伦敦大学玛丽女王学院金融计算专业 项目网站

Financial Computing

英国 公立 商科

项目背景

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更新时间:2021-10-30

专业排名101

大学伦敦大学玛丽女王学院

开学时间9月

课程学制1年

学费20850.00/GBP

专业介绍

Be a part of the second wave of technological transformation in the financial industry, in particular: the establishment of electronic trading platforms improved risk management and pricing accuracy the high performance computing implications of expanding regulatory requirements. You will study a range of modules offered by the School of Mathematical Sciences and the School of Electronic Engineering and Computer Science. Your maths modules will provide a solid understanding of the principles of mathematical finance, while the modules offered within the School of Electronic Engineering and Computer Science will focus on key aspects of technological implementation. For your dissertation you will choose a research-level topic in financial computing to explore independently. You will critique results from recent journal articles and potentially implement industry-quality code. We offer all students the opportunity to take useful additional qualifications, including the prestigious Bloomberg Market Concepts, and Microsoft Office Specialist.

推荐顾问

世界排名

2020年

101

2019年

151

2018年

151

2017年

151

语言要求

类型
雅思
托福
PTE
Listen
5.5
17
51
Speak
5.5
20
51
Read
5.5
18
51
Write
6
21
57
总分
6.5
92
62

学术要求

含substantial数学科目的专业,如数学,统计,物理,工程,经济,计算机科学

课程设置

Semester A - Compulsory:学期A-必修
 ECS793P Introduction to Object-Oriented Programming:ECS793P面向对象编程简介
 MTH771P Foundations of Mathematical Modelling in Finance:MTH771P金融数学建模基础
 MTH739N Topics in Scientific Computing:科学计算中的MTH739N主题
Semester A - Elective:学期A-选修
Choose any one from::从以下选项中选择任何一个:
 ECS713P Functional Programming:ECS713P函数式编程
 ECS765P Big Data Processing:ECS765P大数据处理
 ECS708P Machine Learning:ECS708P机器学习
Semester B - Compulsory:学期B-必修
 MTH789P Trading and Risk Systems Development:MTH789P交易和风险系统开发
Semester B - Elective:学期B-选修
Choose any three from::从以下任意三个选择:
 MTH773P Advanced Computing in Finance:MTH773P金融高级计算
 ECS769P Advanced Object-Oriented Programming:ECS769P高级面向对象编程
 ECS784P Data Analytics:ECS784P数据分析
 MTH774P Portfolio Theory and Risk Management:MTH774P投资组合理论与风险管理
 MTH772P Stochastic Calculus and Black Scholes Theory:MTH772P随机微积分与布莱克-斯科尔斯理论
The Project:项目
每个理科硕士金融计算专业的学生都需要完成一篇60学分的项目论文。