低均分双非院校申请到东北大学-数据分析工程硕士的心路历程
背景介绍
申请难点
留学规划与提升
笔者介绍
肖冰 长春新东方前途出国美国部资深顾问
有着海外实习生活经历，七年业内经验，资深美国留学规划师，从后期制作到前期规划，一步一脚印，稳步向前；关注细节与服务，针对留学过程中每一环节，给出实用建议；愿能以经年积累经验与你分享。我的工作宗旨是：认真地帮助每一位学生实现梦想。
学生背景
本科院校：长春工程学院
本科专业：计算机科学与技术
本科绩点：2.81
托福成绩：102
GRE成绩：无
院校解读
留学方案
案例分析
初次接触学生的时候，眼前一亮，干干净净的小伙子，很灵气，跟学生进行了申请规划沟通后，学生很快的与新东方签订了留学合同，一是对未来申请规划很清晰对方案很认同，二是自己也认可新东方这个大的教育机构品牌，很相信我们的案例及申请经验 而且学生说在新东方一直学习语言课程，有很深的情怀，在这里办理留学很安心；我们签订合同的时候是2019年11月25日，这个时候学生是大三刚开学，前两年的绩点是2.49 没有语言成绩，没有科研实习，但是学生的目标是申请美国前50的院校，根据学生目前的状况及目标。给出学生规划准备建议，建议学生在此期间在学校找老师跟着做项目科研，校外有机会的话也参与，绩点提升是关键，现在剩余的准备时间也是有限的，所以托福语言的学习也至关重要。我们的方案是，早规划早申请，占领先机所以希望在美国院校开放申请的时候就做好定校，然后在科研实习和提升学校绩点及托福学习同时进行，学生整个过程非常的配合。初次我们初选了10所院校，包含的专业涵盖计算机相关的专业方向，最终学生将绩点提升到2.81，托福冲出100达到102分，真是的非常高兴的那一刻，我们定了冲刺 匹配和保底的院校，最终非常兴奋的是，学生的梦校下了录取。申请到了东北大学的数据分析工程硕士，在这个过程中感谢学生的配合，后期老师的努力，最后取得了大家最满意的结果。
心得建议
所有准备美国硕士申请的学生，一定要合理安排好所有考试，申请，找项目找学校找老师及后期制作的时间，如果考虑权衡所有事情及准备时间是很赶的话，建议早些找机构帮助办理，我们就算定校准备材料时间上很合理了，更多的也是在这个过程中学生的配合度，此同学配合度及反馈材料速度很快，这样无形中就节省了我们很多的时间，所以如果学生不是效率极高那必须要提前来做更多的准备，给自己留出足够的时间。建议刚开始有留学想法的学生，或者准备语言考试中的学生，抓紧时间尽早咨询专业的老师，尽早规划，在有限的时间内做最有价值的事情。新东方前途出国的顾问老师们，责任心强，工作经验丰富，非常值得各位家长和同学信任。真心希望用我们的经验来助更多的学生圆梦。
申请团队
院校介绍
东北大学（Northeastern University），简称NU，成立于1898年，是一所国际级私立研究型大学，位于美国东北部马萨诸塞州的波士顿市，被新英格兰院校协会认可。
东北大学有多于35个研究和教育中心。在以往以及现在的教员中，有数位获得古根海姆基金和一位国际天才发明奖获得者，一位美国总统的民主党候选人和一位普利策奖获得者。
东北大学是世界上最先实行带薪实习项目的大学之一，与国内及国际上很多知名且在该项目中非盈利的合作伙伴，包括主流纸媒和电视节目、国际律所、银行、政府机构和企业，很多世界500强的公司。每年约有5000名学生加入到2500余家雇主，参与到带薪实习项目中来。
美国USNEWS综合大学 2020排名40位。
项目介绍
https://www.northeastern.edu/graduate/program/master-of-science-in-data-analytics-engineering-14810/
项目概况
At A Glance
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.
