Stochastics and Data Science
University of Turin, Italy
Master of Science in Stochastics and Data Science
University of Turin
Mathematics, Statistics & Data Science
Program Overview: M.Sc. in Stochastics and Data Science
The Master of Science in Stochastics and Data Science at the University of Turin is a two-year graduate program that provides a solid and modern education in probabilistic, statistical, and computational methods. The program brings together the expertise of three departments — Mathematics, ESOMAS, and Computer Science — and is currently the only program of its type in Italy to award a degree in Mathematics.
Entirely taught in English, the curriculum equips students with deep knowledge in Applied Mathematics, Probability, Statistics, and Machine Learning. These skills are essential for performing mathematical modelling under uncertainty and for analysing complex, high-dimensional datasets with rigorous mathematical understanding.
Housed within the Department of Mathematics "Giuseppe Peano," the program emphasizes both theoretical foundations and practical computation. Graduates emerge prepared for careers in data science, quantitative analysis, and research, or for advanced doctoral studies in Statistics, Mathematics, Computer Science, and related fields.
Key Program Highlights
- Only program of its type in Italy awarding a degree in Mathematics (LM-40)
- Joint initiative combining expertise from three University of Turin departments
- Entirely taught in English with a strong international student community
- Inspired by leading Data Science graduate programs in the USA and Europe
Curriculum and Modules
The curriculum is carefully designed to cover a wide range of topics essential for mastering stochastics and data science. Students progress from foundational courses in analysis and probability to advanced electives in machine learning, stochastic modelling, and econometrics, gaining both theoretical depth and computational proficiency.
Probability Theory
9 ECTSCovers advanced probability concepts including measure theory, convergence theorems, and stochastic foundations necessary for rigorous data analysis and modelling under uncertainty.
Statistical Inference
9 ECTSExplores methods of estimation, hypothesis testing, and confidence intervals, providing the statistical framework for drawing conclusions from complex data sets.
Analysis
9 ECTSStrengthens mathematical foundations with advanced topics in real and functional analysis, supporting the theoretical underpinnings of stochastic processes and data science methods.
Databases and Algorithms
12 ECTSCovers database management systems, algorithmic design, and computational techniques essential for handling, querying, and processing large-scale data efficiently.
Multivariate Statistical Analysis
6 ECTSFocuses on techniques for analysing data involving multiple variables simultaneously, including principal component analysis, factor analysis, and clustering methods.
Stochastic Processes
6 ECTSIntroduces the theory and applications of stochastic processes including Markov chains, Brownian motion, and martingales, forming the backbone of stochastic modelling.
Elective Modules
Admission Requirements
The M.Sc. in Stochastics and Data Science welcomes highly motivated students from diverse academic backgrounds. While a bachelor's degree in Mathematics, Statistics, Physics, or Computer Science is ideal, talented students with different degrees who demonstrate strong quantitative aptitude are also encouraged to apply through Uni4Edu.
Academic Requirements
- Degree RequirementBachelor's degree or equivalent qualification (Laurea Triennale for Italian universities)
- Recommended BackgroundAt least one-quarter of credits (45 CFU equivalent) in Mathematics, Statistics, Computer Science, Physics, or Econometrics
- Ideal DisciplinesMathematics, Statistics, Physics, Computer Science, or Mathematical Methods for Economics
- Selection ProcessIndividual evaluation by the Selection Committee based on submitted documentation
- Access RestrictionsNo restricted number of places; open admission with committee evaluation
Language Requirements
- English ProficiencyB2 level or higher (CEFR) required; proof of proficiency needed for non-anglophone applicants
- IELTSAccepted as proof of English proficiency (minimum B2 equivalent)
- Other Accepted TestsCambridge, TOEFL, or equivalent English language certificates at B2 level or above
Required Documents
For personalized admission guidance, document verification, and application support, please contact Uni4Edu
Scholarships & Funding
The University of Turin offers several scholarship programs designed to support international students pursuing postgraduate studies. These funding opportunities can significantly reduce the financial burden of studying in Italy. Contact Uni4Edu for guidance on eligibility and application procedures.
Talents 4 UniTo Scholarship
EUR 20,000 (over 2 years)Two-year scholarships for talented international students enrolling in English-taught postgraduate programs at the University of Turin. Two scholarships are allocated per eligible course, with EUR 10,000 disbursed annually based on academic performance.
UniTo for Students at Risk
EUR 11,000 per yearAnnual scholarships reserved for international students holding refugee status or other forms of international protection who are enrolling for the first time in a degree program at the University of Turin.
EDISU Piemonte Regional Grants
Varies based on income and meritThe Regional Agency for the Right to Education in Piedmont awards scholarships, housing subsidies, and other grants to students enrolled at universities in the Piedmont region who meet specific economic and merit requirements.
For detailed tuition fee information, please contact Uni4Edu — we will guide you through the costs and available funding options for this program.
Career Prospects
Graduates of the M.Sc. in Stochastics and Data Science are well-prepared for a wide range of careers in data-driven industries. The program's blend of rigorous mathematical training and practical computational skills makes graduates highly sought after in finance, healthcare, technology, and research sectors.
Potential Career Roles
Typical Employer Sectors
Rankings & Recognition
The University of Turin is one of Italy's oldest and most prestigious universities, founded in 1404. It consistently features in major international rankings and is recognized for its strong research output across multiple disciplines, including mathematics and statistics.
| Subject | Ranking Body | Rank |
|---|---|---|
| Mathematics | ARWU | 76-100 |
| Mathematics | EduRank | #344 World / #10 Italy |
| Computer Science | EduRank | #332 World / #10 Italy |
| Sustainability | GreenMetric | #13 World |
How to Apply
Applying for this program is easy with Uni4Edu. Our team will guide you through every step of the process — from document preparation to final enrolment.
Contact Uni4Edu
Reach out to our team via email or phone. We will assess your profile and confirm your eligibility for this program.
Prepare Your Documents
Our advisors will provide you with a personalised checklist of required documents and help you prepare your application package.
Submit Your Application
Uni4Edu will submit your application on your behalf and keep you updated on its progress throughout the review period.
Receive Your Offer
Once accepted, we will help you understand your offer, arrange visa support if needed, and guide you through the enrolment process.
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