University of Malta

What you'll study

The programme covers advanced topics in pure and applied mathematics together with computational methods and a substantial research project. Students typically take a combination of taught modules and complete an independent dissertation under academic supervision.

• Core topics: advanced real and complex analysis, abstract algebra and group theory, functional analysis and topology.
• Applied and computational modules: numerical analysis, scientific computing, partial differential equations, mathematical modelling and optimisation techniques.
• Statistics and data modules: probability theory, mathematical statistics, and introductory data-analysis methods suited to mathematical modelling contexts.
• Electives and specialised options: topics such as dynamical systems, mathematical biology, financial mathematics, cryptography or information theory, depending on staff availability and student interest.
• Research dissertation: a substantial original project that develops research skills, including literature review, problem formulation, analytical or numerical work, and a written thesis.

Teaching methods include lectures, problem classes, supervised computing labs and one-to-one supervision for the dissertation. Assessment is by written examinations, coursework, project reports and the final dissertation.

Entry requirements

Applicants are normally expected to hold a good honours degree in Mathematics or a closely related discipline (for example, physics, engineering or statistics) from a recognised university. Typical applicants have a strong grounding in calculus, linear algebra and mathematical proof techniques.

• Academic transcripts and references demonstrating mathematical ability are required.
• Applicants with relevant professional experience or a degree in a neighbouring field may be considered on an individual basis, sometimes with the requirement to take bridging modules.
• Proof of English language proficiency is required from applicants whose first language is not English, in line with the University of Malta's regulations.
• Selection may include review of prior coursework and, in some cases, an interview with academic staff.

Career prospects

Graduates develop strong analytical, modelling and computational skills that are in demand across many sectors. Common career paths include:

• Research and doctoral study in pure or applied mathematics and allied disciplines.
• Quantitative and data roles in finance, insurance, and fintech (model validation, risk analysis, quantitative analytics).
• Data science, machine learning and analytics positions in industry and public sector organisations.
• Engineering and technical modelling roles in energy, telecommunications, and manufacturing.
• Teaching and education at secondary and tertiary levels following any required teaching qualifications.
• Government research units and consultancy where mathematical modelling and data analysis skills are needed.

Why study at University of Malta

The University of Malta offers a well-established mathematics department with a mix of theoretical and application-focused teaching. Small class sizes and accessible academic staff provide close supervision for research projects. Students benefit from the university's computing facilities and collaborations with local industry and research centres, enabling opportunities for applied projects and internships.

Located centrally in Malta, the university provides a multicultural environment and links to European research networks, which can support student exchanges and collaborative research. The programme is designed to equip graduates with both the conceptual rigour and practical skills needed for academic and professional careers that rely on advanced mathematics.