Quantitative Methods major

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.

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

BP004 Bachelor of Science
BH005 Bachelor of Philosophy (Honours)

Overview of unit sequence

Quantitative Methods is a degree-specific single major comprising:

  • two Level 1 units
  • two Level 2 units
  • four Level 3 units
  • one Level 3 complementary unit
Key to availability of units:
S1 = Semester 1; S2 = Semester 2; N/A = not available in 2021

Note: Units that are indicated as N/A may be available in 2022 or 2023.

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
Incompatibility:
MATH1001 Mathematical Methods 1
or
MATH1002 Mathematical Methods 2
or
MATH2040 Engineering Mathematics
S1, S2 STAT1400 Statistics for Science
Prerequisites:
Mathematics Applications ATAR
or
MATH1720 Mathematics Fundamentals
or
equivalent
or
higher
Incompatibility:
STAT1520 Economic and Business Statistics
S1, S2 STAT1520 Economic and Business Statistics
Prerequisites:
ATAR Mathematics Applications
or
MATH1720 Mathematics Fundamentals
or
ECON1111 Quantitative Methods for Business and Economics
or
MATH0038 Mathematical Analysis
or
equivalent
or
higher
Incompatibility:
STAT1400 Statistics for Science (ID 388)
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
or
higher
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
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
Incompatibility:
MATH1001 Mathematical Methods 1
or
MATH1002 Mathematical Methods 2
or
MATH2040 Engineering Mathematics
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.
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
S2 STAT2402 Analysis of Observations

Level 3

Degree-specific major units
Take all units (24 points):
Availability Unit code Unit name unit requirements
N/A STAT3401 Advanced Data Analysis
Prerequisites:
(STAT2401 Analysis of Experiments and STAT2402 Analysis of Observations)
or
STAT3405 Introduction to Bayesian Computing and Statistics
Incompatibility:
STAT4065 Multilevel and Mixed-Effects Modelling (ID 6203)
N/A STAT3402 Communication and Problem Solving with Statistics
Prerequisites:
STAT3401 Advanced Data Analysis
S1 STAT3405 Introduction to Bayesian Computing and Statistics
Prerequisites:
MATH1012 Mathematical Theory and Methods
or
STAT2401 Analysis of Experiments (ID 390)
Incompatibility:
STAT4066 Bayesian Computing and Statistics (ID 6204)
S2 STAT3406 Applied Statistics and Data Visualisation
Prerequisites:
MATH1012 Mathematical Theory and Methods
or
STAT2401 Analysis of Experiments (ID 390)

Choosing your degree-specific major

Specialised degrees – Bachelor of Advanced Computer Science (Honours), Bachelor of Automation and Robotics, Bachelor of Environmental Design, Bachelor of Music

You must satisfy the requirements of the degree-specific major in your degree before you complete your course.

Bachelor of Philosophy, Politics and Economics

This comprehensive degree does not require you to choose a degree-specific major.

General degrees

You must satisfy the requirements of a degree-specific major before you complete your course. The flexible structure of an undergraduate course allows you to try out a number of different subjects to see what interests you before nominating your degree-specific major. You have the choice to either nominate your degree-specific major when you first enrol in the course or delay nominating it until your second year.

To plan the first year of your study without nominating a degree-specific major, you are advised to choose units that will pave the way to two or more degree-specific majors that are of interest to you. For examples of the choice of units available in first year, search the first-year study plans .

To fully understand the structure of an undergraduate course, read the course structure information and the Undergraduate Degree Course Rules.

The following example illustrates how the Quantitative Methods degree-specific major can be included in the Bachelor of Science course.

Example: Course Study Plan: CSP004-QTMTD

There are more choices open to you. For more examples, search the study plans .

Choosing a second major

You also have the option to choose a second major from those available in the Bachelor of Arts, Bachelor of Biomedical Science, Bachelor of Commerce, Bachelor of Design Only available to re-enrolling students. and Bachelor of Science courses, giving you the opportunity to pursue your interests no matter how different they are.

The following example illustrates how the Quantitative Methods degree-specific major can be combined with a second major in the Bachelor of Science course.

Example: Course Study Plan: CSP004-QTMTD-Generic

For more examples of combinations of majors, search the study plans .