Overview
The Data Science and Engineering programme at Politecnico di Torino aims to train engineers who will be able to manage the entire life cycle of the data analytics process, analyze the problem requirements, collect and store big amount of data, analyze data by means of mathematical and statistical models and machine learning algorithms, visualize information and finally use the extracted knowledge for decisional purposes.
Key facts
- Many scientific and humanistic disciplines are today strongly characterized by a massive use of digital data, mainly used in the analyses underlying the decision-making processes. In all those disciplines, the interdisciplinary professionals who will be formed by the MSc degree in Data Science and Engineering are of fundamental importance.
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Data management and visualization
- Data science lab: process and methods
- Computational linear algebra for large scale problems
- Statistical methods in data science
- Decision making and optimization
- Information Theory and Applications
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
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Credits
Delivered
Campus Location
- Turin, Italy
Disciplines
Computer Sciences Data Science & Big Data Machine Learning View 43 other Masters in Computer Sciences in ItalyExplore more key information
Visit programme websiteWhat 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
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AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- hold a Bachelor degree awarded by an accredited foreign university obtained after at least 15 years of previous education(primary and secondary plus university).In case you are enrolled in a “single cycle” Laurea magistrale course (5 or 6 years degree program) and you have not yet graduated, you must have completed at least 15 years of previous education (minimum 3 years at University level) having obtained at least 180 ECTS credits or equivalent.
- meet curricular and quality requirements of the MS program you want to apply for.
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 Politecnico di Torino and/or in Italy, please visit Student Insurance Portal.
Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residents2601 EUR / year≈ 2601 EUR / year -
EU/EEA Applies to you
Applies to youEU/EEA Nationals2601 EUR / year≈ 2601 EUR / year
Additional Details
- Fees based on Contribution level.
Living costs
Torino
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Check for any work restrictions
Visit programme websiteIn 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 Data Science and Engineering.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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