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UNIVERSITY OF TORINO

Master's Degree in

Stochastics and Data Science

Class: LM40

(Mathematics)

Student Information Booklet

(Manifesto degli Studi)

Academic Year: 2018/2019

 

Index

1 Introduction

2 Careers and Placement

3 Admissions and selection procedure

4 Study plan

5 Thesis

6 Calendar

7 Students mobility

8 Internships

9 Previous exams validation

10 Job Placement

11 Contacts

12 Committees

 

What are "Stochastics*" and "Data Science"?

The Master's Degree in Stochastics and Data Science aims at preparing students with a solid and modern education in probabilistic and statistical methods. Core topics will be advanced methodologies and techniques that are nowadays required tools for performing mathematical modelling and analysis under uncertainty (Stochastics) and for analysing and being able to interpret high-dimensional and complex data structures (Data Science). The emphasis of the course topics will be both theoretical and oriented towards computation and applications, providing not a "book of recipes" but the capability of discerning, combining and applying the most useful and modern methods available in Probability and Statistics.

The Master's Degree in Stochastics and Data Science draws inspiration from the best graduate programs in Data Science recently started in the USA and Europe, and is currently the only offer of this type in Italy.
 

 Why should I be willing to obtain a degree in Stochastics and Data Science?

 We live in an era with huge availability of information. Think for example about the amount of data the social networks generate, where every click is registered and archived for future use. Being able to model and interpret this information is crucial, whatever the scope.

It then comes to no surprise, that one of the leading job figures of the 21th century is going to be that of data scientist. In the past few years, jobs analysts have been constantly ranking Mathematicians, Statisticians and Data Scientists among the best and most requested jobs, with even better future scenarios. Here is a sample of international media reports

  • Harvard Business Review: Data Scientist: The Sexiest Job of the 21st Century.
  • CareerCast ranks Data Scientist and Statistician as the top 2 jobs in 2016 (see also the Wall Street Journal and CNN).
  • Glassdoor rated Data Scientist as the no. 1 job in 2016.
  • Forbes: number of Data Scientists doubled over the last four years.
  • McKinsey: Big data, the next frontier for innovation, competition, and productivity.
  • LinkedIn ranks Statistical Analysis and Data Mining as the hottest skill in 2014.
  • New York Times: Bayesian statistics are rippling through everything from physics to cencer research, ecology to psychology.

and Italian media reports:

  • Il Sole 24 Ore: Data Science and Statistics are experiencing a rapid expansion in terms of job positions.
  • La Repubblica: no jobs shortage for Mathematicians.
  • La Stampa: skills and competences for Big Data still lacking in Italy.

A recent article of La Stampa on our graduates can be found here.

 

"For today's graduate, just one word: Statistics"
E. Brynjolfsson, MIT Center for Digital Business Director, New York Times, 2009

 

What can I do after completing this Master's Degree?

Gaining solid skills related to the above outlined topics will enable to deal with and model data collected in a variety of disciplinary fields by exploiting a deep mathematical understanding of the underneath structures. Graduates in Stochastics and Data Science will have a solid knowledge in key topics from Applied Mathematics, Probability and Statistics combined with computational skills essential for modern interdisciplinary applications. Such preparation allows to use this theoretical knowledge for concrete tasks, for example for: 

  • autonomously formulating complex probabilistic models for describing static and dynamic phenomena of interest;
  • developing the necessary mathematical and statistical tools for their analysis;
  • using these models together with sets of available data to perform estimation, forecasting and uncertainty quantification of phenomena under study;
  • designing and implementing computational strategies in the form of algorithms for concretely carrying out the statistical procedures.

Such skills are nowadays highly demanded in a variety of professional environments, both in the private and in the public sector.

Alternatively, those more interested in proceeding with PhD studies, will have gained a solid background which allows to enter programs in Statistics, Mathematics, Applied Mathematics, Operations Research, Computer Science, Economics and Mathematical Finance, among other topics.

 

 What degree does this Program award?

The Master's degree in Stochastics and Data Science is a second-cycle degree legally recognised as a Laurea Magistrale in the class LM-40 Mathematics within the Italian university system.

 

Whom is the Master's Degree aimed at?

