C10457v2 Bachelor of Mathematical Sciences
Award(s): Bachelor of Mathematical Sciences (BMathSc)UAC code: 607081 (Autumn session, Spring 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
Innovation and Transdisciplinary program
Course intended learning outcomes
Admission requirements
Assumed knowledge
Course duration and attendance
Course structure
Course completion requirements
Course diagram
Course program
Honours
Other information
Overview
Mathematics sits at the foundation of everyday life. The Bachelor of Mathematical Sciences prepares students to harness the power of mathematics to drive quantifiable change in the wider world. More than just a theoretical degree, it equips students with in-demand skills that are highly sought after not only in fields traditionally aligned with mathematics but in contemporary industries seeking insights from increasingly complex numerical information.
Students can choose from one of two majors:
- Statistics and Data Science
- Pure and Applied Mathematics
Why UTS Science?
As one of Australia’s leading university science faculties, UTS Science is committed to scientific advancement that creates a more sustainable world. Our students join a university that delivers global impact in STEM education and research and a faculty that produces scientists with the power to transform the profession.
Course aims
Students graduate with high-level skills in mathematics, statistics and data science to match growing workforce demand for professionals who can manipulate and analyse data.
Career options
Career options include business analyst, data analyst, data scientist, financial analyst, market analyst, mathematical modeller, programmer in diverse industries including the financial sector, marketing, non-profit, and government at local, state and federal levels, quantitative analyst (finance), statistician.
Innovation and Transdisciplinary program
Transdisciplinarity and Innovation at UTSAll UTS students have the opportunity to develop distinctive capabilities around transdisciplinary thinking and innovation through the TD School. Transdisciplinary education at UTS brings together great minds from different disciplines to explore ideas that improve the way we live and work in the world. These offerings are unique to UTS and directly translate to many existing and emerging roles and careers.
Diploma in InnovationThe Diploma in Innovation (C20060) teaches innovation, supports personal transformation and provides the hard skills needed to support the inventors and inventions of the future. Students come out of the Diploma in Innovation, with the hard skills to create and support sectoral and societal transformation. Graduates are able to fluently integrate ideas, across professional disciplines and are inventors of the future.
All UTS undergraduate students (with the exception of students concurrently enrolled in the Bachelor of Creative Intelligence and Innovation) can apply for the Diploma in Innovation upon admission in their chosen undergraduate degree. It is a complete degree program that runs in parallel to any undergraduate degree. The course is offered on a three-year, part-time basis, with subjects running in 3-week long intensive blocks in July, December and February sessions. More information including a link to apply is available at https://dipinn.uts.edu.au.
Transdisciplinary electives programTransdisciplinary electives broaden students' horizons and supercharge their problem-solving skills, helping them to learn outside, beyond and across their degrees. Students enrolled in an undergraduate course that includes electives can choose to take a transdisciplinary subject (with the exception of students concurrently enrolled in the Bachelor of Creative Intelligence and Innovation). More information about the TD Electives program is available here.
Course intended learning outcomes
| 1.1 | Demonstrate theoretical and technical knowledge of mathematical sciences including calculus, discrete mathematics, linear algebra, probability, statistics and quantitative management. |
| 2.1 | Evaluate mathematical and statistical approaches to problem solving, analysis, application, and critical thinking to make mathematical arguments, and conduct experiments based on analytical, numerical, statistical, algorithms to solve new problems. |
| 3.1 | Work autonomously or in teams to demonstrate professional and responsible analysis of real-life problems that require application of mathematics and statistics. |
| 4.1 | Design creative solutions to contemporary mathematical sciences-related issues by incorporating innovative methods, reflective practices and self-directed learning. |
| 5.1 | Use succinct and accurate presentation of reasoning and conclusions to communicate mathematical solutions, and their implications, to a variety of audiences, using a variety of approaches. |
| 6.1 | Articulate and reflect on Aboriginal and Torres Strait Islander people's unique connection to country and ways of knowing to inform professional capability to work inclusively and ethically with and for Indigenous Australians in the contexts of mathematical and statistical modelling. |
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: IELTS Academic: 6.5 overall with a writing score of 6.0; or TOEFL iBT: 79-93 overall with a writing score of 21; or AE5: Pass; or PTE: 58-64 with a writing score of 50; or C1A/C2P: 176-184 with a writing score of 169.
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 disciplinary subjects (Mathematics) | 84cp | |
| CBK92046 Major choice | 36cp | |
| CBK92300 Electives (Science UG) | 24cp | |
| Total | 144cp |
Course diagram
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 | ||
| 31061 Database Principles | 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 | |
| CBK92300 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 | |
| CBK92069 Transdisciplinary Electives | 6cp | |
| Spring session | ||
| 35006 Numerical Methods | 6cp | |
| 37242 Introduction to Optimisation | 6cp | |
| 35007 Real Analysis | 6cp | |
| 31061 Database Principles | 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 | |
| CBK92300 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 | |
| CBK92300 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 | |
| CBK92069 Transdisciplinary Electives | 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 | |
| CBK92300 Electives (Science UG) | 24cp | |
| Spring session | ||
| 35006 Numerical Methods | 6cp | |
| 37242 Introduction to Optimisation | 6cp | |
| 35007 Real Analysis | 6cp | |
| 37262 Mathematical Statistics | 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 from the following: | 12cp | |
| CBK92300 Electives (Science UG) | 24cp | |
| 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