首页留学 名校
工程与应用科学

计算机科学

MS in Computer Science

芝加哥大学

学院名称

暂无

专业编号

标准考试成绩要求
  • TOEFL104  

  • IELTS7  

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

$5802 per course

奖学政策

暂无

学年学制

9-course/12-course

所在校区

暂无

录取要求

    As a graduate student at one of the world’s premier universities, you will be a member of a unique and distinguished intellectual community and enjoy the many benefits of academic life that the University of Chicago offers.
    A masters in computer science degree will signify to the industry your deep understanding of the foundations of applied computing and will attest to your new and critical skills in the evolving field of technology.
    The minimum required score for the TOEFL is 104 overall, with 4 sub scores of 26 each.
Minimum required scores in the IELTS are an overall score of 7, with sub scores of 7 each. (Note: students are required to take the Academic Reading/Writing test within IELTS, not the General Training Reading/Writing test).


GRE/GMAT:
    Admission to the MPCS is highly competitive and GRE or GMAT scores are required for all applicants to the program. We specifically look for strong evidence of quantitative ability as seen in the quantitative section of these exams. Please submit official scores with your application.

GRE - The University of Chicago's school code is 1832.

The GMAT code for University of Chicago - Masters Program in Computer Science is H9x-WG-56.

   The MPCS does not have minimum GRE or GMAT requirements, however, successful applicants have earned the following scores in the General GRE or GMAT tests:

Verbal: 50th percentile and above
Quantitative: 80th percentile and above
GRE Subject Test scores are not required.

申请材料清单

立即申请

Completed online application:All of your materials should be submitted electronically through the online application. We do not accept additional materials sent on paper.

Select start quarter / Program of Study

Essay questions

Resume

Three recommendation letters:Recommendation letters can be professional or academic.

Official GRE/GMAT scores

Official TOEFL/IELTS scores (if required)

Transcripts

Application Fee:$90


截止申请时间:

5-Jan,6-Apr,1-Aug

专业介绍

Our mission is to provide students a deep foundation in computer science and the essentials skills required for a successful career in technology. Our rigorous curriculum covers theory, programming and applications. Graduates of the MPCS are in demand by top companies for their ability to contribute immediately in technically challenging roles as well as adapt quickly to rapidly evolving technologies.

Our philosophy is simple and straight-forward: we strive to offer a personalized, flexible, challenging, and rewarding graduate program that covers the essentials of contemporary applied computer science. In doing so, we emphasize the enduring foundations of the field and adhere to a pragmatic style of instruction - blending the best of the art and the science of computing.

Our coursework represents a realistic balance between the foundation courses (such as programming languages, algorithms, databases, computer systems, etc.) and the applied courses (such as application development, machine learning, data analytics, etc.). We challenge our students to think creatively and we enhance the learning experience with technical projects.

Our distinguished faculty in the Masters Program in Computer Science are business professionals, entrepreneurs, scholars, and industry experts. Students have numerous opportunities to interact with and learn from our faculty both within and beyond the computer science program.


课程设置

  • 9-course:

  • Algorithms: MPCS 55001 Algorithms

  • MPCS 55003 Intermediate Algorithms

  • MPCS 55005 Advanced Algorithms

  • Programming: MPCS 51036 Java Programming

  • MPCS 51040 C Programming

  • MPCS 51043 Swift Programming

  • MPCS 51100 Advanced Programming

  • Computer Systems, Networks and Architecture: MPCS 53001 Databases

  • MPCS 53003 Advanced Databases

  • MPCS 52011 Introduction to Computer Systems

  • MPCS 51300 Compilers

  • MPCS 54001 Networks

  • MPCS 52010 Computer Architecture

  • MPCS 51400 Functional Programming

  • MPCS 52030 Operating Systems

  • MPCS 52040 Distributed Systems

  • 12-course:

  • 1. Complete 6 core courses (OR 5 core courses + 4 specialization courses)

  • (1) Algorithms course

  • (1) Programming course

  • (3) Computer Systems, Networks and Architectures courses

  • (1) Additional Algorithms or Computer Systems, Networks and Architectures core course, or a practicum course. Courses that satisfy each core area:

  • Algorithms:

  • MPCS 55001 Algorithms

  • MPCS 55003 Intermediate Algorithms

  • MPCS 55005 Advanced Algorithms

  • Programming: MPCS 51036 Java Programming

  • MPCS 51040 C Programming

  • MPCS 51042 Python Programming

  • MPCS 51043 Swift Programming

  • MPCS 51100 Advanced Programming

  • Computer Systems, Networks and Architecture: MPCS 53001 Databases

  • MPCS 53003 Advanced Databases

  • MPCS 52011 Introduction to Computer Systems

  • MPCS 51300 Compilers

  • MPCS 54001 Networks

  • MPCS 51020 Computer Architecture

  • MPCS 51400 Functional Programming

  • MPCS 52030 Operating Systems

  • MPCS 52040 Distributed Systems

  • 2. Complete three (3) specialization courses (OR 5 core courses + 4 specialization courses): Software Engineering MPCS 51030 iOS Application Development

  • MPCS 51240 Product Management

  • MPCS 51230 User Interface and User Experience Design

  • MPCS 51200 Introduction to Software Engineering

  • MPCS 51044 C++ for Advanced Programmers

  • MPCS 52553 Web Development

  • MPCS 51050 OO Architecture: Patterns, Technologies, Implementations

  • MPCS 51031 Android App Development

  • MPCS 51220 Applied Software Engineering

  • MPCS 51221 Applied Software Engineering II

  • High Performance Computing MPCS 55005 Advanced Algorithms

  • MPCS 58001 Numerical Methods

  • MPCS 51087 High Performance Computing

  • MPCS 51083 Cloud Computing

  • MPCS 56420 Bioinformatics for Computer Scientists

  • MPCS 58020 Time Series Analysis and Stochastic Processes

  • Data Analytics MPCS 51083 Cloud Computing

  • MPCS 53110 Foundations of Computational Data Analysis

  • MPCS 53003 Advanced Databases

  • MPCS 53013 Big Data

  • MPCS 53111 Machine Learning

  • MPCS 53112 Advanced Data Analytics

  • MPCS 53120 Applied Data Analysis

  • MPCS 56420 Bioinformatics for Computer Scientists

  • Mobile Computing MPCS 51030 iOS Application Development

  • MPCS 51031 Android Application Development

  • MPCS 51032 Advanced iOS

  • MPCS 51033 Backends for Mobile Applications

  • MPCS 51230 User Interface and User Experience Design

  • MPCS 51034 React Native Application Development

  • 3. Complete three (3) elective courses.

  • 4. No double counting of classes. No course may fulfill more than one requirement.

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