Basic information
Type | Master's degree |
---|---|
Faculty or school | Faculty of Biology |
Branch of knowledge | Biomedical sciences, Computer and systems engineering, Mathematics and statistics |
Mode of delivery | Presencial |
Credits | 120 |
Number of places available | 30 |
Length of course | 2 academic years |
Language(s) of instruction | English |
Coordination | MARTA CASCANTE SERRATOSA |
Course details | Indicators |
Open pre-enrolment | No |
Open enrolment | No |
Lead to doctoral studies | Yes |
Admission for applicants not holding a degree qualification | No |
Main university information | Master's degree course homepage |
Interuniversity | Yes |
Main university | Universitat Pompeu Fabra |
Universities |
|
Bridging courses | No |
Objectives and competences
Objectives
Competences
- Genome bioinformatics: analysis, alignment, comparison and automatic annotation of biological sequences; analysis of genome evolution and variation; molecular biology databases.
- Structural bioinformatics: introduction to the experimental methods used in the structural prediction of biomolecules, with ab initio protein modelling and homology modelling, and the simulation of biomolecular systems, including energy predictions and molecular interaction.
- Computational systems biology: description of biological networks and gene, protein and metabolic network modelling; analysis of large bodies of data in "omic" technologies.
- Pharmaceutical chemoinformatics: molecular library management and its virtual filters, computer-assisted drug design and quantitative and 3D quantitative structure-activity relationship correlation.
- Biomedical computing: clinical-health information systems, biomedical image analysis, studies in genotype-phenotype relations and computer systems to assist decision making procedures in health care.
This master's degree will also include training in general interest, cross-disciplinary subjects such as algorithms and programming, data analysis and management, text mining and notions of bioethics and data protection applied to bioinformatics.
Access and admission
Applicant profile and access requirements
Recommended applicant profile
Access requirements and conditions
Admission requirements and selection criteria:Because Bioinformatics is an interdisciplinary science this master's degree program is suitable for applicants from a broad range of academic backgrounds, from health and life sciences, engineering or exact sciences and from non-biological experimental sciences.
Pre-enrolment
Calendar
The pre-enrolment period opens as of January and closes, at the latest, in September. Each centre and each master's degree can establish their specific periods within this general period.Required documentation
Selection criteria
Notification
Enrolment
As a general rule, at the UB you will be required to enrol online via the Món UB portal. To find out the date and time you have been assigned, check the specific information for your course. Remember that you can lose your place if you do not enrol on the day you have been assigned.
Academic information
- Documents required for enrolment
- Procedure to formalize enrolment
- After enrolment
- Grants and financial aid
Welcome
Support and guidance
Pre-enrolment information and events
Course curriculum
Subjects and course plans
Distribution of credits
Type | ECTS |
---|---|
Compulsory | 20 |
Optional | 60 |
Compulsory placements | 0 |
Compulsory final project | 40 |
TOTAL | 120 |
List of subjects
Subject | Type | Language | Credits |
---|---|---|---|
Specialization: Bioinformatics for Health Sciences | |||
Advanced Bioinformatics and Genomics | Optional | 5 | |
Applied Genomics: Genome-Fenome Analysis in Human Health | Optional | 5 | |
Bioinformatic Principles and Genome Analysis | Compulsory | 5 | |
Biomedical Data Analysis | Optional | 5 | |
Computational Modelling in Systems Biology | Optional | 5 | |
Computer-Assisted Drug Discovery | Optional | 5 | |
Databases and Web Design | Optional | 5 | |
Final Master Thesis | Compulsory | 10 | |
Genomics and Systems | Optional | 5 | |
Information Extraction in 'OMIC' Technologies | Compulsory | 5 | |
Introduction to Algorithms | Optional | 5 | |
Introduction to Biomedicine | Optional | 5 | |
Introduction to Perl | Optional | 5 | |
Introduction to Python 3 | Optional | 5 | |
Molecular Simulations | Optional | 5 | |
Research in Bioinformatics | Compulsory | 30 | |
Research Project Design and Management | Compulsory | 15 | |
Science in Action | Compulsory | 5 | |
Structural Bioinformatics | Compulsory | 5 | |
Subjects in Biocomputation | Optional | 5 | |
Subjects in Mathematics | Optional | 5 |
Previous years
Placements
Placements in a company or another type of organization are an integral part of university studies, providing first-hand experience of working methodologies in students' chosen professional fields. They offer invaluable practical experience for the transition into work after graduation.
Placements are supervised by tutors and subject to assessment. They are therefore included in the academic record. There is also an option to complete non-curricular placements of up to 500 hours, which can be extended to 900 hours. For both curricular and non-curricular placements, an educational cooperation agreement is signed between the UB and the company, institution or other organization at which the placement will be carried out.
Institutional information