Objectives and competences
Disciplines such as molecular biology, medicine, veterinary science and agronomy generate a large amount of data. To make the most of omic data and advance in these disciplines, professions are required who can handle, analyse and interpret data, including experts in bioinformatics, genomics, computational biology or biocomputing.
The university master's degree in Bioinformatics and Biostatistics at the UOC and UB is particularly well-adapted to current needs. The course contents provide a balance of bioinformatics and biostatistics subjects, and enable students to develop competences in data management, artificial intelligence, modelling and statistical analysis of bioinformatics problems.
The master's degree is mainly aimed at university graduates in computer engineering, mathematics, statistics, biology, medicine, pharmacy or other degrees in engineering, sciences or health sciences who wish to specialize in this field.
Students will take compulsory subjects to gain basic knowledge of bioinformatics and biostatistics and learn how to use specialized software in the field at advanced level.
The master's degree is flexible and offers optional subjects, so that students can specialize in the aspects that are of most interest to them. The optional subjects include topics such as software for bioinformatics, trends in the bioinformatics sector, molecular and structural biology, design and analysis of experiments, survival analysis, multivariate analysis, and automatic learning (machine learning), as well as the opportunity to carry out company placements.
The master's degree is mainly aimed at university graduates in computer engineering, mathematics, statistics, biology, medicine, pharmacy or other degrees in engineering, sciences or health sciences who wish to specialize in this field.
Students will take compulsory subjects to gain basic knowledge of bioinformatics and biostatistics and learn how to use specialized software in the field at advanced level.
The master's degree is flexible and offers optional subjects, so that students can specialize in the aspects that are of most interest to them. The optional subjects include topics such as software for bioinformatics, trends in the bioinformatics sector, molecular and structural biology, design and analysis of experiments, survival analysis, multivariate analysis, and automatic learning (machine learning), as well as the opportunity to carry out company placements.
Basic information
| Type | Master's degree |
|---|---|
| Faculty or school | Faculty of Biology |
| Branch of knowledge |
|
| Mode of delivery |
|
| Credits | 60 |
| Length of course | 1 academic year |
| Coordination | ALEXANDRE SANCHEZ PLA |
| 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 Oberta de Catalunya (UOC) |
| Universities |
|
| Bridging courses | Yes |
Objectives and competences
Objectives
Competences
Access and admission
Applicant profile and access requirements
Recommended applicant profile
Access requirements and conditions
General requirementsStudents wishing to be admitted to a university master's degree must hold one of the following qualifications:
- Official Spanish university degree.
- A degree issued by a higher education institution within the European Higher Education Area framework that authorizes the holder to access university master's degree courses in the country of issue.
- A qualification issued by an institution outside the framework of the European Higher Education Area. In this case, applicants must request homologation of the degree to its equivalent official Spanish university qualification or obtain express approval from the University of Barcelona, which will conduct a study of equivalence to ensure that the degree is of a comparable level to an official Spanish university qualification and that it grants access to university master's degree study in the country of issue. Admission shall not, in any case, imply that prior qualifications have been recognized as equivalent to a Spanish master's degree and does not confer recognition for any purposes other than that of admission to the master's degree course.
Pre-enrolment
Calendar
La preinscripció es realitza a la universitat coordinadora del màster.
Més informació
Required documentation
Selection criteria
Notification
Enrolment
As a general rule, at the UB you will be required to enrol online. Remember that you can lose your place if you do not enrol on the day you have been assigned
- Documents required for enrolment
- Procedure to formalize enrolment
- Grants and financial aid (in Catalan)
- Economic information (in Catalan)
Course curriculum
Subjects and course plans
Distribution of credits
| Type | ECTS |
|---|---|
| Compulsory | 25 |
| Optional | 20 |
| Compulsory placements | 0 |
| Compulsory final project | 15 |
| TOTAL | 60 |
List of subjects
| Subject | Type | Language | Credits |
|---|---|---|---|
| Specialization: Bioinformatics and Biostatistics | |||
| Analysis of Omic Data | Compulsory | 5 | |
| Applications and Trends in the Sector | Optional | 5 | |
| Company Placement | Optional | 5 | |
| Computational Genomics | Compulsory | 5 | |
| Computer Tools for Bioinformatics | Optional | 5 | |
| Data Analysis Software | Compulsory | 5 | |
| Design and Analysis of Experiments | Optional | 5 | |
| Final Project | Compulsory | 15 | |
| Machine Learning | Optional | 5 | |
| Molecular Biology | Optional | 5 | |
| Multivariate Analysis | Optional | 5 | |
| Programming for Bioinformatics | Compulsory | 5 | |
| Regression, Models and Methods | Compulsory | 5 | |
| Statistical Inference | Compulsory | 5 | |
| Structural Biology | Optional | 5 | |
| Survival Analysis and Longitudinal Data | Optional | 5 | |
Bridging courses
| Subject | Type | Language | Credits |
|---|---|---|---|
| Specialization: BC for admission to the master's degree in Bioinformatics and Biostatistics | |||
| Algebra | Optional | 6 | |
| Introduction to Mathematics for Engineering | Optional | 6 | |
| Introduction to Programming | Optional | 6 | |
| Linear Algebra | Optional | 6 | |
| Mathematical Analysis | Optional | 6 | |
| Probability and Statistics | Optional | 6 | |
| Programming | Optional | 6 | |
| Statistics | Optional | 6 | |
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