The degree covers foundation topics in mathematical, physical and computation required to model a process both theoretically as well as numerically. The teaching methodology emphasises the interlinking between these three aspects through both theoretical and practical applications. Computational practical sessions are carried out with the theoretical physics lectures while physical applications are used in the computational classes' assignments so as to create a continuous transition between mathematical, physical and numerical analysis. We will provide you with mathematics topics to understand and work with the physical laws as well as numerical techniques; physical laws that govern the way the universe evolves, together with their mathematical and numerical formulation; programming methodologies so as to write software that efficiently implements algorithms; various numerical techniques, highlighting their potential use as well as their limitations; and the practical implementation of the theoretical concept through numerical computation laboratory sessions.
The communication and academic skills programme complements students’ main course of study. It introduces them to writing and presenting as situated within academic contexts sensitive to specific disciplines and develops their competences for future careers.
You can submit your application online. The deadlines for submission of applications vary according to the intake and courses. We encourage all international applicants to submit their applications as soon as possible. This is especially important if you require a visa to travel and eventually stay in Malta.
The University of Malta has student accommodation on campus called Campus Hub. Campus Hub is just a 2-minute walk from the main campus. For more information, visit the .
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After you receive an offer from us, our International Office will assist you with visas, accommodation and other related issues.
 
Year   (This/these unit/s start/s in Semester 1 and continue/s in Semester 2)
 
Compulsory Units (All students must register for this/these unit/s)
Solve physical problems using mathematical techniques
Identify and quantify the limits of the numerical results
Validate numerical results and determine their reliability
Use existing, and develop new, simulation and numerical software
Optimize computational programs for different computer architectures
The range of skills acquired during the course includes analytical analysis, physical and mathematical modelling, computational modelling, quantitative and qualitative interpretation of data and problem-solving skills. The ability to carry out unsupervised work is fostered through the provision of a variety of projects. You will also be able to seamlessly mathematically model a system and then solve the governing equations using computational techniques.
Non EU Applicants:
Fee per academic year: Eur 10,800
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As a graduate in Computational Physics (Honours), you will be able to pursue a career as a computational physicist. Your transferable skills will also allow you to engage in diverse problems spreading over a wide range of areas including but not limited to:
Computational problems, such as iGaming, that requires understanding of the underlying physics apart from the ability of programming
Banking and finance, where computational finance has for a very long time absorbed computational physicists
Physics problems, which nowadays makes increasing use of computation in data analysis and simulation.
If you would like to pursue an academic career, you can enrol in one of our local postgraduate programmes in the University of Malta.
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