The Master's Degree in Stochastics and Data Science is aimed at highly motivated students who have obtained or are close to obtaining a Bachelor Degree (Laurea Triennale for students in Italian Universities) or an equivalent title. A Bachelor education in Mathematics, Statistics, Physics or Computer Science is ideal, but talented and motivated students with a different degree and willing to enrol in a challenging and exciting course are also welcome to apply for admission.

Students who need to consolidate their mathematical background will be given suggestions for self-organised study at the admission and during the first semester.  To the same end, these are also encouraged to choose their free credits for the Bachelor Degree (Laurea Triennale) on courses in quantitative methods, most notably analysis, probability, statistics,  operations research and econometrics.

"I keep saying the sexy job in the next ten years will be statisticians."
H. Varian, Google Chief Economist, The McKinsey Quarterly, 2009

 

 

Graduates in Stochastics and Data Science can work in private and public companies, research institutions or as self employed. Among the possible career opportunities there are analytic departments of banks and insurance companies, industries of all sectors, public administrations and research centers in all fields that require skilled treatment of data with complex structures.

Graduates in Stochastics and Data Science can also access PhD programs in statistics, probability, applied mathematics, operations research and mathematical finance, among others.

First placement of our graduates (since July 2017, to be updated regularly):

  • Cristina Bozzo, Consoft Sistemi, Italy
  • Martina Bravo, EiSWORLD (business intelligence and analytics), Italy
  • Stefano Bruno, PhD in Statistical Applied Mathematics, University of Bath, UK
  • Umberto De Ambroggio, PhD in Statistical Applied Mathematics, University of Bath, UK
  • Federico Ferrari, PhD in Statistical Science, Duke University, USA
  • Riccardo Fogliato, PhD in Statistics, Carnegie Mellon University, USA
  • Marta Fretti, Big Data Department, Vodafone, Italy
  • Paola Jafrancesco, Iconsulting (data warehouse, business intelligence and big data analytics), Italy
  • Giulia Lerda, ISI Foundation, Italy
  • Gabriele Mosaico, Insights and Data Business Unit, Capgemini, Italy
  • Francesca Panero, Oxford-Warwick Doctoral Statistical Programme, University of Oxford, UK
  • Elena Pesce, PhD in Mathematical Methods for Data Analysis, University of Genova (Italy) & SwissRE International SE (Switzerland)
  • Marta Pellizzola, PhD in Population Genetics, Vienna Graduate School of Population Genetics, Austria
  • Lorenzo Rimella, PhD in Statistics, University of Bristol, UK
  • Christian Rollo, European Central Bank
  • Matteo Silvestro, Consoft Sistemi, Italy
  • Alessandra Stella, PhD in Statistical Neuroscience, University of Aachen, Germany

Furthermore, our students have completed internship programs in the following companies and institutions: Accenture, Aizoon, Capgemini, Consoft Sistemi, European Central Bank, Evo Pricing, INRIA, Intesa SanPaolo Bank, ISI Foundation, Skylab Italia.

 

 

Note: admissions now open for all students. Updated prerequisites for accessing the interview.

 

Prerequisites and eligibility

 

Applications are open to anyone holding or being close to obtaining a Bachelor degree (Laurea Triennale for students in Italian universities) or an equivalent/superior title, whose preceding studies include at least 1/4 of credits (45 CFU for Italian Bachelor degrees, which may include the final dissertation) in one or more of the following areas (disciplinary codes for Italian degrees):  Mathematics (MAT/*), Statistics and Mathematical Methods for Decisions (SECS-S/*), Econometrics (SECS-P/05), Computer Science (INF/01, ING-INF/*), Physics (FIS/01-02). The preceding studies may combine different degrees or include certified additional courses.

Applicants not satisfying the above prerequisites, should attend and certify individual courses belonging to one of the specified areas.

Applicants not yet holding the undergraduate title by the time of the application must be in a position to receive it not later than the final enrolment deadline (December of the same year).

