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University of Milan Master's Degree in Molecular Biotechnology and Bioinformatics

University of Milan

Master's Degree in Molecular Biotechnology and Bioinformatics

Milan, Italy

2 Years

English

Full time

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On-Campus

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Key Summary

    About: The Master's Degree in Molecular Biotechnology and Bioinformatics focuses on integrating molecular biology, biotechnology, and bioinformatics. The program combines laboratory-based research with computational analysis, preparing students for modern challenges in the life sciences sector.
    Career Outcomes: Graduates can pursue diverse careers, including biochemist, biotech researcher, or bioinformatics analyst. They may find opportunities in academia, pharmaceutical companies, or healthcare institutions, leveraging their expertise to contribute to advancements in biotechnology and data analysis.

Introduction

The programme aims to provide students with advanced skills in molecular biotechnology, computational biology, and bioinformatics, with a strong focus on the most advanced tools and approaches for the analysis of genomes, proteomes, and metabolomes. Entirely taught in English, the degree combines lecture-based courses with an experimental laboratory project leading to a dissertation to be chosen among projects offered by the University and other research institutes.

The MB&B Master's degree aims to provide students with advanced skills in molecular biotechnology, computational biology, and bioinformatics, with a strong focus on the most advanced tools and approaches for the analysis of genomes, proteomes, and metabolomes. The main goal of the MB&B Master's degree is to give the students the broad theoretical and practical background needed to apply their knowledge to various biological/biotechnology problems.

A specific goal of MB&B includes providing deep and up-to-date knowledge in the following core subjects:

  • Bioinformatics
  • Molecular biology and biotechnology
  • Functional genomics and "-omics" technologies
  • Protein expression systems
  • Metabolic engineering and industrial processes
  • Structural biochemistry
  • Molecular enzymology
  • Data analysis

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