工程与应用科学

计算机科学

MS in Computer Science

杜兰大学

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

暂无

奖学政策

暂无

学年学制

1 - 4 years,8 courses

所在校区

暂无

录取要求

Be enrolled in a B.S. program in one of Tulane University's SSE degree-awarding programs.

Have a GPA of at least 3.4

Submit GRE scores

Fill out an application form at: http://tulane.edu/sse/academics/graduate/computational.cfm

Request one letter of recommendation from the student's advisor at Tulane

申请材料清单

立即申请

For most programs, prospective graduate students must take the General Test of the Graduate Record Examination (GRE). Exceptions include 4+1 MS programs (open only to Tulane students) and the MS in Cell & Molecular Biology (which also accepts MCAT). Applicants to the masters and Ph.D. programs should submit official test scores for the GRE using school code 6173.

International applicants must also demonstrate English proficiency, typically established through the Test of English as a Foreign Language (TOEFL) or the International English Language Testing System (IELTS). Official test scores for the TOEFL use the school code 6173. The School may waive these tests for students who earned bachelor's degrees at universities whose courses are taught in English.

截止申请时间:

June 30,2018

专业介绍

The Center for Computational Science offers a Masters degree in Computational Science in combination with a student's B.S. degree in Science or Engineering. This is known as a "4+1" program. Tulane undergraduate students can earn the masters degree along with their B.S. in just 1 extra year at reduced tuition. All engineering and science majors can apply.

The 4+1 Masters programs at Tulane University provide Tulane undergraduates with the opportunity to earn a masters degree in a single year following the completion of the bachelor’s degree. Tuition for the 4+1 masters programs in the School of Science and Engineering is 35% of regular graduate tuition.

课程设置

  • C++ Programming for Scientists and Engineers

  • Large Scale Computation

  • Computational Models of Biological Systems

  • Analyical Methods of Applied Mathematics

  • Data Analysis

  • Scientific Computing II (numerical linear algebra)

  • Large Scale Computation

  • Data Visualization

  • Scientific Computing III (numerical PDE)

  • Computational Quantum Chemistry

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