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.

Degree-specific major

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 1 complementary unit
Key to availability of units:
S1 = Semester 1; S2 = Semester 2; SS = summer teaching period

Level 1

Degree-specific major units
Take unit(s) to the value of 6 points:
Availability Unit code Unit name unit requirements
S1, S2, SS MATH1012 Mathematical Theory and Methods
Prerequisites:
Mathematics Specialist ATAR
or
WACE Mathematics: Specialist 3C/3D
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
Mathematics Methods ATAR
or
WACE Mathematics 2C/2D
or
MATH1720 Mathematics Fundamentals
or
equivalent
or
higher
Incompatibility:
STAT1510 Statistics A, STAT1520 Economic and Business Statistics
S1, S2, SS STAT1520 Economic and Business Statistics
Prerequisites:
Mathematics Methods ATAR
or
WACE Mathematics 3A/3B
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; STAT1510 Statistics A; STAT1530 Statistics B; STAT2210 Biometrics 1; MATH1020 Calculus, Statistics and Probability; SCIE1104 Science, Society and Data Analysis
Degree-specific major units
Take unit(s) to the value of 6 points:
Availability Unit code Unit name unit requirements
S2, SS CITS1402 Relational Database Management Systems
Prerequisites:
Mathematics Applications ATAR
or
WACE Mathematics 2C/2D
or
MATH1720 Mathematics Fundamentals
or
equivalent
or
higher
Incompatibility:
CITS2232 Databases
S1, S2 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, SS MATH1011 Multivariable Calculus
Prerequisites:
Mathematics Specialist ATAR
or
WACE Mathematics: Specialist 3C/3D
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
Incompatibility:
ATAR Mathematics Methods; WACE Mathematics 3A/3B; MATH0700 Preparatory Mathematics; ECON1111 Quantitative Methods for Business and Economics;
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:
STAT1400 Statistics for Science
or
STAT1520 Economic and Business Statistics
or
MATH1002 Mathematical Methods 2
or
MATH1012 Mathematical Theory and Methods
or
MATH1020 Calculus, Probability and Statistics (students enrolled in the Master of Data Science may take one of these units as a co-requisite)
Incompatibility:
STAT2227 Applied Linear Modelling
S2 STAT2402 Analysis of Observations
Prerequisites:
STAT1400 Statistics for Science
or
STAT1520 Economic and Business Statistics
or
MATH1002 Mathematical Methods 2
or
MATH1012 Mathematical Theory and Methods
or
MATH1020 Calculus, Probability and Statistics (students enrolled in the Master of Data Science may take one of these units as a co-requisite)
Incompatibility:
STAT2226 Statistical Models for Data

Level 3

Degree-specific major units
Take all units (24 points):
Availability Unit code Unit name unit requirements
S1 STAT3401 Advanced Data Analysis
Prerequisites:
STAT2401 Analysis of Experiments
and
STAT2402 Analysis of Observations; for pre-2012 courses: (STAT2225 Statistical Science
or
STAT2226 Statistical Models for Data
or
STAT2402 Analysis of Observations) and [STAT2227 Applied Linear Modelling
or
STAT2401 Analysis of Experiments (may be taken concurrently)]
S2 STAT3402 Communication and Problem Solving with Statistics
Prerequisites:
STAT3401 Advanced Data Analysis
S1 STAT3405 Introduction to Bayesian Computing and Statistics
Prerequisites:
STAT1400 Statistics for Science
or
STAT1520 Economic and Business Statistics
or
MATH1002 Mathematical Methods 2
or
MATH1020 Calculus, Probability and Statistics
S2 STAT3406 Applied Statistics and Data Visualisation
Prerequisites:
STAT1400 Statistics for Science
or
STAT1520 Economic and Business Statistics
or
MATH1002 Mathematical Methods 2
or
MATH1020 Calculus, Probability and Statistics

Choosing your degree-specific major

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. or Bachelor of Science course, 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 .

Quantitative Methods can also be taken as a second major.

