Master in Omic Data Analysis

General

Program Description

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.

Professional profile

Expert in Bioinformatics and Omics Data Analysis for research centers, universities, hospitals, and biotechnology and biomedical companies. The Master may also be the starting point in a research career.

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 2019 to 31 March 2020.

Program

Subjects Contents Credits
Bioinformatics
  • Programming and database management for Bioinformatics: Linux, Python, BioPython, MySQL, and iCloud
  • Statistical and data mining methods for omics data analysis. R and Bioconductor
4.0
Genomics
  • Genome Bioinformatics
  • Concepts of genomics and techniques for genomic data acquisition
  • Analysis of Complex Disease Association Studies
7.0
Transcriptomics
  • Concepts of transcriptomics and techniques for transcriptomic data acquisition
  • Analysis of Microarray gene expression data
  • Next Generation Sequencing analysis
7.0
Epigenomics
  • Concepts of epigenomics and techniques for epigenomic data acquisition
  • Epigenomics
5.0
Proteomics
  • Concepts of proteomics and metabolomics
  • Proteomics data analysis
  • Metabolomics data analysis
5.0
Interactomics
  • Concepts of interactomics
  • Systems Biology
  • Integrative Genomics
7.0
Applications Applications 10.0
Final Master Project Final Master Project 15.0

Applications (10 ECTS)

Course: Metagenomics

Course: Scientific communication

Conferences: A wide range of applications will be covered mainly by external collaborators from research centers and companies

  • Nutrigenomics
  • Neurogenomics
  • Pharmacogenomics
  • Genomics and animal breeding
  • Genomics and Aging
  • Genomics and Food science
  • Biodiversity

An emphasis will be given to applications that require the integration of different kind of omic data and biological knowledge (INTEGROMICS).

Final Master Project (15 ECTS)

The Final project can have a professional or research orientation.

For the professionally oriented project, the student will stay 3-4 months in a company where he/she will participate in a project performing focused and specialized activities related to the master content.

For the research-oriented project, the student will perform a research project within a research group in a research center or university.

All projects will have an internal supervisor, will conclude in a written Master thesis and will be exposed to a specialized committee.

Last updated September 2019

About the School

Universitat de Vic - Central University of Catalonia emerged from a regional and citizens’ initiative to continue with a university tradition that goes back to the Middle Ages. UVic-UCC is a public un ... Read More

Universitat de Vic - Central University of Catalonia emerged from a regional and citizens’ initiative to continue with a university tradition that goes back to the Middle Ages. UVic-UCC is a public university under private management. Read less