How and When to Enroll
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The information required to enroll in the course is provided in the notice that outlines the admission procedures.
News and updates
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Procedure for the verification of requirements for Sapienza students or students coming from other Italian universities (graduates or undergraduates)
All candidates ,coming from Sapienza or other Italian universities (graduates or undergraduates) after having made the payment for the verification of requirements, must upload all the required data via the following
google form
↗
(and forward by e-mail confirmation of completion to the Data Science secretariat:
datascience@i3s.uniroma1.it
) by the same dates set for the application for the verification of requirements.
The documents required are:
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self-declaration of the degree obtained with indication of the degree class and final mark (or average mark achieved if the candidate is an undergraduate)
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list of all exams taken at the scientific and disciplinary sectors corresponding to the required subjects;
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a self-declaration attesting to the knowledge of the English language at a level of B2 or higher;
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copy of the payment of the contribution of € 10.00.
IMPORTANT: if you do not have exams in the SSD indicated in the google form (e.g. MAT/03-MAT/05 or MAT/06) please enter manually the SSD in which you have done the correspondent topics.
REQUIREMENTS AND VERIFICATION OF APPROPRIATE PERSONAL PREPARATION
In order to be admitted to the masters degree programme you need to meet the curricular requirements
(RC)
and have an appropriate personal preparation
(APP)
including the necessary language skills.
The appropriate personal preparation
(APP)
takes into consideration two aspects:
(APP-a) Results and relevance of previous studies
(APP-b) Knowledge of Mathematics, Probability and Computer Science.
For the verification of prerequisites and relevance (APP-a) the following will be assessed:
- the final grade obtained in the bachelor's degree and the corresponding grade average (or only the grade point average if the candidate has not yet graduated) with particular attention to the marks obtained in the areas of Mathematics, Probability and Computer Science.
- the relevance of the Bachelor's degree curriculum.
The appropriate personal preparation regarding Mathematics, Probability and Computer Science (APP-b) will take into consideration the knowledge acquired in the following areas:
(APP-b1).
Mathematics: Differential and integral calculus for functions of one or more real variables; elements of linear algebra and analytic geometry in the plane.
(APP-b2).
Probability: random variables, distributions of expected values; main classes of parametric distributions of random variables; convergence of sequences of random variables.
(APP-b3).
Computer Science: Programming principles; at least one programming language amongst C, C++, C#, Java, Python.
The Committee will automatically consider that the (APP-b) requirement is satisfied for students who have acquired at least:
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12 Credits
in the Academic Discipline MAT/03 (Geometry), MAT/05 (Mathematical Analysis) or in equivalent SSD where these topics are done (e.g. MAT/09).
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6 Credits
in the Academic Discipline MAT/06 (Probability) or in equivalent SSD where these topics are done (e.g. SECS-S/01).
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6 Credits
in the Academic Disciplines INF/01 (Computer Science) or ING-INF/05 (Data Processing Systems).
Otherwise, students will have to take an online test and, if they pass the test, they will have to attend a final interview in English in order to assess their knowledge (APP-b1, APP-b2, APP-b3) in order to complete the verification of the adequate personal preparation (APP-b).
The verification of the adequate personal preparation, which can only be accessed by students meeting the curricular requirements, can be found in the Course Regulations, available on the course website.
Knowledge Check Material:
To be prepared for part MAT/06 (Probability) the following texts are suggested:
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For a quick reviews: first 5 chapters of All of Statistics, Larry Wasserman (2004)
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-For a complete rebuilding: A first course in Probability, Sheldon Ross (2019)
To be prepared for the ING-INF/05 (Information processing systems) we ask you to be ready to do an Homework such as:
Need any help?
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