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MSc Applied Bioinformatics

克兰菲尔德大学

Cranfield University

  • 学历文凭

    学历文凭

    Masters Degree (Taught)

  • 专业院系

    专业院系

    Environment and Agrifood

  • 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

A first or second class UK honours degree (or equivalent) in a life science, computer-science subject or candidates with appropriate professional experience.

The course is suitable for new graduates from a computer-science, life science or technology background who are interested in a career within the field of bioinformatics. The course is also ideal for professionals already working in the industry who would like to train to further their careers. The course is available on a full and part-time basis offering flexibility and support for those who wish to train whilst remaining in employment.
IELTS
IELTS Academic, IELTS Indicator, IELTS Online, IELTS for UKVI Academic - 6.5 overall and 5.5 in all skill components.

TOEFL
TOEFL iBT (we accept TOEFL iBT, TOEFL iBT Home Edition and TOEFL iBT Paper Edition) - 92 total and minimum skill component scores of 18 reading, 17 listening, 20 speaking and 17 writing.
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  • 雅思总分:6.5
  • 托福网考总分:92
  • 托福笔试总分:160
  • 其他语言考试:PTE Academic UKVI - 65 overall and 59 in all skill components.

CRICOS代码:
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课程简介

Over the past few years, bioinformatics has become the most exciting field in biology. This MSc course provides a unique hands-on learning experience in bioinformatics skills, by combining the latest advances in analysing high-throughput genomic, transcriptomic and metabolomics data.<br>Cranfield's Bioinformatics MSc is the first of its kind in the UK. With more than 200 alumni over the past 10 years, it became the most popular postgraduate course in bioinformatics in Europe. Because Cranfield is a solely postgraduate university it means that every single taught module of the Applied Bioinformatics MSc is uniquely tailored to be master's level. That's why it is the winner of the BBSRC's Master's Training Grant (MTG) award for the best course in life sciences. Our taught modules cover in great depth a plethora of programming languages typically applied in bioinformatics, such as Perl, Java, R and SQL, as well as modern web technologies, such as JavaEE, NoSQL and JavaScript. Furthermore, we have two dedicated taught modules focusing on established bioinformatics protocols for the latest next generation sequencing (NGS) and 3rd generation sequencing (3GS) technologies.
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