MSc in Business Analytics
所属信息
基本信息
项目时长
one year申请截止日期
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秋季
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Round1
10月13日 -
Round2
12月8日 -
Round3
2月16日 -
Round4
4月20日
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其他
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其他
秋季Round 5DDL：6月8日
申请信息
GPA要求
80.00
TOEFL要求
100.00 L:20.00 R:20.00 S:20.00
W:20.00
IELTS要求
7.00 L:6.00 R:6.00 S:6.00
W:6.00
成绩单寄送要求
网申上传
推荐信要求
1
文书要求
PS：This should be approximately 500 words in length.
·What skills, qualities and experiences have prepared you to undertake this programme?
·What value do you think you can add to the learning community as part of an internationally diverse group?
·What impact do you hope to make in your future career, and how will this programme contribute to your aspirations?
References：You require one academic or professional reference to complete your application. If you graduated less than two years ago, this should be an academic reference. If you graduated more than two years ago, this should be a professional reference from your current or most recent employer
·What skills, qualities and experiences have prepared you to undertake this programme?
·What value do you think you can add to the learning community as part of an internationally diverse group?
·What impact do you hope to make in your future career, and how will this programme contribute to your aspirations?
References：You require one academic or professional reference to complete your application. If you graduated less than two years ago, this should be an academic reference. If you graduated more than two years ago, this should be a professional reference from your current or most recent employer
工作经验要求
Relevant work experience is not required but may increase your chances of acceptance
Prerequisite
An undergraduate degree in any disciplinary area related to management science, operational research, statistics, econometrics, mathematics, physics, computer science, engineering, or business and management which incorporates a distinct quantitative element is required
Applicant's background should ideally include courses and/or experience gained in topics such as linear algebra, calculus, probability, statistics, and computer programming
Applicant's background should ideally include courses and/or experience gained in topics such as linear algebra, calculus, probability, statistics, and computer programming
