伦敦大学学院-数据科学和机器学习硕士

 

伦敦大学学院

Data Science and Machine Learning MSc

数据科学和机器学习硕士

 

课程领域:计算机科学

所属院系:工程科学

 

项目概述
Data science brings together computational and statistical skills for data-driven problem solving. This rapidly expanding area includes deep learning, large-scale data analysis and has applications in e-commerce, search/information retrieval, natural language modelling, finance, bioinformatics and related areas in artificial intelligence.

 

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。这个快速扩张的学科包括深度学习,大范围数据分析和在电子商务、信息搜索、自然语言建模、金融、生物信息学等人工智能的相关领域。

 

课程结构 
必修单元:

Applied Machine Learning (15 credits)

应用机器学习(15学分)

Introduction to Machine Learning (15 credits)

机器学习概述(15学分)

Introduction to Statistical Data Science (15 credits)

统计数据科学概述(15学分)

 

 

选修单元:

第一组选择 (30 学分)

Advanced Deep Learning and Reinforcement Learning (15 credits)

高级深度学习和强度学习(15学分)

Birkbeck College: Cloud Computing (15 credits)

贝克学院:云计算(15学分)

Information Retrieval and Data Mining (15 credits)

信息激活和数据挖掘(15学分)

Introduction to Deep Learning (15 credits)

深度学习概述(15学分)

Machine Vision (15 credits)

机器视野(15学分)

Statistical Natural Language Processing (15 credits)

统计自然语言处理(15学分)

Web Economics (15 credits)

网络经济(15学分)

 

第二组选择( 30 学分)

Applied Bayesian Methods (15 credits)

应用贝利叶方法(15学分)

Decision and Risk (15 credits)

决策和风险(15学分)

Forecasting (15 credits)

预测(15学分)

Statistical Design of Investigations (15 credits)

调研的统计设计(15学分)

 

选修 (45 学分)

Affective Computing and Human-Robot Interaction (15 credits)

计算和人机互动(15学分)

Bioinformatics (15 credits)

生物信息学(15学分)

Computational Modelling for Biomedical Imaging (15 credits)

生物医药成像计算建模(15学分)

Graphical Models (15 credits)

图形模型(15学分)

Stochastic Systems (15 credits)

随机系统(15学分)

Supervised Learning (15 credits)

学习指导(15学分)

 

项目申请要求

GPA:

Bachelor’s degree with a minimum overall average mark of 85%.

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7.5,单项不低于7.0

TOFEL:综合得分103,阅读24 写作30 口语20 听力30

 

其他要求:

Knowledge of mathematical methods including linear algebra and calculus at first-year university level is required. Depending on the modules selected, students undertake assignments that contain programming elements and prior experience in a high-level programming language (R/matlab/python) is useful. Relevant professional experience will also be taken into consideration.

 

达到大一水平的数学方法,包括线性代数和计算是入学要求。根据所选择的课程,学生会有编程相关作业,之前如果从事过高级编程语言(R/Matlab/Python)的学习将有利于该项目的学习。相关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 June 2018

 

就业方向

Data science professionals are increasingly sought after as the integration of statistical and computational analytical tools becomes more essential to organisations. This is a very new degree and information on graduate destinations is not currently available. However, MSc graduates from across the department frequently find roles with major tech and finance companies including:

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。这是一个很新的专业学位,目前毕业生去向还不明了。但是从相关学科院系的毕业生去向可以了解到,以下是主要就业机会的技术和金融公司,包括:

Google Deepmind

谷歌Deepmind

Microsoft Research

微软研究部

Dunnhumby

Dunnhumby

Index Ventures

Index风投

Cisco

思科

Deutsche Bank

德意志银行

IBM

IBM

Morgan Stanley

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