出國留學(xué)，一份標(biāo)準(zhǔn)的留學(xué)申請書應(yīng)該包含哪些材料呢?這些材料應(yīng)該怎么寫誰來寫呢?今天YJBYS小編就為大家詳述出國留學(xué)申請文書的種類以及如何準(zhǔn)備。

　　簡歷 (Curriculum Vitae orRésumé)

　　Curriculum Vitae or Résumé 都可以翻譯成簡歷，但實際上，Résumé具有更加自由和多樣化的組織格式，通常用于找工作。然而，Curriculum Vitae對于格式的要求則相對嚴格，通常用于在學(xué)�；蚪逃龣C構(gòu)尋找機會。

　　另外不同的是，Résumé傾向于為某種特定的目的或目標(biāo)讀者而量身定制，通常以陳述個人目標(biāo)開始，然后按照重要性羅列出自己以往的成就。而Curriculum Vitae則是按照時間順序，以濃縮的數(shù)據(jù)形式，呈現(xiàn)出一個完整的自己。

　　申請材料清單 (Cover Letter orApplication Checklist)

　　申請材料清單的內(nèi)容包括申請人的姓名、聯(lián)系方式、申請的院系及專業(yè)，最重要的是要逐一羅列您申請包中的所有材料。這樣可以使拿到您材料的每一個人井然有序的查找您所有的文件，避免傳遞過程中的遺漏。同樣，如果遇到材料不全或郵寄過程中的丟失，一張清晰明確的申請材料清單，也可以使得更方便快捷地聯(lián)系到您。

　　個人陳述(Personal Statement)

　　通常我們叫做PS，即Personal Statement 或 Statement ofPurpose. PS的主要內(nèi)容包括你為什么要選擇這個學(xué)校和專業(yè);你的優(yōu)勢和業(yè)績，尤其是在大學(xué)期間或工作背景中與申請專業(yè)領(lǐng)域相關(guān)的部分;你的英語水平及特長;整個的學(xué)習(xí)過程會對你在未來的發(fā)展中有何幫助以及你對未來的發(fā)展計劃與目標(biāo)。

　　PS是西方國家學(xué)校、工作申請中非常重要的參考材料之一，也是申請人全面展現(xiàn)自己的關(guān)鍵機會。同時，PS也是對所有申請材料的綜合和總結(jié)，它就像是一條貫穿始終的主線。一封好的PS可以幫助你在眾多的申請材料中脫穎而出，申請順利成功。

　　研究計劃 (Research Proposal)

　　Research Proposal是申請科研性碩士、博士學(xué)位的一個必要材料。它的主要內(nèi)容是陳述你對這個研究領(lǐng)域的了解與想法，也是未來導(dǎo)師最關(guān)心的部分。他們希望能從你的研究計劃中發(fā)現(xiàn)你對做科研的熱情以及對其研究領(lǐng)域方面的潛質(zhì)。因此這份材料很可能成為你能否被錄取的直接因素。

　　我們擁有來自各個專業(yè)，畢業(yè)于英國各大名校的研究學(xué)者。由他們幫您介紹做科研的經(jīng)驗、把握研究計劃的起草方向，相信您的申請一定會事半功倍。

　　推薦信(References)

　　Reference是申請人的大學(xué)導(dǎo)師或單位領(lǐng)導(dǎo)等那些教導(dǎo)您，熟悉您，在您過去的經(jīng)歷中有重要地位的人來完成。申請過程中，通常需要兩封推薦信。如果您是應(yīng)屆畢業(yè)生，這兩封信均由您大學(xué)期間的老師完成，如果您已經(jīng)參加工作，那么一封由原學(xué)校導(dǎo)師執(zhí)筆，一封則可由您目前雇主代理。

　　推薦信的作用舉足輕重，因為除大學(xué)成績單和英語標(biāo)準(zhǔn)考成績外，這兩封信是對您唯一的客觀評價材料。如何把握好您不同階段推薦人的身份，對您作出真實、有力的總結(jié)，是寫好推薦信的關(guān)鍵。

　　留學(xué)申請范文-Cornell University

　　Cornell UniversityFinancial Engineering

　　Upon arriving at college, I was intent on discovering what I would truly love to do for the rest of my life. I was eager to explore the richness of the world and my own passion. Since then, I have found the answer in quantitative finance and now look forward to learning in greater depth about my chosen field.

　　At the time of my graduation from high school in China, I dreamed of becoming a great inventor, like Thomas Edison or Orville or Wilbur Wright. During the first two years of college, I explored, first, the field of mechanical engineering and, then, ECE (electrical and computer engineering).However, neither area seemed to offer me sufficient opportunities to exercise critical thinking and problem-solving skills. Then, one day, toward the end of my sophomore year, I talked with a friend who excitedly told me about a project using a quantitative approach that she and her classmates were completing for an optimization modeling class. I was thrilled and immediately decided to transfer to OR (Operations Research).

　　The following summer, I served an internship in a mutual fund company based in Shanghai. Working in the firm’s newly established Strategy Department, I enjoyed opportunities to familiarize myself with many varied aspects of the business. Furthermore, aware that I was studying Operations Research, my boss invited me to launch a quantitative investment strategy project. Although, at that time, I knew relatively little about OR, I excitedly accepted the challenge. Throughout the summer, after working all day, I would spend the evening reading research papers. The beauty and potential of quantitative analysis fascinated me, and further reinforced my decision to study OR.

　　During my junior year, I began participating in the Cornell Alpha Fund, a student-run investment fund. I soon became a partner, co-managing the fund along with five other partners. In the educational sessions we organize to provide ourselves as well as our members with a learning environment, we require every presentation to include both qualitative and quantitative analysis, with an emphasis on applying our knowledge to practical real-world situations. What we derive from these meetings then enriches our classroom learning. Perhaps ironically, my involvement in club operations and in investment decisions, while broadening my knowledge, has also made me aware of my and other members’ limitations, especially on the quantitative side. As a result of our lack of expertise in that area, we were able to execute very few options trades and no futures trades at all. My decision to pursue further study in graduate school stems in part from my desire to more fully understand the field of derivatives and the quantitative side of the financial markets.

　　My academic experiences at Cornell have prepared me well for graduate study. For example, I was involved in several relevant research projects. In my junior year, I assisted Professor Rick Geddes in creating a rule-of-law index for various countries. In my senior year, I continued to work with Professor Geddes on a PPP (public private partnership) highway construction project. In addition, as a senior, I assisted Professor PeterFrazier in the development of a simulation with a graphical user interface (GUI), a project based on a research problem in scheduling follow-up checkups for patients after vascular surgery. For me, the research process itself ―addressing challenges and getting closer and closer to solutions ― is delightful. The prospect of continuing to engage in stimulating research is another reason I wish to enroll in a graduate program.

　　My specific choice of Mathematics in Finance in a Master’s program emanates from one of my most fascinating classes at Cornell: Professor Ming Huang’s Behavior Finance. Listening to Professor Huang explains the behavior of financial markets and, in particular, the ways in which these behaviors are inefficient, I was intrigued by the prospect of applying quantitative analysis to these markets. My goal in a graduate program is to combine my quantitative skills and interests with my background in finance.

　　After completing the Master’s program, I plan to pursue a career in my home country, China, where quantitative trading and algorithm trading are still in the early stages of development. My internship made me aware that, because of the lack of arbitrageurs and algorithm traders, quantitative strategies can be more effective in China than in countries like the U.S., in which the financial markets are already mature and more efficient. I keenly anticipate using the skills and knowledge I will acquire in a graduate program in Mathematics in Finance to improve the efficiency and contribute to the maturity of financial markets in China.