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课程名称:伦敦政治经济学院应用数学硕士课程
课程类型:硕士课程-数学 / 统计 / 精算硕士
学校名称:伦敦政治经济学院 LSE
学校位置:伦敦
课程长度:12个月
开学日期:10月
 

介绍:

入学要求 Requirement:

学术要求: 2:1 degree in mathematically based subject, or a scientific, engineering, or social science subject with excellent mathematics background

英语要求:IELTS 7.0 or internet-based TOEFL 107

学费 Tuition Fee:2012/2013  £16,512

 
课程特征 Course Features:

This programme is based in the Department of Mathematics and offers the following benefits:
Study in a leading university, renowned for its research and teaching programmes.
Increased knowledge of mathematics, in particular in the following areas: algorithms, game theory, discrete mathematics, probability and stochastics, optimisation (dependent on option choices).
Emphasis on algorithms and computational techniques.
Opportunity to improve personal skills, including logical reasoning, quantitative analysis, independent learning and the presentation of technical results.
Preparation for a range of careers in industry, finance, government and research.
Opportunity to take courses in related disciplines such as economics, finance, operational research and statistics.

 
课程内容 Course Content :

Compulsory courses
(* half unit)
Algorithms and Computation*
Dissertation in Mathematics

Options 

Mathematics
- choose three from:
Computational Learning Theory and Neural Networks*
Continuous-Time Optimisation*
Discrete Mathematics and Complexity*
Functional Analysis and its Applications* 
Games of Incomplete Information*
Game Theory*
Information, Communication and Cryptography*
Preferences, Optimal Portfolio Choice, and Equilibrium* 
Probability and Measure*
Search Games*
Stochastic Analysis*

Social Sciences - choose to the value of one full unit from:
Advanced Microeconomics 
Econometric Analysis 
Derivatives*
Financial Risk Analysis*
Quantitative Methods for Finance and Risk Analysis* 
Principles of Finance 
Social Choice Theory and Democracy* 
Combinatorial Optimisation* 
Auctions and Game Theory* 
Computer Modelling: Applied Statistics and Simulation*  
Mathematical Programming: Theory and Algorithms* 
Model Building in Mathematical Programming*
Modelling in Applied Statistics and Simulation* 
Techniques of Operational Research*
Non-Linear Dynamics and the Analysis of Real Time Series* 
Stochastic Processes* 
Time Series* 

Another half unit in mathematics or any other course with the agreement of the MSc Programme Director and the teacher responsible for the course

 
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