This degree program seeks to prepare students for a comprehensive list of tasks including collecting, storing, processing and analyzing data, reporting statistics and patterns, drawing conclusions and insights, and making actionable recommendations.
Program Details
Tuition & Financial Aid
Total tuition for the program is $53200*.
Deadlines
|
Deadline for international applicants (outside the U.S.): |
May 15 |
课程设置
Curriculum
General Requirements
Core Requirements
IE 6200 - Engineering Probability and Statistics
4.00
IE 6600 - Computation and Visualization for Analytics
4.00
IE 6700 - Data Management for Analytics
4.00
IE 7275 - Data Mining in Engineering
4.00
IE 7280 - Statistical Methods in Engineering
4.00
OR 6205 - Deterministic Operations Research
4.00
Options
Complete one of the following options:
Coursework Option
Complete 8 semester hours from the course list below.
Project Option
IE 7945 - Master’s Project
4.00
Complete 4 semester hours from the course list below.
Thesis Option
Complete 8 semester hours of thesis:
IE 7990 - Thesis
1.00 - 8.00
Course List
Business Administration
BUSN 6320 - Business Analytics Fundamentals
1.00
BUSN 6324 - Predictive Analytics for Managers
1.00
BUSN 6340 - Modeling for Business Analytics for Managers
1.00
Civil Engineering and Environmental Engineering
CIVE 7100 - Time Series and Geospatial Data Sciences
4.00
Computer Science
CS 5002 - Discrete Structures
4.00
CS 5004 - Object-Oriented Design
4.00
CS 5006 - Algorithms
2.00
CS 5100 - Foundations of Artificial Intelligence
4.00
CS 5150 - Game Artificial Intelligence
4.00
CS 5200 - Database Management Systems
4.00
CS 5310 - Computer Graphics
4.00
CS 5335 - Robotic Science and Systems
4.00
CS 5330 - Pattern Recognition and Computer Vision
4.00
CS 5800 - Algorithms
4.00
CS 6120 - Natural Language Processing
4.00
CS 6140 - Machine Learning
4.00
CS 6200 - Information Retrieval
4.00
CS 6220 - Data Mining Techniques
4.00
Computer Systems Engineering
CSYE 7250 - Big Data Architecture and Governance
4.00
Criminal Justice
CRIM 7718 - Advanced Data Analysis
4.00
Data Science
DS 5010 - Introduction to Programming for Data Science
4.00
DS 5020 - Introduction to Linear Algebra and Probability for Data Science
4.00
DS 5110 - Introduction to Data Management and Processing
4.00
DS 5220 - Supervised Machine Learning and Learning Theory
4.00
DS 5230 - Unsupervised Machine Learning and Data Mining
4.00
Electrical and Computer Engineering
EECE 5155 - Wireless Sensor Networks and the Internet of Things
4.00
EECE 5639 - Computer Vision
4.00
EECE 5644 - Introduction to Machine Learning and Pattern Recognition
4.00
EECE 7204 - Applied Probability and Stochastic Processes
4.00
EECE 7397 - Advanced Machine Learning
4.00
Engineering Management
EMGT 5220 - Engineering Project Management
4.00
EMGT 6225 - Economic Decision Making
4.00
EMGT 6305 - Financial Management for Engineers
4.00
Health Informatics
HINF 5101 - Introduction to Health Informatics and Health Information Systems
3.00
HINF 5102 - Data Management in Healthcare
3.00
HINF 5200 - Theoretical Foundations in Personal Health Informatics
4.00
HINF 5301 - Personal Health Technologies: Field Deployment and System Evaluation
4.00
HINF 6202 - Business of Healthcare Informatics
3.00
HINF 6240 - Improving the Patient Experience through Informatics
3.00
HINF 6335 - Management Issues in Healthcare Information Technology
3.00
HINF 6400 - Introduction to Health Data Analytics
3.00
Industrial Engineering
IE 5400 - Healthcare Systems Modeling and Analysis
4.00
IE 5630 - Biosensor and Human Behavior Measurement
4.00
IE 6300 - Manufacturing Methods and Processes
4.00
IE 7200 - Supply Chain Engineering
4.00
IE 7215 - Simulation Analysis
4.00
IE 7285 - Statistical Quality Control
