Heading

Heading

This is some text inside of a div block.
This is some text inside of a div block.
This is some text inside of a div block.
This is some text inside of a div block.
This is some text inside of a div block.
This is some text inside of a div block.
This is some text inside of a div block.
This is some text inside of a div block.
This is some text inside of a div block.
This is some text inside of a div block.
This is some text inside of a div block.
This is some text inside of a div block.
This is some text inside of a div block.
This is some text inside of a div block.
This is some text inside of a div block.
This is some text inside of a div block.
This is some text inside of a div block.
This is some text inside of a div block.
This is some text inside of a div block.
This is some text inside of a div block.
This is some text inside of a div block.
This is some text inside of a div block.
Master in Data Science
#4b4b4b
Master
duration
2 years
location
Naples
English
University of Naples Federico II
gross-tution-fee
€0 Tuition with ApplyAZ
Average Gross Tuition
program-duration
2 years
Program Duration
fees
€0 App Fee
Average Application Fee

University of Naples Federico II (Università degli Studi di Napoli Federico II)

Choosing where to study in Italy in English can feel overwhelming. The University of Naples Federico II (Università degli Studi di Napoli Federico II) makes the decision easier. Founded in 1224, it is one of the oldest public Italian universities and a pioneer of modern research. Today, the institution offers an expanding portfolio of English‑taught programs in Italy, paired with policies that let eligible applicants access tuition‑free universities Italy schemes and the DSU grant—one of the best scholarships for international students in Italy.

Why choose University of Naples Federico II for English‑taught programs in Italy

The University of Naples Federico II combines heritage with forward thinking. It sits consistently in the world’s top 300 on global academic rankings while placing even higher in subject‑specific tables for engineering, medicine, agriculture, and computer science. Its membership in the SEA‑EU Alliance links it to six coastal universities, opening joint degrees and mobility options—an advantage if you want to study in Italy in English and still explore other European labs.

Key departments include:

  • School of Medicine and Surgery – renowned for translational research and partnerships with major hospitals.
  • Faculty of Engineering – strong in aerospace, civil, and environmental disciplines.
  • Department of Agricultural Sciences – focused on Mediterranean food systems and sustainable farming.
  • Faculty of Economics and Business – ideal for data analytics, international management, and fintech.
  • Department of Computer Science – recognised for AI and cybersecurity expertise.

Most of these areas now run English‑taught programs in Italy at bachelor and master level. These courses keep class sizes small, making it easier to interact with professors, build local contacts, and practise language skills. Because the university belongs to the national network of public Italian universities, tuition fees are low and often waived altogether through income‑based rules. Pair that with the DSU grant—financial aid that covers meals, accommodation, and books—and you can cut yearly costs to a fraction of what you might pay elsewhere in Europe.

A living laboratory: life in Naples

Naples, or Napoli, offers a unique setting for anyone looking to study in Italy in English without losing immersion in authentic Italian life. The city hugs the Bay of Naples under the gaze of Mount Vesuvius. Winters are mild (average 10 °C), summers warm yet breezy (around 30 °C), so you can enjoy outdoor study sessions all year.

Public transport is efficient and cheap. A single metro ride costs little more than a cup of espresso, and integrated tickets cover buses and funiculars that climb the city’s hills. As an enrolled student at a public Italian university, you qualify for reduced monthly passes, making daily commutes easy on a lean budget.

Student life thrives in the historical centre. Cobbled streets offer pizzerias, bookshops, and open‑air markets. Federiciani—students of Federico II—meet at Piazza Bellini for affordable aperitivo, swap language tips, and form project groups that span disciplines. If you crave cultural weekends, you can reach Pompeii in thirty minutes, the Amalfi Coast in one hour, and Rome in just over sixty minutes by high‑speed train.

Naples also ranks among Italy’s most affordable big cities. Shared flats near the main campus cost roughly €250–€350 per month, lower than Milan or Florence. Street food—think pizza margherita or fried pasta balls—keeps lunch under €5. Combine that with DSU grant canteen vouchers, and daily living costs stay manageable, reinforcing the “tuition‑free universities Italy” advantage.

Affordable living and tuition‑free universities Italy: how costs add up

Many prospective learners search for tuition‑free universities Italy as a way to limit debt. Federico II fits that goal because fees link to family income and citizenship. If your household earnings sit below set thresholds, you pay zero tuition. Even if you pay full rate, yearly fees rarely exceed €2,400.

