Bachelors of Mathematics / Commerce

4 Year On Campus Bachelors Program

University of Queensland

Program Overview

This dual degree combines advanced mathematical training with practical business and commerce knowledge, making it an excellent choice for students who enjoy problem-solving, data analysis, finance, economics, and quantitative decision-making. Throughout the program, students develop strong analytical and commercial skills while learning how mathematical methods can be applied to real-world business and financial challenges.

By studying both disciplines together, graduates gain a versatile skill set that is highly valued across industries such as finance, consulting, technology, analytics, government, and business management.


Curriculum Structure

Year 1
Students build a strong foundation in both mathematics and commerce. Courses such as MATH1051 Calculus and Linear Algebra I, MATH1052 Multivariable Calculus and Ordinary Differential Equations, and ECON1010 Introduction to Microeconomics introduce key concepts in mathematical modelling, quantitative analysis, and economic decision-making. Students also begin developing essential business knowledge through introductory commerce studies.

Year 2
The second year focuses on strengthening analytical and commercial capabilities through more specialised coursework. Subjects such as STAT2003 Probability Models and Statistical Inference, MATH2001 Analysis, and ACCT2101 Financial Accounting help students deepen their understanding of statistics, finance, economics, and business operations while improving quantitative problem-solving skills.

Year 3
Students move into advanced applications of mathematics and commerce. Depending on their chosen majors, they may study courses such as MATH3202 Real Analysis, STAT3004 Applied Statistical Analysis, and FINM3406 Investments and Portfolio Management, applying mathematical techniques to financial markets, business strategy, and data-driven decision-making.

Year 4
In the final year, students complete advanced coursework across their selected mathematics and commerce specialisations. This stage of the program focuses on refining professional, analytical, and strategic thinking skills while preparing students for leadership roles, postgraduate study, or highly quantitative careers.


Focus Areas

Mathematics, statistics, data analytics, finance, economics, actuarial studies, business analysis, quantitative modelling, financial mathematics, operations research, commerce, decision science, investment analysis


Learning Outcomes

Graduates develop advanced mathematical reasoning, statistical analysis, quantitative modelling, financial decision-making, and business problem-solving skills. They learn to analyse complex data, evaluate commercial opportunities, and apply evidence-based solutions to challenges across business, finance, economics, and technology sectors.


Professional Alignment (Accreditation)

The commerce component supports pathways into professional careers in accounting, finance, economics, business analytics, and management. The mathematics component provides strong preparation for quantitative careers in finance, technology, data analytics, research, and other data-driven industries.


Reputation (Employability Rankings)

The University of Queensland is internationally recognised for excellence in mathematics, business, economics, and research. Its strong academic reputation and industry connections help graduates stand out in competitive global job markets, particularly in finance, consulting, analytics, and technology sectors.

Experiential Learning (Research, Projects, Internships etc.)

At the University of Queensland, the Bachelor of Mathematics / Commerce program is designed to provide students with a robust blend of theoretical knowledge and practical skills. This program emphasizes experiential learning, allowing students to engage in real-world applications of their studies. With access to state-of-the-art facilities and resources, students can immerse themselves in hands-on experiences that enhance their understanding and prepare them for successful careers.

 

Here are some key aspects of experiential learning in the Bachelor of Mathematics / Commerce program:

- Group Projects: Collaborate with peers on projects that simulate real business challenges, fostering teamwork and problem-solving skills.
- Internships: Gain valuable industry experience through internships with leading companies, providing insights into the professional world and enhancing your resume.
- Software Tools: Utilize industry-standard software such as MATLAB, R, and Python for data analysis and statistical modeling, equipping you with essential technical skills.
- Field Trips: Participate in field trips to local businesses and organizations, offering firsthand exposure to the application of mathematical and commercial concepts in various sectors.
- Research Laboratories: Access dedicated research facilities where you can engage in projects that contribute to ongoing research in mathematics and commerce.
- Libraries and Study Spaces: Benefit from extensive library resources and study spaces designed to support your learning and research needs.
- UQ Business School: Take advantage of the resources and networking opportunities provided by the UQ Business School, which is renowned for its focus on practical learning and industry connections.

These experiential learning opportunities not only enhance your academic experience but also prepare you for a successful career in mathematics and commerce. 

Consider applying to the Bachelor of Mathematics / Commerce program and take the first step towards a rewarding future!

Progression & Future Opportunities

Graduates of the Bachelor of Mathematics/Commerce at the University of Queensland (UQ) are well-equipped for a variety of exciting career paths. With a strong foundation in both quantitative analysis and business principles, you can expect to find opportunities in roles such as data analyst, financial consultant, and business strategist. The skills you acquire will not only prepare you for immediate employment but also set you up for long-term career success:

 

- University Services: UQ offers dedicated career services, including resume workshops, interview preparation, and networking events with industry professionals, ensuring you are well-prepared for the job market.
- Employment Stats and Salary Figures: UQ boasts an impressive graduate employment rate of over 90%, with starting salaries averaging around AUD 65,000, reflecting the high demand for graduates in this field.
- University–Industry Partnerships: UQ has established strong partnerships with leading companies such as Deloitte and PwC, providing students with internship opportunities and real-world experience that enhances employability.
- Long-term Accreditation Value: The program is accredited by professional bodies such as CPA Australia and the Chartered Financial Analyst (CFA) Institute, ensuring that your degree holds value in the job market for years to come.
- Graduation Outcomes: Graduates are not only prepared for immediate employment but also have a track record of advancing into leadership roles within their organizations.

Further Academic Progression: After completing your Bachelor of Mathematics/Commerce, you have several options to continue your studies. You could pursue a Master’s degree in areas such as Finance, Data Science, or Business Administration, which would deepen your expertise and open doors to higher-level positions. Additionally, UQ offers pathways to PhD programs for those interested in research or academia, allowing you to contribute to the field of mathematics and commerce at a higher level.

Choosing UQ for your studies means investing in a future filled with opportunities and growth.

Program Key Stats

$54,096
$10,990
$ 150

Febr Intake : 31st OctJuly Intake : 31st Mar


40 %
No

Eligibility Criteria

ABB
NA
36.5
85

NA
NA
6.5
87
92

Additional Information & Requirements

Country Requirements

Career Options

  • Chartered accountant
  • Financial analyst
  • Information systems designer
  • Data architect
  • Financial investment adviser
  • Data scientist
  • Quantitative analyst
  • Algorithm specialist
  • Applied statistician
  • Business analyst
  • Technology consultant
  • Data analyst
  • AI research
  • Machine learning engineering

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