从美国TOP50本科到芝加哥大学-新东方前途出国

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    从美国TOP50本科到芝加哥大学

    • 美国研究生
    • 录取院校:芝加哥大学
    • 语言成绩免T
    • GPA3.8
    背景介绍
    申请难点
    留学规划与提升
    本科毕业院校:




    全美TOP 50大学





    专业:




    统计





    GRE成绩:




    326





    相关先修专业课:







    Courses: 


    Calculus, 

    Vector Analysis, 

    Linear Algebra, 

    Introduction to Abstract Math, 

    Regression Analysis, 

    Analysis of Variance, 

    Probability Theory, 

    Dierential Equation,

    Statistical Data Science (in R), 

    Real Analysis I, 

    Real Analysis II, 

    Optimization, 

    Analysis of Categorical Data, 

    Statistical Data Technologies (in Python), 

    Nonparametric Statistics, 

    Advanced Statistical Computing (in Python)




     




    相关实习经历无,校内课堂project6段

    院校解读
    留学方案
    案例分析
    优势:






    美本背景,高GPA,GRE分数。


     




    劣势:







    无相关实习。


     

     



    制胜因素:



    因此,在指导该学生的文书素材收集整理,以及文书的框架思路的搭建和完善时,我们建议在文书中着重利用在校课程的project,深度挖掘该生对申请专业的热情,来展现学生的能力和学习潜力。





    同时,为学生制定申请方案时,有侧重地选取了数据分析和统计这两个相近的专业,筛选了不同申请难度的学校,尽力达到最大的录取率。






    下附芝加哥大学Master of Science in Analytics官网介绍,供同学们参考。


    The MScA program is highly applied in nature, integrating business strategy, project-based learning, simulations, case studies, and specific electives addressing the analytical needs of various industry sectors. Relationships with corporate partners provide students with access to real data sets and the opportunity to address current business issues. Beyond the classroom, these corporate partnerships also provide valuable networking opportunities and career connections.

    The curriculum offers a thorough exploration of state-of-the-art data-gathering tools, methods, and analytics.

     

    Analytics Coursework Focuses on:

    • Acquiring advanced proficiency in applying state-of-the-art data engineering and software skills to support a variety of analytics applications
    • Learning data collection and preparation methodologies including identifying relevant data sources, preparing data for analytics, and automating the data preparation process
    • Gaining an in-depth understanding of established and state-of-the-art statistical modeling, machine learning, and artificial intelligence techniques
    • Designing and implementing applied research by using analytics tools relevant to strategic business issues, while working with real data sets provided by our industry partners in the Capstone project
    • Building effective leadership and communication skills which includes developing impactful, practical solutions and understanding the marriage between business and analytics strategy

    该项目关于推荐人,PS以及个人简历的要求如下:
     

    LETTERS OF RECOMMENDATION

    Your application must include three letters of recommendation from people who can assess your academic or professional qualifications.

    You do not need to wait for all your letters to be received before you submit your application. As long as you have added your recommenders' names and email addresses, and they each submit their recommendation before our application deadline, their letters can arrive after you hit the submit button.

    Recommended sources for letters of recommendation include:

    • Professors
    • Supervisors or Managers
    • Professional Mentors

    We DO NOT accept letters of recommendation from family members, friends, or peers.

    CANDIDATE STATEMENT

    Applicants are required to demonstrate their motivation, academic potential, and ability to undertake work at the University of Chicago by writing a candidate statement.

    Your statement should be typed, double-spaced, and no longer than four pages. It should highlight your qualifications and describe your interest in our program.

    RESUME/CV

    Submit an up-to-date resume or CV.

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