MEng in Operations Research and Information Engineering (Ithaca)

所属信息

所属学校
康奈尔大学
所属院校
Cornell College of Engineering

基本信息

项目时长
2 semesters

申请截止日期

  • 秋季
  • 常规
    12/1(前一年)
  • 其他
  • 春季
    如果申请spring,需要和M.Eng Director沟通

申请信息

托福/GRE Code
2098

GPA要求

2.70

TOEFL要求

77.00 L:15.00 R:20.00 S:22.00 W:20.00

IELTS要求

7.00

成绩单寄送要求

网申上传

成绩单邮寄地址

申请时不需要,一月份需要上传秋季成绩单,毕业后需要提供正式成绩单。上传时如protected pdf上传不成功,可以上传截图

推荐信要求

2-3 (2 academic, 1 job, 最好提及适合你concentrations的skills。上传了2封推荐信就会审阅申请,不接受interfolio)

文书要求

Academic Statement of Purpose (≤1000 words)
This forward-looking statement should describe your objectives in pursuing the Master of Engineering (M.Eng) degree program in ORIE. Please state specific reasons why you wish to be considered for your first-choice concentration. Include why the Cornell ORIE M.Eng is a good fit for you, what you intend to study and why, how you will apply what you learn in your first job after graduation, and how you will enrich the learning of your peers by sharing your education and experience. Use this as an opportunity to demonstrate that you have researched the Cornell ORIE M.Eng program and have developed a plan to include it in your professional development. Do not repeat information we can easily read from your resume and transcript.
为何适合您、您打算学习什么以及为什么、您将如何在毕业后的第一份工作中运用所学知识以及如何通过分享您的教育和经验来丰富学习。
Personal Statement (≤1000 words)
This reflective statement should describe your personal journey and the influence it has had on your decision to pursue an M.Eng degree in ORIE, and how it has prepared you to contribute to Cornell's collaborative problem-solving environment. It is an opportunity to highlight any lived experiences or interactions - including successes, failures, conflicts, injustices, or journeys of self-discovery - that have significantly shaped or serve to demonstrate your problem solving, communication, collaboration and teamwork, leadership, maturity and self awareness, endurance, and/or resilience.
应描述您的个人经历以及它对您决定攻读 ORIE 工程硕士学位的影响,以及它如何帮助您为康奈尔的协作解决问题环境做出贡献。强调任何生活经历或互动 - 包括成功、失败、冲突、不公正或自我发现之旅 - 这些经历或互动极大地塑造或有助于展示您的解决问题、沟通、协作和团队合作、领导力、成熟度和自我意识、耐力和/或韧性。

文书思路建议
表达对运筹学和工业工程(ORIE)在某个具体concentrations的热情,提一下这个concentrations在现代业务中的应用以及自己的启发来源。
学术经历与项目经验:讲述在本科学习期间的项目经历,展现了领导能力、探索能力和问题分析能力。
实际工作与应用能力:介绍实习期间的数据分析经历
职业目标与未来规划:选择康奈尔大学ORIE concentrations·的原因,表达职业目标和期望,并将学术兴趣与申请项目联系起来。

Prerequisite

M. Eng concentrations:
1、标准工程微积分序列,包括线性代数(具有特征性和特征向量)和向量微积分。
2、入门工程概率和统计课程。
3、中级计算机编程课程 采用通用编程语言(如 C、C++、Java 或 Python)*SAS不接受
Financial Engineering concentrations:
1、微分方程课
2、熟练掌握R或Python
Data analytics concentrations:
为期两学期的以微积分为基础的概率和统计理论课程

