Program Intelligence
美国 · Bethlehem
Lehigh University
金融工程
本页汇总项目定位、课程结构、申请要求与适配建议，帮助顾问快速完成项目判断和方案沟通。
展示录取学生成绩区间，不只看平均值。
GPA
3.6
P25 3
P75 3.61
Avg 3.34
TOEFL
-
暂无稳定画像
IELTS
7
P25 6.5
P75 7
Avg 6.67
GRE
307
P25 306.5
P75 307.5
Avg 307
GMAT
-
暂无稳定画像
各类别指学生本科院校背景，不是该项目所在学校排名。
理海大学 MS in Financial Engineering 由 Lehigh Business 开设，是一个全日制、校内授课、STEM 指定的金融工程硕士项目，页面列明总学分为 36 学分，通常可在一至两年内完成，课程从金融理论、应用数学、工程方法和计算技术共同切入。 项目定位面向量化金融与金融科技场景，强调用随机过程、统计计算、优化、机器学习和衍生品风险管理等工具解决真实金融问题，并通过 practicum capstone 与职业发展课程把技术训练连接到投资、交易、风险管理和数据科学岗位。
二、核心学习模块与商业能力路径 课程与方法主轴：金融工程以GBUS 487 Practicum Capstone II (2 credits)、GBUS 485 Practicum Capstone I (2 credits)、MATH 468 Financial Stochastic Analysis (3 credits)、ISE 447 Financial Optimization (3 credits)、GBUS 426 Financial Markets and Institutions (3 credits)等内容组织专业训练，重点放在金融工程问题所需的理论、方法和工具衔接上。 实践或成果要求：GBUS 487 Practicum Capstone II (2 credits)、GBUS 485 Practicum Capstone I (2 credits)、理海大学 MS in Financial Engineering 由 Lehigh Business 开设，是一个全日制、校内授课、STEM 指定的金融工程硕士项目，页面列明总学分为 36 学分，通常可在一至两年内完成，说明项目不只停留在课堂学习，也要求学生通过成果、项目或现场训练完成能力转化。 项目特征细化：MATH 468 Financial Stochastic Analysis (3 credits)、ISE 447 Financial Optimization (3 credits)、GBUS 426 Financial Markets and Institutions (3 credits)，可作为理解课程组织、问题场景和专业能力侧重的直接线索。
课程总量为 36 个研究生学分，其中核心必修为 27 学分，覆盖分析、统计、金融、工业工程、计算、机器学习、实践 capstone 和专业发展。 统计与机器学习模块采用选课结构，学生可在统计计算、随机过程、机器学习基础、统计机器学习等课程中按背景和方向选择。 实践环节包含 Practicum Capstone I 与 II，项目页面说明学生会面向金融服务企业问题开展分析并进行最终展示。 9 学分选修围绕三个轨道展开，包括 Quantitative Risk、Data Science & Financial Analytics、Financial Operations；学生也可在入学后结合项目主任建议选择额外证书。
申请材料包括在线申请、申请费、essay、简历或 CV、成绩单、推荐材料以及适用的英语能力材料。 GMAT 或 GRE 对部分申请者为可选项；页面说明本科 GPA 达到 3.3 且具备两门以上量化课程 B 或更高成绩的申请者可选择不提交，但录取委员会仍可能要求补交。 页面列出春季和秋季多轮截止安排；国际申请者需特别留意春季 11 月 15 日、秋季 5 月 15 日等面向美国境外国际申请者的节点。 项目重视量化基础，申请者应能通过成绩单、课程描述、简历和文书呈现微积分、线性代数、统计、数据分析、编程或金融分析训练。
TOEFL：[after 1/21/26] Recommended TOEFL [iBT] Score: 5 [before 1/21/26] Recommended TOEFL [iBT] Score: 94 (90 for MSBA) Reading: 25, Listening: 20, Speaking: 24, Writing: 25；IELTS：Recommended IELTS Overall Score: 7* Recommended band scores: Reading: 7 Listening: 6.5 Speaking: 7.5 Writing: 6.5；GRE：Optional；成绩认证：需要。以上为当前项目结构化字段汇总，申请前请以官方招生页面当季要求为准。
学制/学分：36 credits; full-time on campus; commonly 1-2 years。Fall：Fall rounds: October 15, January 15, April 1, May 15 for international applicants outside the U.S., final July 31；Spring：November 15 for international applicants outside the U.S.; December 15 for domestic applicants。截止日期和开学批次可能按申请年度调整，须以官方页面为准。
课程面向 portfolio management、trading、risk management、data science 等量化职业场景，适合进入金融机构、资产管理、风险分析和金融技术岗位。 专业发展课程提供 networking、job search strategy、mock interview 与 quant interview preparation，帮助学生把技术能力转化为求职表达和面试表现。 项目利用 MFE alumni、企业项目、量化金融会议以及纽约和费城行业接触机会，为学生建立校友与雇主网络。
针对「MS in Financial Engineering」：申请准备应先核对已记录的先修/背景要求——Prerequisite Courses (required) MATH 231 Statistical Methods FIN 323/GBUS 420 Investments MATH 021 Calculus I and MATH 022 Calculus II, (MATH 023 Calculus III strongly recommended) OR MATH 081 Calculus with Business & Economics Applications I and MATH 082 Calculus with Business & Economics Applications II Strong applicants who have not completed the prerequisite courses may receive a conditional offer of admission and will be required to satisfactorily complete foundation course work prior to beginning regular MFE course work. Although we only require the courses listed above, instructors in the MFE program will assume that the student has the necessary financial and mathematical backgrounds. Please note you will be competing against students within the classroom that have all the business and math foundation courses listed below. You are encouraged to gain the necessary background by either taking these courses prior to coming to Lehigh or taking these foundation courses during your first term. Taking these courses in your first term will extend your time in the program and these credits will not count towards the 36 credits required.。