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
Take unit(s) to the value of 6 points:
| Availability | Unit code | Unit name | unit requirements |
|---|---|---|---|
| S1, S2 | MATH1012 | Mathematical Theory and Methods |
|
| S1, S2 | STAT1400 | Statistics for Science | |
| S1, S2 | STAT1520 | Economic and Business Statistics |
Take unit(s) to the value of 6 points:
| Availability | Unit code | Unit name | unit requirements |
|---|---|---|---|
| S2 | CITS1402 | Relational Database Management Systems |
|
| S1 | ECON1111 | Quantitative Methods for Business and Economics |
|
| S1, S2 | MATH1011 | Multivariable Calculus |
|
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 |
|
Level 2
Take all units (12 points):
| Availability | Unit code | Unit name | unit requirements |
|---|---|---|---|
| S1 | STAT2401 | Analysis of Experiments |
|
| S2 | STAT2402 | Analysis of Observations |
|
Level 3
Take all units (24 points):
| Availability | Unit code | Unit name | unit requirements |
|---|---|---|---|
| N/A | STAT3401 | Advanced Data Analysis | |
| N/A | STAT3402 | Communication and Problem Solving with Statistics |
|
| S1 | STAT3405 | Introduction to Bayesian Computing and Statistics | |
| S2 | STAT3406 | Applied Statistics and Data Visualisation |
Choosing your 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.
There are more choices open to you. For more examples, search the study plans .
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.
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.
For more examples of combinations of majors, search the study plans .