Master in Computational Biology and Bioinformatics

Education objectives

Biology is witnessing a digital transformation driven by the rapid development of computer algorithms and artificial intelligence methods, which have revolutionized the analysis of biological systems and associated pharmaceutical and medical tecnologies.
The MSc in Computational Biology and Bioinformatics (MCBBI) of Universidade NOVA de Lisboa provides a multidisciplinary training in the interface between Life Sciences and Information Technology. This advanced course is implemented by five complementary NOVA Schools: NOVA School of Science and Technology (FCT NOVA), Instituto de Tecnologia Química e Biológica António Xavier (ITQB NOVA), NOVA Information Management School (NOVA IMS), NOVA Medical School (NOVA MS) and Instituto de Higiene e Medicina Tropical (IHMT NOVA).
The course provides solid hands-on training to students holding a degree in Life Sciences in the core disciplines of computational biology and bioinformatics, while maintaining a flexible structure composed of a common core and two branches. The common core develops the student''s proficiency in informatics, mathematics and artificial intelligence and exposes them to the different fields of computational biology. The flexible structure enables the students to specialize in one of the two branches: Multi-Omics for Life and Health Sciences and Biosystems Simulation for Life and Health Sciences.

More information can be found at http://masters.unl.pt/computationalbiology/.

General characterization

DGES code

1043

Cicle

Master (2nd Cycle)

Degree

Mestre

Access to other programs

Access to a 3rd cycle

Coordinator

Available soon

Opening date

Available soon

Vacancies

Available soon

Fees

Portuguese students: 1500 €/year

Foreign students: 7000 €/year

Schedule

Available soon

Teaching language

Available soon

Degree pre-requisites

Duration: 2 years

Credits: 120 ECTS

Multi-Omics for Life and Health Sciences

Scientific Area Acronym ECTS
Mandatory Optional
Biology B 6 0
Computational Biology BC 78 0
Informatics 15 0
Mathematics M 6 0

Complementary Skills / Computational Biology /
Informatics / Mathematics / Biology / Biochemistry

 CC / Biol Comp / I / M / B / Bq 0 15
TOTAL 105 15

Biosystems Simulation for Life and Health Sciences

Scientific Area Acronym ECTS
Mandatory Optional
Computational Biology BC 78 0
Informatics 21 0
Mathematics M 6 0

Complementary Skills / Computational Biology /
Informatics / Mathematics / Biology / Biochemistry

 CC / Biol Comp / I / M / B / Bq 0 15
TOTAL 105 15

Conditions of admittance

Available soon

Evaluation rules

Available soon