Overview
The Master’s programme in Stochastics and Data Science at the University of Turin stands out as a premier choice for students aiming to delve deep into the realms of probability, statistics, and data analysis. The university is renowned for its robust academic reputation, consistently ranking among the top institutions in Italy. With a rich history and a commitment to research excellence, the University of Turin offers a stimulating environment for students to thrive.
Why Stochastics and Data Science at the University of Turin?
Students choosing this programme benefit from the university's strong partnerships with various industries and research institutions, facilitating valuable networking opportunities. The Department of Mathematics "Giuseppe Peano" is equipped with state-of-the-art facilities and resources, ensuring that students have access to the latest technology and research tools. This unique combination of academic rigor and practical application prepares graduates for successful careers in data science and related fields.
Tuition Fee Breakdown
The tuition fees for the Stochastics and Data Science programme are structured as follows:
- International students: EUR 600 per year
- European students: EUR 600 per year
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum is meticulously designed to cover a wide array of topics essential for mastering data science. Key modules include:
- Probability Theory
- Statistical Inference
- Data Analysis Techniques
- Machine Learning
- Stochastic Processes
- Statistical Modelling
- Big Data Analytics
This diverse syllabus ensures that students gain a comprehensive understanding of both theoretical and practical aspects of data science.
Careers with Stochastics and Data Science
Graduates of the M.Sc. in Stochastics and Data Science find themselves well-prepared for a variety of roles within the data science sector. Alumni have successfully secured positions in prestigious companies and organisations, working as data analysts, statisticians, and machine learning engineers. The programme's emphasis on practical skills and theoretical knowledge enables graduates to excel in diverse industries, including finance, healthcare, and technology.
Programme Structure
Courses include:
- Data Science
- Statistics
- Calculus
- Analytics
- Computer Science
- Cybersecurity
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , EEA/EU
-
- Starting
- Apply before , International
-
Language
Credits
Delivered
Campus Location
- Turin, Italy
Disciplines
Statistics Data Science & Big Data View 8 other Masters in Statistics in ItalyWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Other requirements
General requirements
- 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.
Student Insurance via Studyportals Partner
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.
Studyportals partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at University of Turin and/or in Italy, please visit Student Insurance Portal.
Tuition Fees
-
International Applies to you
Applies to youNon-residents600 EUR / year≈ 600 EUR / year -
EU/EEA Applies to you
Applies to youEU/EEA Nationals600 EUR / year≈ 600 EUR / year
Additional Details
The tuition fees for M.Sc. programs at the University of Torino depend on the family income and range between 600 and 2800 Euros per year.
Living costs
Torino
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Stochastics and Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility