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Bachelor of Science in Computational Biology

伦斯勒理工学院

Rensselaer Polytechnic Institute

US美国

  • 学历文凭

    学历文凭

    Bachelor Degree

  • 专业院系

    专业院系

    Biological Sciences

  • 开学时间

    开学时间

  • 课程时长

    课程时长

  • 课程学费

    课程学费

    汇率提示

国际学生入学条件

Official copies of all academic transcripts from secondary schools, with English translations.

Test of English as a Foreign Language (TOEFL) - a minimum TOEFL score of at least 88 iBT
International English Language Testing System (IELTS) - a band score of at least 7.0
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  • 雅思总分:7
  • 托福网考总分:88
  • 托福笔试总分:160
  • 其他语言考试:Duolingo English Test (DET) - a minimum score of 115<br>Pearson's Test of English (PTE) - a PTE score of at least 59

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课程简介

Rensselaer is one of the few universities to offer an undergraduate program in this emerging field. Computational biology is the study of biological systems through computational and statistical modeling of large data sets. Through this program, students gain knowledge in biology, computer science, and information technology. Rensselaer is one of the few universities to offer an undergraduate program in this emerging and exciting field. This program trains next-generation biologists who can harness the ever-rising computational power and tools to solve crucial biological problems to change the world.<br><br>There are two concentrations within the program: biomolecular systems and ecological systems. The biomolecular systems concentration focusing on applying computational methods on a microscopic scale to the structure, dynamics and interactions of protein, nucleic acid, glycan, biomembrane and drug discovery. The ecological systems concentration focuses on applying computational methods to study and solve problems in large scale ecological systems, such as regional to global environmental changes.<br><br>Graduates are encouraged to continue their studies in one of the growing number of worldwide computational biology graduate programs. Those who enter the workforce following graduation often are hired into sectors including the pharmaceutical industry, medical informatics, agricultural bioinformatics, government agencies and national labs, database management companies, or the biotechnology industry.
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