Studying Mathematics or Statistics with Commerce Studies in the BCom/BSc Combined Degree

How to study Commerce with Mathematics or Statistics at UNSW

Choose the four-year combined degree in Commerce and Science with a Major in one of the Business disciplines and in Mathematics or Statistics. Administered by UNSW Business School together with the School of Mathematics and Statistics in the Faculty of Science, this is a full Commerce degree with the extra studies in Mathematics or Statistics that will make the degree more attractive and competitive when looking for employment.

Students with good results may continue for another year (total 5 years) to complete Honours in the Commerce discipline, Mathematics or Statistics.

Most students choose to combine Mathematics or Statistics with Finance or Actuarial Studies, and there are others who choose to combine Business Statistics with Statistics, but any discipline within Commerce can be combined with Mathematics or Statistics. 

See 3529 - Commerce/Science in the UNSW Handbook for more information.

How do Mathematics and Statistics fit with the Commerce studies?

Mathematics, Statistics and Computing skills are an essential part of advanced financial, commercial and actuarial modelling and are necessary for a full understanding of the theory behind the modelling, so they form a natural complement to Commerce studies. Additionally, Commerce studies courses can enrich the study of Mathematics and Statistics. These programs are ideal for students who have an interest in mathematics and statistics, but who wish to enhance their employment prospects in commerce. 

What are the entry requirements?

You must meet the appropriate ATAR cut-off. Please see the UAC website where ATAR cut-offs are listed for each program.

  • The BCom/BSc combined degree is listed under UAC code 424000 (BCom/BSc).

In addition, you will need to have a certain level of prior knowledge of Mathematics. To find out the level of knowledge required for first year Mathematics courses, see Assumed Knowledge.

Mathematics and Statistics demand a high level of mathematical ability, so the Mathematics level required is in fact rather higher than the formal prerequisites and we would only recommend this program for students whose Mathematics marks exceed 120 out of 150 in Mathematics plus Extension 1, or 150 out of 200 in Mathematics Extension 1 plus Extension 2. 

What do I study in the course?

In first year you will study Mathematics, Computing (recommended), Accounting and Financial Management, Microeconomics, Macroeconomics, and the Commerce displine. Statistics studies start in year 2.

At the end of year 1, it may be possible for you to swap between majors in Commerce or to swap the Mathematics or Statistics majors to another Science major. In later years this becomes difficult without having to take a longer time to complete the degree. It is not possible to transfer between degree programs without reapplying for admission.

Mathematics and Statistics can be studied at the Ordinary level or at the Higher level depending on your interests and abilities, but study at the Higher level is recommended and may be necessary for certain courses in later years.

To find out more about which courses to take, please see Program and Course Details below.

For formal details and informal descriptions of individual Mathematics and Statistics courses, see the Details of Courses page. 

Program and Course Details

The combined BCom/BSc degree requires:

  • 96 UOC of Commerce, including a major and specified Level I courses
  • 96 UOC of Science, including a major and at least 24 UOC of Level I Science courses

Units of Credit values are as follows:

  • ALL Commerce courses are 6 UOC each
  • Science courses MATH###1 are 6 UOC each
  • Science courses MATH###0 are 3 UOC each

Each semester is 24 units of credit. NO General Education is required.

Mathematics and Statistics courses are shown at the Higher level, but can be taken at the Ordinary level. The particular selection of Mathematics and Statistics options taken should have the approval of the Mathematics and Statistics Program advisor.

Note that MATH1141 and MATH1241 Higher Mathematics 1A/B may be replaced by MATH1151 and MATH1251 Mathematics for Actuarial Studies and Finance 1A/B.

Particular care needs to be taken in choosing Level II options to ensure that prerequisites for Level III options are met.

The Objective 5 General Education requirements are met within the Commerce courses.

Note that extra Science courses other than Mathematics are required to meet the rules above, particularly in First Year. 

All students should check with the Science Student Centre that they meet the requirements fo the Science component of the Combined degree. The School of Mathematics and Statistics cannot decide this.

Courses in the various stages can be taken in different years provided prerequisites are met, and ordinary level courses can replace the higher where appropriate.

Major in Mathematics

Stage 1
MATH1141 Higher Mathematics 1A
MATH1241 Higher Mathematics 1B
MATH1081 Discrete Mathematics (Highly Recommended)

Stage 2
MATH2111 Higher Several Variable Calculus
MATH2221 Higher Theory and Application of Differential Equations (pre-2014, MATH2130)
MATH2601 Higher Linear Algebra
MATH2621 Higher Complex Analysis (pre-2014, MATH2620)
MATH2901 Higher Theory of Statistics

Stage 3
12 units of credit from non-stats Level III MATH courses (MATH30xx to MATH37xx or MATH6871)
6uoc any level III MATH courses

Major in Statistics

Stage 1
MATH1141 Higher Mathematics 1A
MATH1241 Higher Mathematics 1B
MATH1081 Discrete Mathematics (Highly Recommended)

Stage 2
MATH2601 Higher Linear Algebra
MATH2111 Higher Several Variable Calculus
MATH2901 Higher Theory of Statistics
MATH2931 Higher Linear Models

Stage 3
MATH3901 Higher Probability and Stochastic Processes
MATH3911 Higher Statistical Inference
MATH3821 Statistical Modelling and Computing
Plus one of the following
MATH3831 Statistics in Social & Market Research
MATH3841 Statistics of Dependent Data
MATH3851 Experimental Design and Categorical Data
MATH3871 Bayesian Inference and Computation

Double major in Mathematics and Statistics

Stage 1
MATH1141 Higher Mathematics 1A
MATH1241 Higher Mathematics 1B
MATH1081 Discrete Mathematics (Highly Recommended)

Stage 2
MATH2111 Higher Several Variable Calculus
MATH2221 Higher Theory and Applications of Differential Equations (pre-2014, MATH2130)
MATH2601 Higher Linear Algebra
MATH2621 Higher Complex Analysis (pre-2014, MATH2620)
MATH2901 Higher Theory of Statistics
MATH2931 Higher Linear Models

Stage 3
MATH3901 Higher Probability and Stochastic Processes
MATH3911 Higher Statistical Inference
MATH3821 Statistical Modelling and Computing
Plus one of the following
MATH3831 Statistics in Social & Market Research
MATH3841 Statistics of Dependent Data
MATH3851 Experimental Design and Categorical Data
MATH3871 Bayesian Inference and Computation

Plus 
12 units of credit of non statistics Level III Mathematics (MATH30xx to MATH37xx or MATH6871)

How do I get further information about these programs?

School of Mathematics and Statistics

phone: (02) 9385 7111

fax: (02) 9385 7123

email: ug.MathsStats followed by @unsw.edu.au

 

Also see the UNSW Business School.