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凯斯西储大学

凯斯西储大学 CWRU
MS in Finance


简 介

  • 凯斯西储管理学院的金融硕士项目能够让学生在短短的九个月内实现职业梦想,项目所教授的技能可以让学生在未来的职业生涯中脱颖而出

  • 该课程是一个STEM项目,可以获得36个月的OPT可以延长在美国的工作时间

  • 该课程邀请世界级教授授课,让学生在校内深入了解金融的不同领域

  • 该项目提供三个不同分支,即:金融大数据分析,公司财务分析和风险管理分析


项目时长:9个月全日制 (全日制)

项目授课地点:俄亥俄州 克利夫兰·美国

申请要求

学术
学术背景:
  • 申请人必须已经完成或这在完成一个四年制本科学位。或拥有相当于美国四年制的三年至学位,需要经过第三方机构进行认证
TOEFL
总分:90+
GMAT/GRE
必须递交,可以申请豁免,有豁免要求
IELTS
总分:7+
其他要求


申请流程:
第1步:准备好申请文件
  • 推荐信
两封推荐信

  • Written Essay
Two Essays (500 words each)

  • Resume
第2步:需要的其他文件
  • 扫描并上传每所就读大学的学校颁发的成绩单,如果是三年制学位需要第三方机构认证成绩单
  • 官方学位证书(申请时如未毕业可不提供)
  • 强制提交 GMAT/GRE 成绩,达到豁免条件可以申请豁免
  • 提交英语语言能力成绩
  • 护照复印件
  • 本科和/或研究生学位的记录 
第3步:在线填表申请
4步:递交申请费

GT备考
核心课程

  • FNCE 401 – Financial Orientation
This is a mandatory preparatory/refresher course for all entering Master of Finance students. It will cover basic topics in statistics, financial accounting and in financial management, so that all students can hit the road running with the other core courses in the first semester.

  • FNCE 404 – Financial Modeling
This is a course about financial modeling. It covers a range of topics in the field of financial economics. Each topic is chosen because it lends itself to financial modeling. The primary focus of the course is to relate the theory of finance to practical and usable spreadsheet models that will assist a financial manager with a firm's investment and financing decisions. Spreadsheet models have been the dominant vehicle for finance professionals to practice their trade. This course will utilize Excel and challenge the student to improve their finance and modeling skills. Students will improve their familiarity with financial data analysis through various exercises that incorporate completed models. In summary, the course is designed to increase your practical understanding of core concepts in finance, help you develop hands-on spreadsheet modeling skills, and strengthen your ability to perform financial data analysis within an Excel model.

  • FNCE 421 – Corporate Financial Analysi
This course is designed to lay the analytic foundation for careers in corporate finance, banking, consulting, and investment banking. The objective of the course is to strengthen students' conceptual understanding and problem-solving skills, and teach them how to think on their feet. Topics covered include Economic cash flows and valuation, Valuation methods, Long term financial planning and ratios analysis, Growth and external financing, Managerial options and valuation, Capital structure, and Payout policy. Topics covered may change from semester to semester. The course envisages use of spreadsheets and case studies, and will emphasize on links to real-world events.

  • FNCE 429 – Investment Management
This course explores the characteristics of financial investments and markets and develops modern techniques of investment analysis and management. The goal is to help students develop a level of analytical skill and institutional knowledge sufficient to make sensible investment decisions. Topics include: an overview of stock, debt and derivative asset markets, practical applications of modern portfolio theory, equilibrium and arbitrage-based approaches to capital market pricing, the debate over market efficiency, the term structure of interest rates, bond portfolio management, and uses of derivative assets in investment portfolios.

  • FNCE 430 – Derivatives and Risk Management
This course is intended to give students an understanding of options and futures markets both in theory and practice. The emphasis is on arbitrage and hedging. The course concentrates on listed common stock and index contracts as well as commodity markets. Various theories for trading strategies are studied.

  • FNCE 435 – Empirical Finance
This course provides an introduction to empirical analysis and research in finance. This involves the management of empirical datasets and the aspects of quantitative applications of finance theory. The goal is to enable the student to deal with the need to analyze complex and large financial and economic datasets that is present in many fields of the financial profession. The scope of the data as well as the quantitative methods used in such analysis often requires familiarity with robust computational environments and statistical packages. As such, another goal of the course is to familiarize the student with at least one such environment. Applications are conducted using real financial and economic data. The course draws on the theoretical aspects of the subjects covered, but mainly focuses on the practical matters required to undertake an empirical analysis of financial topics--e.g., the definition of the research question, the datasets required, the computational needs, and, then, the implementation. The course enables the student to evaluate outstanding financial research as well as to conduct his or her own research. Offered as BAFI 435 and FNCE 435.

  • FNCE 436 – Individual, Team and Career Development
This course is designed to focus on three areas of development critical to students' personal and 
professional success: 1) Individual; 2) Team; and 3) Career. The individual and team aspects include developing self and other awareness through exploration of learning styles, process skills, and building communication and presentation competencies. Career development includes a focus on strategies for success such as networking, resume building, and learning from executives through intensive and interactive seminars. The course involves use of assessments, group discussions, presentations and experiential activities.

特色课程:
  • Blockchains and AI: Applications in Finance and Business course offered in Master of Finance curriculum
  • Artificial Intelligence for Financial Modeling Course

选修课程
  • Corporate Financial Analytics Specialization (STEM Eligible)
FNCE 403 – Corporate Financial Technology
FNCE 428 – Financial Strategy and Value Creation OR 
FNCE 480 – Global Banking & Capital Markets
FNCE 432 – Corporate Risk Management
FNCE 433 – Quantitative Risk Modeling OR FNCE 470 – Financial Models Using Big Data
FNCE 434 – Financial Analytics and Banking OR FNCE 460 – Investment Strategies
FNCE 491 – Python Programming w Appl in Finance

  • Corporate Finance Specialization
FNCE 403 – Corporate Financial Technology
FNCE 428 – Financial Strategy and Value Creation
FNCE 432 – Corporate Risk Management
FNCE 440 – Financial Decisions Modeling and Analytics
FNCE 444 – Entrepreneurial Finance
FNCE 450 – Mergers and Acquisitions
FNCE 480 – Global Banking & Capital Markets

  • Risk Management Analytics Specialization (STEM Eligible)
FNCE 403 – Corporate Financial Technology
FNCE 431 – Fixed Income Markets and Their Derivatives
FNCE 432 – Corporate Risk Management
FNCE 433 – Quantitative Risk Modeling
FNCE 434 – Financial Analytics and Banking
FNCE 440 – Financial Decisions Modeling and Analytics
FNCE 491 – Python Programming w Appl in Finance

  • Financial Big Data Analytics Specialization (STEM Eligible)
FNCE 431 – Fixed Income Markets and Their Derivatives
FNCE 433 – Quantitative Risk Modeling
FNCE 460 – Investment Strategies
FNCE 470 – Financial Models Using Big Data
FNCE 471 – Applications in Financial Big Data
FNCE 493 – Blockchains, Cryptocurrencies, and Cryptoventures
FNCE 494 – Artificial Intelligence for Financial Modeling

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