劳里埃大学数学硕士专业 一门与数字打交道的学科!
数学一直给人一种枯燥、乏味的学科，每年都与各种数字打交道，其实，数学是一门实用性非常强的学科，就业范围也非常广泛，比如：医学、化学、制药……从而社会对于数学人才的需求量持续上涨，为了顺应时代的需求，劳里埃大学就开设了数学硕士专业，下面，就随小编来看看吧，希望对大家有所帮助：
Mathematics (MSc)
数学硕士(MSc)是纯数学、应用数学和统计学的独特结合，为科学、金融和新技术的数学建模应用提供实践经验。
该课程的主要目标是为您提供先进和需求的技能，以开发和分析适用于多个学科的数学模型。你可以通过写论文或研究项目来获得研究经验，在那里你将深入研究现代问题。
课程设置：
分析和几何
必修课
MA618 - Differential Geometry
选修课
MA550 – Real Analysis
MA650 - Measure and Integration
额外的课程方向:
MA504 - Introduction to Complex Analysis
*MA550 - Real Analysis
MA555 - Continuous and Discrete Transforms
MA619 - Variational and Geometric Methods in Applied Mathematics
MA622 – Advanced Linear Algeb
*MA650 – Measure and Integration
MA655 - Advanced Partial Differential Equations and Applications
计算金融学
必修课
MA671 - Computational Methods in Finance
ST674 - Monte Carlo and Simulation Methods
额外的课程方向:
MA507 - Numerical Analysis
MA571 - Computational Methods for Data Analysis
MA506 - Partial Differential Equations I
MA555 - Continuous and Discrete Transforms
MA570 - Financial Mathematics in Discrete Time
MA572 - Introduction to Optimization
MA606 - Partial Differential Equations II
MA632 - Optimization
MA651 - Stochastic Analysis
MA670 - Financial Modelling and Derivative Pricing in Continuous Time
MA677 - Quantitative Financial Risk Management
ST562 - Regression Analysis
ST662 - Advanced Regression Analysis
ST663 - Computational Statistics
ST673 - Financial Data Analysis
ST690 - Stochastic Processes
ST691 - Survival Analysis
ST692 - Time Series Analysis
ST694 - Statistical Learning
Discrete Mathematics and Algebra
必修课
选一门：
MA523 - Introduction to Groups and Ring
MA538 - Graph Theory
选一门：
MA625 - Group Theory
MA675 - Ring, Field, and Galois Theory
额外的课程方向
MA504 - Introduction to Complex Analysis
MA517 - Number Theory
*MA523 - Introduction to Groups and Rings
*MA538 - Graph Theory
MA572 - Introduction to Optimization
MA622 - Advanced Linear Algebra
*MA625 - Group Theory
MA632 - Optimization
*MA675 - Ring, Field and Galois Theory
Financial Mathematics and Risk Management
必修课
选两门：
MA570 - Financial Mathematics in Discrete Time
MA670 - Financial Modelling and Derivative Pricing in Continuous Time
MA677 - Quantitative Financial Risk Management
额外的课程方向:
选一门
MA507-Numerical Analysis
MA571- Computational Methods for Data Analysis
MA506 - Partial Differential Equations I
MA555 - Continuous and Discrete Transforms
*MA570 - Financial Mathematics in Discrete Time
MA572 - Introduction to Optimization
MA606 - Partial Differential Equations II
MA632 - Optimization
MA635 - Game Theory
MA651 - Stochastic Analysis
*MA670 - Financial Modelling and Derivative Pricing in Continuous Time
MA671 - Computational Methods in Finance
*MA677 - Quantitative Financial Risk Management
ST559 - Intermediate Probability Theory
ST562 - Regression Analysis
ST662 - Advanced Regression Analysis
ST663 - Computational Statistics
ST673 - Financial Data Analysis
ST674 - Monte Carlo and Simulation Methods
ST690 - Stochastic Processes
ST691 - Survival Analysis
ST692 - Time Series Analysis
ST694 - Statistical Learning
Mathematical Modelling
必修课
选一门
MA507 - Numerical Analysis
MA571 - Computational Methods for Data Analysis
MA606 - Partial Differential Equations II
MA680 – Seminar in Mathematical Modelling in Finance and Science
额外的课程方向:
MA505 - Ordinary Differential Equations
MA506 - Partial Differential Equations I
MA555 - Continuous and Discrete Transforms
MA572 - Introduction to Optimization
MA619 - Variational and Geometric Methods in Applied Mathematics
MA651 - Stochastic Analysis
MA660 - Dynamical Systems
MA664 - Mathematical Biology
ST674 - Monte Carlo and Simulation Methods
Statistics and Data Analytics
必修课
选两门
ST662 – Advanced Regression Analysis
ST692 – Time Series Analysis
ST694 – Statistical Learning
额外的课程方向:
选一门
MA507 - Numerical Analysis
MA571 - Computational Methods for Data Analysis
MA555 - Continuous and Discrete Transforms
MA572 - Introduction to Optimization
MA632 - Optimization
MA651 - Stochastic Analysis
MA677 - Quantitative Financial Risk Management
ST544 - Introduction to Experimental Design and Survey Sampling
ST559 - Intermediate Probability Theory
ST561 - Theory of Statistics
ST562 - Regression Analysis
*ST662 - Advanced Regression Analysis
ST663 - Computational Statistics
ST673 - Financial Data Analysis
ST674 - Monte Carlo and Simulation Methods
ST690 - Stochastic Processes
ST691 - Survival Analysis
*ST692 - Time Series Analysis
*ST694 - Statistical Learning
申请条件：
4年数学或相关领域的荣誉本科学位(或同等学历)，包括高等微积分、概率和统计、代数等课程。
在你的本科学习的最后一年，平均成绩不低于B+，所有数学和统计课程的累积平均成绩为B+。
所有本科生和研究生的成绩单。
一份完整的意向声明。
请填写以下部分，字数约1000字(共1000字)，并将此表格连同入学申请一起提交:
1. 解释你的学术和研究兴趣，以及它们如何与本课程和首选的导师相匹配(如果适用)。包括你的学术背景和想要进行研究生水平学习的原因的总结。
2. 完成这个学位后，你的职业计划和长期目标是什么?
3. 说明你所接受的任何相关培训(学术或非学术)或经验(领域或工作经验)，并描述它如何适用于你计划的学习。
4. 提供任何其他你认为可能与招生委员会相关和感兴趣的信息。
你的学术和工作经历的简历。包括你的出版历史和学术论文活动，以及任何其他你认为会引起招生委员会兴趣的信息。
你的学术作品的样本(10-20页)。这可能是一篇大四本科生的论文。
需要两份学术推荐信。
语言要求：
托福网考/托福网考家庭版:不低于89分，口语、写作、阅读、听力各项技能不低于21分。
纸笔托福:至少573。
雅思:最低7分。
PTE:最低60分。
综上所述，以上讲的就是关于劳里埃大学数学硕士专业的相关问题介绍，希望能给各位赴加拿大留学的学子们指点迷津。近年来，赴加拿大留学一直是广大学生最热门的话题，同时，很多学生对于签证的办理、院校的选择、就业的前景、学习的费用等诸多问题困扰不断，别担心，IDP留学专家可以为你排忧解难，同时，更多关于赴加拿大留学的相关资讯在等着你，绝对让你“浏览”忘返。在此，衷心祝愿各位学子们能够顺利奔赴自己心目中理想的学校并且学业有成!
