加州大学尔湾分校 UCI计算机科学硕士+ 查看更多
加州大学尔湾分校 UCI
计算机科学硕士
+ 查看更多
- 该项目涉及了日常生活中的每个研究和应用领域,涉及了计算机系统的设计,分析和实践等方面
- 计算机科学包括计算机系统设计、分析和实现的理论和实践方面,以及在许多其他领域的应用
- 该项目提供以下分支方向: (1) artificial intelligence and machine learning, (2) bioinformatics, (3) computer architecture, (4) embedded systems, (5) graphics and computer vision, (6) database systems and information management, (7) multimedia and gaming, (8) networks and distributed systems, (9) programming languages and compilers, (10) security, privacy, and cryptography, (11) design and analysis of algorithms, and (12) scientific computing 等12个分支方向
项目时长:1.5—2年全日制项目
项目授课地点:美国 加州 尔湾
申请要求
学术 | · 申请人应取得美国认可的学士学位 · 申请人的GPA应大于3.0(四分制) · 申请人应该具备以下学术背景:较强的 C++、Python 或 Java 编程技能,以及离散数学、线性代数和统计学的知识 |
TOEFL | 总分:80+ |
GRE | 需要递交 |
IELTS | 总分:7+ 单科不低于6+ |
其他要求 |
申请流程
第1步:准备好申请文件 |
三封推荐信 It is important that letters of recommendation be completed primarily by professors or instructors in disciplines related to the proposed course of study who are in a position to analyze an applicant’s abilities and academic promise.
|
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必须递交 • 本科和/或研究生学位的记录 |
第3步:在线填表申请 |
第4步:递交申请费 |
课程详情:
Complete any three of the core courses:
COMPSCI 222P Principles of Data Management
COMPSCI 232P Computer and Communication Networks
COMPSCI 238P Operating Systems
COMPSCI 250P Computer Systems Architecture
COMPSCI 260P Algorithms with Applications
COMPSCI 261P Data Structures with Applications
COMPSCI 273P Machine Learning and Data Mining
Complete all project courses:
COMPSCI 295P Keystone Project for Computer Science
COMPSCI 296P Capstone Professional Writing and Communication for Computer Science Careers
COMPSCI 297P Capstone Design Project for Computer Science
Complete at least six courses*:
*Selected courses must not include courses from Section A.
COMPSCI 201P Computer Security
COMPSCI 202P Applied Cryptography
COMPSCI 203P Network Security
COMPSCI 206P Principles of Scientific Computing
COMPSCI 210P Computer Graphics and Visualization
COMPSCI 211P Visual Computing
COMPSCI 222P Principles of Data Management
COMPSCI 223P Transaction Processing and Distributed Data Management
COMPSCI 224P Big Data Management
COMPSCI 230P Distributed Computer Systems
COMPSCI 231P Parallel and Distributed Computing for Professionals
COMPSCI 232P Computer and Communication Networks
COMPSCI 238P Operating Systems
COMPSCI 242P Compilers and Interpreters
COMPSCI 244P Internet of Things
COMPSCI 250P Computer Systems Architecture
COMPSCI 253P Advanced Programming and Problem Solving
COMPSCI 260P Algorithms with Applications
COMPSCI 261P Data Structures with Applications
COMPSCI 262P Text Processing and Pattern Matching
COMPSCI 267P Data Compression
COMPSCI 268P Optimization Modeling
COMPSCI 271P Artificial Intelligence
COMPSCI 273P Machine Learning and Data Mining
COMPSCI 274P Neural Networks and Deep Learning
COMPSCI 275P Graphical Models and Statistical Learning
COMPSCI 294P Keystone Professional Writing and Communication for Computer Science Careers
CS 220P Databases and Data Management
Complete one of the following courses:
COMPSCI 298P Computer Science Practicum
COMPSCI 299P Individual Study
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