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Universitat de Vic Master in Omic Data Analysis
Universitat de Vic

Master in Omic Data Analysis

1 Years

English

Part time

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EUR 5,542 / per year

Distance Learning, On-Campus

Key Summary

    About: The Master in Omic Data Analysis is designed to equip students with the skills needed to analyze and interpret large-scale biological data. The curriculum covers topics such as genomics, transcriptomics, and proteomics, using various computational tools and methodologies. This program typically lasts for two years and offers a blend of theoretical knowledge and practical experience through hands-on projects and research.
    Career Outcomes: Graduates can pursue careers in fields like bioinformatics, biostatistics, and life sciences. Potential roles include positions as data analysts, research scientists, or bioinformatics specialists in academia, healthcare, or biotechnology industries.

Introduction

The aim of the Master is to produce well-trained professionals in Bioinformatics and Omics Data Analysis who after graduation would be able to perform efficient and rigorous analysis of large amounts of genetic and molecular data in a wide range of applications.

The master responds to the growing use of high-throughput omics techniques, both in the context of biomedical research and in the pharmaceutical and biotechnology industries and to the increasing demand for highly qualified professionals in this field.

The program covers genomics, epigenomics, transcriptomics, proteomics, metabolomics, metagenomics, interactomics, and integromics and provides knowledge of the most important techniques for omic data acquisition and analysis. The students will be able to analyze omics data information using appropriate statistical and bioinformatics tools.

The teaching methodology, in collaboration with research centers and companies in the field, will ensure that a wide range of applications is covered.

General Information

  • Location: BAU, Carrer Pujades, 118 Barcelona (location)
  • Language: English
  • Timetable: 3 pm to 7 pm Monday through Thursday
  • Classes: In-person or online (video lectures), from 15 October to 31 March.
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Curriculum

Career Opportunities

Program Admission Requirements

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