模板留学服务-CS
美国-UCSD

加州大学圣地亚哥分校 UCSD
计算机科学硕士


简 介

  • 该项目提供了三个不同的学习方式,分别是:The Thesis; The Comprehensive Examination or Comprehensive Interdisiplinary;学生可以根据自己情况选择合适的学习方式

  • 该项目从核心科目逐步推进到高级课题:如:Artificial Intelligence; Bioinformatics; Communication Networks, Computer Architecture; Compilers



项目时长:根据所选学习方式界定项目时长

项目授课地点:美国 加州 圣地亚哥
申请要求


学术


学术背景:
· 申请人的GPA必须在B(3.0/4.0)+以上或同等成绩
· 学校优先选择拥有计算机科学、计算机工程、电子工程或数学方面的本科背景的申请人
· 其他本科背景的申请人如果完成了最低要求的CSE课程或同等学力,也会被考虑录取

TOEFL


总分:85+


GRE


必须递交

IELTS


总分:7+

其他要求






申请流程

第1步:准备好申请文件

  • 推荐信
     三封推荐信;建议大三或者大四老师推荐信


  • SOP
SOP should provide information that demonstrates level of preparation and potential for success of applicant in graduate school

Applicants should address past accomplishments within the realm of computer science and engineering, why they are  qualified for the program, and goals they wish to pursue while in graduate school


  • CV
Required and must be uploaded to the online application
第2步:需要的其他文件
· 每所就读大学的学校颁发的成绩单
· 官方学位证书(申请时如未毕业可不提供)
· 提交英语语言能力成绩
· 护照复印件
· GRE是可选的
· 本科和/或研究生学位的记录 
第3步:在线填表申请
4步:递交申请费

GT备考
Computer Science majors must take one course from each of the three  breadth areas: Theory, Systems, and Applications.
Computer Science majors must take three courses (12 units) from one depth area on this list.

Artificial Intelligence
CSE 203B /CSE 291: Convex Optimization (*students that completed ECE273 or Math 245B will not be eligible to enroll in CSE 203B or count the course)
CSE 234 (Formerly CSE 291) - Data Systems for Machine Learning
CSE 250A - AI: Probabilistic Reasoning and Learning
CSE 251A (formerly CSE 250B) - AI: Learning Algorithms
CSE 251B (formerly CSE 253) - Neural Networks/Pattern Recognition
CSE 251C (Formery CSE 250C) -Machine Learning Theory
CSE 252D (Formerly CSE 252C)- Advanced Computer Vision (Prof. Chandraker's Section ONLY)
CSE 254 - Statistical Learning
CSE 255 - Data Mining and Predictive Analysis
CSE 256 - Statistical Natural Language Processing
CSE 257 (Formerly CSE 291)- Search and Optimization
CSE 258 - Recommender Systems and Web Mining
CSE 258A - Cognitive Modeling
CSE 291 - 3D-Centric Machine Learning
CSE 291 - Advanced Statistical NLP
CSE 291 - Advances in 3D Reconstruction
CSE 291 - Advanced Data-Driven Text Mining
CSE 291 - Advanced Deep Learning (*Cottrell Section Only)
CSE 291 - Adv. Analytics and ML Systems
CSE 291 - Algorithms for Big Data 
CSE 291 - Automated Reasoning in AI
CSE 291 - Continual Learning
CSE 291 - Deep Learning for 3D Data
CSE 291 - Deep Learning for Sequences
CSE 291 - Deep Reinforcement Learning
CSE 291 - Graph Mining/Network Analysis
CSE 291 - Latent Variable Models
CSE 291 - Machine Learning on 3D Data
CSE 291- Machine Learning on Geometrical Data
CSE 291- Machine Learning Meets Geometry
CSE 291 - Probabilistic Approaches to Unsupervised Learning 
CSE 291 - Recommender Systems
CSE 291 (Renumbered to CSE 257)-- Search and Optimization
CSE 291 - Statistical Learning Theory
CSE 291 - Statistical Learning and Combinatorics
CSE 291 - Structured Prediction for Natural Language Processing 
CSE 291 - Topics in Statistical NLP
CSE 291 - Trustworthy Machine Learning (Chaudhuri)
CSE 291- Unsupervised Learning
COGS 243 - Statistical Data Analysis
COGS 225 (Formerly COGS260) - Image Recognition (w/ Z. Tu)
DSC 291- Data Science: Scientists/Engineers (Yoav Freund)
ECE 273 - Convex Optimization and Applications
ECE 276C - Robot Reinforcement Learning
ECE 285 - Intel Vehicles/Asst Systems
ECE 285 -SpecTopic/Signal&Imag/Robotic Machine Learning/Image Process
MAE 242 - Robot Motion Planning

Computer Engineering
CSE 231 - Advanced Compiler Design
CSE 237A - Introduction to Embedded Computing
CSE 237B - Software for Embedded Systems
CSE 237C - Validation and Testing of Embedded Systems
CSE 237D - Design Automation and Prototyping for Embedded Systems
CSE 240A - Principles of Computer Architecture
CSE 240B - Parallel Computer Architecture
CSE 240C - Advanced Microarchitecture
CSE 240D - Application Specific Processors 
CSE 241A - VLSI Integration of Computing Circuitry
CSE 243A - Introduction to Synthesis Methodologies in VLSI CAD
CSE 244A - VLSI Test
CSE 245 - Computer Aided Circuit Simulation and Verification  
CSE 248 - Algorithmic and Optimization Foundations for VLSI CAD
CSE 260 - Parallel Computation
CSE 291 - Memory/storage technologies and applications 
CSE 291 - Topics in Embedded Computing and Communication
ECE 260A - VLSI Digital System Algorithms & Architectures
ECE 260B - VLSI Integrated Circuits & Systems Design
ECE 260C - VLSI Advanced Topics
ECE 284 - Special Topics in Computer Engineering

