M.Sc. On Campus

Quantitative and Computational Biology

University of Trento

24 months
6500 EUR/year
3400 EUR/year
Tuition fee
Apply date
Start date


The Quantitative and Computational Biology program from University of Trento is a multidisciplinary degree that formally integrates quantitative sciences and applied biology.


The Master of Science (Laurea Magistrale) in Quantitative and Computational Biology is a multidisciplinary degree that formally integrates quantitative sciences and applied biology, thanks to the involvement of the following organizations at the University of Trento:

  • CIBIO, Centre for integrative biology
  • Department of Physics
  • Department of Mathematics
  • Department of Information Engineering and Computer Science
The course focuses on a strategic area where technology and methodology enable students to face essential questions at the interface between fundamental research and clinical and pre-clinical areas, through analytical and quantitative approaches. The course - entirely taught in English - is designed to capture the increasing need for researchers and experts able to transform the enormous amount of biological information ("big data") into knowledge and to gain quantitative insight into the behavior of biological systems by means of bio-mathematical and biophysical models.

Key target areas include pharmacogenomics, biotechnology, food science, and precision medicine, which represent applied research fields where the growing availability of multidimensional data demands a high level of interdisciplinarity.

Program Overview

The course is designed to train experts in biotechnology, computational biology, bioinformatics, and biological data and systems biology analysis, who will have the opportunity to learn in a multidisciplinary context, interacting with students with different experiences. Strong emphasis will be given to quantitative and computational aspects, with a focus on tools to analyze, model, and understand biological systems and phenomena. Teaching activities include lectures, laboratory courses, and seminars. The master of science thesis will be carried out during the second semester of the last year. Students will have the chance to carry out research projects within the University of Trento organizations involved in the Master Degree, by other Italian or European Universities, or in industries operating in the biotechnology, bioinformatics, and computational areas.

Admitted students will follow one of the four tracks based on their educational background acquired in previous studies. The four different tracks offer the opportunity for students to integrate their background based on their first-level degree and individual preparation. In the first, second, and third semesters students will follow different courses with a focus on biotechnological or computational, or physical topics. The fourth semester is entirely dedicated to the preparation of the thesis, with a rotation system among research groups.


The course will consist of four tracks as follows: 

Biotechnology track

  • Biostatistics 
  • Scientific Programming
  • Computational Genomics
  • Biotechnology Engineering

Biocomputational Track

  • Quantum mechanics
  • Data Mining
  • Computational Genomics
  • Experimental and Computational Biochemistry
  • Biotechnology Engineering 

Computational track

  • Molecular Biology of the Cell
  • Chemistry and Biochemistry
  • Biological Networks and Data Analysis
  • Mathematical Modeling

Physics track

  • Molecular Biology of the Cell
  • Organic and Biological Chemistry
  • Algorithms and Data Structures
  • Genetic and Metabolic Engineering 
  • Machine Learning
  • Computational Biophysics


  • Programming
  • Bioinformatics
  • Biological Networks and Data Analysis
  • Theoretical Methods for Soft Matter
  • Laboratory of Biological Data Mining
  • Mathematical Modeling
  • Biotechnology Management and Regulations
  • Quantum Chemistry

For all tracks


  • Research Seminars/Journal Club
  • English 
  • Final thesis
  • Complete Program: 120 CFU or ECTS

Program Outcome

The course aims at building a scientific and professional profile enabling the understanding of complex biological phenomena and mathematical and computer models, as well as analytical approaches to physical phenomena.

Graduates will be trained as experts in the field of Quantitative and Computational Biology with particular relevance to the biomedical field.

Skills will be acquired in the following areas:

Biotechnology area

With the objective of:

  • Providing advanced skills on cellular metabolism and how it can be manipulated through genetics and metabolic engineering approaches applicable both to microbial systems and to mammalian cells.
  • Providing expertise for data -omics generation, analysis, representation and interpretation (essentially genomics and transcriptomics),
  • Providing skills for the use of complex experimental equipment and related software will be provided.

