Bachelors of Computer Science / Economics

4 Years On Campus Bachelors Program

University of Queensland

Program Overview

The Bachelor of Computer Science / Economics at The University of Queensland offers a unique dual-degree combination that equips you with strong technical computing skills alongside deep economic reasoning and analysis. It’s ideal if you’re curious about how technology drives markets and want to work at the intersection of code, data and economic decision-making.

Curriculum structure
Year 1
In your first year you’ll build fundamental foundations in both computing and economics. For example, you’ll study courses such as Introduction to Software Engineering, Programming in the Large, Introductory Microeconomics and Introductory Macroeconomics, laying down your programming, system-thinking and basic economic theory.
Year 2
In the second year you’ll deepen both fields: computing courses like Introduction to Computer Systems appear alongside economics courses such as Intermediate Microeconomics, Intermediate Macroeconomics and Introductory Econometrics, allowing you to link how systems work with how markets and policies behave.
Year 3
Year three shifts into more advanced territory: computing courses like Theory of Computing and Algorithms & Data Structures challenge your logical and problem-solving skills, while your economics major begins with core courses such as Cost-Benefit Analysis and further electives aligned with your major.
Year 4
In the final year you’ll tackle project-based and capstone work (for example a design computing studio) within the computing stream, and you’ll complete major-specific economics courses (for example from Advanced Microeconomics, Econometrics, or Financial Systems depending on your major choice) that pull together your tech and economics understanding.

Focus areas
The program focuses on computational thinking, software engineering, algorithms and data structures on the one hand; and on economic modelling, quantitative analysis, market design, policy evaluation and financial systems on the other.

Learning outcomes
Graduates will be able to design, implement and analyse computing systems and algorithms; understand and apply economic theory and quantitative tools to real-world economic, financial or policy settings; integrate computing and economic perspectives to solve complex interdisciplinary problems.

Professional alignment (accreditation)
This dual-degree is accredited by the Australian Computer Society for the computing component. 

Reputation (employability rankings)
The program is delivered by a university ranked #1 in Queensland for both computer science & information systems and for economics & econometrics in the latest Quacquarelli Symonds (QS) World University Rankings. 

Experiential Learning (Research, Projects, Internships etc.)

If you’re considering the Bachelor of Computer Science / Economics at The University of Queensland (UQ), you’re looking at a program that goes far beyond classroom theory—it’s designed to give you real, hands-on experience and practical skills you can apply from day one.

Here’s how UQ helps you gain those skills: you’ll design, develop, and analyse computer-based systems while also learning how economic decisions shape business, markets, trade, and government.

UQ focuses on technology that matters—you’ll work with programming, system design, logic, and data analysis, while also strengthening your economic reasoning and decision-making tools.

The program is built in close consultation with industry, meaning what you study reflects the latest technologies, tools, and professional practices. You’ll be learning in an environment where Computer Science teaching programs are aligned with real-world needs and designed to prepare you for the job market.

You’ll also have access to UQ’s excellent facilities—modern computing labs, collaborative learning spaces, well-equipped workshops, and strong research groups in economics—all set on a vibrant campus that supports both creative and analytical learners.

Here’s what experiential learning looks like in this dual program:

  • On the Computer Science side, you’ll take core courses like Introduction to Software Engineering, Programming in the Large, and Algorithms & Data Structures—giving you progressive, practical experience as you move through your degree.

  • On the Economics side, you’ll explore subjects such as Tools of Economic Analysis, Cost-Benefit Analysis, and Introductory Econometrics, developing a toolkit to evaluate real-world policy and business decisions.

There are also opportunities for work-integrated learning and professional placements within the Economics major, where you can gain workplace experience and build valuable professional networks.

The program planner is designed to guide you step-by-step—from the fundamentals to advanced topics—so your learning builds logically and practically, not just through lectures but through hands-on projects and problem-solving.

And because UQ values a global perspective, you’ll have the chance to study abroad or take part in international exchange programs, expanding your experience beyond Brisbane and adding an international edge to your degree.

Ultimately, this dual program is industry-informed and future-focused—you’ll graduate ready to design innovative systems, apply data-driven thinking, and make an impact in both the tech and economic worlds.

Progression & Future Opportunities

 

Progression & Future Opportunities

At UQ, your career journey starts from day one. The university’s dedicated Career, Employment & Transitions team helps you prepare for life after graduation with tailored résumé workshops, mock interviews, networking events, and on-campus job opportunities.

UQ graduates consistently enjoy strong employment outcomes. In fact, around 92% of UQ undergraduates are employed full-time within three years of completing their degree. Typical starting salaries for graduates sit around AUD 58,000 for males and AUD 52,000 for females, reflecting the solid demand for UQ talent across industries.

The Bachelor of Computer Science / Economics offers a powerful blend of skills—combining technical computing and analytical thinking with economic modelling and business insight. This mix is especially valued in fields like fintech, consulting, data analytics, and government policy, where professionals who can connect technology and strategy are in high demand.

UQ’s School of Information Technology & Electrical Engineering maintains strong industry connections, giving students access to guest lectures, internships, and career pathways with leading tech companies. The demand for technology professionals in Queensland continues to grow rapidly, with projections suggesting more than 180,000 tech workers will be needed by 2030—a promising sign for future graduates.

As one of Australia’s Group of Eight universities, UQ’s reputation and international recognition add long-term value to your qualification. Employers worldwide respect UQ degrees for their academic rigour and practical relevance, ensuring your career options extend well beyond Australia.

Career outcomes include:

  • Software Engineer – designing, developing, and testing software systems

  • Data Analyst / Data Scientist – interpreting complex data sets to guide decisions

  • Business Intelligence Consultant – combining computing and economic insights to shape business strategies

  • Management Consultant (Tech or Strategy) – advising organisations using your technical and analytical expertise

Further Academic Progression
If you choose to continue your studies, UQ offers a range of postgraduate options such as the Master of Computer Science, Master of Data Science, or Master of Economics. These advanced programs allow you to specialise further, pursue research, or step into leadership roles that shape the future of technology and economics.

Program Key Stats

$46,528
$11,535

Febr Intake : 30th NovJuly Intake : 30th Apr


40 %
No
Yes

Eligibility Criteria

2.8
32
70

N/A
N/A
6.5
87
84

Additional Information & Requirements

Career Options

  • Software Engineer
  • Data Analyst
  • Business Analyst
  • Data Scientist
  • Financial Analyst
  • Quantitative Analyst
  • Machine Learning Engineer
  • Product Manager
  • IT Consultant
  • Cybersecurity Analyst
  • Economic Researcher
  • Risk Analyst
  • Business Intelligence Developer
  • Systems Analyst
  • Policy Analyst

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