留学服务-ECE头图
美国-CMU

卡内基梅隆 CMU
Electrical and Computer Engineering


简 介

  • 该项目的学生将获得世界一流的的电气或计算机工程硕士专业训练课程

  • 在学术顾问和导师的帮助下,学生将按照自己的爱好选择符合其背景并最适合其学术目标的课程

  • 该校的学生有机会在这些领域的某些特定方面进行深入的专业学习

项目时长:1.5—2年全日制

项目授课地点:美国 宾夕法尼亚州 匹兹堡
申请要求


学术


· 申请人不需要具备计算机本科学位,但必须获得相当于美国四年制本科学位
· 申请人需要具备强大的分析、数学、编辑和逻辑推理能力


TOEFL


总分:84+;R 22, L 22, S 18, W 22

GRE


可选的

IELTS


总分:7+;Reading-6.5, Listening-6.5, Speaking-6, and Writing-6

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,至少有两封是教授或者企业推荐信


· SOP
Your statement of purpose (SoP) essay is an integral part of your application package. The admissions committee uses your SoP to ensure that you have a genuine interest in the program and know what you are applying for. Your SoP must demonstrate an understanding of what your desired program(s) is, your familiarity with the goals of the program, and your interest in the program’s content. It must also provide background information pertaining to your work experience, technical and soft skills, and academic education.

Avoid common clichés in your SoP. In particular, try to avoid childhood anecdotes or goals. The admissions committee is interested in your current goals, skills, and strengths. Remember that the committee is reviewing a large number of applications, so you should be concise in your writing and get straight to the point. Write in a plain language and use your own words. Be sincere. Use a spell and grammar checker.

Expressing yourself clearly, sincerely, and effectively is a core skill of any graduate program and invaluable in today’s job market. Therefore, most importantly, the SoP must be authored by you and you alone. Do not use a second party such as a friend, parent, an essay writing service, or a college admissions consultant to create your SoP.


· CV

Resume required


第2步:需要的其他文件

· 扫描并上传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)
· GRE 成绩是可选的
· 提交英语语言能力成绩
· 护照复印件
· 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
Entrepreneurship and Innovation in Technology
Business Fundamentals
Neural Technology: Sensing and Stimulation
Foundations of Computer Systems
Microelectromechanical Systems
Micro and Nano Systems Fabrication
Nano-Bio-Photonics
Nano-Bio-Photonics
Smart Grids and Future Electric Energy Systems
Advanced Digital Integrated Circuit Design
Analog Integrated Circuit Design
ULSI Mobile Platform and Server Product Design
Special Topics in Circuits: IC Design for Wireless Communication Systems
Introduction to Information Security
Introduction to Hardware Security
Browser Security
Wireless Security
Mobile Security
Policies of the Internet
Hardware Arithmetic for Machine Learning
Design Patterns for Smart Phone Development
Embedded System Software Engineering
Reconfigurable Logic: Technology, Architecture and Applications
Special Topics in Computer Systems: Mobile Hardware for Software Engineers
How to Write Fast Code I
How to Write Fast Code II
Computational Problem Solving for Engineers
Real-Time Embedded Systems
Distributed Embedded Systems
Mobile Hardware for Software Engineers
Policies of Wireless Systems
Networked Cyber-Physical Systems
Foundations of Software Engineering
Software Architecture and Design
Software Verification and Testing
Entrepreneurial Engineering Project
Data Intensive Workflow Development for Software Engineers
Decision Analysis and Engineering Economics for Software Engineers
Software Requirements and Interaction Design
Software Engineering Methods
Optimization
Numerical Methods for Engineering Design and Optimization
Introduction to Machine Learning for Engineers
Principles and Engineering Applications of AI
Hardware Architectures for Machine Learning
Software Refactoring
Advanced Probability & Statistics for Engineers
Algorithms for Large-scale Distributed Machine Learning and Optimization
Data Science for Software Engineering
Special Topics in Integrated Systems Technology: Micro/Nano Biomedical Devices
Power Electronics
Power Electronics for Electric Utility Systems
Analytical Performance Modeling & Design of Computer Systems
Introduction to Neuroscience for Engineers
Digital Signal Processing
Statistical Discovery and Learning
Neural Signal Processing
Technical Writing for Engineers -- Linguistic Foundations
Technical Writing for Engineers: Genre Foundations
Managing and Leading Research and Development
Advanced Cloud Computing
Elements of Photonics for Communication Systems
Physics of Applied Magnetism
Advanced Analog Integrated Circuits Design
RF IC Design and Implementation
Advanced Digital Integrated Circuit Design
Projects in Integrated Circuit Design: First Silicon
Special Topics in Circuits: Power Electronics
Introduction to Computer Security
Network Security
Secure Software Systems
Applied Cryptography
Foundations of Privacy
Special Topics in Computer Systems: Engineering Safe Software Systems
Sports Technology
Special Topics in Security: Foundations of Security and Privacy
Special Topics in Security: AI/ML and Cybersecurity: Challenges, Opportunities, and Applications
Network Security and Management
Special Topics in Security: Security and Fairness of Deep Learning
Special Topics in Security: Cyber Security I
Special Topics in Security: Formal Foundations of Software Security
Special Topics in Security: Architectures for System and Network Security
Special Topics in Security: Security and Fairness of Deep Learning
Special Topics in Security: Foundations of Security and Privacy
Modern Computer Architecture and Design
Computer Networks
Computer Architecture and Systems
Neuromorphic Computer Architecture & Processor Design
Autonomous Driving
Connected Embedded Systems Architecture
Rapid Prototyping of Computer Systems
Storage Systems
How to Write Low Power Code for the IoT
Wireless Sensor Networks
Building Reliable Distributed Systems
Wireless Networking and Applications
Wireless Networks and Applications
Applied Stochastic Processes
Estimation, Detection and Learning
Information Theory Measures for Artificial and Natural Intelligence Systems
Error Control Coding
Networks in the Real World
Packet Switching and Computer Networks
Network Management and Control
Wireless Communications
Wireless Networks
Circuit Simulation and Optimization Methods: A Power Systems Perspective
Digital Systems Testing and Testable Design
Linear Systems
Non Linear Control
Complex Large-Scale Dynamic Systems
Speech Recognition and Understanding
Machine Learning
Data, Inference, and Applied Machine Learning
Introduction to Deep Learning
Data Analytics
Big Data Science
Wavelets and Multiresolution Techniques
Methods in Medical Imaging Analysis
Advanced Digital Signal Processing
Image and Video Processing
Pattern Recognition Theory
Bioimage Informatics
Machine Learning for Signal Processing
Special Topics in Signal Processing

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