 

Evaluation

 

The Admission Committee evaluates the candidate's personal preparation on the basis of the supporting documentation provided during the application and through an interview, which aims at verifying the background knowledge in Analysis, Probability and Statistics. A list of essential background topics is contained in the syllabus. The candidate will be exempted from the verification of the personal preparation when her/his preceding studies include at least 20% of the credits in Mathematics (MAT/*) and the documentation provided with the application certifies a final examination mark not lower than 95% (105/110 for Italian degrees) or the last available grade point average not lower than 93% (28/30 for Italian degrees) on at least 90% of the exam credits in the study plan.

 

Interviews

 

Interviews are held in person at the University of Torino or, if requested by the applicant during the application, on Skype. Candidates residing at a distance which does not require an overnight stay for travelling to Torino are expected to be physically present to the interview.

The interview is generally held in English. Italian speakers are allowed to be interviewed in Italian, in which case proficiency in the English language will also be verified (an exemption will be granted upon certifying during the application a B2 English certificate or an English exam during the previous studies).

 

Applications for the academic year 2018/19

 

  • International students: students holding a degree from a non Italian university, regardless of their citizenship, can apply according to the following time windows:

 

    • before February 28th, all international students
    • from March 15th to April 30th, all international students
    • from May 15th to June 30th, reserved to non-EU citizens legally residing in Italy and EU citizens
    • from June 20th to July 10th, reserved to non-EU citizens legally residing in Italy and EU citizens

Applications can be done through this page.:

https://apply.unito.it/en_IT/courses/course/384-stochastics-and-data-science

 Candidates will be notified about the interview by email, approximately one week before the above interview dates.

  • Domestic students: students holding or about to obtain a degree from an Italian university (typically a Laurea Triennale) can apply for admission according to the following time windows:

 

    • from April 1st to June 30th (3pm), interviews on July 17th-18th
    • from July 10th to August 31th, interviews on September 12th

Candidates will be notified about the interview by email, approximately one week before the above interview dates.

 

 

1st Year

1st Semester

  • Analysis (9 credits)
  • Probability Theory (9 credits)
  • Statistical Inference (9 credits)
  • Programming for Data Science (3 credits)

2nd Semester

  • Stochastic Processes (6 credits)
  • One course chosen between:

o Statistics for Stochastic Processes (6 credits)

o Stochastic Modelling for Statistical Applications (6 credits)

  • Multivariate Statistical Analysis (6 credits)
  • Databases and Algorithms (12 credits)
  • One course freely chosen (6 credits)

 

2nd Year

  • Stochastic Differential Equations (6 credits)
  • One course chosen between:

o Bayesian Statistics (6 credits)

o Statistical Machine Learning (6 credits)

  • Two courses chosen among:

o Complex Networks (6 credits)

o Computational Methods for Statistics (6 credits)

o Decisions and Uncertainty (6 credits)

o Econometrics (6 credits)

o Game Theory (6 credits)

o Information Theory (6 credits)

o Introduction to Data Mining (6 credits)

o Simulation (6 credits)

o Simulation Models for Economics (6 credits)

  • One course freely chosen (6 credits)
  • Thesis *(24 credits)

 

Further Information

 

Analysis

 

At the admission, based on the documentation provided by the applicant and on the interview, the Selection Committee assigns each student to either Analysis Course A (Advanced) or Analysis Course B (Basic). The Committee's decision aims at levelling the enrolled students' knowledge on the topic by the end of the first semester, allowing students without a strong background in Mathematics to enter smoothly the Program and develop the necessary intruments to complete it successfully. To this end, student assigned to the basic course will also have to attend a Tutorial Course in Mathematics (see dates here) before the beginning of the courses. Typically, students with an undergraduate degree in Mathematics or Physics will be assigned to the advanced course and students with an undergraduate degree in other topics (e.g., Economics) will be assigned to the basic course. Exceptions will be discussed with the Program Coordinators on a case-by-case basis upon request by the student.

 

Credits/hours conversion

 

The above indicated credits correspond to Italian CFU and to European ECTS. The typical courses lengths for this study plan based on the credits conversion into classes hours are as follows:

 

  • 3 credits = 24 hours
  • 6 credits = 48 hours
  • 9 credits = 72 hours
  • 12 credits = 96 hours

 

Classes are organised in 12 weeks semesters, so a 6 credits course typically corresponds to 2 classes of 2 hours per week, and a 9 credits course to 3 classes of 2 hours per week.

