伦敦大学学院-数据科学硕士

伦敦大学学院

Data Science MSc

数据科学硕士

课程领域:数据科学

所属院系:数学和物理科学

Data Sciences MSc

数据科学硕士

项目概述

Data science brings together computational and statistical skills for data-driven problem solving, which is in increasing demand in fields such as marketing, pharmaceutics, finance and management. This MSc will equip students with the analytical tools to design sophisticated technical solutions using modern computational methods and with an emphasis on rigorous statistical thinking.

数据科学将解决基于数据问题的计算机和统计技能结合到一起,数据科学目前在例如市场、医药、金融和管理等行业都有增长的需求。该项目能够提供学生分析工具来设计复杂的技术解决方案,使用现代计算机工具,以及强调严谨的统计思维。

课程结构

必修单元:

Introduction to Statistical Data Science

统计数据科学概论

Introduction to Machine Learning

机器学习概论

Statistical Design of Investigations

调查的统计设计

Statistical Computing

统计计算

选修单元:

统计科学部分:

Applied Bayesian Methods

应用贝叶斯方法

Decision & Risk

决策和风险

Factorial Experimentation

析因实验

Forecasting

预测

Quantitative Modelling of Operational Risk and Insurance Analytics

运营风险和保险分析的量化建模

Selected Topics in Statistics

统计学选择主题

Stochastic Methods in Finance I

金融学中的随机方法I

Stochastic Methods in Finance II

金融学中的随机方法II

Stochastic Systems

随机系统

计算机科学部分:

Affective Computing and Human-Robot Interaction

有效的计算机和人-机器人互动

Graphical Models

图形模型

Statistical Natural Language Processing

统计自然语言处理

Information Retrieval & Data Mining

信息重启和数据挖掘

项目申请要求

GPA:

Bachelor's degree with a minimum overall average mark of85%.

本科学士学位综合均分不低于85%。

语言成绩要求:

IELTS:综合得分7.0,单项不低于6.5

TOFEL:综合得分100,阅读24 写作30 口语20 听力30

其他要求:

Knowledge of mathematical methods and linear algebra at university level and familiarity with introductory probability and statistics is required. Relevant professional experience will also be taken into consideration.

应该具备的大学水平的知识:数学方法、线性代数;熟悉概率和统计学概论。相应的工作经验也会纳入考虑。

学费和申请日期

2018/19学年学费

海外学生:26,670英镑

2018/19学年申请日期:

开放申请:16 October 2017

结束申请:15 March 2018

就业方向

Data science professionals are likely to be increasingly sought after as the integration of statistical and computational analytical tools becomes essential in all kinds of organisations and enterprises. A thorough understanding of the fundamentals is to be expected from the best practitioners. For instance, in applications in marketing, the healthcare industry and banking, computational skills should should be accompanied by statistical expertise at graduate level. Data scientists need a broad background knowledge so that they will be able to adapt to rapidly evolving challenges. Recent graduates from the related Statistics MSc have been offered positions as research analysts or consultants, and job opportunities in these areas are increasing.

数据科学专家结合统计和计算机分析工具,越来越受到各行业组织和公司的青睐。大家都期待能得到最优秀的从业者给出的对基本面最透彻的分析。例如,在应用到市场,健康管理行业,银行业,计算机技能应该结合统计学的知识,并达到研究生水平。数据科学家需要广阔的背景知识,这样他们能够适应快速发展的挑战。近期的统计学专业的研究生获得的职位有研究分析师、顾问,并且这些行业的就业机会在不断增加。

Management Associate, HSBC

管理助理,HSBC

Statistical Analyst, Nielsen

统计分析师,尼尔森

PhD in Statistics, UCL

统计学博士,UCL

Mortgage Specialist, Citibank

按揭专员,花旗银行

Research Assistant Statistician, Cambridge Institute of Public Health

研究助理统计员,剑桥公共健康研究院

UCL 看过来

  • 发表于:
  • 原文链接:http://kuaibao.qq.com/s/20180117A0AFIW00?refer=cp_1026

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