Additional savings:

  1. DSU grant (Diritto allo Studio Universitario) – covers up to €7,000 per year across rent, food, travel, and study materials.
  2. University accommodation – single rooms start from €180 per month.
  3. Free Italian language courses – help you integrate and widen part‑time job options.

These numbers matter when you compare Naples to other European tech hubs. Living in a city where overhead is low lets you allocate money towards conferences, side projects, or weekend explorations—key parts of every study in Italy in English journey.

Public Italian universities and career opportunities in Campania

The Campus of San Giovanni a Teduccio, once a factory district, now anchors the regional innovation wave. It hosts Apple Developer Academy, Cisco networking labs, and an Advanced Manufacturing Institute. Engineering and computer‑science students gain first‑hand exposure to agile methods and can pitch prototypes directly to global mentors.

Beyond tech, Naples has a diversified economy.

  • Maritime logistics – Port of Naples handles over 20 million tonnes of cargo annually; internships here suit mechanical, civil, and maritime‑engineering students.
  • Aerospace – Leonardo Aircraft Division and Avio Aero run production plants near Pomigliano d’Arco; they hire federiciani for R&D and quality control.
  • Agri‑food and biotech – Campania is Europe’s “fruit and vegetable garden”. Firms like Mutti, La Doria, and agritech start‑ups cluster near the Department of Agricultural Sciences, giving nutrition and chemistry majors field projects.
  • Cultural heritage and tourism – Restoration labs around Pompeii and the city’s museums need art‑history, geology, and digital‑humanities profiles.

Thanks to Erasmus+ traineeships, Curricular Internships, and strong alumni links, you can secure placements even if you only study in Italy in English and speak beginner‑level Italian. Employers value technical skills, and many operate internationally, so English communication works day to day.

Career support highlights

  • Career Services Office runs CV workshops, mock interviews, and job fairs twice per year.
  • “Contamination Lab” fosters interdisciplinary start‑ups; past teams launched sustainable‑fashion brands and AI‑driven transport tools.
  • Visa‑extension pathways allow non‑EU graduates to stay up to 12 months to seek work, turning a successful internship into a full‑time contract.

These services amplify the advantage that public Italian universities already provide: low costs, strong networks, and government policies welcoming talent.

Broader industries and how they boost your field

Whatever your major, Naples offers industry connections:

  • Computer Science & Data – Smart‑city analytics with Enel X, fintech projects in the city’s new Innovation District, blockchain pilots for port customs.
  • Mechanical/Aerospace Engineering – Wind‑tunnel testing at CIRA (Italian Aerospace Research Centre) in nearby Capua.
  • Biomedical Sciences – Oncology and gene‑therapy trials at CEINGE Biotecnologie Avanzate.
  • Environmental Science – Volcanology and marine‑biology research around Vesuvius National Park and the Gulf of Naples.
  • Design & Architecture – Urban regeneration projects funded by the European Green Deal; student studios collaborate on waterfront re‑planning.

Federico II partners directly with these bodies, weaving applied modules into English‑taught programs in Italy. That means your coursework often solves live business problems, not hypothetical case studies.

Cultural dimension: more than just courses

Studying at the University of Naples Federico II is not only academic. The university runs over 50 student clubs—ranging from robotics to Mediterranean cooking—plus free sports at CUS Napoli. The Erasmus Student Network (ESN) organises Italian conversation cafés, tandem exchanges, and low‑cost trips across the peninsula.

Naples’ culture thrives on music and theatre. Students can attend rehearsals at Teatro di San Carlo for €10 or less. Summer festivals in neighbouring islands—Ischia, Procida, Capri—offer film screenings under the stars. Such events help you practise Italian organically, complementing your study in Italy in English formal classes.

In two minutes we’ll confirm whether you meet the basic entry rules for tuition-free, English-taught degrees in Italy. We’ll then quickly see if we still have space for you this month. If so, you’ll get a personalised offer. Accept it, and our experts hand-craft a shortlist of majors that fit your grades, goals, and career plans. Upload your documents once; we submit every university and scholarship application, line up multiple admission letters, and guide you through the visa process—backed by our admission-and-scholarship guarantee.

