Major Overview
 Description
Note: this major is only available to reenrolling 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:
 appreciate different possible approaches and tools for quantitative problem solving
 acquire a broad range of basic quantitative and computational techniques in the context of real applications
 understand the meaning and interpretation of basic quantitative methods
 suggest a method of solution when presented with an quantitative problem
 select the most appropriate technique when presented with two alternative techniques for solving a quantitative problem
 recognise which technique is being applied when presented with a stepbystep description of a quantitative technique
 select and apply basic quantitative and computational techniques, in practice, on a broad range of real data
 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
 extract key information relevant to a quantitative problem from various kinds of material (written documents, video recordings, roleplaying 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 degreespecific 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 degreespecific 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 2024 – may be available in 2025 or 2026
Level 1
Degreespecific 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 

S1, S2  STAT1400  Statistics for Science  
S1, S2  STAT1520  Economic and Business Statistics 
Degreespecific major units
Take unit(s) to the value of 6 points:
Availability  Unit code  Unit name  unit requirements 

S1, S2  CITS1402  Relational Database Management Systems 

S1  ECON1111  Quantitative Methods for Business and Economics 

S1, S2  MATH1011  Multivariable Calculus 

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 

Level 2
Degreespecific major units
Take all units (12 points):
Level 3
Degreespecific major units
Take all units (24 points):
Availability  Unit code  Unit name  unit requirements 

S1  STAT3401  Advanced Data Analysis  
N/A  STAT3402  Communication and Problem Solving with Statistics 

S2  STAT3405  Introduction to Bayesian Computing and Statistics  
S1  STAT3406  Applied Statistics and Data Visualisation 
