Key to availability of units:
S1 = Semester 1; S2 = Semester 2; N/A = not available in 2022

Note:Units that are indicated as N/A may be available in 2023 or 2024.

Level 1

Degree-specific major units
Take unit(s) to the value of 6 points:
Availability Unit code Unit name unit requirements
S1, S2 MATH1012 Mathematical Theory and Methods
Prerequisites:
Mathematics Specialist ATAR
or
MATH1722 Mathematics Foundations: Specialist
or
equivalent
Co-requisites:
Nil
Incompatibility:
Nil
S1, S2 STAT1400 Statistics for Science
Prerequisites:
Mathematics Applications ATAR
or
MATH1720 Mathematics Fundamentals
or
equivalent
Co-requisites:
Nil
Incompatibility:
STAT1520 Economic and Business Statistics
S1, S2 STAT1520 Economic and Business Statistics
Prerequisites:
Mathematics Applications ATAR
or
MATH1720 Mathematics Fundamentals
or
ECON1111 Quantitative Methods for Business and Economics
or
equivalent
Co-requisites:
Nil
Incompatibility:
STAT1400 Statistics for Science
Degree-specific major units
Take unit(s) to the value of 6 points:
Availability Unit code Unit name unit requirements
S2 CITS1402 Relational Database Management Systems
Prerequisites:
Mathematics Applications ATAR
or
MATH1720 Mathematics Fundamentals
or
equivalent
Co-requisites:
Nil
Incompatibility:
CITS2232 Databases
S1 ECON1111 Quantitative Methods for Business and Economics
Prerequisites:
Mathematics Applications (ATAR)
or
WACE Mathematics 2C/2D
or
TEE Discrete Mathematics
or
MATH0700 Preparatory Mathematics
Co-requisites:
Nil
Incompatibility:
Mathematics Methods (ATAR)
or
higher; WACE Mathematics 3A/3B
or
higher; TEE Applicable Mathematics; TEE Calculus;
or
MATH1701 Introductory Mathematics Foundations
S1, S2 MATH1011 Multivariable Calculus
Prerequisites:
Mathematics Specialist ATAR
or
MATH1722 Mathematics Foundations: Specialist
or
equivalent
Co-requisites:
Nil
Incompatibility:
Nil
Complementary units
Take the complementary unit (6 points) (not required by students who have Mathematics: Methods ATAR or WACE Mathematics 3A/3B or equivalent or higher):
Availability Unit code Unit name unit requirements
S1, S2 MATH1720 Mathematics Fundamentals
Prerequisites:
Mathematics Applications ATAR [with a scaled score of less than 50]
or
with permission
Co-requisites:
Nil
Incompatibility:
Mathematics Applications ATAR [with a scaled score of 50
or
greater]
or
Equivalent
or
higher

Level 2

Degree-specific major units
Take all units (12 points):
Availability Unit code Unit name unit requirements
S1 STAT2401 Analysis of Experiments
Prerequisites:
Mathematics Applications ATAR
or
MATH1720 Mathematics Fundamentals
or
equivalent
Co-requisites:
Nil
Incompatibility:
Nil
S2 STAT2402 Analysis of Observations
Prerequisites:
Nil
Co-requisites:
Nil.
Incompatibility:
Nil

Level 3

Degree-specific major units
Take all units (24 points):
Availability Unit code Unit name unit requirements
S1 STAT3401 Advanced Data Analysis
Prerequisites:
( Course Enrolment in the MJD-QTMTD Quantitative Methods major
or
the MJD-CDSDM Computing and Data Science major
or
the MJD-HSDEM Human Sciences and Data Analytics major ) and ( STAT2401 Analysis of Experiments and STAT2402 Analysis of Observations )
or
STAT2062 Fundamentals of Probability with Applications
Co-requisites:
Nil
Incompatibility:
STAT4065 Multilevel and Mixed-Effects Modelling
N/A STAT3402 Communication and Problem Solving with Statistics
Prerequisites:
Enrolment in in the MJD-QTMTD Quantitative Methods major STAT3401 Advanced Data Analysis
Co-requisites:
Nil
Incompatibility:
Nil
S2 STAT3405 Introduction to Bayesian Computing and Statistics
Prerequisites:
( Course Enrolment in the MJD-DATSC Data Science major
or
the MJD-QTMTD Quantitative Methods major ) and ( STAT2401 Analysis of Experiments and STAT2402 Analysis of Observations )
or
STAT2062 Fundamentals of Probability with Applications
Co-requisites:
Nil
Incompatibility:
STAT4066 Bayesian Computing and Statistics
S1 STAT3406 Applied Statistics and Data Visualisation
Prerequisites:
( Course Enrolment in the MJD-QTMTD Quantitative Methods major
or
the MJD-HSDEM Human Sciences and Data Analytics major
or
the MNR-ASTAT Applied Statistical Learning minor ) and ( STAT2401 Analysis of Experiments and STAT2402 Analysis of Observations )
or
STAT2062 Fundamentals of Probability with Applications
Co-requisites:
Nil
Incompatibility:
STAT4064 Applied Predictive Modelling