Second major

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

Overview of unit sequence

The Quantitative Methods second major is a single major comprising:

  • two Level 1 units
  • two Level 2 units
  • four Level 3 units
  • one Level 1 additional unit
Key to availability of units:
S1 = Semester 1; S2 = Semester 2; SS = summer teaching period

Level 1

Second major units
Take unit(s) to the value of 6 points:
Availability Unit code Unit name unit requirements
S1, S2, SS MATH1012 Mathematical Theory and Methods
Prerequisites:
Mathematics Specialist ATAR
or
WACE Mathematics: Specialist 3C/3D
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
Mathematics Methods ATAR
or
WACE Mathematics 2C/2D
or
MATH1720 Mathematics Fundamentals
or
equivalent
or
higher
Incompatibility:
STAT1510 Statistics A, STAT1520 Economic and Business Statistics
S1, S2, SS STAT1520 Economic and Business Statistics
Prerequisites:
Mathematics Methods ATAR
or
WACE Mathematics 3A/3B
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; STAT1510 Statistics A; STAT1530 Statistics B; STAT2210 Biometrics 1; MATH1020 Calculus, Statistics and Probability; SCIE1104 Science, Society and Data Analysis
Second major units
Take unit(s) to the value of 6 points:
Availability Unit code Unit name unit requirements
S2, SS CITS1402 Relational Database Management Systems
Prerequisites:
Mathematics Applications ATAR
or
WACE Mathematics 2C/2D
or
MATH1720 Mathematics Fundamentals
or
equivalent
or
higher
Incompatibility:
CITS2232 Databases
S1, S2 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, SS MATH1011 Multivariable Calculus
Prerequisites:
Mathematics Specialist ATAR
or
WACE Mathematics: Specialist 3C/3D
or
MATH1722 Mathematics Foundations: Specialist
or
equivalent
Incompatibility:
MATH1001 Mathematical Methods 1
or
MATH1002 Mathematical Methods 2
or
MATH2040 Engineering Mathematics
Second major units
Take the additional 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
Incompatibility:
ATAR Mathematics Methods; WACE Mathematics 3A/3B; MATH0700 Preparatory Mathematics; ECON1111 Quantitative Methods for Business and Economics;
or
equivalent
or
higher

Level 2

Second major units
Take all units (12 points):
Availability Unit code Unit name unit requirements
S1 STAT2401 Analysis of Experiments
Prerequisites:
STAT1400 Statistics for Science
or
STAT1520 Economic and Business Statistics
or
MATH1002 Mathematical Methods 2
or
MATH1012 Mathematical Theory and Methods
or
MATH1020 Calculus, Probability and Statistics (students enrolled in the Master of Data Science may take one of these units as a co-requisite)
Incompatibility:
STAT2227 Applied Linear Modelling
S2 STAT2402 Analysis of Observations
Prerequisites:
STAT1400 Statistics for Science
or
STAT1520 Economic and Business Statistics
or
MATH1002 Mathematical Methods 2
or
MATH1012 Mathematical Theory and Methods
or
MATH1020 Calculus, Probability and Statistics (students enrolled in the Master of Data Science may take one of these units as a co-requisite)
Incompatibility:
STAT2226 Statistical Models for Data

Level 3

Second major units
Take all units (24 points):
Availability Unit code Unit name unit requirements
S1 STAT3401 Advanced Data Analysis
Prerequisites:
STAT2401 Analysis of Experiments
and
STAT2402 Analysis of Observations; for pre-2012 courses: (STAT2225 Statistical Science
or
STAT2226 Statistical Models for Data
or
STAT2402 Analysis of Observations) and [STAT2227 Applied Linear Modelling
or
STAT2401 Analysis of Experiments (may be taken concurrently)]
S2 STAT3402 Communication and Problem Solving with Statistics
Prerequisites:
STAT3401 Advanced Data Analysis
S1 STAT3405 Introduction to Bayesian Computing and Statistics
Prerequisites:
STAT1400 Statistics for Science
or
STAT1520 Economic and Business Statistics
or
MATH1002 Mathematical Methods 2
or
MATH1020 Calculus, Probability and Statistics
S2 STAT3406 Applied Statistics and Data Visualisation
Prerequisites:
STAT1400 Statistics for Science
or
STAT1520 Economic and Business Statistics
or
MATH1002 Mathematical Methods 2
or
MATH1020 Calculus, Probability and Statistics

Choosing a second major

The flexible structure of an undergraduate course allows you the option of including a second major. You have the choice to either nominate your second major when you first enrol in the course or delay it until your second year. For a major to be recorded on your academic record it must be nominated before the requirements of the course are completed.

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 Quantitative Methods can be included as a second major in an undergraduate degree course.

Example: Course Study Plan: CSPGeneric-DSMGeneric-QTMTD

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

Quantitative Methods can also be taken as a degree-specific major.