

埃默里大学CS硕士适合拥有许多学科本科学位的个人,只要他们有一些计算经验。它允许学生专注于数据挖掘和机器学习(数据科学),自然语言处理和智能系统(AI),可视化和人机交互(HCI),理论,系统和高性能计算四大领域进行选择,具体学制和课程详细如下!
一、学制时长
埃默里大学CS硕士需要30个学分,累积时长4个学期,也就是花费2年读完。
当然,如果你追求性价比,且可以接受高学习强度的状态,也可以选择把课程在一年半之内修完,这样可以少交一个学期的费用,还是很省钱的。
二、课程安排
1、核心课程(选则一领域即可)
Algorithms Subject Area
CS 523: Data Structures and Algorithms
MS students are advised to take CS 523 unless they have a strong background in both data structures and algorithms.
CS 526: Algorithms
Intelligent Systems Subject Area
CS 534: Machine Learning
CS 557: Artificial Intelligence
CS 570: Data Mining
Computer Systems Subject Area
CS 551: Systems Programming
CS 554: Database Systems
CS 580: Operating Systems
2、选修课程
1. Project:
Completion of 5 approved elective courses (15+ credit hours)
Completion of 6 credit hours of CS: 597R or CS: 599R.
This involves a substantial software development effort under the supervision of a faculty advisor resulting in a tangible artifact appropriate to Master’s level contributions. This can be conducted over one or more semesters with different faculty but must comprise one major comprehensive project.
2. Coursework:
Completion of 7 approved elective courses (21+ credit hours)
3. Thesis:
Completion of 4 approved elective courses (12+ credit hours)
Completion of 9 credit hours of CS: 599R.
This involves a substantial research project at least equivalent to PhD proposal-level work, comprising original research of publishable quality, manifested in a substantial thesis. This can be conducted over one or more semesters but must comprise one major research effort. Please see the LGS Website for additional thesis guidelines and timelines.
最近选修课列表:
Recently offered CS electives:
CS 524: Theory of Computing
CS 540: Software Engineering
CS 541: Information Visualization
CS 553: Information and Computer Security
CS 555: Parallel Processing
CS 556: Program Language and Compilers
CS 558: Networking
CS 571: Natural Language Processing
CS 572: Information Retrieval
CS 573: Data Privacy and Security
CS 581: High Performance Computing: Tools and Applications
CS 584: Topics in Computer Science
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