 

Free credits

 

The two courses freely chosen correspond to 6+6 free credits that can be used by the student to personalize her/his study plan according to personal interests. The free credits can be used for choosing any course among all those available in that academic year at the University of Torino, excluding those whose content is already covered or contained in other courses of the present degree. This will be verified when the student's study plan is formally validated before the final defense.

 

The students are encouraged to select as free credits the optional courses of this degree not included as first choice in the study plan. For example, if course A is chosen from the two-items list (A,B), then course B can also be included in the study plan by using the free credits.

 

(*) The second year courses of the long item list can be anticipated to the first year of studies only as free credits.

 

Thesis

 

The final examination consists in the discussion in front of an ad hoc Faculty Committee of a written dissertation elaborated by the student under the supervision and on a topic agreed with a Faculty member. The thesis can be written in connection with an internship in a public or private institution. See the page Thesis for more details.

 

Language

 

All courses listed above are taught in English, which is the official and working language of the M.Sc. See Admissions for the English proficiency required for applying.

 

 Generalities

 

What is it?

 

The final examination requires writing an original dissertation to be presented and discussed in front of an ad hoc Graduation Committee, composed by at least seven faculty members nominated by the Final Examination Committee. The Thesis is elaborated by the student under the supervision of a faculty member, written in English on a topic agreed with the supervisor. The preparation of the thesis can be part of an internship or can be carried out during a period of study abroad, within international agreements with other universities. See Interships for more details.

 

The final assessment is based upon the following elements: originality of the results, mastering of the subject, mathematical rigour of the thesis and of the presentation, independence shown in carrying out the research, ability of public speaking and of setting the topic within the appropriate literature.

The Final Examination Committee also nominates an additional faculty member to act as Referee. The Referee prepares a report on the final version of the thesis, which is sent to the Graduation Committee and taken into account for the final evaluation.

 

Upcoming graduation dates

 

The cohort enrolled in the a.y. 2016/17 can obtain the degree within the regular duration of the Program in one on the following dates:

 

  • July 17, 2018
  • October 17, 2018
  • December 19, 2018
  • April 9, 2019

 

See dates and deadlines for thesis defense for further details.

 

Thesis supervisor

 

The thesis supervisor must be a full time faculty of the University of Torino (not necessarily an SDS faculty) whose Scientific Disciplinary Sector (SSD, indicated on each faculty's personal campusnet pages, such as these) coincides with the SSD of one of the courses offered in the Program, indicated in each course webpage. Any other thesis advisor, such as non faculty members, can only act as secondary supervisor. The student is expected to contact privately the potential supervisor in order to discuss her/his availability and to agree on a topic for the thesis. In case the preparation of the thesis is part of an internship or carried out during a period of study abroad, the thesis can be supervised by a member of the external institution in quality of second supervisor, provided a faculty member has agreed to serve as main supervisor.


 

 

Thesis preparation and defense

 

Thesis typesetting

 

It is highly recommended (but not compulsory) to use LaTex to typeset the thesis. The suggested template TOPtesi is available here..

 

Thesis defense

 

On the day of the final examination, the student, supported by a slide presentation, illustrates and defends the thesis orally in front of the Graduation Committee. The Committee's questions are usually postponed to the end of the presentation. The time allocated to each candidate's presentation is 20 minutes, so the candidate should calibrate the presentation accordingly, to avoid the risk of being stopped before the end*. To typeset the slide presentation, we suggest using Latex with the Beamer class (a template example can be downloaded here).

The presentation must be sent, in pdf format, to the address mailto:sds-thesis@unito.it not later than h12.00 of theday preceding the final examination. On the defense day, the candidate will find the presentation already uploaded and ready to be used, but the candidate should also bring a memory stick with an electronic copy, in case a last minute replacement is needed. It is also recommended to hand out to the Committee printed copies of the presentation (no specific format required).

 

* A good rule of thumb is between 1 min and 1 min 30 secs per slide, which makes it roughly 15-20 slides for 20 minutes.

