工程与应用科学

计算机科学

MS in Computer Science

华盛顿大学圣路易斯分...

学院名称

暂无

专业编号

专业排名

计算机科学专业排名暂无排名 ,US News 2018

招生人数

全球范围内招收学生暂无,秋季 2018

学年学费

$ 25,325

奖学政策

暂无

学年学制

30 credits

所在校区

暂无

录取要求

All students in the MS in Computer Science program must have previously completed (as documented by their

undergraduate transcript), successfully test to place out of, or complete at the start of their program, the following

courses: CSE 501N Programming Concepts and Practice and CSE 502N Fundamentals of Computer Science.

申请材料清单

立即申请

Application Fee ($75)

Fees are payable by credit card or electronic-check issued from a United States banking institution.

Application fee waiver may be requested by domestic applicants with financial need.

Unofficial copies of all transcripts

Transcripts must list the applicant’s name, name of the institution, and all grades received, in English.

Include full academic history – undergraduate and graduate transcripts

Three Letters of Recommendation

Input recommendation providers' names and email addresses. Recommendation providers are automatically sent an

email requesting a recommendation.

Paper and email recommendations will not be accepted.
The recommendations must be posted by the published deadline for final application submission.

Statement of Purpose & Resume/CV

The Statement of Purpose should be a brief document explaining your goals and ambitions.

Current Resume or Curriculum Vitae is to be uploaded in the section immediately following the Statement of Purpose.

GRE Scores

GRE scores are required for all PhD and full-time Master’s applicants with the exception of applicants to the M. Eng. in

Biomedical Innovation degree program.

GRE scores are not required for applicants to part-time Master’s or the Bachelor’s/Master’s programs.

If submitting scores, applicants must report their official scores via ETS at the time of application submission for evaluation purposes. The WashU School Code is 6929.


TOEFL/IELTS

Required for all international applicants.

Applicants must report their official score TOEFL via ETS at the time of application submission for evaluation purposes. The WashU School Code is 6929.

We only accept paper copies of the official IELTS score report sent to our institution; electronic copies are not accepted. The address is:

WashU School of Engineering & Applied Science

Attention: Graduate Admissions

1 Brookings Drive, CB 1220

St. Louis, MO 63130

Note: This requirement may be waived if the applicant has a minimum of three years of documented study at an

English-speaking institution, in a country where English is the primary language of daily living. Based on the evaluation

of your application package, we retain the right to require English testing upon arrival and you may be required to take

additional English classes. If you are recommended to take English classes, the cost of the courses will be your

responsibility.


截止申请时间:

1-Mar

专业介绍

The MS in Computer Science is directed toward students with a computer science background who are looking for a program and course work that is more software-focused. It can be either a pure course option program, or it can incorporate either a project or a thesis.

推荐课程

  • E81 CSE 500 Independent Study

  • E81 CSE 501N Programming Concepts and Practice

  • E81 CSE 502N Fundamentals of Computer Science

  • E81 CSE 503S Rapid Prototype Development and Creative Programming

  • E81 CSE 504N Object-Oriented Software Development Laboratory

  • E81 CSE 505N Introduction to Digital Logic and Computer Design

  • E81 CSE 506M Principle and Methods of Micro- and Nanofabrication

  • E81 CSE 507A Technology Entrepreneurship

  • E81 CSE 511A Introduction to Artificial Intelligence

  • E81 CSE 513T Theory of Artificial Intelligence and Machine Learning

  • E81 CSE 514A Data Mining

  • E81 CSE 515T Bayesian Methods in Machine Learning

  • E81 CSE 516A Multi-Agent Systems

  • E81 CSE 517A Machine Learning

  • E81 CSE 519T Advanced Machine Learning

  • E81 CSE 520S Real-Time Systems

  • E81 CSE 521S Wireless Sensor Networks

  • E81 CSE 522S Advanced Operating Systems

  • E81 CSE 523S Systems Security

  • E81 CSE 530S Database Management Systems

  • E81 CSE 531S Theory of Compiling and Language Translation

  • E81 CSE 532S Advanced Multiparadigm Software Development

  • E81 CSE 536S Distributed System Design: Models and Languages

  • E81 CSE 538T Modeling and Performance Evaluation of Interconnected Computer Systems

  • E81 CSE 539S Concepts in Multicore Computing

  • E81 CSE 541T Advanced Algorithms

  • E81 CSE 542T Advanced Data Structures and Algorithms

  • E81 CSE 543T Algorithms for Nonlinear Optimization

  • E81 CSE 544T Special Topics in Computer Science Theory

  • E81 CSE 546T Computational Geometry

  • E81 CSE 547T Introduction to Formal Languages and Automata

  • E81 CSE 548T Concurrent Systems: Design and Verification

  • E81 CSE 549T Theory of Parallel Systems

  • E81 CSE 552A Advanced Computer Graphics

  • E81 CSE 553S Advanced Mobile Robotics

  • E81 CSE 554A Geometric Computing for Biomedicine

  • E81 CSE 555A Computational Photography

  • E81 CSE 556A Human-Computer Interaction Methods

  • E81 CSE 557A Information Visualization

  • E81 CSE 558A Motion Planning

  • E81 CSE 559A Computer Vision

  • E81 CSE 560M Computer Systems Architecture I

  • E81 CSE 561M Computer Systems Architecture II

  • E81 CSE 564M Advanced Digital Systems Engineering

  • E81 CSE 565M Acceleration of Algorithms in Reconfigurable Logic

  • E81 CSE 566S High Performance Computer Systems

  • E81 CSE 567M Computer Systems Analysis

  • E81 CSE 568M Imaging Sensors

  • E81 CSE 569M Parallel Architectures and Algorithms

  • E81 CSE 570S Recent Advances in Networking

  • E81 CSE 571S Network Security

  • E81 CSE 573S Protocols for Computer Networks

  • E81 CSE 574S Wireless and Mobile Networking

  • E81 CSE 577M Design and Analysis of Switching Systems

  • E81 CSE 581T Approximation Algorithms

  • E81 CSE 582T Complexity Theory

  • E81 CSE 583A Topics in Computational Molecular Biology

  • E81 CSE 584A Algorithms for Biosequence Comparison

  • E81 CSE 587A Algorithms for Computational Biology

  • E81 CSE 699 Doctoral Research

  • E81 CSE 7100 Research Seminar on Machine Learning

  • E81 CSE 7200 Research Seminar on Robotics and Human-Computer Interaction

  • E81 CSE 7300 Research Seminar on Software Systems

  • E81 CSE 7400 Research Seminar on Algorithms and Theory

  • E81 CSE 7500 Research Seminar on Graphics and Vision

  • E81 CSE 7600 Research Seminar on Analog Computing

  • E81 CSE 7700 Research Seminar on Networking and Communications

  • E81 CSE 7800 Research Seminar on Computational Systems Biology

  • E81 CSE 7900 Research Seminar on Parallel Computing

  • E81 CSE 801 Pedagogy

  • E81 CSE 883 Master's Continuing Student Status

招生处联系方式
请长按下方链接,复制粘贴到微信进行分享:
  • 微信

  • 朋友圈

  • QQ

  • 新浪微博

取消
版权申明 | 意见反馈 | 联系我们 | 关于我们
© 2011-2024 ZHAN.com All Rights Reserved.
沪ICP备13042692号-23
沪公网安备 31010602002658号
增值电信业务经营许可证:沪B2-20180682