Melbourne Business School's Master of Applied Econometrics (the application of statistical methods to economic data) is a two-year program that that focuses on the practical application of econometric modelling techniques. It combines coursework and research to equip you with the skills to make economic decisions in a data-driven manner. Advances in information and communications technologies have revolutionised the way data is gathered, fuelling a surge in the demand for graduates with high-level training in data-analysis using econometric techniques. Who is it for? If you are interested in understanding the fiscal responses to macroeconomic conditions, the degree of collusion amongst petrol retailers in Australia, or the impact of trade liberalisation on wage inequality, then The Master of Applied Econometrics is the program for you. It will give you the econometric expertise to answer real-world economic questions, while also providing the flexibility to specialize in areas relating to your career goals. The Master of Applied Econometrics will provide a comprehensive curriculum covering core microeconomics and macroeconomics, and a suite of econometrics offerings including time series analysis, financial econometrics, microeconometrics, macroeconometrics and structural econometric modelling. The Master of Applied Econometrics program consists of 16 semester-length subjects comprising: 9 core subjects 5 electives 2 capstone subjects Employment Outcomes Graduates are likely to be employed in organisations such as banks, government, consulting firms and think tanks as an analyst, data scientist or modelling and insights leader. Our graduates have gone on to some successful and varied careers. These are just some examples: Within 1 year of graduating: Analyst Within 4 years of graduating: Data Scientist Within 6 years of graduating: Modelling and Insights leader Relevant Expertise As a graduate of this degree, you will develop expertise in: Practical applications of econometric modelling techniques Analytical skills in the application of economic theory, knowledge, principles, techniques and data Explaining, applying and critically evaluating the use of econometric models for forecasting, assessing different economic policy and decision making options Applying methods learned to address policy and business decision questions