 

Final grade mark

 

The final graduation mark (in 110ths) will take into account both the student's study career and the final discussion of the thesis. The starting value of the final graduation mark is obtained by summing the weighted average of the exam's evaluations (converted in 110ths) and 0.05 for every credit (CFU) obtained cum laude (e.g., a 6 credits exam will grant additional 0.3 points). The Graduation Committee can additionally assign a maximum of 8 points for the discussion. If the quality of the work is considered excellent, with a unanimous vote of the Graduation Committee, the maximum is increased to 10 points. The student who has achieved a score of 110/110, can be awarded the summa cum laude.

 

Administrative procedure

 

How to submit the application

 

The student needs to log into her/his MyUnito account with the student credentials and follow the instructions to submit the application. Step by step instructions for the submission are available here*. See tab  Thesis submit deadline  for further details

Please note that in order to be admitted to the Final Defense, the student must obtain the clearance (nulla osta) from the library of the Dept of Mathematics (Via Carlo Alberto 10, Torino) that certifies that no book loan is still pending. This should be done not later than a week before the defense date.

 

Thesis Referee request

 

The Final Examination Committee nominates an additional faculty member to act as Referee. The candidate agrees, with her/his supervisor, upon three faculty members to be suggested to the Final Examination Committee by filling the Thesis Referee request form, where this paper version of the request, signed by the supervisor, is also to be uploaded. See tab  Thesis submit deadline for the relative deadlines. In addition, please also send the signed paper version of the request to sds-thesis@unito.it. Once you received confirmation of the chosen Referee by email communication from the Final Examination Committee, please remember to insert the Referee's name in the online application.

 

How to pay the graduation fees

 

The payment of the Graduation Fees must be done by using a MAV form, available at the Students Office. Additional details are available here. 

 

Please note that five working days must pass before checking that the light next to the "Graduation Fees entry"  is switched from red to green color on the page MyUnito. Then the student can go on with the submission of the application. In order to avoid unnecessary delays, it is strongly suggested to make the payment of the Graduation Fees not too close to the administrative deadlines, since the system needs a a few days to register the payment. 

 

How to submit a pdf version of the thesis

An electronic copy (pdf file) of the thesis must be uploaded not later than 10 days before the final defense date. Step by step instructions for the submission are available here*. After the submission, the student must send the electronic copy (pdf file) of the thesis to the referee indicated by his/her supervisor.

Paper copies of the thesis

In addition, the student is required to make two paper copies of the thesis and to bring them the day of the final defense. One of them has to be handed to the supervisor. 

 

Renouncement

 

Students who already applied for the thesis session and intend to renounce are obliged to submit a written waiver to the Student Service Office with one of the following methods:

  • by contacting the Help Desk
  • by sending a fax to the number 011/6704693, including the waiver and a copy of the student's id card
  • by contacting directly the Students Office.

Please note that students who renounced a thesis session are not automatically enrolled into the next one. It is then mandatory to apply again for the chosen session. The payment, however, is not due again.

 * Both the online procedure and the instructions are for the moment in Italian; we are trying to obtain English versions of these.

 

Other information

 

For more information or help with the above procedures, please enquire to the Final Examination Committee writing to sds-thesis@unito.it.

 

 

A.y. 2018/19

 

Calendar

  • Tutorial Course on "Essentials on Mathematics": Sep 5, 6, 7, 10 at h. 10-13 and 14-16
  • Tutorial Course on "Essentials on Probability": Sep 11, 12, 13, 14 at h. 10-13 and 14-16
  • Tutorial Course on "Measure Theory": Sep 17-21 
  • First Semester:  from Sep 24th to Dec 21st and from Jan 7th to Jan 11th
  • First Exams Session: from Jan 14th to Feb 22th
  • Second Semester:  from Feb 25th to Jun 4th
  • Second Exams Session: from Jun 5th to Jul 26th
  • Third Exams Session: from Sep 2nd to Sep 20th

 

Career Plan and full-time/part-time commitment

 

All students are required to fill and submit online their Career or Study Plan. Through this procedure the student can choose her/his full-time or part-time commitment to the Program and submit the customized study plan.

See Administrative Deadlines  for the relevant time windows. See also here for general information on Career Plans (in Italian).

 

Note

The personal online Career Plan submission will be open only after the first installment of the tuition fees for the current academic year has been payed.

