Master of Data Science & Computational Biology
Program Overview
This interdisciplinary master program bridges the gap between data science and biological sciences, training students to apply advanced computational methods to solve complex biological and biomedical problems. The program covers bioinformatics, genomics, structural biology, systems biology, and drug discovery, with a strong emphasis on machine learning applications in biological research.
Students benefit from Madrid's growing biotech ecosystem and the academy's partnerships with major research institutions including the National Center for Biotechnology (CNB), the Spanish National Research Council (CSIC), and several pharmaceutical companies. The program includes a mandatory research internship and a master thesis, ensuring graduates are well-prepared for doctoral studies or careers in the biotech industry.
Goals, Outcomes & Methods
Train interdisciplinary scientists who can apply advanced data science and computational methods to address fundamental questions in biology, medicine, and pharmaceutical sciences.
Graduates will analyze complex biological datasets, develop computational models for biological systems, apply machine learning to biomedical research, use bioinformatics tools effectively, and communicate scientific findings to diverse audiences.
Lectures, computational laboratory sessions, research rotations, journal club presentations, industry seminars, collaborative research projects, and supervised thesis research.
Program Structure & Plan
Year 1 - Semester 1: Python for Scientific Computing, Molecular Biology, Statistics & Probability, Bioinformatics, Database Systems for Biology
Year 1 - Semester 2: Machine Learning for Biology, Genomics & Next-Gen Sequencing, Structural Bioinformatics, Systems Biology, Research Methods
Year 2 - Semester 3: Advanced Topics (Drug Discovery, Immunoinformatics, Computational Neuroscience), Research Internship Begins, Elective Courses
Year 2 - Semester 4: Research Internship, Master Thesis, Thesis Defense
Tuition & Fees
| Fee Type | Year 1 | Year 2 | Total |
|---|---|---|---|
| Academic Fees | |||
|
Tuition Fee
Annual tuition for Master of Data Science & Computational Biology
|
12,000 | 12,000 | 24,000 |
| Living & Accommodation | |||
|
Estimated Living Costs
Accommodation, food, transport, and personal expenses
|
9,515 | 9,515 | 19,030 |
| Scholarships & Discounts | |||
|
Early Payment Discount
5% discount for full annual payment before registration deadline
|
600 | 600 | 1,200 |
| Grand Total | 22,115 | 22,115 | 44,230 |
Research Excellence Scholarship
— Full tuition waiver + EUR 6,000 stipend
Exceptional academic record and demonstrated research potential in computational biology
European Mobility Grant
— EUR 3,000
EU/non-EU students demonstrating cross-cultural academic mobility
Who Should Apply
Graduates with a bachelor's degree in biology, biochemistry, computer science, mathematics, physics, or a related field who want to develop interdisciplinary skills at the intersection of data science and biology. Prior programming experience is beneficial but not required.
Admission Requirements
Bachelor's degree in a relevant field. Programming experience in any language is recommended (Python preferred). A brief statement of research interests is required.
Required Documents
Career Prospects
Academy Accreditation & Recognition
Program Accreditation & Recognition
General Information
The program requires full-time enrollment. Students have access to high-performance computing clusters, bioinformatics software licenses, and laboratory facilities. The research internship can be completed at partner institutions in Spain or abroad.
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