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工程与应用科学

计算机科学

 学校:  

罗切斯特大学

   硕士生项目

MS in Computer Science

学年学制

30 credits

学年学费

暂无

奖学政策

提供奖学金

所在校区

暂无

专业排名

暂无

招生人数

暂无

录取要求

Students must complete a minimum of 30 credits. Of these credits:

All courses must be 400-level three- or four-credit courses

Up to six hours can be from research credits, supervised by a faculty member

MS students must pass a comprehensive examination (or essay), typically in the last semester before graduation.

Some students may need to take one or more 100 or 200-level prerequisite courses. These courses are not counted toward the 30 credit requirement and are typically taken by students who do not have an undergraduate degree in computer science.

Courses offered by departments other than computer science but that are relevant to the degree may be included in the 30 hours, subject to approval of our graduate coordinator. In any case, at least 18 hours of the 30 must be courses offered by the Department of Computer Science.

Students must maintain a GPA of 3.0 by the end of their second semester and throughout the rest of their time in the program, and must obtain a least a 2.0 in each course that counts toward the 30 credit hours.

申请材料清单

Personal statement (Statement of Purpose)

Transcripts (please upload scans of your unofficial transcripts to your application--official transcripts will only be required if you are admitted)

GRE score (UR Institution Code: 2928)

TOEFL score (UR Institution Code: 7267) or IELTS score

Three letters of recommendation

There is no specific minimum threshold on GRE/TOEFL scores. The admission decision is made based on the overall application package.

截止申请时间:

2018年2月15日

专业介绍

Our graduate program was established in 1974 and has a history of more than 40 years of world-class research, especially in artificial intelligence/human-computer interaction, software systems, and the theory of computation. We provide a collegial, interactive environment in which faculty directly mentor students. All faculty and PhD students, regardless of their area, are familiar with each other’s work. This is possible only in a relatively small, close-knit department.

Our philosophy is that computer science research is a community endeavor, crucially dependent on the vitality of the local community in which it takes place. We believe that graduate students are the heart of our research productivity, and we make them first-class department citizens. Graduate students serve on all department committees and, in particular, are crucial members of faculty and graduate student recruitment efforts.


联系方式:

Department of Computer Science

University of Rochester

2513 Wegmans Hall

P.O. Box 270226

Rochester, NY 14627

(585) 275-5671


课程设置

  • Programming Languages and Computer Systems
  • CS 453: Dynamic Languages and Software Development
  • CS 455: Software Analysis and Improvement
  • CS 456: Operating Systems
  • CS 457: Computer Networks
  • CS 458: Parallel and Distributed Systems
  • CS 484: Advanced Algorithms
  • CS 572: Seminar in Programming Languages
  • CS 495: Independent Research
  • Algorithms and Complexity
  • CS 484: Advanced Algorithms
  • CS 486: Computational Complexity
  • CS 487: Advanced Modes of Computation
  • CS 444: Logical Foundations of Artificial Intelligence
  • CS 446: Machine Learning
  • CS 574: Seminar in Theory of Computation
  • CS 577: Optimization and Machine Learning
  • CS 495: Independent Research
  • Computer Architecture
  • CS 484: Advanced Algorithms
  • ECE 404: High Performance Microprocessor-Based Systems
  • CS 453: Dynamic Languages and Software Development
  • CS 455: Software Analysis and Improvement
  • CS 458: Parallel and Distributed Systems
  • ECE 465: Performance Issues in VLSI/IC Design
  • CS 573: Advanced Topics in Memory Systems
  • CS 495: Independent Research
  • Artificial Intelligence and Machine Learning
  • CS 440: Data Mining
  • CS 444: Logical Foundations of Artificial Intelligence
  • CS 446: Machine Learning
  • CS 448: Statistical Speech and Language Processing
  • CS 449: Computer Vision
  • CS 484: Advanced Algorithms
  • CS 577: Optimization and Machine Learning
  • CS 495: Independent Research
  • Natural Language Processing
  • CS 444: Logical Foundations of Artificial Intelligence
  • CS 446: Machine Learning
  • CS 447: Natural Language Processing
  • CS 448: Statistical Speech and Language Processing
  • CS 460: Dialog Systems
  • CS 484: Advanced Algorithms
  • LIN 461: Phrase Structure Grammars
  • CS 495: Independent Research
  • Human Computer Interaction
  • CS 410: Web Programming
  • CS 412: Human Computer Interaction
  • CS 440: Data Mining
  • CS 571: Probabilistic Theories of Cognitive Processing
  • CS 575: Seminar in HCI
  • BCS 511: Behavioral Methods
  • STT 422: Design of Experiments
  • CS 495: Independent Research
罗切斯特大学攻略

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