背景介绍
学生情况简单说明:
英本背景(格拉斯哥大学),数学专业,大三在读(4年本科),GPA78+
软性背景:参与新东方哈佛的暑期科研项目,在校期间和导师参与很多AI软件的科研项目背景
软性背景:参与新东方哈佛的暑期科研项目,在校期间和导师参与很多AI软件的科研项目背景
特殊说明:学生数学本科,跨专业申请人工智能AI专业
计划递交院校: 牛津,剑桥,帝国理工,UCL,爱丁堡大学
预计入学时间:2024.9
匹配新东方的团队:研究生跃领团队
申请难点
留学规划与提升
学生妈妈找到我们时候,沟通孩子的背景,整体很具备竞争力,因为涉及到转专业申请,选择专业最热门的AI方向,我们马上落实需要补充的科研内容,孩子按部就班参与起来。在选校上沟通多次,在选择专业上尽量选择,录取比例大,孩子本科背景占优势的专业,在文书上多次沟通,并且邀请外籍老师进行多次沟通修改,最终定稿申请。学生顺利拿到了:剑桥,帝国以及爱丁堡的AI人工智能专业方向。
剑桥大学(University of Cambridge)
MPhil in Data Intensive Science;
MPhil in Machine Learning and Machine Intelligence
牛津大学(University of Oxford)
MSc in Mathematical Modelling and Scientific Computing;
MSc in Mathematics and Foundations of Computer Science
帝国理工学院(Imperial College London)
Artificial Intelligence;
Computing (Artificial Intelligence and Machine Learning)
MPhil in Data Intensive Science;
MPhil in Machine Learning and Machine Intelligence
牛津大学(University of Oxford)
MSc in Mathematical Modelling and Scientific Computing;
MSc in Mathematics and Foundations of Computer Science
帝国理工学院(Imperial College London)
Artificial Intelligence;
Computing (Artificial Intelligence and Machine Learning)
爱丁堡大学(University of Edinburgh)
High Performance Computing with Data Science
MSc;Artificial Intelligence MSc
伦敦大学学院(University College London)
Computer Graphics, Vision and Imaging MSc;
Computational Statistics and Machine Learning MSc
High Performance Computing with Data Science
MSc;Artificial Intelligence MSc
伦敦大学学院(University College London)
Computer Graphics, Vision and Imaging MSc;
Computational Statistics and Machine Learning MSc