Overview
Why Data Science and Artificial Intelligence at University of Trieste?
- The University of Trieste stands out for its commitment to academic excellence and innovative research. The M.Sc. in Data Science and Artificial Intelligence is designed to equip students with essential skills in artificial intelligence, machine learning, and data analysis. The programme is recognised for its rigorous curriculum and strong industry connections, enabling students to collaborate with leading companies and research institutions. Graduates are well-prepared to become leaders in the digital transformation, whether they enter the workforce or pursue further academic opportunities such as PhDs.
Careers with Data Science and Artificial Intelligence
- Graduates of the M.Sc. in Data Science and Artificial Intelligence can pursue diverse career paths. They often find employment in roles such as data analysts, machine learning engineers, AI specialists, and IT developers. Many alumni have secured positions in prominent companies and organisations, contributing their expertise to various sectors and driving innovation in technology and data-driven decision-making.
Programme Structure
Courses include:
- Advanced programming, High Performance and Cloud Computing
- Machine Learning Operations, High Performance and Cloud Computing
- Optimization for Artificial Intelligence
- Reinforcement Learning
- Algorithmic Data Mining
- Algorithmic Design
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- StartingApplication deadline not specified.
Language
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Credits
Delivered
Campus Location
- Trieste, Italy
Disciplines
Data Science & Big Data Artificial Intelligence View 33 other Masters in Data Science & Big Data 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
Prepare for Your English Test
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
- you must hold an academic degree, or equivalent, with a graduation grade greater or equal to 80 over 110. In the absence of a Bachelor Degree, the weighted average of the exams will be considered instead.
You must have obtained at least 30 ECTS in total in the following topics:
- mathematics (MAT/*)
- computer science (INF/01)
- information engineering (ING-INF/*)
- physics (FIS/*)
- statistics and mathematical methods for decisions (SECS-S/*)
- quantitative economy and finance (SECS-P01, 05)
- molecular biology and genetics (BIO/10, 11, 18)
- You must have an adequate knowledge of English, certified by internationally recognised certification of level B2 or higher, or by passing a test equivalent to level B2.
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.
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Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at University of Trieste and/or in Italy, please visit Student Insurance Portal.
Tuition Fees
-
International Applies to you
Applies to youNon-residentsFree -
EU/EEA Applies to you
Applies to youEU/EEA NationalsFree
Additional Details
Fees are progressively assessed according to the ISEE-U (ISEE for University) value. Calculating the all-inclusive fees : 0€ - € 2.567,00.
Living costs
Trieste
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Science and Artificial Intelligence.
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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