Information science area 

With the objective of:

  • Introducing students to computational problem solving, 
  • Providing the practical basis of scientific programming, 
  • Providing the basic knowledge of biological networks and the skills to manipulate them with data integration, 
  • Providing expertise and knowledge to model and simulate the dynamics of biological systems,
  • Providing knowledge on specific algorithms for bioinformatics applications, knowledge for the development  and implementation of bioinformatics resources,
  • Providing knowledge and skills on machine learning and practical and theoretical knowledge of specific data mining applications for biological systems.

Mathematical-physical area 

With the objective of:

  • Introducing fundamental notions on statistical inference based on likelihood, 
  • Providing knowledge for the construction and the use of statistical models for the analysis of univariate and multivariate data, with particular reference to biomolecular data, of dynamic deterministic or stochastic models for the description of biological and biochemical phenomena,
  • Providing skills to build numerical computer simulations and to recognize the potential and the limitations in the use of models, 
  • Providing expertise on quantum mechanics fundamental equations and on the main elements of atomic and molecular physics phenomenology, 
  • Introducing students to the approximation methods for the theoretical description of many-body systems physics, providing skills to critically evaluate molecular models limits,
  • Providing concepts on statistical mechanics fundamentals and applications of biomolecular systems, as well as numerical techniques for the study of their thermodynamic and kinetic properties.

Career Opportunities

Graduates in Quantitative and Computational Biology will be trained to build the following professional profiles:

  • Biotechnologist
  • Computational Biologist
  • Bioinformatics
  • Biologists data and systems biology analyst

The profiles are characterized by a set of shared competencies, to which are added specific expertise in the field of biotechnology, information technology, and/or mathematics and physics.

Graduates, trained for the above-mentioned professions, will be able to use biological data publicly available and to work closely with biologists, clinicians, pharmacologists, engineers, epidemiologists in experimental research and pre-clinical context, in analysis/hospital laboratories, by using a common language.

The professional perspective of the graduates is in the context of public and private research centers,  pharmaceutical, food, and biotechnology companies, as well as in advanced medical investigation laboratories.

Programme Structure

Courses include:

  • Biostatistics
  • Scientific Programming
  • Computational Genomics
  • Biotechnology Engineering
  • Quantum mechanics
  • Data Mining
  • Computational Genomics

Key information


  • Full-time
    • 24 months

Start dates & application deadlines

More details

Application Period:12/15/2021-04/03/2022: Non-EU citizens permanently living abroad12/04/2022-30/06/2022: EU students and Non-EU students living in Italy




120 ECTS


On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • Bachelor’s degree (or equivalent) in Biology, Computer Science, Mathematics, Physics or related fields
  • English at B1 level of the Common European Framework of Reference for Languages
  • Please see the Call for Applications 

How to apply

  • Access the online application form via the UniTrento web site
  • Upload the required documents
  • Submit your online application by the deadline

Tuition Fee

To alway see correct tuition fees
  • International

    6500 EUR/year
    Tuition Fee
    Based on the tuition of 6500 EUR per year during 24 months.
  • EU/EEA

    3400 EUR/year
    Tuition Fee
    Based on the tuition of 3400 EUR per year during 24 months.
  • EU: 340€-3400€ (fee range based on personal income and merit)
  • Non-EU: 1000€-6500€ (fee range based on merit only, i.e. score in the application evaluation) 

Living costs for Trento

700 - 1000 EUR /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.


Scholarships for non-EU Citizens living abroad

Top-scored candidates will be entitled to receive a UniTrento scholarship. Students that benefit from a UniTrento scholarship will also have the tuition fees waived.

Scholarships for EU Citizens and Non-EU citizens regularly living in Italy

Scholarships are based on income/merit. Information on the tuition fees and ISEE index (economic index of your family financial situation) are available on the Infostudenti UniTrento web page. Please note that if you do not want to calculate the ISEE index, you will have to pay the maximum tuition amount. Once the ISEE has been calculated, eligible students can apply for the Opera Universitaria scholarship starting from June/July.

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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Quantitative and Computational Biology
University of Trento


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