国际学生入学条件
You will be asked to list the institutions you attended, dates of attendance, and any degrees earned. You will be asked to provide any test scores available or dates of any future tests. Graduate applicants with international coursework are required to submit transcripts (academic) and proof of degree (diploma/degree certificate) both in the original-language and an English translation, from all post-secondary schools attended, to Graduate Admissions. Transcripts/grade reports are required from all post-secondary schools attended. The student must have earned at least 30 units of coursework listed on the official program of study with a minimum grade point average of 3.0. Review the graduate requirements by Country web page for country-specific information. Failure to submit the required country-specific documents listed will result in your application being canceled. Official transcripts have been received indicating English as the principal language of instruction. All graduate and post-baccalaureate applicants (regardless of citizenship status) applying to SDSU from an international institution where the medium of instruction was not English must submit one of the following as proof of English proficiency:
TOEFL minimum score of 80 iBT, 550 PBT. IELTS overall score of 6.5 or higher.
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雅思考试总分
6.5
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雅思考试指南
- 雅思总分:6.5
- 托福网考总分:80
- 托福笔试总分:550
- 其他语言考试:PTE minimum score of 58 or higher
CRICOS代码:
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
经济学硕士课程以应用微观经济学和计量经济学课程为核心,为学生提供决策技术和定量分析方面的高级培训。学生学习将分析方法应用于业务和政策问题,使用高级计量经济学方法和计算机软件。实习计划为学生提供了宝贵的工作经验。该计划旨在:为学生提供咨询,国内和跨国公司以及政府机构的职业发展的准备,为学生提供大学水平的教学经验和进入社区大学的教学职位,并为计划入读博士学位的学生提供经济学的高级培训D.程序 以前的研究生受雇于企业和政府的研究和政策导向职位。当地雇主包括咨询公司,圣地亚哥公共事业公司,圣地亚哥地区政府和社区大
Proficiency with advanced microeconomic analysis, including: constrained and unconstrained optimization, comparative statics, market equilibrium, strategy, welfare and policy analysis. Proficiency with advanced econometric data management, analysis, and causal inference methods, including: multiple regression, instrumental variables, panel data methods, and difference-in-differences. The combined application of microeconomic and econometric analysis for academic, private- and public-sector research, including proficiency in data management and statistics with modern software tools.
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