 

Incoming students from other degrees

Students transferred to this Program from other degrees will be able to fill the Career Plan only when the online system shows the student state as "ATTIVO". If the student state show "IN IPOTESI" or "SOSPESO", please contact the Students Office.

 

Download step-by-step instructions for filling the career plan online.

 

 

Generalities

 

Students international mobility is possible through the Erasmus/Erasmus+ Programme or by means of ad-hoc international cooperation agreements. Several scholarships are available every year for the Erasmus+ mobility. The application procedure is usually published in January at this webpage. Students enrolled in the M.Sc. in Stochastics and Data Science can choose among all destinations available from any Department of the School of Natural Sciences (Mathematics, Computer Science, Physics, Chemistry, Earth Sciences, Life Sciences and Systems Biology, Historical Studies). However, SDS students will be given second priority when applying for destinations signed by departments other than the Mathematics Dept. Note also that applications to destinations classified under areas not directly connected to the M.Sc. would need a preliminary approval by the receiving institution.

 

Erasmus destinations

 

Listed below are the destinations associated to the Mathematics Dept. for the a.y. 2018/19:

-Technische Universität Graz, Austria (www.tu-graz.ac.at)

-Johannes Kepler University Linz, Austria (www.jku.at)

-Université Libre de Bruxelles, Belgium (www.ulb.ac.be)

-Universiteit Gent, Belgium (www.ugent.be)

-Université Catholique de Louvain, Belgium (www.ucl.ac.be)

-University of Ostrava, Czech Republic (www.osu.eu)

-Université de Bordeaux, France (www.u-bordeaux.com)

-Université Grenoble Alpes, France (www.univ-grenoble-alpes.fr)

-Aix-Marseille Université, France (www.univ-amu.fr)

-University of Rennes, France (www.univ-rennes1.fr)

-Universität Augsburg, Germany (www.uni-augsburg.de)

-Bergakademie Freiberg, Germany (www.iuz.tu-freiberg.de)

- Gottfried Wilhelm Leibniz Universität Hannover, Germany (www.uni-hannover.de)

-Universität zu Köln, Germany (www.uni-koeln.de)

-Universität Osnabrück, Germany (www.uni-osnabrueck.de)

-Universität Potsdam, Germany (www.uni-potsdam.de)

-Technical University of Crete, Greece (www.tuc.gr)

-University of Patras, Greece (www.upatras.gr)

-Gdansk University of Technology, Poland (www.pg.gda.pl)

-University of Wroclaw, Poland (www.uni.wroc.pl)

-Universitatea Bucuresti, Romania (www.unibuc.ro)

-Universidad Complutense de Madrid, Spain (www.ucm.es)

-Universidad de Zaragoza, Spain (www.unizar.es)

-University of Basel, Switzerland (www.unibas.ch)

- University of Zurich, Switzerland (www.unizh.ch)

- Universidad de Alcalà, Spain (www.uah.es)

- Universidade Nova de Lisboa, Portugal (www.unl.pt)

 

Note that it is the student's responsibility to check that the destination offers courses consistent with the SDS program and the student's study plan.

 

The complete list of destination is available here. Students applying to agreements not signed by the Mathematics Dept. should make sure (by enquiring to the contact person of the receiving institution) that the receiving Department will allow students coming from a different department to take courses.

 

Non Erasmus destinations

 

The following are active international cooperation agreements for students exchange which do not fall under the Erasmus framework (see here for the complete list):

-National Research University Higher School of Economics (HSE) Saint Petersburg, Russia (https://spb.hse.ru/)

-Forschungszentrum Jülich, Germany (www.fz-juelich.de)

-University of Waterloo, Canada (https://uwaterloo.ca/)

 

Further informatios

 

For further information please contact the Erasmus Committee at the address sds-erasmus@unito.it

 

 

An internship is a position held by the student as a trainee in an organization in order to gain work experience. It provides the opportunity to familiarise with the labor market before the conclusion of one's studies by applying the knowledge acquired during the Program to concrete problems of interest for a company and by acquiring new related skills. Being involved in a professional environment, the internship allows the student to learn more about the career path one intends to pursue. Furthermore, employers are much more likely to hire someone with previous work experience which, for students, can indeed be acquired through an internship.

