Quantitative and Computational Biosciences
Italy, Padua
| Study location | Italy, Padua |
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| Type | Master's degree, full-time |
| Nominal duration | 2 years (120 ECTS) |
| Study language | English |
| Awards | (Master of Science in Quantitative and Computational Biosciences) |
| Course code | SC2804/000ZZ/2024 |
| Tuition fee | €2,739 per year For further information please visit: www.unipd.it/en/tuition-fees |
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| Application fee | €30 one-time This fee is non-refundable. |
| Deposit | €204 one-time In order to accept your place at the University of Padua, the payment of the admission fee is required. This fee is non-refundable. |
| Entry qualification | Bachelor diploma (or equivalent)
The entry qualification documents are accepted in the following languages: English / Italian. You can often get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original. You must take the original entry qualification documents with you when you finally go to the university. If you are admitted to the degree course, you will have to submit other documents including original and translated/legalised copies of your previous qualifications, etc. No legalised documents are required at application stage. |
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| Language requirements | English A certificate B2 level (CEFR) or equivalent Please check out this link for the full list of accepted certificates, minimum scores and exemptions |
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| More information |
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Overview
With the steady advancement of computational and analytical tools, all branches of Biological sciences are being swamped with a deluge of data that is calling out for analyst professionals. The QuaCBio Master’s degree combines courses from the biological and hard science realms, with a strong emphasis on hands-on bioinformatics trainings. Through this approach, students with a comprehensive STEM background are expected to get together and cross-contaminate when dealing with Big Data in omics, evolution, ecology and physiology and become the next generation of Computational Biologists.
Programme structure
1st year:
Common courses: Big data: an ethical and economical perspective; Informatics and Python; Next Generation Sequencing; Quantitative Imaging; Machine Learning and Neural Networks; Sensors, measurement errors and data management; Advanced Statistics and Data Analysis; Systems Biology; Computational Human Evolution
Recommended courses for students with a biology background: General Mathematics; Statistics and R
Recommended courses for students without a biology background: Introduction to Molecular and Cellular Biology + Introduction to Ecology
2nd year: Complex systems and agent-based simulations; Nature in context; Metagenomics
Elective courses, research internship and thesis.
Career opportunities
Graduates work as Bioinformaticians, Data Scientists within the Biology realm, Big Data and Complex system analysts, Developer of novel analytical methods in Biology in either private or public companies, in Italy and abroad.