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.

Tuition Fee Breakdown

- International Fee: EUR 300 per year - European Fee: EUR 300 per year Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The M.Sc. in Data Science and Artificial Intelligence includes a comprehensive curriculum that covers various aspects of the field. Key modules include:

Data Science and Artificial Intelligence for Economy and Society
Data Science and Artificial Intelligence for Health and Life Sciences
Data Science and Artificial Intelligence for Industry and Digital Twins
Foundations of Artificial Intelligence and Machine Learning
High-Performance Computing for Data Science and Artificial Intelligence

Industry Demand

The demand for skilled professionals in data science and artificial intelligence is rapidly increasing across multiple industries, including finance, manufacturing, healthcare, and consulting. Graduates from this programme are well-positioned to meet this demand, equipped with the knowledge and practical experience necessary to thrive in these dynamic sectors.

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:

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

Starting 2026-09-23 00:00:00
- Apply before 2026-05-31 00:00:00 , International
Starting 2027-09-23 00:00:00
- Apply before 2027-03-30 00:00:00 , EEA/EU

Language

English

Credits

120 ECTS

Delivered

On Campus

Campus Location

Trieste, Italy

Disciplines

Data Science & Big Data Artificial Intelligence View 33 other Masters in Data Science & Big Data in Italy

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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

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)

Among the 30 ECTS above, at least 9 ECTS must be obtained in mathematics (MAT/*, SECS-S/06)

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.

Studyportals partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.

Get your student insurance now

Starting 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 Trieste and/or in Italy, please visit Student Insurance Portal.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

2820 EUR / year

≈ 2820 EUR / year
EU/EEA Applies to you

Applies to you

EU/EEA Nationals

2820 EUR / year

≈ 2820 EUR / year

Additional Details

If you are resident in Italy, the amount of the fee depends on your family income, measured according to the ISEE indicator.

Living costs

Trieste

Italy

850 - 1100 EUR / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

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.

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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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