University of Malta

What you'll study

The programme combines theoretical foundations with hands-on practice in modern AI and data science. Core teaching typically covers machine learning algorithms, deep learning architectures, data mining and knowledge discovery, natural language processing and computer vision. Complementary modules address statistical methods for data analysis, optimisation, scalable data systems and cloud-based deployment.

Students also study ethical, legal and social implications of AI, including data protection and responsible AI design, and are trained in software engineering practices for productionising models. The degree culminates in a substantial individual project or dissertation, in which students apply methods to a real dataset or research question under academic supervision.

• Fundamental Machine Learning and Statistical Methods
• Deep Learning and Neural Networks
• Data Mining, Big Data Platforms and Databases
• Natural Language Processing or Computer Vision (elective options)
• Software Engineering for AI and Model Deployment
• Ethics, Governance and Legal Issues in AI
• Research Project / Dissertation

Entry requirements

Applicants are normally expected to hold a good honours degree in computer science, information technology, mathematics, engineering, statistics or a closely related discipline. Applicants with a different background but with substantial relevant work experience and demonstrable programming and quantitative skills may be considered.

Typical evidence required includes transcripts, a CV showing relevant technical experience, and a personal statement outlining objectives and aptitudes for advanced AI study. International applicants whose first language is not English should provide proof of English proficiency in line with University of Malta regulations.

Career prospects

Graduates leave prepared for technical and research roles across the public and private sectors. Common career destinations include data scientist, machine learning engineer, AI consultant, research analyst, and software developer focused on AI-enabled systems. Employers range from technology companies, financial services and gaming firms to healthcare providers, public sector agencies and research organisations.

The programme also provides a foundation for further doctoral study in AI, data science or related interdisciplinary fields, and for roles that combine technical skills with policy, governance or product management responsibilities in the emerging AI ecosystem.

Why study at University of Malta

The University of Malta is the country’s leading higher education and research institution, offering research-active staff from departments responsible for computing and engineering teaching. Teaching blends lectures, practical lab sessions and project supervision, with access to departmental computing facilities and collaboration opportunities with local industry partners and research centres.

Studying in Malta offers the advantages of a compact, multilingual technology ecosystem and proximity to EU research networks. The University supports students with academic guidance, career services and opportunities for internships or applied projects with local and regional organisations.