 

Where

 

Internships can be held at research institutions or in public or private companies. The selection of the hosting institution can be done according to the three following possibilities:

  • The websites of the Job Placement office of the School of Natural Sciences and of the Job Placement office of the School of Management and Economics offer a list of possible companies and internships.
  • Students can find a hosting institution, not listed in the job placement offices' lists, by their own initiative. In this case, the institution needs to stipulate a standard agreement with the University of Torino. Refer to the homepage of the Job Placement office of the School of Natural Sciences for more details.
  • Orientation Days are organized in the first semester of every academic year, where companies and research institutions presents their activities and internship possibilities. These are great opportunities to meet hosting institution and interact directly with them. Look out for these announcements, some of which will be advertised to the SDS mailing list.

 

How

 

Internships can be formally recognised as CFU in the student's Career Plan, according to the one of the two following, mutually exclusive, possibilities:

 

Regular Internship (6/12 CFU)

 

The internship substitutes 6 of the 12 free credits in the student's Career Plan. After the approval by the Committee, the student inserts the internship in the career plan by selecting the code MFN1439 when asked to choose the free credits. In exceptional cases, when justified by the quality of the Internship, the Committee can also grant 6 further CFU which are listed in the Career Plan in addition to the full M.Sc. study load of 120 CFU. In this case the Internship will amount to 12 CFU, and the Career Plan to a total of 126 CFU.

 

Thesis related to the internship activities (24/30 CFU)

 

If the Internship and Orientation Committee evaluates that the thesis topic is strictly related to the internship activities, the time commitment spent for the internship activities can substitute the time commitment foreseen for the thesis, amounting to 24 CFU. In this case the student is still required to produce a dissertation to be defended at the final examination under the supervision of a faculty member, possibly the Internship internal advisor, which will be mostly based on the internship experience. In exceptional cases, when justified by the quality of the Internship, the Committee can also grant 6 additional CFU which substitute 6 of the 12 free credits in the career plan, amounting to a total of 30 CFU in recognition of the Internship.

 

Administrative procedure

 

Internships can be formally recognised as CFU in the student's Career Plan subject to prior and final approval by the Internship and Orientation Committee and the Executive board.

 

Important note:

 

It is the student's responsibility to take the necessary administrative steps with sufficient anticipation to allow the Committees the time for evaluating the proposal, prior to the beginning of the Internship, and to be able to modify the Career Plan in order to include the internship (informations on the Career Plans are available here).

 

Procedure:

 

1. A standard agreement between the hosting institution and the Turin University needs to be stipulated. For all the institutions present in the lists of the two job placement offices, the agreement is already signed. If not, refer to the homepage of the Job Placement office of the School of Natural Sciences for more details.

2. Once the hosting institution has been selected and the agreement signed (if needed), it is necessary to find an Internship Supervisor, responsible for the activities within the institution, and a Faculty Advisor among the faculty members. In accordance with the Internship Supervisor and the Faculty Advisor, the student fills an Internship Project proposal, following this template. The Project must to be coherent with the Career Plan, regardless of the type of Internship chosen (thesis related or not).

3. The Internship Proposal is sent to the Internship and Orientation Committee via email (sdsinternship@ unito.it). The committee will evaluate the proposal and provide a recommendation to the Executive Board for the final approval.

4. After the approval by the Executive Board is notified to the student, the final Internship Project (following this template, currently only in italian) to the Job Placement offices of the School of Natural Sciences at least 20 days before the formal beginning of the internship.

5. During the internship, compile and sign the presence logbook.

 

Contacts

 

The Internship and Orientation Committee is currently composed by Marco Beccuti, Raffaele Argiento, Cristina Zucca.

For further informations and questions, please contact the Internship and Orientation Committee via email at the address sds-internship@unito.it

 

 

Students already holding registered exams from another Laurea Magistrale can request their validation, when the syllabi are congruent with SDS courses. The request is done in two stages: by first sending a validation proposal to the Executive Committee; followed, in case of positive outcome, by completing the formalities with the Academic Office.

The validation proposal can be sent (after enrolment) by email to the address sds-program@unito.it, enclosing the following documents:

  • A validation request form (a pdf version of the filled doc/odt form suffices);
  • A validation proposal (to be filled in all its non-yellow parts and sent in xls/ods format);
  • the official transcript of the exams for which the validation is requested;
    • any additional documentation if considered useful for proving the congruency of the respective syllabi.