项目偏好量化背景强的学生,工科背景学生居多
In order to confirm that an applicant has fulfilled the necessary prerequisites for the program, as listed below, specific information is required within the application.
M.Eng. Program Prerequisites (must be satisfied prior to matriculation):
- A standard engineering calculus sequence, including linear algebra (with eigenvalues and eigenvectors), and vector calculus, similar in content and rigor to Cornell courses MATH 1910, MATH 1920, and MATH 2940.
- An introductory engineering probability and statistics course similar in content and rigor to Cornell course ENGRD 2700.
- An intermediate-level computer programming course in a general programming language such as C, C++, Java, or Python, similar in content and rigor to Cornell course ENGRD 2110. Courses that entail programming applications, but where programming is not the primary focus are not acceptable substitutes. Courses in statistical modeling languages, such as SAS, are not acceptable substitutes.
Additional prerequisites for the Financial Engineering concentration (must be satisfied prior to matriculation):
- Two semesters of calculus-based probability, statistics, and/or stochastic processes, similar in content and rigor to Cornell courses ENGRD 2700, ORIE 3500 and/or ORIE 3510. Courses in which probability and statistical methods are used, but where theory is not the primary focus are not acceptable substitutes, nor are professional exam credentials (e.g., CFA, FRM).
- An introductory finance course, covering topics such as financial instruments, risk-return tradeoffs, and capital budgeting. Courses in economics and accounting are not acceptable substitutes.
- Strongly recommended: A course in differential equations, similar in content and rigor to Cornell course MATH 2930.
- Strongly recommended: Proficiency with R and/or Python.
Additional prerequisites for the Data Analytics concentration (must be satisfied prior to matriculation):
- A two-semester sequence of calculus-based probability and statistics theory, similar in content and rigor to Cornell courses ENGRD 2700 and ORIE 3500. Courses in which probability and statistical methods are used, but where theory is not the primary focus are not acceptable substitutes, nor are professional exam credentials (e.g., CFA, FRM).

申请材料

Fall 2025 requires GRE/GMAT (GRE preferred) code: 2098
Minimum GPA: 2.7/4.0
IELTS Minimum Requirements Overall band score of at least 7.0
TOEFL iBT Minimum Requirements: Speaking: 22 or above; Reading: 20 or above; Listening: 15 or above; Writing: 20 or above
面试形式:30 minute Video Interview (link)
物料清单:
Statement of purpose
Personal Statement
Transcripts
2+ recommendation
TOEFL/IELTS
Resume
Video interview
Prerequisites

适宜学生

(1) 掌握和应用核心学科知识:学生将掌握核心学科知识,包括优化、随机建模、统计建模和数据科学领域的基本理论概念、建模方法、解决方案技术和计算技能。他们将通过团队项目工作来解决实际问题。
(2) 问题的制定和解决方案过程的组织和规划 :评估、描述、解决方案来达到管理需求
(3) 协作解决问题和问题解决:团队合作
(4) 知识、想法和决策的交流:将培养适合目标受众的方式进行演讲、写作和演示的技能。
(5) 自主学习和专业发展:认识个人的优势和劣势,抓住改进的机会, 建立联系网络,培养“讲故事”的技能,以有效地吸引和向他人推销想法。

特点

一般学生2学期,金工concentration3学期
课程设置偏向就业导向,非常灵活的课程设置,capstone,注重数学建模、优化、概率、随机过程和统计学相关的定量分析技术应用
Track分支:
7 concentrations:
- Applied Operations Research (AOR)
- Data Analytics (DA)
- Financial Engineering (FE) -一个学期在曼哈顿,https://www.orie.cornell.edu/orie/cfem
- Information Technology (IT)
- Manufacturing and Industrial Engineering (MIE)
- Strategic Operations (SO)
- Systems Engineering Minor

课程设置
https://courses.cornell.edu/preview_program.php?catoid=55&poid=28320
班级是就业导向的,极为灵活的课程设置,项目时长1年,如果同学想暑假实习,项目时长可延长到1.5年,该项目的同学也可以选择计算机方面的课程。
Info sheets
https://www.orie.cornell.edu/sites/default/files/users/user234/2023-2024%20ORIE%20MEng%20Handbook_v2023August01%20FINAL-ua.pdf
【Class Size】
50人左右
【Career Resources】
https://studentemployment.cornell.edu/
职业发展方向
毕业生就业前景广阔,就业职位包括数据科学家、金融分析师、运营研究员、系统工程师等
- Trading、Quantitative Portfolio Management、Financial Data Science/Fintech、Financial Risk Management
项目官网