Bachelors degree in bioinformatics
Bachelors degree in bioinformatics : Introduction
- Health Sciences. Life Sciences. Computer Sciences.
- Bachelor's Degree in Bioinformatics
- 3 years
- 180 ECTS
- REQUIRED SUBJECTS
- 92 ECTS
- CORE SUBJECTS
- 48 ECTS
- ELECTIVE SUBJECTS
- 20 ECTS
- COMPANY INTERNSHIP
- BACHELOR'S DEGREE FINAL PROJECT
- 20 ECTS
- 100 % of subjects taught in English
- Subjects assessed at the end of each term
- 40 students
- TUITION FEES
- €132 / ECTS
- Main class location
Dr. Aiguader Building
Pompeu Fabra University (UPF), Universitat Politècnica de Catalunya–BarcelonaTech (UPC), University of Barcelona (UB) and the Universitat Autònoma de Barcelona (UAB) offer a three-year Bachelor’s Degree in Bioinformatics taught entirely in English. The degree is managed by ESCI-UPF and classes are taught mainly on the Mar Campus.
Bioinformatics lies at the crossroads of computing, biomedical sciences and physics and chemistry. It is an area of research that applies computer sciences and information technology to process data from the field of biology.
Researchers and professionals in the field of biomedicine and other areas of the life sciences are frequently overloaded with large amounts of data from a wide range of devices. The ability to process, visualise and analyse this big data offers tremendous opportunities for improving our understanding of biology and making new advances in medicine, agriculture and the food industry. The major challenge facing professionals in the field is to speed up the rate at which new discoveries can be turned into better health, more effective healthcare and greater economic and social progress in society.
The Bachelor’s Degree in Bioinformatics brings together mathematical skills, computer modelling and biological knowledge with an interdisciplinary focus, with particular emphasis on biomedical applications. It provides comprehensive education and training based on knowledge, values and skills.
This bachelor’s degree will:
- Train professionals to work in the fields of research, development and innovation.
- Meet the growing demand for professionals able to process biomedical and biological data.
- Offer an international perspective, including management skills.
- Equip students with the skills and competences to develop a professional career in companies or institutions or to set up their own entrepreneurial initiatives.
The course content is delivered through masterclasses, computing classes and lab work. There are also seminars and individual and group tutorials.
Competences and skills
Graduates will acquire the competences to:
Apply techniques, tools and skills in the practice of bioinformatics.
Apply their expertise in computing, statistics, mathematics and health and life sciences to the field of bioinformatics.
- Analyse a problem and identify and define the necessary computing solutions.
- Design, apply and assess a system, process, component or computer program to meet needs in the field.
Apply mathematical knowledge, algorithmic principles and computing theories to model and design computing systems.
Apply statistical and computing models to solve problems in molecular biology, genomics, medical research and population genetics.
- Understand the process of scientific discovery and the role of bioinformatics.
Students should have a good grounding in science, logical reasoning skills, an ability to handle abstract models and good observation, attention and concentration skills. They should also be creative, imaginative and innovative and have an interest in the life sciences and medicine.
Given that bioinformatics is a multidisciplinary field of science and technology at the crossroads of computing and life sciences, graduates have openings in several fields of expertise:
- Biomedicine: integrating omics and clinical data to make progress in personalised precision medicine.
- Biology: processing and interpreting omics data for enhanced animal and plant genetics.
- Pharmacology: managing chemical, pharmacological, toxicological and clinical data during the process of discovering, developing and using new drugs.
- Bioinformatics scientist
- Data analysis
- Quality controller
- R&D researcher at universities and companies