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  • DeadlineStudy Details:

    MSc 12 months full-time

Masters Degree Description

Every field in life sciences has been transformed by the use of computers. Bioinformatics is a rapidly developing field at the interface between life sciences, statistics and computational science focused on addressing key questions in biology through the development and application of methods, data analytics, and software. The ability to develop and apply computational methods to large and complex datasets will be a key driver of biological innovation in the next decades.

MSc Bioinformatics at Nottingham is aimed at students with a background in biological sciences who wish to develop skills in bioinformatics, statistics, computer programming, and data analytics skills for industry, future research careers, and more. The course is not aimed at students with a background in computer science.

The study programme incorporates the areas of:

  • computational biology, programming, and practice
  • evolutionary and comparative genomics
  • genomics and bioinformatics
  • cutting-edge technologies
  • advanced experimental design and analysis

Entry Requirements

2:1 in a relevant degree subject like sports science, human biology, epidemiology or human nutrition.

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Fees

For fees and funding options, please visit website to find out more.

Student Destinations

We have designed this intensive taught course to deliver a wide range of bioinformatics skills grounded in a solid understanding and appreciation of the underlying biology sciences. Graduates of the course are equipped with the skills to pursue employment or further study in a variety of areas.

We anticipate that many of our graduates will go on to undertake PhDs applying their bioinformatics skills to a wide range of problems and questions. In addition, we anticipate students will go on to a wide range of bioinformatics careers in industries such as healthcare and basic science research.

Module Details

Semester 1

  • Advanced Experimental Design and Analysis10 credits
  • Core Research Methods: Transferable Research Skills10 credits
  • Computational Biology, Programming and Practice20 credits
  • Comparative and Evolutionary Genomics

Semester 2

  • Bioinformatics Group Research Project

Semester 3

  • Bioinformatics Individual Research Project

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