Program

It provides the fundamentals and basic techniques of chemistry relevant to understanding biochemical processes.

Module I:

• subject I. General Chemistry (.pdf)

→ Chemistry general (6 ECTS credit)
→ Chemistry organic (6 ECTS credit)
→ Chemistry physical (6 ECTS credit)

It covers the fundamental concepts of the biology of the cell and of tissues, organs and systems, as well as the instructions of genetics.

Module II: 

• subject I. Biology (.pdf)

→ Cell biology and histology (6 ECTS credit)
→ Fundamentals of biology (3 ECTS credit)
→ Microbiology (6 ECTS credit)
→ Genetics (6 ECTS credit)
→ Extension of cell biology (6 ECTS credit)

• subject II. Human Anatomy (.pdf)

→ Organography (6 ECTS credit)

It provides the physical and mathematical instructions to understand biological processes and apply molecular bioscience techniques.

Module III:

• subject I. Physics (.pdf)

→ Physics (6 ECTS credit)

• subject II. Mathematics (.pdf)

→ Mathematics (6 ECTS credit)
→ Biostatistics (6 ECTS credit)

• subject III. Informatics (.pdf)

→ Basic computing and bibliographic techniques (3 ECTS credit)

It provides the knowledge of the biochemical and molecular instructions of biological systems.

Module IV:

• subject I. Quantitative Instrumental Methods (.pdf)

→ Instrumental methods in Biochemistry and molecular biology (6 ECTS credit)
→ Instrumental methods in Biochemistry and molecular biology II ((6 ECTS credit)

• subject II. Molecular Systems Biology (.pdf)

→ Computational biology (6 ECTS credit)

It develops the different quantitative instrumental methodologies used in Biochemistry and Molecular Biology, as well as those related to Molecular Biology Systems.

Module V:

• subject I. Biochemistry (.pdf)

→ Structure and function of biomolecules (6 ECTS credit)
→ Cell signalling (6 ECTS credit)
→ Metabolism and its regulation (6 ECTS credit)
→ Structure of macromolecules (6 ECTS credit)

• subject II. Molecular Biology (.pdf)

→ Engineering Genetics (6 ECTS credit)
→ Biosynthesis of macromolecules and their regulation (6 ECTS credit)
→ Molecular pathology (6 ECTS credit)

It covers the regulation and integration of the body's functions for application in biomedicine.

Module VI:

• subject I. Physiology (.pdf)

→ Molecular physiology (6 ECTS credit)
→ General physiology (6 ECTS credit)
→ Immunology (6 ECTS credit)

• subject II. Biomedical Applications (.pdf)

→ Biochemistry clinical (6 ECTS credit)
→ Genetics human molecular (6 ECTS credit)
→ Clinical bacteriology (3 ECTS credit)
→ Virology (3 ECTS credit)
→ Pathophysiology (6 ECTS credit)
→ Pharmacology and Toxicology (6 ECTS credit)

It includes subjects with a humanistic content and aims at the integral education of student, giving them the ability to make judgements that include a reflection on relevant social, scientific or ethical issues.

Module VII:

• subject I. Aspects of Human Formation (.pdf)

→ Anthropology (6 ECTS credit)
→ Ethics (6 ECTS credit)
→ Keys to Contemporary Culture (6 ECTS credit)

• subject II. Vocational Training Aspects (.pdf)

→ management in professional competences (3 ECTS credit)
→ Deontology (3 ECTS credit)

It is compulsory and individual, and offers the opportunity to apply and integrate the knowledge acquired during the studies to carry out technical work related to the different fields of biomedicine. It has a clear professionalising sense, of an eminently practical nature.

Module VIII:

• subject I. Final Project Degree (.pdf)

It constitutes 10% of the total of ECTS credit of Degree and allows the student to acquire an intensification of professional competences in other aspects related to Biomedicine. Includes also external placements in hospitals, research centres or companies (up to 9 ECTS credit) and credits for academic recognition for participation in various activities (up to 6 ECTS credit).

Module IX:

• subject I. Electives (.pdf)

First course - Introduction to the Science of data

- semester 1º Data Science Toolbox

- semester 2º Python basics

Second Course - Productivity tools

- semester 1º - Data wrangling (Productivity Tools in R)

- semester 2º - Python Modules (Productivity Tools in Python)

Third course - data analysis

- semester 1º - Data Analysis with R

- semester 2º - Data Analysis with Python 

Fourth course - Productivity

- semester 1º (to be chosen according to orientation)

- Functional Genomics
- Image Analysis

- semester 2º - Machine Learning

3rd year: internship at business (4 ECTS credit)
Students will obtain 4 ECTS credit by doing a mandatory internship at business in the summer of 3rd year. These internships can be carried out either in companies outside the university environment or in Departments of the University. In these internships, students will put the knowledge acquired during the first three years at the service of the business or Departments of research.

4th course: Data Camp in Boston (2 ECTS credit)
At the end of the 4th year, students will go on a professional trip of approximately one week to carry out a Data Camp with biotech companies mainly. This week will serve to familiarize students to work with data real companies, to analyze them, to draw conclusions, and to close the week sharing the decisions taken after data analysis.

The financial costs of the stay and trips scheduled on diploma are included in the amount of the credit.