Quantitative Biology 24 months Postgraduate Programme By University of Milan |TopUniversities
Subject Ranking

# 149QS Subject Rankings

Programme Duration

24 monthsProgramme duration

Tuitionfee

156 EURTuition Fee/year

Main Subject Area

Biological SciencesMain Subject Area

Programme overview

Main Subject

Biological Sciences

Degree

MSci

Study Level

Masters

Study Mode

On Campus

The Master's degree course in Quantitative biology (QB) prepares graduates in biological and biotechnological disciplines to operate at the intersection between biology and physics. The quantitative approach requires a physical understanding of biological phenomena and the development of mathematical and computational tools for the analysis, understanding, and redesign of biological systems. The aim is to train a new generation of experts with integrated skills in biology, chemistry, physics, mathematics and computer science, able to perform accurate experimental measurements and apply predictive theoretical models, to explain biological complexity. Quantitative biology uses emerging technological and computational capabilities to model biological processes for biotechnological applications such as protein and metabolic engineering, drug discovery and synthetic biology. It is therefore proposed a path that includes training activities aimed at acquiring in-depth knowledge of:


- Molecular, cellular, and structural biological area: provides in-depth knowledge of basic biological processes, both cellular and molecular, and identifies macromolecular complexes and regulatory networks that require quantitative analysis.

- Biophysics-chemistry area: provides thermodynamic and statistical knowledge of the behavior of individual molecules and covers the most innovative investigation and data analysis techniques in this area (such as, for example, atomic force microscopy, super resolution microscopy, single particle electron cryo microscopy).

- Mathematics-informatics-logic area: provides the tools for formulating predictive and descriptive mathematical models of the behavior of cellular and molecular systems and teaches programming languages for data analysis. It also introduces the concepts and methods of artificial intelligence used to represent and solve logical and computational problems.

PLEASE NOTE THAT THIS PROGRAMME IS ENTIRELY TAUGHT IN ENGLISH

Programme overview

Main Subject

Biological Sciences

Degree

MSci

Study Level

Masters

Study Mode

On Campus

The Master's degree course in Quantitative biology (QB) prepares graduates in biological and biotechnological disciplines to operate at the intersection between biology and physics. The quantitative approach requires a physical understanding of biological phenomena and the development of mathematical and computational tools for the analysis, understanding, and redesign of biological systems. The aim is to train a new generation of experts with integrated skills in biology, chemistry, physics, mathematics and computer science, able to perform accurate experimental measurements and apply predictive theoretical models, to explain biological complexity. Quantitative biology uses emerging technological and computational capabilities to model biological processes for biotechnological applications such as protein and metabolic engineering, drug discovery and synthetic biology. It is therefore proposed a path that includes training activities aimed at acquiring in-depth knowledge of:


- Molecular, cellular, and structural biological area: provides in-depth knowledge of basic biological processes, both cellular and molecular, and identifies macromolecular complexes and regulatory networks that require quantitative analysis.

- Biophysics-chemistry area: provides thermodynamic and statistical knowledge of the behavior of individual molecules and covers the most innovative investigation and data analysis techniques in this area (such as, for example, atomic force microscopy, super resolution microscopy, single particle electron cryo microscopy).

- Mathematics-informatics-logic area: provides the tools for formulating predictive and descriptive mathematical models of the behavior of cellular and molecular systems and teaches programming languages for data analysis. It also introduces the concepts and methods of artificial intelligence used to represent and solve logical and computational problems.

PLEASE NOTE THAT THIS PROGRAMME IS ENTIRELY TAUGHT IN ENGLISH

Admission Requirements

72+
5.5+
Basic knowledge in mathematics, chemistry, physics and biology is required. Students willing to enroll in the Master Course in Quantitative Biology must possess the following requirements: Bachelor or University Degree obtained with a three-year course, or equivalent title obtained abroad. Minimum English level, assessed by interview Adequate basic knowledge, assessed by interview
Bachelor's Degree Eligible for admission to the master's degree program in Quantitative Biology are graduates in the classes: L-02 Biotechnology L-05 Philosophy L-07 Civil and Environmental Engineering L-08 Information Engineering L-13 Biological Sciences L-27 Chemical sciences and technology L-29 Pharmaceutical sciences and technologies L-30 Physical sciences and technology L-31 Computer science and technology L-32 Science and technology for the environment and nature L-33 Economic sciences and statistics L-35 Mathematical Sciences L-41 Statistics who have attained sufficient knowledge (at least 12 CFU) in basic disciplines of biological area relevant for QB (SSD BIO/06, BIO/09, BIO/10, BIO/11, BIO/18, BIO/19).
Language Requirement Knowledge of English (B2 level) is a requirement for the access to the QB master's degree. Students should have acquired beforehand a B2 level certification (vantage or upper intermediate, as defined by the Common European Framework of Reference for Languages: Learning, Teaching, Assessment). Students without a B2 level certification may be accepted on condition that their level of English proficiency, assessed during the entry interview, is evidently good.
Adequate basic knowledge: The adequate personal background of the candidates and their ability to communicate in English are decisive elements for the acceptance to QB and they are going to be verified and tested during the entry interview. Knowledge of Italian is not required. Particular attention will be given to the knowledge in biological subjects of candidates with non-biological backgrounds. In this case, the entry interview will identify gaps requiring extra study to be levelled off by the student with the support of tutors before enrollment.

2 Years
Oct

Tuition fees

International
156 EUR

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