 

 

The University's Job Placement Service has been established in order to help its students and new graduated (who held their university degree within 18 months) to enter the labor market. All the updated information can be found at https://en.unito.it/services/job-placement

 

 

Program Coordinator

Laura SACERDOTE

Department of Mathematics

Tel: 0116702919 Fax: 0116702878

Email: laura.sacerdote@unito.it

 

Deputy Program Coordinator

Matteo RUGGIERO

ESOMAS Department

Tel: 0116705758

Email: matteo.ruggiero@unito.it

 

Academic Office

Ilenia BALLONE-and Mario GALLIANO

Department of Mathematics

Tel: 0116702943 / 2801 Fax: 0116702878

Email: ccs.mat@unito.it

 

Who can I ask about ...?

 

The Program (general enquiries, program structure, admission procedure) after reading carefully the information published on this website and especially the page Admissions

Program coordinators, at the email sds-program@unito.it

 

Visas, formal requirements and enrolment for foreign students or students with foreign previous degree

International students office - segrstu.stranieri@unito.it

Vicolo Benevello 3A (first floor), 10124, Torino. Tel. +39 011 670 4498/4499

 

Technical problems with the online application and enrolment procedure (after admission)

Foreign students: International students office -segrstu.stranieri@unito.it

Italian students: Students office of the School of Natural Sciences

 

Classes calendar and schedule

Roberta Sirovich - roberta.sirovich@unito.it, Cristina Zucca - cristina.zucca@unito.it

 

Internships

The Internship and orientation committee - sds-internship@unito.it

 

Erasmus and exchange programs

The Erasmus committee - sds-erasmus@unito.it

 

Thesis defense and final examination

The Final examination committee - sds-thesis@unito.it

 

12 Committees

 

Executive Board (Giunta)

(with mandate for validation of students' transfers, study plans and previously acquired exams)

  • Elena Cordero
  • Matteo Ruggiero
  • Laura Sacerdote
  • Rossano Schifanella
  • Stefano Bruno (student)

Admission Committee

  • Elena Cordero
  • Bertrand Lods
  • Matteo Ruggiero
  • Laura Sacerdote
  • Rossano Schifanella
  • Rosa Meo

Tutors

  • Bertrand Lods
  • Rosa Meo
  • Zucca Cristina

 

Erasmus and Internationalisation Committee (Comm. Erasmus e Internazionalizzazione)

  • Bertrand Lods
  • Federico Polito

Quality Control Committee (Comm. Monitoraggio e Riesame)

  • Stefano Favaro
  • Matteo Ruggiero
  • Laura Sacerdote
  • Rossano Schifanella
  • Flavio Lisdero (student)
  • Claudio Peroni (student)
  • Christan Rollo (student)
  • John Yearsley (student)

Internship and Orientation Committee (Comm. Stage e Orientamento)

  • Raffaele Argiento
  • Marco Beccuti
  • Cristina Zucca

Final Examination Committee (Comm. Prova Finale)

  • Elvira Di Nardo
  • Roberto Esposito
  • Pierpaolo De Blasi

Advisory Board (Comitato di Indirizzo)

  • Alberto Barberis, Unione Industriali Torino
  • Valentina Barbero, Reale Mutua Assicurazioni
  • Piero Bianucci, La Stampa
  • Andrea Beltratti, Eurizon Capital SGR
  • Antonio Colangelo, European Central Bank
  • Fabrizio Fantini, Evopricing
  • Silvio Fraternali, Responsabile Direzione Sistemi Informativi, Intesa Sanpaolo Group Services
  • Mario Gioannini, Compagnia di San Paolo
  • Giuseppe Grande, Head of Financial Division, Bank of Italy
  • Daniela Leo, Cassa Depositi e Prestiti
  • Renato Ottina, ACG Teamsystem
  • Fabrizio Lecci, New York Life Insurance
  • Diego Mattone, McKinsey & Company
  • Guglielmo Tomaselli, Telecom Italia Lab

 

Last update: 21/09/2018 23:31
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