Vai al contenuto

  • Uniweb
  • Unipd
  • Dipartimenti
  • Biblioteche
  • Scuola di Scienze
  • FAQ
  • Rubrica
  • Webmail
  • Moodle
    • Moodle didattica
    • Moodle esami
    • Moodle esami VECCHIA VERSIONE
  • Gestionali DiBio
    • Gestione Dipartimento
    • Slotify
    • Raccolta esercitazioni
    • Magazzino
    • Proposte di tesi
  • Ticket
    • New Ticket
    • Istruzioni Utente Rexpondo

Corsi di Studio in Quantitative and Computational Biosciences - Università degli Studi di Padova

Corsi di Studio in Quantitative and Computational Biosciences

  • SCEGLI IL
    TUO PROFILO
  • CERCA
  • Menu
  • ENG
CHIUDI
  • How to enrol

  • Current students

    • More details on how to graduate
  • QuaCBio
  • IndietroCurrent students
  • More details on how to graduate

Skip to content

Current students

International students

Kindly read the Survival Guide for International Students 

Study Plan

The Study Plan (Piano di studio) is the list of all the activities (exams, internships, labs etc.) you must carry out in order to earn the credits (CFU/ECTS) required to graduate.

The Study Plan can be modified throughout the year (in specific timeframes), until you register for graduation.

Filling in your Study Plan is compulsory. You must fill it out in accordance with the Manifesto degli Studi of your degree programme, i.e. a list of all the course units on offer for your degree programme, and the rules related to your enrolment year.

Download the Study Plan Guidelines for more information on study plans.

For students enrolled in their second year, kindly find a list of courses you may want to pick as "free choice courses", that are coherent with the Quantitative and Computational Biosciences programme and that will be considered as AUTOMATICALLY APPROVED:   

MODELS IN GENETIC DISEASE RESEARCH SCP8085071 LM in  Molecular Biology
CODING IN CHEMISTRY SCQ5110542 LM in Chemistry 
MODERN COMPUTING FOR PHYSICS SCQ3104440 LM in Physics of DAta
MOLECULAR ANTHROPOLOGY SCQ2101381  LM in  Molecular Biology
LAW AND DATA  SCP7079399 LM in Data Science
HUMAN NUTRITION: SUSTAINABILITY AND MULTIDISCIPLINARY PERSPECTIVE  AVQ1094707 LM in  Food, Nutrition and Health
COMPUTATIONAL THINKING  SUQ0090379 LM in  Communication strategies
DRUG DISCOVERY AND DEVELOPMENT  MEP5070482 LM in Pharmaceutical Biotechnologies

ARTIFICIAL INTELLIGENCE - COMPUTER SCIENCE  -   6  -   SCQ0093639
BIOINFORMATICS  -   COMPUTER SCIENCE  -  6  -   SCP7079405
DEEP LEARNING  -   COMPUTER SCIENCE  -   6  -   SCP9087561
MACHINE LEARNING FOR HUMAN DATA  -   DATA SCIENCE  -   6  -   SCQ4106915

Otherwise, you can select your free-choice courses from the entire University offer, provided they are coherent with your study path. Check here a non-exhaustive lists of courses, with particular emphasis on those taught during the first semester.

Please note that free-choice courses:

• must belong to a Master's Degree programme

• may require mandatory attendance — students must check the specific attendance requirements for each course and make sure they do not overlap.

 

    How to graduate

    Applying for graduation

    The undergraduate student must complete the on-line Graduation Application (via the Uniweb system), which involves the student entering the title of the thesis and its subsequent approval by the lecturer by computer only.

    The complete online graduation application procedure can be found by following the path: www.unipd.it - “Studentesse e Studenti” (Students) - “Gestione carriera studenti” (Student career management) - “Laurearsi” (Graduation) - “Domanda di laurea” (Graduation Application).

    Students are also required to check the deadlines for submitting their final dissertation to the Biology Department’s Academic Office for the period in which they intend to graduate, as indicated in the graduation notices for each period (see below: "Graduation sessions").

    More details

    Graduation sessions:

    Academic year 2025/2026

    Academic year 2026/2027

     

    THIRD SESSION B - A.Y. 2025/2026

    December 2026 - Master's Degree in Quantitative and Computational Biosciences

    • General information
    • Title page example
    • Graduation Committees

    Last update: 2nd September 2026

     

    FAQ – Exam sessions, attendance and credits

     

    Corsi di Studio in Quantitative and Computational Biosciences

    • QuaCBio

    CONTATTI

    Via U.Bassi 58/ B - 35131 Padova
    Tel. +39 049 827 6290
    • Presidente
      Prof.ssa Nicoletta Plotegher
      nicoletta.plotegher@unipd.it
    Università inclusiva HR Excellence in research
    © 2018 Università di Padova - Tutti i diritti riservati P.I. 00742430283 C.F. 80006480281
    • Privacy policy