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　　一、美國計算機(jī)研究生-常見三封推薦信

　　1、卡內(nèi)基梅隆大學(xué)CS碩士

　　官網(wǎng)推薦信要求：3封推薦信

　　“Three letters of recommendation: At least two letters should be from faculty or recent employers.”

　　2、斯坦福大學(xué)CS碩士

　　官網(wǎng)推薦信要求：3封推薦信

　　“You are required to list three academic or professional references who know you well and are qualified to evaluate your potential for graduate study.”

　　3、加州大學(xué)伯克利CS碩士

　　官網(wǎng)推薦信要求：3封推薦信

　　“At least three letters of recommendation are required.Recommendations from professors are highly preferred, however letters from employers in industry or outside academia are acceptable. Regardless of who the recommender is, the letter should demonstrate your academic and research ability and potential.”

　　二、美國商業(yè)分析研究生-一到三封推薦信

　　1、杜克大學(xué)MSQM:BA

　　官網(wǎng)推薦信要求：1封推薦信

　　“One letter of recommendation is required for the MSQM: Business Analytics program. Your recommender must complete the current recommendation forms associated with the online application—no other format of recommendation will be accepted.

　　Please choose one individual who can objectively evaluate your professional skills and abilities. Recommendations from relatives and friends are strongly discouraged. Academic recommendations often provide a similar perspective to your transcript and are less helpful.“

　　2、加州洛杉磯分校MSBA

　　官網(wǎng)推薦信要求：2封推薦信

　　“Two letters of recommendation are suggested and to be written by individuals who can evaluate your quantitative skills and your management potential (e.g., professors, employers, and managers).”

　　3、麻省理工學(xué)院MBAn

　　官網(wǎng)推薦信要求：3封推薦信

　　“One letter must come from someone who can speak to your quantitative abilities. If you are a current student, you should submit three academic letters of recommendation. If you are working full-time, you should submit two academic letters of recommendation and one letter from your most recent employer.”

　　三、美國金融研究生-二到三封推薦信

　　1、芝加哥大學(xué)Master in Finance

　　官網(wǎng)推薦信要求：2封推薦信

　　“Please submit letters of recommendation from two individuals who know you well and can offer specific examples of your academic performance and other contributions during your undergraduate career. Avoid choosing recommenders based on their title or status. We are more concerned with content and substance than with reputation.”

　　2、麻省理工學(xué)院MFin

　　官網(wǎng)推薦信要求：3封推薦信

　　“MFin applicants must submit three letters of recommendation. A detailed recommendation can tell us a lot about you”

　　3、埃默里大學(xué)Masters in Finance

　　官網(wǎng)推薦信要求：2封推薦信

　　“we require two letters of recommendation. We prefer that these recommendations are educational/professional in nature. Please be thoughtful when selecting your recommenders, and make sure that you choose people that can highlight your quantitative aptitude and past academic and/or career achievements.”

　　四、美國數(shù)據(jù)科學(xué)研究生-三封推薦信

　　1、紐約大學(xué)Master's in Data Science

　　官網(wǎng)推薦信要求：3封推薦信

　　“Three letters of recommendation (we prefer all letters on letterhead)”

　　2、密歇根大學(xué)Master of Science in Data Science

　　官網(wǎng)推薦信要求：3封推薦信

　　“Two letters of recommendation in support of the student's application must be submitted. You may select a 3rd recommendation, however this is optional. The admissions committee puts great weight on concrete letters of recommendation from people who are in a position to judge your potential for successfully completing graduate studies in data science. To write the letters you should select people who can tell us about your training and abilities, and about any special talents you might have. Recommenders must complete their recommendations online. When the applicant registers the recommenders' names in CollegeNet, an email is automatically sent with a link to enter the recommendation online.”

　　3、西北大學(xué)MLDS

　　官網(wǎng)推薦信要求：3封推薦信

　　“MLDS requires candidates to provide three letters of recommendation. Recommendation letters should be from professional supervisors, academic instructors, and/or research advisors. The ideal balance between professional and academic letters of recommendation depends on how recently you were enrolled in a degree program.”

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