University of Technology Sydney

C09020v7 Bachelor of Science (Honours) in Mathematics

Award(s): Bachelor of Science (Honours) in Mathematics (BSc(Hons))
CRICOS code: 017876G
Commonwealth supported place?: Yes
Load credit points: 48
Course EFTSL: 1
Location: City campus

Overview
Career options
Course intended learning outcomes
Admission requirements
Course duration and attendance
Course structure
Course completion requirements
Course program
Other information

Overview

The Bachelor of Science (Honours) in Mathematics offers training in research and introduces students to advanced studies in the mathematical sciences.

Students who complete the honours degree are well prepared to enter the workforce at a high level or to undertake graduate studies.

Career options

Graduates work within analytical and research positions in mathematical modelling, consumer analytics, data science and analytics, risk and financial management, market research, computational modelling and scheduling, statistical analysis.

Course intended learning outcomes

1.1 Apply: Develop and distinguish between logical, clearly-presented, and justified arguments incorporating deductive reasoning to solve complex problems.
1.2 Analyse: Examine and combine the principles and concepts of a broad understanding in a range of fundamental areas in the mathematical sciences (calculus, discrete mathematics, linear algebra, probability, statistics and quantitative management).
1.3 Synthesise: Integrate extensive knowledge of at least one sub-discipline of the Mathematical Sciences.
2.1 Apply: Formulate and model practical and abstract problems that are complex in nature using advanced quantitative principles, concepts, techniques, and technology.
2.2 Analyse: Devise solutions to problems based on a selection of approaches (e.g. analytic vs numerical/experimental, different statistical tests, different heuristic algorithms) and various sources of data and knowledge.
2.3 Synthesise: Design and execute appropriate studies to test hypotheses.
3.1 Apply: Ability to work effectively and responsibly in an individual or team context.
3.2 Analyse: Organise and manage a project demonstrating advanced skills in Mathematical Programming and Specialist Mathematical/Statistical/QM Software using time management and collaborative skills.
3.3 Synthesise: Ethical application of mathematical and statistical approaches to problem-solving and decision-making.
4.1 Apply: Demonstrate well-developed self-reflection, and individual and independent learning strategies to extend existing knowledge and that of others.
4.2 Analyse: Advanced information retrieval and consolidation skills applied to the critical evaluation of the mathematical/statistical aspects of information gathered.
4.3 Synthesise: Test critical thinking skills to create solutions for contemporary mathematics problems.
5.1 Apply: Succinct and accurate presentation of information, reasoning, and conclusions in a variety of modes to diverse expert and non-expert audiences.
5.2 Analyse: Integrate written and verbal instructions or problem statements and the ability to convey solutions to non-technical stakeholders clearly and coherently.
5.3 Synthesise: Conduct independent research to clarify a problem or to obtain the information required to develop elegant mathematical solutions.
6.1 Apply: Demonstrate an appreciation of historical and contemporary Aboriginal and Torres Strait Islander Knowledges relevant to mathematics.
6.2 Analyse: Develop cultural awareness for ethical and respectful practices, and when developing community relations.
6.3 Synthesise: Integrate Aboriginal and Torres Strait Islander knowledges, as both experience and analysis, into professional practice.

Admission requirements

Applicants must have completed a UTS recognised bachelor's degree in a relevant discipline at an appropriate level.

Students who are eligible to graduate from the Bachelor of Science (Mathematics major) (C10242) with an average mark of 65 per cent or more in Year 2 (full time) in their core subjects and chosen major are eligible for entry to the honours degree.

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.

Course duration and attendance

The course is offered on a one-year, full-time or two-year, part-time basis.

Course structure

The honours program requires the completion of subjects totalling 48 credit points.

Course completion requirements

37493 Thesis (Mathematics) Honours Part A 12cp
37494 Thesis (Mathematics) Honours Part B 12cp
CBK90820 Electives 24cp
Total 48cp

Course program

The course commences in either Autumn or Spring session. The program shown assumes full-time attendance. Not all subjects may be available.

Autumn commencing
Year 1
Autumn session
37493 Thesis (Mathematics) Honours Part A   12cp
Select 12 credit points from the following:   12cp
37458 Advanced Bayesian Methods 6cp  
37438 Modern Analysis with Applications 6cp  
37481 Honours Seminar 1 6cp  
37482 Honours Seminar 2 6cp  
Spring session
37494 Thesis (Mathematics) Honours Part B   12cp
Select 12 credit points from the following:   12cp
37464 Advanced Stochastic Processes 6cp  
37459 Multivariate Data Analysis 6cp  
37483 Honours Seminar 3 6cp  
37484 Honours Seminar 4 6cp  
Spring commencing
Year 1
Spring session
37493 Thesis (Mathematics) Honours Part A   12cp
Select 12 credit points from the following:   12cp
37464 Advanced Stochastic Processes 6cp  
37481 Honours Seminar 1 6cp  
37482 Honours Seminar 2 6cp  
37459 Multivariate Data Analysis 6cp  
Year 2
Autumn session
37494 Thesis (Mathematics) Honours Part B   12cp
Select 12 credit points from the following:   12cp
37458 Advanced Bayesian Methods 6cp  
37438 Modern Analysis with Applications 6cp  
37483 Honours Seminar 3 6cp  
37484 Honours Seminar 4 6cp  

Other information

Further information is available from:

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

Further information regarding honours, including available projects and the application process, is available from UTS: Science.