Data Science (LM‑Data) at University of Naples Federico II

Looking to study in Italy in English? The Data Science (LM‑Data) master’s at University of Naples Federico II (Università degli Studi di Napoli Federico II) is one of the most rigorous English-taught programs in Italy delivered by public Italian universities, and it fits the affordability model typical of tuition-free universities Italy. You gain deep theoretical knowledge, strong engineering practice, and clear career routes—supported by scholarships for international students in Italy, including the DSU grant.

Why this LM‑Data programme stands out among English-taught programs in Italy

This programme treats data science as a full pipeline: collecting, cleaning, modelling, deploying, and governing data. You do not only learn algorithms; you also learn how to build reliable, ethical, and production‑ready systems. That is why it sits prominently among English-taught programs in Italy.

Key differentiators:

  • A balanced mix of mathematics, statistics, computer science, and domain applications.
  • Serious engineering practice: version control, testing, MLOps (machine‑learning operations), and cloud computing.
  • Strong focus on data ethics, governance, and privacy by design.
  • Research‑grade labs that let you work on real datasets from bioinformatics, finance, mobility, and environmental monitoring.
  • The fee and grant structure that public Italian universities use to keep advanced training accessible.

Curriculum overview: two years, 120 ECTS, from theory to deployment

The LM‑Data degree spans four semesters (two academic years) and totals 120 ECTS (European Credit Transfer and Accumulation System). It blends fundamentals and advanced practice so you can move into industry or a PhD with confidence.

Year 1 — Build the core

  • Mathematical Foundations for Data Science: linear algebra, optimisation, probability theory.
  • Statistical Inference and Modelling: regression, generalised linear models, resampling, causal inference basics.
  • Programming for Data Science: Python, R, data structures, algorithms, software engineering principles.
  • Databases and Data Engineering: SQL/NoSQL, ETL (extract, transform, load), data warehousing, stream processing.
  • Machine Learning I: supervised and unsupervised learning, model evaluation, feature engineering.
  • Research Methods and Reproducible Science: experiment design, version control (Git), notebook hygiene.

Year 2 — Specialise and scale

  • Deep Learning and Representation Learning: CNNs, RNNs, transformers, transfer learning.
  • Big Data Systems and Cloud Computing: distributed processing (Spark), containers, orchestration, serverless.
  • MLOps and Model Lifecycle: CI/CD for ML, model monitoring, drift detection, governance.
  • Data Ethics, Governance, and Privacy: GDPR, fairness, transparency, accountability.
  • Advanced Electives (examples):
    • Natural Language Processing and Large Language Models
    • Reinforcement Learning and Sequential Decision Making
    • Time‑Series Analysis and Forecasting
    • Bayesian Statistics and Probabilistic Programming
    • Computer Vision and Multimodal Learning
    • Causal Inference and Econometrics for Data Scientists
    • Optimisation for Analytics and Operations Research
  • Internship or Master’s Thesis (30 ECTS): industry‑based, research‑oriented, or hybrid.

Assessment includes coding projects, research reports, oral defences, and presentations. Short sprints, hackathons, and case studies mimic real data science teams.

The skills you graduate with

By the end of LM‑Data, you will be able to:

  • Model rigorously: choose and justify algorithms, tune hyperparameters, validate results, and quantify uncertainty.
  • Engineer robustly: design reproducible pipelines, write clean code, test models, and deploy at scale in the cloud.
  • Handle data end‑to‑end: collect, integrate, stream, index, query, and secure heterogeneous data sources.
  • Communicate clearly: translate complex findings into concise reports, dashboards, and policy memos.
  • Act ethically: evaluate fairness, privacy, and bias; implement responsible AI frameworks.
  • Collaborate across domains: work with experts in finance, health, energy, and public administration.
  • Research and innovate: read academic papers critically, implement new methods, and publish results.

These outcomes match what employers and doctoral programmes now expect from advanced data scientists.

Research culture and thesis formats

The Data Science master’s sits inside a research‑heavy environment typical of public Italian universities. You can join projects across:

  • AI for healthcare and bioinformatics
  • Financial risk analytics and algorithmic trading
  • Mobility and smart‑city data streams
  • Climate, energy, and environmental modelling
  • NLP and large language model fine‑tuning
  • Computer vision for manufacturing and quality control
  • Causal inference for policy evaluation

Thesis routes (30 ECTS)

  • Industry‑applied: build an end‑to‑end pipeline, deploy a model, and document business impact.
  • Research‑intensive: implement and extend state‑of‑the‑art methods, produce publishable work.
  • Hybrid: start at the university, validate on partner data, and submit a thesis that satisfies both.

