Bachelor of Business(Finance)/Bachelor of Mathematics

4 Years On Campus Bachelors Program

Queensland University of Technology

Program Overview

The Bachelor of Business (Finance) / Bachelor of Mathematics at Queensland University of Technology (QUT) combines advanced financial knowledge with strong mathematical and analytical training, preparing students for high-level careers in banking, investment, data analytics, actuarial-style roles, and financial modelling. This program is ideal for students who enjoy problem-solving, quantitative thinking, and applying mathematical techniques to real-world financial and business challenges. Campus Location: Gardens Point Campus, Brisbane, Australia, where QUT’s business, economics, and quantitative studies are based.

Curriculum Structure

Year 1:
Students begin by building core foundations in both business and mathematics. Finance studies include Foundations of Finance and Accounting for Decision Making, while mathematics units such as Calculus and Linear Algebra and Mathematical Foundations develop strong quantitative reasoning skills. This year establishes essential analytical thinking and problem-solving abilities needed for advanced financial modelling and mathematical applications.

Year 2:
The second year deepens financial and mathematical knowledge through units such as Corporate Finance, Financial Markets, and intermediate mathematics subjects including Statistical Methods and Discrete Mathematics. Students begin applying mathematical techniques to financial problems, learning how to model uncertainty, analyse data, and evaluate investment decisions using quantitative approaches.

Year 3:
Students progress into advanced finance and higher-level mathematics. Finance units such as Investment Analysis and International Finance are paired with mathematics subjects like Applied Statistics and Optimisation Techniques, allowing students to build strong expertise in financial modelling, risk analysis, and predictive decision-making.

Year 4:
In the final year, students integrate both disciplines through advanced applications and capstone learning. Units such as Portfolio Management and Financial Risk Management are combined with advanced mathematics topics and a Finance Capstone Project, where students solve complex real-world financial problems using mathematical and computational tools. This year prepares graduates for highly analytical and quantitative roles in industry.

Focus Areas: Financial Modelling, Quantitative Finance, Investment Analysis, Risk Management, Applied Mathematics, Statistical Analysis, Optimisation, Corporate Finance, Financial Markets, Data Analytics, Economic Modelling.

Learning Outcomes: Apply advanced mathematical techniques to financial and business problems; develop strong quantitative and analytical reasoning skills; evaluate investment and financial risks using data-driven methods; construct financial models for decision-making; communicate complex analytical findings effectively; demonstrate problem-solving skills in real-world financial contexts.

Professional Alignment (Accreditation):
The Finance component aligns with industry expectations in banking, investment, and financial services, while the Mathematics component supports quantitative and analytical career pathways in finance, data science, and modelling-focused roles. Graduates are well-prepared for professional roles requiring strong numerical and analytical expertise.

Reputation (Employability Rankings):
QUT is recognised globally for strong graduate employability outcomes and industry-connected learning, consistently ranking among leading Australian universities in business and quantitative disciplines in QS subject rankings.

Experiential Learning (Research, Projects, Internships etc.)

The Bachelor of Business (Finance) / Bachelor of Mathematics at Queensland University of Technology (QUT) is strongly focused on applied, real-world learning where students develop both financial expertise and advanced mathematical modelling skills through practical problem-solving, data analysis, and quantitative decision-making. Throughout the degree, students work with real financial datasets, mathematical models, and industry-standard tools to understand how finance and mathematics are used together in banking, investment, risk management, and analytics-driven industries. QUT ensures students gain hands-on experience through structured projects, collaborative learning, and exposure to professional environments that reflect modern financial and mathematical practice. This learning is supported through specialised facilities, digital tools, and applied assessment tasks:

QUT Securities Dealing Room – A simulated financial market environment where students apply quantitative and financial models to analyse investment decisions and market behaviour in real time.
Mathematical Modelling & Data Analysis Projects – Students work on structured projects involving statistical analysis, optimisation, and financial modelling using real-world datasets.
Bloomberg Professional Software – Industry-standard platform used for financial data analysis, forecasting, risk evaluation, and investment modelling, integrated into finance learning.
Programming & Computational Tools (e.g., MATLAB / R / Python) – Students use computational tools to solve complex mathematical and financial problems, build models, and analyse large datasets.
Industry-Based Case Studies – Collaborative group projects where students apply finance theory and mathematical techniques to solve real business and economic challenges.
Capstone Applied Finance & Mathematics Project – Final-year integrated project where students design and solve advanced quantitative finance problems using mathematical modelling and financial theory.
Work-Integrated Learning Opportunities – Access to internships, industry projects, and professional engagement experiences in finance, analytics, and quantitative roles.
QUT Library & Digital Research Resources – Access to specialist databases, academic journals, and financial/mathematical research tools supporting advanced study and project work.
Academic Mentoring & Industry Engagement – Interaction with finance professionals, data analysts, and mathematicians who provide insights into real-world applications of quantitative finance.

Progression & Future Opportunities

Graduates of the Bachelor of Business (Finance) / Bachelor of Mathematics at Queensland University of Technology (QUT) are well-prepared for high-demand careers where advanced financial reasoning and quantitative problem-solving are essential. The combination of finance and mathematics opens doors to roles in banking, investment, data analytics, actuarial support, and financial modelling: Financial Analyst, Investment Analyst, Risk Analyst, Data Scientist (Finance), Quantitative Analyst.

QUT Career and Employment Services: Dedicated career support including resume building, interview preparation, employer networking events, and one-on-one career coaching to help students transition into finance and analytics careers.
Work Integrated Learning (WIL): Industry-linked projects, internships, and applied learning experiences that connect students directly with employers in banking, consulting, and financial services sectors.
University–Industry Partnerships: Strong engagement with financial institutions, government agencies, and analytics firms, providing students with real-world project experience and professional networking opportunities in Brisbane and beyond.
Graduate Employment Outcomes: QUT graduates in business and quantitative fields are known for strong employability, supported by industry-relevant training and practical experience integrated throughout the degree.
Salary Expectations: Median salary range for finance and quantitative roles typically falls between AUD 75,000 – 140,000+ per year, depending on role specialisation and experience level.
Long-Term Accreditation Value: The finance component aligns with global industry standards (including CFA-aligned knowledge areas), while mathematics strengthens eligibility for advanced analytical and quantitative career pathways.
Graduation Outcomes: Graduates leave with advanced analytical, statistical, and financial modelling skills, enabling them to work in data-driven decision-making roles across global financial markets.

Further Academic Progression:
Graduates can pursue postgraduate study such as a Master of Finance, Master of Business Analytics, Master of Data Science, or specialised qualifications in actuarial studies, economics, or quantitative finance to further enhance career advancement and global opportunities.