国际学生入学条件
A bachelors degree or equivalent from an accredited college or university.
To submit and complete your application you must upload a PDF file of your unofficial transcript directly to your online application Unofficial transcripts must be in English.
Please ensure that the scanned documents are readable and include all courses grades ie marks scores etc and credits completed to date The scanned documents should also include information about the institutions grading scale If admitted you will need to provide your official transcript For a transcript to be official it must be in a sealed envelope from the transferring college or university.
Other Documents -
Statement of purpose - 500 words minimum.
Letters of recommendation 2 or 3 for graduate programs.
Curriculum vitae CV Resume.
TOEFL 85, IELTS 7, GPA - 3.0
展开 IDP—雅思考试联合主办方
雅思考试总分
7.0
了解更多
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.<br><br>Potential career paths: Systems Analyst, Data Analyst<br>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.<br><br>The Department of Mechanical and Industrial Engineering offers the Master of Science in Data Analytics Engineering in order to meet the current and projected demand for a workforce trained in analytics. While the core courses for this program are offered by the College of Engineering, elective courses can be chosen from diverse disciplines spread across various colleges at Northeastern. The program is designed to enable graduating students to address the growing need for professionals who are trained in advanced data analytics and can transform large streams of data into understandable and actionable information for the purpose of making decisions. The key sectors that require analytics professionals include healthcare, smart manufacturing, supply chain and logistics, national security, defense, banking, finance, marketing, and human resources.
展开