University of Technology Sydney

C11210v2 Graduate Certificate in Mathematics

Award(s): Graduate Certificate in Mathematics (GradCertMath)
CRICOS code: 065345D
Commonwealth supported place?: No
Load credit points: 24
Course EFTSL: 0.5
Location: City campus

Course aims
Career options
Course intended learning outcomes
Admission requirements
Recognition of prior learning
Course duration and attendance
Course structure
Course completion requirements
Further study at UTS
Other information


The Graduate Certificate in Mathematics is a four-subject course. The flexible course structure allows for study programs designed to suit different university graduates, from mathematicians looking to refresh or deepen their knowledge in a certain mathematical discipline, to holders of business, engineering or science bachelor's degrees who require a mathematical foundation for further studies.

The course is recommended for those with insufficient mathematics in their bachelor's degree who wish to meet the admission requirements of the Mathematical and Statistical Modelling major in the Master of Science (C04241).

Course aims

The course aims to provide university graduates with access to training and retraining in mathematics and statistics with the aim to allow students to focus on particular mathematical topics rather than on broader areas of mathematics.

Career options

Career options include web analyst, consumer analytics, data scientist, database development, marketing research, risk analytics, web conversion optimisation, programming, computational modelling, scheduling and logistics, and statistical analysis.

Course intended learning outcomes

1.0 Disciplinary knowledge and its appropriate application
1.1 Construct logical, clearly presented and justified arguments incorporating deductive reasoning.
1.2 Demonstrate knowledge of the principles and concepts of a broad range of fundamental areas in the mathematical sciences (calculus, discrete mathematics, linear algebra, probability, statistics and quantitative management).
1.3 Demonstrate in depth knowledge in at least one sub-discipline of the Mathematical Sciences.
2.0 An Enquiry-oriented approach
2.1 Formulate and model practical and abstract problems using appropriate quantitative principles, concepts, techniques and technology.
2.2 Compare the solutions from alternative approaches to a problem (e.g. Analytic v Numeric, different statistical tests, different heuristic algorithms).
2.3 Design appropriate studies to test hypotheses.
3.0 Professional skills and their appropriate application
3.1 Work effectively and responsibly in an individual or team context.
3.2 Demonstrate skills in Mathematical Programming.
3.3 Demonstrate skills in Specialist Mathematical/Statistical/QM Software.
3.4 Ethical application of mathematical and statistical approaches to problem solving and decision-making.
4.0 Ability and motivation for continued intellectual development
4.1 Find reliable information independently.
4.2 Critical evaluation of the mathematical/statistical aspects of information gathered.
4.3 Use to self-directed learning to extend existing knowledge and that of others.
5.0 Engagement with the needs of society
5.1 Understand the breadth of the discipline, its role in other fields, and the way other fields contribute to the development of mathematical sciences.
5.2 Find, reflect on and solve applications of mathematical and/or statistical and/or computational techniques to problems in business, industry, and government.
6.0 Communication skills
6.1 Gain meaning from written and verbal instructions or problem statements.
6.2 Ask questions to clarify a problem or to obtain the information required to appropriately apply a mathematical technique.
6.3 Use appropriate presentation of information, reasoning and conclusions in a variety of modes, to diverse audiences (expert and non-expert).
7.0 Initiative and innovative ability
7.1 Apply mathematical techniques to find a valid approach to address complex mathematical problems.
7.2 Assess the reasonableness of a solution to a mathematical problem.
7.3 Check the validity of any assumptions about a solution to a mathematical problem.

Admission requirements

Applicants must have completed a UTS recognised bachelor's degree, or an equivalent or higher qualification, or submitted other evidence of general and professional qualifications that demonstrates potential to pursue graduate studies.

The English proficiency requirement for international students or local applicants with international qualifications is: Academic IELTS: 6.5 overall with a writing score of 6.0; or TOEFL: paper based: 550-583 overall with TWE of 4.5, internet based: 79-93 overall with a writing score of 21; or AE5: Pass; or PTE: 58-64; or CAE: 176-184.

Eligibility for admission does not guarantee offer of a place.

International students

Visa requirement: To obtain a student visa to study in Australia, international students must enrol full time and on campus. Australian student visa regulations also require international students studying on student visas to complete the course within the standard full-time duration. Students can extend their courses only in exceptional circumstances.

Recognition of prior learning

No exemptions are granted as recognition of prior learning.

Course duration and attendance

An applicant may enrol in this course on a part-time basis. As a guide, minimum part-time attendance is one year of study. The possibility of full-time study and the duration of the course depend on the subjects chosen and their availability. Applicants should be aware that subjects may require attendance at daytime classes. The UTS Timetable Planner enables current and future UTS students to view subject timetables.

Course structure

Students are required to complete 24 credit points, comprising 18 credit points of core subjects and 6 credit points from the list of subjects (options) below.

The availability of the subjects in this program is shown with the subject descriptions in this handbook. Many subjects offered by the Department of Mathematical Sciences have prerequisites. It is the student's responsibility to check that they have the required knowledge specified by these prerequisites. Students are strongly advised not to enrol in any subject if they do not have knowledge equivalent to the subject's prerequisites.

Course completion requirements

35511 Linear Dynamical Systems 6cp
35512 Modelling Change 6cp
35513 Statistical Methods 6cp
CBK91011 Electives (Mathematics) 6cp
Total 24cp

Further study at UTS

Students who complete this course can enrol in the Mathematical and Statistical Modelling major in the Master of Science (C04241) with possible exemptions provided the subjects were completed as part of the graduate certificate.

Other information

Further information is available from:

UTS Student Centre
telephone 1300 ask UTS (1300 275 887)
or +61 2 9514 1222