Master of Applied Econometrics
Course code: 3822 ~ Course abbreviation: MAppEconometrics ~ Total credit points required: 72 ~ 1.5 years full-time, 3 years part-time ~ Managing faculty: Business and Economics
Study mode and course location
This course offers a wide breadth of knowledge and provides the quantitative skills and expertise required to carry out regression analysis, forecasting and financial market analysis. Students acquire the skills to take responsibility for designing and implementing applied econometric projects and the ability to communicate the results to wider audiences. These skills are extremely attractive to the business and finance community.
The learning goals associated with this course are to: understand regression analysis, forecasting, time series analysis and practical and theoretical econometrics; develop skills in analysing data and drawing conclusions about the future of public or private institutions; develop the capacity to assess strength and weaknesses of econometric techniques and their role in applied econometric analysis; develop skills and attitudes to take responsibility for designing and implementing applied econometric projects, participating effectively in a team and communicating the outcome to wider audiences; extend skills to undertake an independent major research project that contributes to the knowledge of the subject, developing communication skills through an oral presentation about the research and write-up of the results, and providing a base to undertake higher degree research programs.
Students must complete a range of core units in Econometrics, a research component, and some elective units.
(a) Students must complete six units (36 points) from the following list:
(b) Students must complete six units (36 points) as follows:
(i) ETF5555 Minor thesis (24 points)
(ii) two elective units (12 points) from 9000-level or 5000-level graduate units subject to the following conditions:
(i) ETF5550 Research project (12 points)
(ii) four elective units (24 points) from 9000-level or 5000-level graduate units subject to the following conditions:
Additional degree requirements:
Department of Econometrics and Business Statistics: telephone +61 3 9903 2559; email: email@example.com
Professor Param Silvapulle