University of Technology Sydney

C10457v1 Bachelor of Mathematical Sciences

Award(s): Bachelor of Mathematical Sciences (BMathSc)
UAC code: 607081 (Autumn session, Spring session)
CRICOS code: 106661D
Commonwealth supported place?: Yes
Load credit points: 144
Course EFTSL: 3
Location: City campus

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

Overview

The Bachelor of Mathematical Sciences is an exciting and modern degree, which enables students with a strong interest in mathematics, statistics, and data to grow and develop skills that are in high demand in the modern work force. The basis is a comprehensive foundation of core mathematical competencies. The foundation is developed further in one of two Majors: Statistics and Data Science, Pure and Applied Mathematics. More importantly, the foundation ensures graduates have the knowledge and skills to develop and adapt in the rapidly changing work environment.

This course is strongly focussed on the application of cutting-edge mathematical techniques to real-world problems. The programme draws on the established research strengths at UTS in applied mathematics and statistics, providing a unified and interactive mathematics education for a diverse cohort of students. The core provides a broad mathematical foundation, while each major provides depth of study.

Course aims

Students graduate with high-level skills in mathematics, statistics and data science to match the growing workforce requirements for manipulation and analysis of data.

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: Demonstrate theoretical and technical knowledge in an area of the mathematical sciences, incorporating deductive reasoning to solve complex problems.
1.2 Analyse: Examine the principles and concepts of a range of fundamental areas in the mathematical sciences (calculus, discrete mathematics, linear algebra, probability, statistics and quantitative management).
1.3 Synthesise: Integrate knowledge of at least one sub-discipline of the Mathematical Sciences providing a pathway for further learning and research.
2.1 Apply: Develop research skills and an ability to find mathematical solutions to outstanding problems, with a critical evaluation and analysis of the obtained results.
2.2 Analyse: Make arguments based on proof and conduct simulations based on 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: Apply existing strategies to new problems, and evaluate and transform information to complete a range of activities.
3.1 Apply: Ability to work effectively and responsibly in an individual or team context.
3.2 Analyse: Demonstrate professional and responsible analysis of real-life problems that require application of mathematics and statistics and analysis of data.
3.3 Synthesise: Ethical application of mathematical and statistical approaches to problem-solving and decision-making.
4.1 Apply: Demonstrate self-reflection, and individual and independent learning strategies to extend existing knowledge.
4.2 Analyse: Information retrieval and consolidation skills applied to the critical evaluation of the mathematical/statistical aspects of information to think creatively and try different approaches to solving problems.
4.3 Synthesise: Test critical thinking skills to appraise solutions for contemporary mathematical sciences problems.
5.1 Apply: Succinct and accurate presentation of information, reasoning and conclusions in a variety of modes, to diverse audiences (expert and non-expert).
5.2 Analyse: Demonstrate research approaches to clarify a problem or to obtain the information required to develop mathematical solutions.
5.3 Synthesise: Integrate written and verbal instructions or problem statements to describe a significant piece of work and its importance.
6.1 Apply: Demonstrate an appreciation of the connections between Aboriginal and Torres Strait Islander Knowledges, and assumptions behind mathematical and statistical modelling.
6.2 Analyse: Interpret mathematical and statistical modelling within the context of Aboriginal and Torres Strait Islander culture.
6.3 Synthesise: Evaluate cultural biases within mathematical and statistical models in a professional context and its impact on Aboriginal and Torres Strait Islander people and culture.

Admission requirements

Applicants must have completed an Australian Year 12 qualification, Australian Qualifications Framework Diploma, or equivalent Australian or overseas qualification at the required level.

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.

Assumed knowledge

Mathematics Advanced, any two units of English

Mathematics Extension 1 is recommended.

Course duration and attendance

This course is offered on a three-year, full-time or six-year, part-time basis.

Course structure

Students must complete 144 credit points made up of 84 credit points of core subjects, a 36-credit-point major and 24 credit points of electives.

Industrial training/professional practice

Students studying this course have an opportunity to undertake an internship subject and receive academic credit for their placement off campus (an external business or research institute) or on campus (UTS research institutes or departments), in a capacity relevant to their academic studies.

Course completion requirements

STM91631 Core subjects 84cp
CBK92046 Major choice 36cp
CBK90232 Electives (Science UG) 24cp
Total 144cp

Course program

Typical course programs are shown below.

