Bachelor's degree in Bioinformatics (interuniversity UPC-UB-UAB-UPF degree)

Barcelona School of Informatics (FIB)

Barcelona School of Telecommunications Engineering (ETSETB)

The bachelor's degree in Bioinformatics, which is taught entirely in English and coordinated by the Barcelona School of Informatics (FIB) of UPC and in which the UAB, the UB and the UPF participate, brings together mathematical skills, computational modelling and biological knowledge in an interdisciplinary focus that emphasises biomedical applications.

The main challenge faced by professionals in the sector is to speed up the conversion of new discoveries into better health, more effective healthcare and greater social and economic progress. Researchers and professionals in the biomedical field and other areas of the life sciences are often overloaded with large amounts of data obtained from a wide range of devices. The ability to process, visualise and analyse these large amounts of data provides enormous opportunities for improving our understanding of biology and make new advances in medicine, agriculture and the food industry.

General details

Duration: 4 academic years
Study load: 240 ECTS credits (including the bachelor's thesis). One credit is equivalent to a study load of 25-30 hours.
Delivery: Face-to-face
Admission mark 2025-2026 academic year: 10,900
Language of instruction: English
Information on language use in the classroom and students’ language rights.
Fees and grants: Approximate fees per academic year: €1,061 (€1,800 for non-EU residents ). Consult the public fees system based on income (grants and payment options).
Location: Barcelona School of Informatics (FIB) (coordinating school)
Barcelona School of Telecommunications Engineering (ETSETB)
Official degree: Recorded in the Ministry of Science, Innovation and Universities

Admission

Places: 50
Pre-enrolment code: 91917
Places via a change of degree: 3
Admission mark 2025-2026 academic year: 10,900. Admission mark
Weighting. University entrance examinations (PAU): Weighting. University entrance examinations (PAU)
Registration and enrolment: What are the requirements to enrol in a bachelor's degree course?
CFGS credit transfer: Consult the university studies search engine of the Universities Channel of the Generalitat de Catalunya
Legalisation of foreign documents: All documents issued in non-EU countries must be legalised and bear the corresponding apostille.

Curriculum

First semester

Second semester

Applied Programming II 6
Biochemistry 6
Calculus 6
Computer Architecture and Operating Systems 6
Molecular Biology 6

Third semester

Fourth semester

Fifth semester

Sixth semester

High Performance Computing 6
Machine Learning 6
Omics Techniques 6
Phylogenomics and Comparative Genomics 6
Structural Bioinformatics 6

Seventh semester

Advanced Machine Learning 6
Advanced Methods of Data Processing and Management 6
Advanced Techniques in Molecular Biochemistry and Biology 6
Applications to Genomic Science 3
Bioethics 3
Cancer Genetics 6
Data Management 6
Design and Evaluation of Bioactive Molecules 6
Diagnosing and Image Techniques 6
Experimental Design and Data Analysis 6
Human Genetics 6
Innovation Project 6
Introduction to Research 6
Legal Aspects and Projects Management 6
Machine Learning Paradigms 6
Macromolecules Structure 6
Medical Genetics 6
Pharmacology 6
Quantitative Genetics and Improvement 6
Software Engineering 6

Eighth semester

Ethics and Scientific Communication 6
Bachelor's Thesis 24

CompulsoryECTS
OptionalECTS
ProjectECTS

Professional opportunities

Professional opportunities

The bachelor's degree in Bioinformatics trains the professionals who will act in an era in which research, development and innovation are of increasing importance and who will be the driving force behind research institutions and innovative companies in the strategic sectors of medical technology, biotechnology, health and biomedicine in general. Given that bioinformatics is a multidisciplinary scientific and technological field, graduates in Bioinformatics have employment options in a range of areas.

Biomedicine: integrating omics and clinical data to advance in personalised precision medicine.
Biological research: all branches of biology are joining the big data revolution and require professionals who are interested in biology and have the capacity to analyse large quantities of data.
Pharmacology: managing chemical, pharmacological, toxicological and clinical data during the process that leads to discovering, developing and using new medicines.
Programming and development of computational tools and methods.
Data analysis and artificial intelligence.
Quality control.
R&D departments at universities and businesses.
Teaching and research in the field of bioinformatics.