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21秋-新加坡管理大学-应用经济
  • 案例分类:
  • 录取专业:经济学
  • 录取时间:21年3月
  • 奖学金:
  • 申请语言成绩:雅思6.5
  • 申请人GPA:2.9
  • 申请人毕业院校:暨南大学
  • 申请人所学专业:信息技术
  • 录取院校:新加坡管理大学
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MSc in Economics (MSE)

This MSE equips you with a strong core of economic theory and data-analytics skills. Our two tracks in applied economics (AE), econometrics and quantitative economics (EQ) offer you the flexibility to adapt the programme to your needs and interests and give you a comprehensive understanding of global economic issues for strategic decision making.

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暨南大学 信息管理 gpa2.9  雅思6.5  gmat620  有实习
 
 

The Master of Science in Economics (MSE) programme feature a strong yet flexible core. We offer an entry path for students without prior training in economics, tracks that sharpen your focus and a wide range of electives in your chosen track. You will also enjoy the flexibility to take modules outside your track or programme for a fulfilling, personalised programme. The programme is available for part-time or full-time study.

  • Applied Economics (full-time or part-time)
  • Econometrics and Quantitative Economics  (full-time, with part-time option if able to take weekday daytime classes)

Part-time study is available only to Singapore-based students (citizens, permanent residents, and those holding valid employment passes).

 

Programme Structure

The MSE is a 16 course unit (CU) programme. Students with strong economics knowledge and quantitative techniques may take the accelerated pathway, starting with the Core. Students from other disciplines who do not have the necessary training in economics theory and quantitative techniques are required to complete the Foundation component before proceeding with the rest of the programme.

*Exempted for students on accelerated pathway and students from partner universities.
From AY21/22, each course unit (CU) comprises ten 3hr sessions. The academic requirement for graduation is a Cumulative Grade Point Average (CGPA) of at least 2.50 out of 4.00.

Foundations (4CU)

The Foundations component is intended for strong students from non-Economics backgrounds who do not have the necessary training in economic theory and advanced quantitative techniques required by the MSE. Students with strong economics knowledge and advanced quantitative techniques are exempted from this component.

MSE Programme Foundations

Choose four: Principles of Economics 1, Principles of Economics 2, Statistical Inference, Mathematics for Economics, Further Mathematics for Economics, Finance, Financial Modelling and Analytics

 

Core (3CU)

The MSE Core equips students with rigorous knowledge in microeconomics, macroeconomics, and econometrics, which provides the analytical framework on which sub-areas of economics are built. Students with very strong quantitative skills may apply to take the PhD level versions of these courses.

MSE Programme Core

Microeconomic Analysis, Macroeconomic Analysis, Econometric Analysis
[EQ track may apply to take PhD-level equivalent courses]

 

Track Electives (5CU)

Choose 5CU from single track to attain track status. Not all courses are available every year, course titles and content subject to change, new courses added from time to time.

Applied Economics

Econometrics and Quantitative Economics

Health Economics
Money, Banking, and International Finance
Macroeconomic Accounts and Public Finance
Economics of Growth, Poverty and Inequality
Politics, Institutions, and Economics
International Trade: Theory and Policy
Behavioural Economics
Economics of Competition Law
Economics of Privatisation and Regulation
Economic Growth in Asia
Environmental Economics
Economics of Competition Law

Spatial and Panel Econometrics
Time Series Econometrics
Data Sampling
Econometric Methods for Programme Evaluation
Machine Learning in Economics and Finance
Financial Econometrics
Continuous Time Financial Economics
Mathematical Methods for Economic Dynamics
Advanced Microeconomic Analysis
Empirical Industrial Economics
Macroeconomics 1 PhD
Selection of PhD Advanced Research Topics (ARTs)

 

Open (2CU)

To enhance the academic experience and holistic development of the postgraduate students, flexibility is given to take courses from any track. Up to 1CU may be taken from other SMU Masters programmes. The recommended courses from other programmes for the respective tracks are as follows:

AE : Business Law, Strategic Management, Python Programming and Data Analysis
EQ : Python Programming and Data Analysis

Other courses from other programmes that may be available include:
Digital Banking & Trends (MITB), Information Tech Law (Asian & Global Trends in Information Tech Law) (LLM), Blockchain & Governance (LLM), Managing for Value Creation (MSA), Design Thinking for Opportunity Recognition & Innovation (MI), Data Management (MITB), Intellectual Property Law and Policy: International and Asian Perspectives (LLM), Law of Mergers and Acquisitions (LLM), Accounting Information Systems (MSA), Strategic Communication Management (MCM).

 

Industry (1CU)

To satisfy the industry requirement, students have the flexibility to choose one of the following options:

  • 10-week Internship
  • Capstone Project

Students with relevant prior industry experience are exempted from the industry requirement, and may replace the internship requirement with an elective course.

 

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