4.00
IE 7290 - Reliability Analysis and Risk Assessment
4.00
Information Systems
INFO 6101 - Data Science Engineering with Python
4.00
INFO 6205 - Program Structure and Algorithms
4.00
INFO 6215 - Business Analysis and Information Engineering
4.00
INFO 7275 - Advanced Database Management Systems
4.00
INFO 7290 - Data Warehousing and Business Intelligence
4.00
INFO 7330 - Information Systems for Healthcare-Services Delivery
4.00
INFO 7390 - Advances in Data Sciences and Architecture
4.00
INFO 7610 - Special Topics in Natural Language Engineering Methods and Tools
4.00
Mathematics
MATH 5131 - Introduction to Mathematical Methods and Modeling
4.00
MATH 7234 - Optimization and Complexity
4.00
MATH 7241 - Probability 1
4.00
MATH 7340 - Statistics for Bioinformatics
4.00
MATH 7341 - Probability 2
4.00
MATH 7342 - Mathematical Statistics
4.00
MATH 7343 - Applied Statistics
4.00
MATH 7344 - Regression, ANOVA, and Design
4.00
MATH 7345 - Nonparametric Methods in Statistics
4.00
MATH 7346 - Time Series
4.00
Mechanical Engineering
ME 6201 - Mathematical Methods for Mechanical Engineers 2
4.00
ME 7205 - Advanced Mathematical Methods for Mechanical Engineers
4.00
Operations Research
OR 6205 - Deterministic Operations Research
4.00
OR 6500 - Metaheuristics and Applications
4.00
OR 7230 - Probabilistic Operation Research
4.00
OR 7235 - Inventory Theory
4.00
OR 7240 - Integer and Nonlinear Optimization
4.00
OR 7245 - Network Analysis and Advanced Optimization
4.00
OR 7310 - Logistics, Warehousing, and Scheduling
4.00
OR 7440 - Operations Research Engineering Leadership Challenge Project 1
4.00
Physics
PHYS 5116 - Complex Networks and Applications
4.00
PHYS 7331 - Network Science Data
4.00
PHYS 7332 - Network Science Data 2
4.00
Public Policy and Urban Affairs
INSH 5301 - Introduction to Computational Statistics
4.00
INSH 5302 - Information Design and Visual Analytics
4.00
PPUA 5261 - Dynamic Modeling for Environmental Decision Making
4.00
PPUA 5262 - Big Data for Cities
4.00
PPUA 5263 - Geographic Information Systems for Urban and Regional Policy
4.00
PPUA 7237 - Advanced Spatial Analysis of Urban Systems
4.00
申请要求
Application Checklist
Please note: 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.
Application. The application is to be completed online. (Paper applications are not accepted.)
Application Fee. $75 USD to be paid online by credit card
Note to applicants from Iran: For inquiries related to difficulties and delays regarding payment of the application fee, please send an inquiry and include a copy of your resume/CV via email attachment using the following site: https://coe.northeastern.edu/admissions/help
Two Letters of Recommendation. Letters of recommendation should be from individuals familiar with technical, professional, and personal qualifications
Transcripts. Unofficial copies are required at the time of application submission. Applicants may arrange to mail final, official transcripts to the Graduate School of Engineering after they are admitted, if they are admitted. To upload transcripts to your application properly follow the below steps:
Create scanned versions of your transcripts in PDF format (up to 500 KB in size)
When prompted to do so in the application, upload and attach transcripts to the online application
Requirements:
Scanned transcripts must be readable and include all courses, grades, (i.e. marks, scores, etc.) and credits completed to date.
If available, please ensure that the scanned documents should also include information pertaining to the institution’s grading scale. Typically such grading scale information is on the backside of the documents or is on a separate page. If there is no grading scale readily available, please still upload your transcripts.