Statistics and Data Science, Autumn commencing, full time
Year 1
Autumn session
33130 Mathematics 1   6cp
37181 Discrete Mathematics   6cp
41039 Programming 1   6cp
60006 Scientific Perspectives for Global Issues   6cp
Spring session
33230 Mathematics 2   6cp
37242 Introduction to Optimisation   6cp
37161 Probability and Random Variables   6cp
35007 Real Analysis   6cp
Year 2
Autumn session
37252 Regression and Linear Models   6cp
37234 Complex Analysis   6cp
37233 Linear Algebra   6cp
37345 Quantitative Management Practice   6cp
Spring session
31271 Database Fundamentals   6cp
35006 Numerical Methods   6cp
31250 Introduction to Data Analytics   6cp
37262 Mathematical Statistics   6cp
Year 3
Autumn session
37495 Statistical Design and Models for Evaluation Studies   6cp
37335 Differential Equations   6cp
37373 Programming for Data Analysis   6cp
37363 Stochastic Processes and Financial Mathematics   6cp
Spring session
Select 24 credit points from the following:   24cp
CBK90232 Electives (Science UG) 24cp  
Statistics and Data Science, Spring commencing, full time
Year 1
Spring session
31250 Introduction to Data Analytics   6cp
37161 Probability and Random Variables   6cp
60006 Scientific Perspectives for Global Issues   6cp
33130 Mathematics 1   6cp
Year 2
Autumn session
33230 Mathematics 2   6cp
41039 Programming 1   6cp
37181 Discrete Mathematics   6cp
Select 6 credit points from the following:   6cp
CBK90232 Electives (Science UG) 24cp  
Spring session
35006 Numerical Methods   6cp
37242 Introduction to Optimisation   6cp
35007 Real Analysis   6cp
31271 Database Fundamentals   6cp
Year 3
Autumn session
37252 Regression and Linear Models   6cp
37234 Complex Analysis   6cp
37345 Quantitative Management Practice   6cp
37233 Linear Algebra   6cp
Spring session
37262 Mathematical Statistics   6cp
Select 18 credit points from the following:   18cp
CBK90232 Electives (Science UG) 24cp  
Year 4
Autumn session
37495 Statistical Design and Models for Evaluation Studies   6cp
37335 Differential Equations   6cp
37373 Programming for Data Analysis   6cp
37363 Stochastic Processes and Financial Mathematics   6cp
Pure and Applied Mathematics, Autumn commencing, full time
Year 1
Autumn session
33130 Mathematics 1   6cp
37181 Discrete Mathematics   6cp
41039 Programming 1   6cp
60006 Scientific Perspectives for Global Issues   6cp
Spring session
33230 Mathematics 2   6cp
37242 Introduction to Optimisation   6cp
37161 Probability and Random Variables   6cp
35007 Real Analysis   6cp
Year 2
Autumn session
37252 Regression and Linear Models   6cp
37234 Complex Analysis   6cp
37233 Linear Algebra   6cp
37345 Quantitative Management Practice   6cp
Spring session
35005 Lebesgue Integration and Fourier Analysis   6cp
35006 Numerical Methods   6cp
37262 Mathematical Statistics   6cp
37336 Vector Calculus and Partial Differential Equations   6cp
Year 3
Autumn session
37335 Differential Equations   6cp
37363 Stochastic Processes and Financial Mathematics   6cp
Select 12 credit points from the following:   12cp
37373 Programming for Data Analysis 6cp  
37495 Statistical Design and Models for Evaluation Studies 6cp  
21511 Global Operations and Supply Chain Management 6cp  
25503 Investment Analysis 6cp  
25300 Fundamentals of Business Finance 6cp  
Spring session
Select 24 credit points from the following:   24cp
CBK90232 Electives (Science UG) 24cp  
Pure and Applied Mathematics, Spring commencing, full time
Year 1
Spring session
33130 Mathematics 1   6cp
37161 Probability and Random Variables   6cp
60006 Scientific Perspectives for Global Issues   6cp
Select 6 credit points from the following:   6cp
CBK90232 Electives (Science UG) 24cp  
Year 2
Autumn session
33230 Mathematics 2   6cp
41039 Programming 1   6cp
37181 Discrete Mathematics   6cp
Select 6 credit points from the following:   6cp
CBK90232 Electives (Science UG) 24cp  
Spring session
35006 Numerical Methods   6cp
37242 Introduction to Optimisation   6cp
35007 Real Analysis   6cp
Year 3
Autumn session
37345 Quantitative Management Practice   6cp
37233 Linear Algebra   6cp
37252 Regression and Linear Models   6cp
37234 Complex Analysis   6cp
Spring session
35005 Lebesgue Integration and Fourier Analysis   6cp
37336 Vector Calculus and Partial Differential Equations   6cp
Select 12 credit points of options   12cp
Year 4
Autumn session
37363 Stochastic Processes and Financial Mathematics   6cp
Select 12 credit points from the following:   12cp
37495 Statistical Design and Models for Evaluation Studies 6cp  
37373 Programming for Data Analysis 6cp  
21511 Global Operations and Supply Chain Management 6cp  
25503 Investment Analysis 6cp  
25300 Fundamentals of Business Finance 6cp  
37335 Differential Equations   6cp

Honours

Bachelor of Mathematical Sciences (Honours) (C09129) is available to eligible students with an additional one year of full-time study.

Other information

Further information is available from:

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