国际学生入学条件
In order to be minimally qualified to pursue admission through the Graduate School of Engineering, a candidate must have successfully completed or is in the process of completing an undergraduate bachelors degree from a regionally accredited U.S. college or university, or its equivalent from a foreign college or university. Any offer of admission is contingent upon a candidate's successful completion of an undergraduate bachelors degree from a regionally accredited U.S. college or university, or its equivalent from a foreign college or university.
Transcripts. Applicants should (a) acquire official or unofficial copies of their transcripts from each college or university that they have attended (if they do not already have such copies), (b) create scanned versions of same in PDF format (up to 500 KB in size), and (c) when prompted to do so in the application, upload and attach them to the online application.
Two Letters of Recommendation. Letters of recommendation should be from individuals familiar with technical, professional, and personal qualifications.
$75 application fee
Two letters of recommendation
Transcripts from all institutions attended
GRE is not required for terms starting during the 2021-2022 or the 2022-2023 academic years
Statement of purpose
Resume
TOEFL, IELTS, or Duolingo for international applicants
TOEFL 85 / IELTS 7, GPA for Degree Progression 3.0
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IDP—雅思考试联合主办方
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雅思考试总分
7.0
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雅思考试指南
- 雅思总分:7
- 托福网考总分:85
- 托福笔试总分:160
- 其他语言考试:NA
CRICOS代码:
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
The Master of Science in Data Analytics Engineering offers students an opportunity to train for industry jobs or to acquire rigorous analytical skills and research experience to prepare for a doctoral program in health, security, and sustainability at Northeastern University. If you want to earn your master's in Data Analytics Engineering at Northeastern, Global Pathways can help you succeed through rigorous language training, cultural activities, and support. Through Northeastern's interdisciplinary Master of Science, MS, Data Analytics Engineering program, you will build on your existing engineering or science foundation to gain employment at businesses of all kinds to improve their products, processes, systems, and enterprises, all through the power of optimization, statistics, machine learning, and visualization.
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