【斑马博士捷报+录取参考+专业解读】帝国理工学院mperial College London MSc Business Analytics Offer1商业分析理学硕士
恭喜斑马博士客户宝宝斩获Imperial College London Business Aanalytics的offer
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恭喜斑马博士的客户获得Imperial College London (IC) Business Aanalytics 帝国理工学院商业分析理学硕士专业的录取!斑马博士留学中心专门整理了Imperial College London (IC) Business Aanalytics帝国理工学院商业分析理学硕士专业 的专业解读,供大家参考。
录取背景: York University (UK), Accounting and Finance 本科, 均分76, 3段实习 (咨询公司、大公司运营岗位、银行), 无GMAT, 社团活动若干。
OFFER展示:Imperial College London Business Aanalytics帝国理工学院商业分析理学硕士
学校介绍:IC,全称:Imperial College London,帝国理工学院,英国G5顶尖名校,三重认证的商学院之一,地处伦敦,QS世界排名# 8.
专业解读:Our MSc in Business Analytics enables recent graduates and early career professionals to understand the content, importance and relevance of big data problems facing businesses and will be familiar with a variety of statistical, operation research and machine learning techniques needed to solve them.Combining academic rigour and practical relevance, you will learn from experts in our leading faculty how to apply the latest academic thinking and analytical and computing tools to help make business decisions.(摘录自官网)
申请要求:
申请人拥有2:1荣誉学位或同等的国际认可的学士学位,本科为经济、工程、计算机科学、数学、统计学、物理学或定量社会科学的专业背景。
母语非英语的申请人需提供托福总分最低为100分,各单项不低于22分或雅思成绩最低7.0,各单项不低于6.5的语言成绩证明。
主要课程:该专业分为Full-time on-campus和Part-time online两个类型。
Full-time on-campus包括 PRE-STUDY MODULES:Accounting Primer、Finance Primer、Pre-Programme Maths
Full-time on-campus CORE MODULES:
Analytics in Business
Data Structures and Algorithms
Fundamentals of Database Technologies
Machine Learning
Maths and Statistics Foundations for Analysis
Network Analytics
Optimisation and Decision Models
Statistics and Econometrics
Visualisation
Part-time online CORE MODULES :
Accounting and Finance Primers
Analytics in Business
Data Structures and Algorithms
Fundamentals of Database Technologies
Machine Learning
Maths and Statistics Foundations for Analysis
Maths Primer(not assessed)
Network Analytics
Optimisation and Decision Models
Plagiarism Awareness(not assessed)
Statistics and Econometrics
Visualisation
选修课程:
Full-time on-campus:
Part-time online:
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