International transcripts must be uploaded in English. If transcripts are not in English, please arrange to have official English translations made. Translations provided by applicants themselves are not acceptable.
Foreign credential evaluations of transcripts (such as WES) are not required or needed.
Statement of Purpose.
Resume.
GRE. Applicants may apply with or without reporting test score results. Note that in the past, the GRE was required of most applicants. The requirement has been suspended and will not be required by Northeastern University, although applicants are welcome to submit scores voluntarily. The university’s “test-optional” policy applies to graduate students applying for the 2021-22 academic year. For applicants who would like to apply and voluntarily submit GRE test score results, please arrange to have scores sent through ETS via the institution code 3665. No department code is required. Note that applicants will also have the option to self-report GRE test scores when prompted to do so on the application, and they may also upload copies of their test-taker score reports. See the official Northeastern University announcement regarding this topic for more information.
TOEFL, IELTS, or Duolingo. Applicants who are non-U.S. citizens or non-U.S. permanent residents, regardless of the applicant’s undergraduate language of instruction must submit official TOEFL, IELTS, and/or Duolingo scores.
Waiver:
Applicants are exempt from the TOEFL, IELTS, or Duolingo exam requirement if they hold (or will hold) a degree from an accredited institution located in the United States of America, Canada (excluding Quebec), United Kingdom of Great Britain and Northern Ireland, Ireland, South Africa, Nigeria, Uganda, Australia, or New Zealand.
Minimum Score Requirement:
TOEFL: 79 overall (internet-based)
IELTS: 6.5. overall
Duolingo: 105
Sending Scores:
TOEFL: Send scores via ETS, Institution code is 3665; no department code is needed.
IELTS: Official IELTS score reports should be uploaded as a PDF directly to your application in which the Test Report Form (TRF) number is visible. This number can be found in a text box towards the bottom right of your IELTS score results page. If uploaded correctly, we will verify your IELTS scores online and you will not need to send hard copies of the score report.
Duolingo: Upon completion of the test, please select College of Engineering at Northeastern University to receive your scores
If you do not meet the minimum TOEFL, IELTS, or Duolingo requirements and you are intending to apply to a graduate engineering program at the master of science level, you are encouraged to apply first to Northeastern University’s Global Pathways Program, where you can boost your English language skills and academic knowledge before beginning your engineering coursework.
Eligibility to Apply. Generally to be qualified for admissions consideration, applicants are required to hold (or be pursuing) an undergraduate engineering or technology degree in a closely related major.
Exceptions:
Bioengineering applicants with any engineering or science degree (e.g. Biology, Chemistry) are acceptable.
Chemical Engineering applicants with Biology or Chemistry undergraduate degrees are acceptable.
Data Analytics Engineering applicants who hold a Bachelor’s degree in any of the following fields are academically qualified for admissions consideration: Applied mathematics, mathematics, statistics, physics, chemistry, computer science, or quantitative business (e.g. economics, finance, information systems).
Energy Systems applicants with quantitative business or finance majors are acceptable if candidates also have some background in computer science and calculus.
Engineering Management applicants with mathematics or physics majors with linear algebra and multivariable calculus, or students of any major with the equivalent background in mathematics as an engineering major are acceptable.
Information Systems applicants with any science, engineering, or other technical major are acceptable as long as the candidate provides evidence of technical or programming skills. Information Systems Bridge applicants must be non-STEM majors.
Mechanical Engineering applicants with majors in applied physics are acceptable.
Operations Research applicants with majors in any science discipline including computer science and mathematics are acceptable; other majors considered are economics, business, or other liberal arts with some background in calculus and linear algebra.
Sustainable Building Systems applicants with majors in any engineering, or science degree are acceptable; candidates with majors in architecture or who have some background in the built environment are also considered for admission.
Telecommunication Networks applicants with majors in mathematics, physics, or computer science are acceptable.
