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MCS@UIUC – ZYX

基本信息 Basic Information

本科专业:CS (4+0)

申请学位:Master

领域偏好:ai infra mle sde 具身智能

最终去向:MCS@UIUC — Master of Computer Science

申请三维 Application Information

均分(大一/大二/大三):77/82/72 (3.88)

语言成绩:IELTS 7.5

GRE:无

申请结果 Application Results

项目 结果 提交日期 结果日期
1. MCS@UIUC — Master of Computer Science 🏁 Chosen 1.24 4.7
2. MPCS@UChicago — MS Computer Science 🟢 Admit 1.25 4.16
3. HPC@Edinburgh — MS High Performance Computing 🟢 Admit 10.23 2.20
4. CS@Manchester — MS Computer Science 🟢 Admit 10.23 11.13
5. CS@Edinburgh — MS Computer Science 🟢 Admit 11.18 12.4
6. CS@Amsterdam — MS Computer Science 🟢 Admit 11.5 11.13
7. SDIC@UCL — MS Scientific and Data Intensive Computing 🟢 Admit 11.14 4.2
8. SPML@NTU — MS Signal Processing and Machine Learning 🟢 Admit 12.4 2.11
9. IDT@HKU — MEng Innovative Design and Technology 🟢 Admit 11.21 3.19
10. ACSE@IC — MS Applied Computational Science and Engineering 🟢 Admit 10.28 12.4
11. CS@HKU — MS Computer Science 🟡 Waitlist 11.18 Now
12. TUM-Informatics@TUM — MS Informatics 🟡 Waitlist 5.16
13. AI@NTU — MS Artificial Intelligence 🟡 Waitlist 3.6
14. AAI@NTU — MS Applied Artificial Intelligence 🟡 Waitlist 12.4
15. MCompAAI@NTU — MS Applied Artificial Intelligence 🔴 Reject 12.23 7.8
16. MSIN@CMU — MS Information Networking 🔴 Reject 1.15 3.12
17. MEngECE@Cornell — MEng Electrical and Computer Engineering 🔴 Reject 1.13 4.1
18. TUM-IE@TUM — MS Information Engineering 🔴 Reject 12.23 7.8
19. MSECE@GaTech — MS Electrical and Computer Engineering 🔴 Reject 12.14 4.24
20. AIFS@NUS — MS Artificial Intelligence for Science 🔴 Reject 12.23 6.9
21. AI@Amsterdam — MS Artificial Intelligence 🔴 Reject 12.26 2.9
22. MEngECE@UIUC — MEng Electrical and Computer Engineering 🔴 Reject 1.24 4.1
23. DSML@NUS — MS Data Science and Machine Learning 🔴 Reject 12.23 4.8
24. AIDE@UCL — MS Artificial Intelligence and Data Engineering 🔴 Reject 11.14 2.3
25. ECE@CMU — MS Electrical and Computer Engineering 🔴 Reject 1.15 4.12

个人经历 Personal Academic Experiences

科研经历 Research Experiences:

两段furp暑研+grp+fyp,均无产出,nlp和cv方向

实习经历 Internship Experiences:

四段实习经历,其中一段校内实习(数据分析),一段某移动支付小厂后端开发工程师,一段某电力设备中厂AI算法工程师,一段某机器人小厂视觉算法工程师。

项目经历 Project Experiences:

无校外项目经历

荣誉奖项 Awards

2024学年 浙江省政府奖学金

2024学年 Dean’s Scholarship

申请经验 Application Experience Sharing

选校选专业:

先确定自己想要什么,确定自己读研的最终目的是为了什么,然后把研究生当作实现这个目的的工具,而不是目的本身。不要盲目听从中介或者学长学姐的建议,多看一些历届申请信息、小红书、一亩三分地等,兼听则明。

标化成绩准备:

标化没有想象中重要,不要把太多的时间浪费在标化上,达标即可。

推荐信准备:

尽早准备,可以多联系一些老师。

暑研/实习建议:

尽量大一就开始实习,不只是申研,对于就业也很有帮助。