University of Technology Sydney

C09129v1 Bachelor of Mathematical Sciences (Honours)

Award(s): Bachelor of Mathematical Sciences (Honours) (BMathSc(Hons))
CRICOS code: 106662C
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 Mathematical Sciences (Honours) is an introduction into research training and advanced study in the areas of mathematics, statistics, data science, finance, and industrial optimisation. There is a focus on independent learning fostering soft skills such as effective time management through the hands-on experience of managing a creative project. The course challenges students to exercise more initiative and independence, and to develop greater depth of knowledge and advanced analytical skills, all attributes that are highly sought after by employers.

This course focuses on the application of cutting-edge mathematical techniques to real-world problems through the completion of student led learning. Students who complete the honours degree are well prepared to enter the workforce at a high level or to undertake graduate studies.

Career options

Career options include data scientist, statistician, data analyst, financial analyst, market analyst, quantitative analyst (finance), mathematical modeller, business analyst, programmer in diverse industries including the financial sector, marketing, non-profit organisations, and government at local, state, and federal levels.

Course intended learning outcomes

1.1 Apply: Develop a well-developed broad range of mathematical, statistical, computational, and data management skills, as well as experience in the use of the information technology required for modern data analysis.
1.2 Analyse: Examine and combine the principles and concepts of mathematics and statistics, incorporating deductive reasoning and sophisticated analytical methods to solve complex problems.
1.3 Synthesise: Integrate extensive knowledge of sub-disciplines of the Mathematical Sciences providing a pathway for further learning and research.
2.1 Apply: Conduct an advanced research project and present the results with intellectual independence.
2.2 Analyse: Make arguments based on proof and independently conduct simulations based on identified approaches (e.g. analytic vs numerical/experimental, different statistical tests, different heuristic algorithms) and various sources of data and knowledge.
2.3 Synthesise: Create strategies to solve new problems, and analyse, critically evaluate, and transform complex information to complete a range of research activities.
3.1 Apply: Work effectively and responsibly in an individual or team context with advanced professional and interpersonal skills.
3.2 Analyse: Organise and manage a complex 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 complex problem-solving and decision-making as relevant to broader societal contexts.
4.1 Apply: Demonstrate well-developed self-reflection and independent learning strategies to extend existing knowledge and research.
4.2 Analyse: Advanced information retrieval and consolidation skills applied to the critical evaluation and analysis of the mathematical/statistical aspects of information to think creatively and try different approaches to solving problems.
4.3 Synthesise: Test advanced critical thinking skills to create innovative solutions for contemporary mathematical sciences and research problems.
5.1 Apply: Succinct and accurate presentation of complex information, reasoning, and conclusions in a variety of modes to diverse expert and non-expert audiences.
5.2 Analyse: Conduct advanced independent research to clarify a problem or to obtain the information required to develop elegant mathematical solutions.
5.3 Synthesise: Integrate written and verbal instructions or problem statements to describe a significant complex piece of work and its importance, and place the work in the context of other scholarly research.
6.1 Apply: Demonstrate an appreciation of the connections between Aboriginal and Torres Strait Islander Knowledges, and assumptions behind mathematical and statistical modelling research.
6.2 Analyse: Interpret mathematical and statistical modelling research within the context of Aboriginal and Torres Strait Islander culture.
6.3 Create: Generate and communicate mathematical and statistical research using ethical practices that respect Aboriginal and Torres Strait Islander Knowledges and culture.

Admission requirements

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

The honours program is normally open to students who have attained at least a credit average over the final two-thirds of the undergraduate program.

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 basis.

Course structure

The honours course requires completion of 48 credit points, consisting of advanced coursework subjects in mathematics, statistics, data science, finance, and industrial optimisation, together with a substantial research project. The project involves a major piece of independent study, providing students with the opportunity to apply the skills developed in their coursework.

Course completion requirements

STM91632 Core subjects (Hon) 48cp
Total 48cp

Course program

The course commences in either Autumn or Spring session. The program shown below assumes full-time attendance.

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.