Master in Computer Science
所属信息
基本信息
项目时长
2-2.5 years项目学分
44 credits申请截止日期
-
秋季
-
常规
4/15
-
其他
-
春季
9/15
申请信息
GPA要求
3.00
TOEFL要求
100.00
IELTS要求
7.50
适宜学生
GRE not required
特点
东北大学Khoury计算机科学学院的计算机科学硕士（MSCS）项目为期约两年，旨在为计算机科学专业人员提供应对各种挑战和构建先进技术的课程。学生将深入学习三个广度领域：1) 系统和软件，2) 理论与安全，3) 人工智能与数据科学，从而增强他们的专业知识和技能。
The Master of Science in Computer Science (MSCS) at Northeastern University’s Khoury College of Computer Sciences prepares computer science (CS) professionals in approximately two years to tackle diverse challenges and build the latest technologies. Refine your knowledge and gain expertise in three breadth areas: 1) systems and software, 2) theory and security, and 3) artificial intelligence and data science.
课程设置介绍：
Your curriculum is designed to give you advanced theoretical knowledge that you can immediately apply to real-world situations. Experiential learning takes place in the form of project work, research opportunities, and paid co-op and internship opportunities.
Core Requirements
Programming
CS 5010: Programming Design Paradigm - 4
Algorithms
CS 5800: Algorithms - 4
Breadth Areas
Complete three courses from two of the following breadth areas: - 12
Systems and Software
CS 5400: Principles of Programming Language
CS 5500: Foundations of Software Engineering
CS 5520: Mobile Application Development
CS 5600: Computer Systems
CS 5610: Web Development
CS 5700: Fundamentals of Computer Networking
CS 5850: Building Game Engines
CS 6410: Compilers
CS 6510: Advanced Software Development
CS 6620: Fundamentals of Cloud Computing
CS 6650: Building Scalable Distributed Systems
CS 6710: Wireless Network
Theory and Security
CS 6760: Privacy, Security, and Usability
CS 7805: Complexity Theory
CY 5770: Software Vulnerabilities and Security
CY 6740: Network Security
Artificial Intelligence and Data Science
CS 5100: Foundations of Artificial Intelligence
CS 5150: Game Artificial Intelligence
CS 5200: Database Management Systems
CS 5330: Pattern Recognition and Computer Vision
CS 6120: Natural Language Processing
CS 6140: Machine Learning
CS 6200: Information Retrieval
CS 6220: Data Mining Techniques
CS 6240: Large-Scale Parallel Data Processing
CS 7140: Advanced Machine Learning
Electives
Complete 12 semester hours from the following: - 12
CS 5097: Mixed Reality
CS 5100 to CS 7980
CS 7990: Thesis
CS 8674: Master’s Project
CS 8982: Readings
CY 5010: Cybersecurity Principles and Practices
CY 5130: Computer System Security
CY 5210: Information System Forensics
DS 5110: Introduction to Data Management and Processing
DS 5230: Unsupervised Machine Learning and Data Mining
Specific electives such as CS 7980 Research Capstone, CS 7990 Thesis, or CS 8674 Master’s Project may be required at certain Northeastern campuses. Students should consult with their program advisor when developing a plan of study.
The Master of Science in Computer Science (MSCS) at Northeastern University’s Khoury College of Computer Sciences prepares computer science (CS) professionals in approximately two years to tackle diverse challenges and build the latest technologies. Refine your knowledge and gain expertise in three breadth areas: 1) systems and software, 2) theory and security, and 3) artificial intelligence and data science.
课程设置介绍：
Your curriculum is designed to give you advanced theoretical knowledge that you can immediately apply to real-world situations. Experiential learning takes place in the form of project work, research opportunities, and paid co-op and internship opportunities.
Core Requirements
Programming
CS 5010: Programming Design Paradigm - 4
Algorithms
CS 5800: Algorithms - 4
Breadth Areas
Complete three courses from two of the following breadth areas: - 12
Systems and Software
CS 5400: Principles of Programming Language
CS 5500: Foundations of Software Engineering
CS 5520: Mobile Application Development
CS 5600: Computer Systems
CS 5610: Web Development
CS 5700: Fundamentals of Computer Networking
CS 5850: Building Game Engines
CS 6410: Compilers
CS 6510: Advanced Software Development
CS 6620: Fundamentals of Cloud Computing
CS 6650: Building Scalable Distributed Systems
CS 6710: Wireless Network
Theory and Security
CS 6760: Privacy, Security, and Usability
CS 7805: Complexity Theory
CY 5770: Software Vulnerabilities and Security
CY 6740: Network Security
Artificial Intelligence and Data Science
CS 5100: Foundations of Artificial Intelligence
CS 5150: Game Artificial Intelligence
CS 5200: Database Management Systems
CS 5330: Pattern Recognition and Computer Vision
CS 6120: Natural Language Processing
CS 6140: Machine Learning
CS 6200: Information Retrieval
CS 6220: Data Mining Techniques
CS 6240: Large-Scale Parallel Data Processing
CS 7140: Advanced Machine Learning
Electives
Complete 12 semester hours from the following: - 12
CS 5097: Mixed Reality
CS 5100 to CS 7980
CS 7990: Thesis
CS 8674: Master’s Project
CS 8982: Readings
CY 5010: Cybersecurity Principles and Practices
CY 5130: Computer System Security
CY 5210: Information System Forensics
DS 5110: Introduction to Data Management and Processing
DS 5230: Unsupervised Machine Learning and Data Mining
Specific electives such as CS 7980 Research Capstone, CS 7990 Thesis, or CS 8674 Master’s Project may be required at certain Northeastern campuses. Students should consult with their program advisor when developing a plan of study.