Your final report usually includes code repositories, reproducible notebooks, and practical guidelines for stakeholders.

Career paths: where LM‑Data graduates go

Data scientists trained at this level enter roles such as:

  • Data Scientist / Machine Learning Engineer
  • MLOps / ML Platform Engineer
  • Data Engineer / Analytics Engineer
  • Quantitative Analyst / Risk Modeller
  • AI Product Manager / Technical Project Manager
  • Applied Research Scientist
  • Responsible AI, Governance, and Compliance Specialist

Sectors include finance, healthtech, energy, manufacturing, retail, mobility, cybersecurity, government, and consulting. Many graduates also move to PhD programmes in machine learning, statistics, computer science, or applied domains.

Data governance, privacy, and responsible AI

Modern data science needs clear rules:

  • Privacy by design and GDPR compliance from the first line of code.
  • Fairness, bias, and explainability methods integrated in model selection and monitoring.
  • Model cards and data sheets for transparency and lifecycle documentation.
  • Auditability and reproducibility for both research and regulated industries.
  • Security and robustness to protect pipelines against data poisoning or adversarial attacks.

You will learn to balance innovation with accountability—vital for roles in regulated sectors.

Tooling and platforms you will master

  • Programming: Python, R, bash, SQL; sometimes Scala or Julia for specific electives.
  • Libraries: scikit‑learn, TensorFlow, PyTorch, XGBoost, LightGBM, CatBoost.
  • Data engineering: Spark, Kafka, Airflow, dbt, Delta Lake or Iceberg.
  • Visualisation: matplotlib, seaborn, Plotly, ggplot2, dashboarding tools.
  • Cloud & DevOps: Docker, Kubernetes, Terraform, CI/CD (GitHub Actions, GitLab CI), MLflow, DVC.
  • MLOps: feature stores, model registries, experiment tracking, drift monitoring.
  • Experiment design: A/B testing, bandits, sequential analysis.
  • Causal and Bayesian methods: do‑calculus, propensity scores, DAGs, MCMC.

Soft skills that matter in data teams

The course develops soft skills through labs and team projects:

  • Communication: tell a story with data, write short technical memos, and explain trade‑offs.
  • Teamwork: collaborate across roles—data engineers, product owners, domain experts.
  • Project management: agile sprints, backlog grooming, and stakeholder mapping.
  • Ethical leadership: raise concerns, justify decisions, and document responsibly.
  • Teaching and mentoring: help junior team members and non‑technical partners.

These abilities make you stand out during interviews and on the job.

From master’s to PhD: your research gateway

If you want to continue in academia or industrial research:

  • Core modules in probability, optimisation, and advanced ML prepare you for doctoral coursework.
  • You gain early research experience through supervised projects, seminars, and paper reading groups.
  • Supervisors guide applications for PhD scholarships and international calls.
  • You learn to write research proposals and undergo peer review, skills that transfer to grant writing in industry.

Continuous professional development

Data science changes fast. After graduation you can keep learning through micro‑credentials in:

  • Large language models and prompt engineering
  • Reinforcement learning and operations research
  • Causal ML and econometrics for policy and product
  • Responsible AI, auditing, and compliance frameworks
  • Advanced MLOps and platform engineering

This lifelong learning mindset ensures you stay valuable as tools and standards evolve.

Final take

Data Science (LM‑Data) at University of Naples Federico II (Università degli Studi di Napoli Federico II) gives you a complete, production‑ready skill set: strong maths and statistics, modern machine learning, serious engineering practice, and responsible AI principles. As one of the standout English-taught programs in Italy inside the framework of public Italian universities, it combines academic depth with affordability through tuition-free universities Italy, the DSU grant, and other scholarships for international students in Italy. If you want to study in Italy in English and graduate ready for high‑impact roles or a PhD, this programme offers a clear, future‑proof path.

Ready for this programme?
If you qualify and we still have a spot this month, we’ll reserve your place with ApplyAZ. Our team will tailor a set of best-fit majors—including this course—and handle every form and deadline for you. One upload, many applications, guaranteed offers, DSU grant support, and visa coaching: that’s the ApplyAZ promise. Start now and secure your spot before this month’s intake fills up.

They Began right where you are

Now they’re studying in Italy with €0 tuition and €8000 a year
Group of happy college students
intercom-icon-svgrepo-com