课程与训练重点为：课程总量为 36 个研究生学分，其中核心必修为 27 学分，覆盖分析、统计、金融、工业工程、计算、机器学习、实践 capstone 和专业发展。 统计与机器学习模块采用选课结构，学生可在统计计算、随机过程、机器学习基础、统计机器学习等课程中按背景和方向选择。 实践环节包含 Practicum Capstone I 与 II，项目页面说明学生会面向金融服务企业问题开展分析并进行最终展示。 9 学分选修围绕三个轨道展开，包括 Quantitative Risk、Data Scie。材料准备可参考：申请材料包括在线申请、申请费、essay、简历或 CV、成绩单、推荐材料以及适用的英语能力材料。 GMAT 或 GRE 对部分申请者为可选项；页面说明本科 GPA 达到 3.3 且具备两门以上量化课程 B 或更高成绩的申请者可选择不提交，但录取委员会仍可能要求补交。 页面列出春季和秋季多轮截止安排；国际申请者需特别留意春季 11 月 15 日、秋季 5 月 15 日等面向美国境外国际申请者的节点。 项目重视量化基础，申请者应能通过成绩单。数据库未明确列出的要求不应被推定为硬性条件，最终以项目官网当季说明为准。
先修课程
Prerequisite Courses (required) MATH 231 Statistical Methods FIN 323/GBUS 420 Investments MATH 021 Calculus I and MATH 022 Calculus II, (MATH 023 Calculus III strongly recommended) OR MATH 081 Calculus with Business & Economics Applications I and MATH 082 Calculus with Business & Economics Applications II Strong applicants who have not completed the prerequisite courses may receive a conditional offer of admission and will be required to satisfactorily complete foundation course work prior to beginning regular MFE course work. Although we only require the courses listed above, instructors in the MFE program will assume that the student has the necessary financial and mathematical backgrounds. Please note you will be competing against students within the classroom that have all the business and math foundation courses listed below. You are encouraged to gain the necessary background by either taking these courses prior to coming to Lehigh or taking these foundation courses during your first term. Taking these courses in your first term will extend your time in the program and these credits will not count towards the 36 credits required.
TOEFL
最低要求：Min 94 官网原文：[after 1/21/26] Recommended TOEFL [iBT] Score: 5 [before 1/21/26] Recommended TOEFL [iBT] Score: 94 (90 for MSBA) Reading: 25, Listening: 20, Speaking: 24, Writing: 25
IELTS
最低要求：Min 7 官网原文：Recommended IELTS Overall Score: 7* Recommended band scores: Reading: 7 Listening: 6.5 Speaking: 7.5 Writing: 6.5
GRE / GMAT
统一结论：Optional 官网原文：Optional
GRE Subject
N/A
成绩认证
需要
Writing Sample
N/A
项目时长
36 credits; full-time on campus; commonly 1-2 years
秋季截止日期
Fall rounds: October 15, January 15, April 1, May 15 for international applicants outside the U.S., final July 31
春季截止日期
November 15 for international applicants outside the U.S.; December 15 for domestic applicants
项目链接
https://business.lehigh.edu/academics/graduate/masters-programs/ms-financial-engineering
申请链接
https://business.lehigh.edu/academics/graduate/masters-programs/ms-financial-engineering/admissions-information
课程链接
https://business.lehigh.edu/academics/graduate/masters-programs/ms-financial-engineering/about-program/curriculum
截止日期链接
https://business.lehigh.edu/academics/graduate/masters-programs/ms-financial-engineering/admissions-information
语言要求链接
https://business.lehigh.edu/academics/graduate/masters-programs/ms-financial-engineering/admissions-information
GRE 要求链接
https://business.lehigh.edu/academics/graduate/masters-programs/ms-financial-engineering/admissions-information
成绩认证链接
https://business.lehigh.edu/academics/graduate/masters-programs/ms-financial-engineering/admissions-information