Master Plan
The master on "Computational Biotechnology" is an official master degree granted by the Spanish Ministry of Education and Science. It is a science-oriented master focused on the analysis of biological data in a biotechnology environment.
Objectives
The objective of this master is to provide technological as well as biotechnological professionals with the necessary background for solving data analysis problems in biotechnology. The master carefully balances the biotechnological studies with the technical ones. The master is focused on the practical aspects of the problem and all courses have practices either on a wet lab or a computer.
Escrito por asantos el 27 de junio de 2007 16:23:00 CEST
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Title
Master in Computational Biotechnology. Official Master Degree granted by the Spanish Ministry of Education and Science.
Escrito por asantos el 27 de junio de 2007 16:22:00 CEST
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Organization
The master is organized in 6 modules: 1 for student's background adaptation, 2 for biotechnology, 2 for data analysis, and 1 for bioinformatics. The adaptation module is aimed to complement during 7 weeks the student's background in the discipline (biology or computer science) that is not her major. Therefore, a student must follow either the biotechnological adaptation or the computational adaptation. The rest of the modules are taken by all students.
Escrito por asantos el 27 de junio de 2007 16:22:00 CEST
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Program
Module 1A. Biotechnological adaptation (10 ECTS)
BT0.1.- Adaptation 1 (6 ECTS)
BT0.2.- Adaptation 2 (4 ECTS)
Module 1B. Computational adaptation (10 ECTS)
DA0.1.- Adaptation 1 (6 ECTS)
DA0.2.- Adaptation 2 (4 ECTS)
Module 2. Data Analysis 1 (14 ECTS)
DA1.1.- Statistical inference, Regression and
Experiment design (5 ECTS)
DA1.2.- Multivariate data analysis (3 ECTS)
DA1.3.- Bayesian networks (3 ECTS)
DA1.4.- Neural networks (3 ECTS)
Module 3. Biotechnology 1 (14 ECTS)
BT1.1.- Molecular biology and
Recombinant DNA technology (5 ECTS)
BT1.2.- Sequencing, genotyping and transcriptomics (3 ECTS)
BT1.3.- Proteomics (3 ECTS)
BT1.4.- Metabolomics (3 ECTS)
Module 4. Data analysis 2 (11 ECTS)
DA2.1.- Classification and clustering (5 ECTS)
DA2.2.- Dynamic models (3 ECTS)
DA2.3.- Associative rules, logic networks and grammars(3 ECTS)
Module 5. Biotechnology 2 (11 ECTS)
BT2.1.- Structural biology and protein engineering (3 ECTS)
BT2.2.- Biotechnology (4 ECTS)
BT2.3.- Synthetic and systems biology (4 ECTS)
Module 6. Bioinformatics (15 ECTS)
BI.1.- Bioinformatic databases and literature analysis(3 ECTS)
BI.2.- DNA, protein and structure analysis (7 ECTS)
BI.3.- Interaction networks and arrays analysis (5 ECTS)
Finally, the student must perform a master thesis of 15 ECTS.
BT0.1.- Adaptation 1 (6 ECTS)
BT0.2.- Adaptation 2 (4 ECTS)
Module 1B. Computational adaptation (10 ECTS)
DA0.1.- Adaptation 1 (6 ECTS)
DA0.2.- Adaptation 2 (4 ECTS)
Module 2. Data Analysis 1 (14 ECTS)
DA1.1.- Statistical inference, Regression and
Experiment design (5 ECTS)
DA1.2.- Multivariate data analysis (3 ECTS)
DA1.3.- Bayesian networks (3 ECTS)
DA1.4.- Neural networks (3 ECTS)
Module 3. Biotechnology 1 (14 ECTS)
BT1.1.- Molecular biology and
Recombinant DNA technology (5 ECTS)
BT1.2.- Sequencing, genotyping and transcriptomics (3 ECTS)
BT1.3.- Proteomics (3 ECTS)
BT1.4.- Metabolomics (3 ECTS)
Module 4. Data analysis 2 (11 ECTS)
DA2.1.- Classification and clustering (5 ECTS)
DA2.2.- Dynamic models (3 ECTS)
DA2.3.- Associative rules, logic networks and grammars(3 ECTS)
Module 5. Biotechnology 2 (11 ECTS)
BT2.1.- Structural biology and protein engineering (3 ECTS)
BT2.2.- Biotechnology (4 ECTS)
BT2.3.- Synthetic and systems biology (4 ECTS)
Module 6. Bioinformatics (15 ECTS)
BI.1.- Bioinformatic databases and literature analysis(3 ECTS)
BI.2.- DNA, protein and structure analysis (7 ECTS)
BI.3.- Interaction networks and arrays analysis (5 ECTS)
Finally, the student must perform a master thesis of 15 ECTS.
Escrito por asantos el 27 de junio de 2007 16:21:00 CEST
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