Computer Systems
CSE 207B (Formerly CSE 291) - Applied Cryptography 
CSE 221 - Operating Systems
CSE 222A - Computer Communication Networks
CSE 222B - Internet Algorithmics
CSE 223A - Principles of Distributed Computing
CSE 223B - Distributed Computing and Systems
CSE 224 (formerly CSE 291) - Graduate Networked Systems
CSE 227 - Computer Security 
CSE 234 (Formerly 291) - Data Systems for Machine Learning
CSE 260 - Parallel Computation 
CSE 262 - System Support for Applications of Parallel Computation 
CSE 291 - Adv. Analytics & ML Systems
CSE 291 - Adv. Topics in Classical Operating Systems
CSE 291 - Cloud Computing
CSE 291 - Cloud Application Dependability
CSE 291 - Distributed Systems
CSE 291-  Language Based Security
CSE 291 - Memory/storage technologies and applications
CSE 291 - Storage Systems
CSE 291 - Topics in Embedded Computing and Communication
CSE 291 - Virtualization

Database Systems
CSE 232 - Principles of Database Systems
CSE 232B - Database System Implementation 
CSE 233 - Database Theory
CSE 234 (Formerly CSE 291) - Data Systems for Machine Learning
CSE 291 - Advanced Analytics
CSE 291 - MGMT Large-Scale Graph Data
CSE 291: Adv. Analytics and ML Systems
CSE 291: Advanced Topic: Data Models in Big Data Era

Graphics And Vision
CSE 163 - Advanced Comp Graphics
CSE 168 - Comp Graphics II Rendering
CSE 252A - Computer Vision I
CSE 252B - Computer Vision II
CSE 252C - Selected Topics in Vision and Learning
CSE 252D - Advanced Computer Vision
CSE 272 - Advanced Image Synthesis
CSE 274 - Selected Topics in Graphics
CSE 291 - 3D-Centric Machine Learning
CSE 291 - ML Method for 3D Geometry Data 
CSE 291: Advances in 3D Reconstruction
CSE 291 - Computational Photography
CSE 291 - Deep Learning for 3D Data
CSE 291: Deep Learning for Sequences
CSE 291:  Domain Adaptation in Computer Vision
CSE 291 - Pattern Recognition
CSE 291: Physical Simulation 
CSE 291: Recent Advances in Computer Vision
COGS 260 - Image Recognition

Human-Computer Interaction
CSE 170/COGS 120 - Interaction Design
CSE 216/COGS 230 -  Topics in HCI
CSE 218 - Advanced Topucs in Software Engineering
CSE 250A - AI: Probabilistic Reasoning and Learning
CSE 291 - HCI for Health
CSE 190/291 - Computer Science Education Research
CSE 291 - Anti-Social Computing 
CSE 291 - Towards Human-Centered Al
CSE 291 - Human-Centered Computing for Health (HC4H)
CSE 291 - Security, Privacy, and User Experience 
COGS 220 - Information Visualization 
COGS 231- Human Centered Programming
COGS 260 - Crowdsourcing Research
COGS 234 (previously COGS 260) -  Foundations for Future User Interfaces
CSE 219 - 1 unit seminar (recommended but does NOT fulfill the depth requirement)

Programming Languages, Compilers, And Software Engineering
CSE 210 - Principles of Software Engineering
CSE 218 - Advanced Topics in Software Engineering 
CSE 230 - Principles of Programming Languages
CSE 231 - Advanced Compiler Design
CSE 291 - Program Synthesis

Bioinformatics
CSE 280A - Algorithms in Computational Biology
CSE 282 - Bioinformatics II: Sequence and Structure Analysis - Methods and Applications
CSE 283 - Bioinformatics III: Functional Genomics 
CSE 284 - Personal Genomics
MATH 283 - Statistical Methods in Bioinformatics

Theoretical Computer Science
CSE 200 - Computability and Complexity
CSE 201A - Advanced Complexity
CSE 202 - Algorithm Design and Analysis
CSE 203A - Advanced Algorithms
CSE 205 - Logic in Computer Science
CSE 206A - Lattice Algorithms and Applications
CSE 207 - Modern Cryptography 
CSE 207B (Formerly CSE 291) - Applied Cryptography 
CSE 208 - Advanced Cryptography 
CSE 291 - Communication Complexity
CSE 291 - Quantum Complexity Theory
CSE 291 -Topics in Advanced Cryptography

Robotics Mandatory
CSE 276A Introduction to Robotics
Choose One or Two Courses:
CSE 276B Human Robot Interaction
CSE 276C Mathematics for Robotics
CSE 276D Healthcare Robotics 
CSE 276E Robotic System and Implementation
Choose Zero or One Courses:
CSE 251A (Formerly CSE 250B) AI: Learning Algorithms
CSE 252B Computer Vision

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