The Master of Applied Economics at UNSW is designed for graduates and professionals who want to build strong analytical, quantitative and data-driven economics skills and apply them to real-world challenges in business, government and public policy. Students develop a foundation in microeconomics, macroeconomics, econometrics, business economics and quantitative methods, then tailor their studies through economics electives and a practical Economics Practicum.
Curriculum Structure
Year 1: Students establish their core economics and quantitative foundation through Microeconomics, Macroeconomics, Econometrics, Business Economics and Quantitative Methods for Business. These courses develop the ability to analyse markets, economic activity, data and business problems using rigorous economic frameworks.
Year 2: Students deepen their expertise through prescribed economics electives and complete the Economics Practicum and Reflections on Practicum through the Economist’s Lens. Elective options include Financial Econometrics, Advanced Microeconomic Analysis and Politics and Economics, allowing students to develop expertise aligned with their professional interests while applying economic analysis to real-world challenges.
Focus Areas: Microeconomics, macroeconomics, econometrics, business economics, quantitative methods, financial economics, public policy, behavioural and organisational economics, international economics and trade.
Learning Outcomes: Analytical skills: interpret economic data and evidence; quantitative skills: model and evaluate economic outcomes; problem-solving: apply economic frameworks to complex real-world challenges; communication: present evidence-based recommendations clearly to different audiences.
Professional Alignment (Accreditation): Professional preparation: the program develops the analytical and quantitative capabilities used by professional economists across financial institutions, consulting firms, government agencies and corporate organisations; accreditation: no separate professional accreditation is stated on the official UNSW program page.
Reputation (Employability Rankings): Global ranking: UNSW is ranked among the world's top 20 universities in the QS World University Rankings 2027; Business School: UNSW Business School is ranked #1 in Sydney for Business & Management in the QS World University Rankings by Subject 2026, supporting the program's strong academic and professional environment.
The Master of Applied Economics at UNSW combines economic theory with practical, data-driven problem solving through core quantitative subjects, prescribed electives and a dedicated Economics Practicum. Students can apply their accumulated economics knowledge to a real-world project for a local or overseas enterprise, developing practical business, analytical and leadership capabilities. UNSW also provides access to Stata and RStudio, supporting statistical analysis, data management, regression and quantitative work within the Business School.
Students can build practical experience through these program-specific opportunities:
The Master of Applied Economics prepares graduates to use economic analysis, quantitative methods and data-driven problem-solving across finance, consulting, government, policy and corporate environments. Its applied focus and Economics Practicum provide a pathway into professional roles such as Economist, Economic Consultant, Data Analyst, and Policy Analyst, with UNSW highlighting demand across data, consulting and policy-related careers.
Further Academic Progression: After completing the Master of Applied Economics, students can pursue further postgraduate research in economics and related fields, including a PhD in Economics for an academic or advanced research career. UNSW’s School of Economics provides doctoral research pathways and has research strengths spanning economic theory, applied economics and econometrics; students can also pursue specialised postgraduate study aligned with areas such as financial economics, public policy, behavioural economics, international economics and quantitative methods.



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