MSc Computational Physics
Graduate Taught (level 9 nfq, credits 90)
Computational Physics is a basic specialisation that offers broad opportunities for future employment in research, development, data analytics and informatics-related industry sectors.
At UCD, our MSc Programme in Computational Physics is developed in close connection with the more applied NanoBio and NanoTechnology specialties, offering students both a solid training in computational methods and a direct access to laboratory-based research projects.
The programme will enhance students' CVs with expertise which is much sought-after by employers in a broad range of sectors, including the bio-pharmaceutical, telecommunications, data mining and analysis, IT consulting and green technologies industry sectors. The course is also a stepping-stone to PhD research in the areas of theoretical and computational physics, biological and medical physics, nanotechnology and nanoscience.
Students help design their own curricula (negotiated structure)
Who should apply?
Full Time option suitable for:
Domestic(EEA) applicants: Yes
International (Non EEA) applicants currently residing outside of the EEA Region. Yes
This programme is ideal for any graduate with a strong background in Physics, Mathematics or a related Natural Science, wishing to learn how to convert a mathematical model of a physical system into accurate and robust computer programs that can capture quantitatively its behavior.
Students will learn how to plan and develop their modelling programs and algorithms to imitate the underlying processes of a physical system, and how to analyse and test the results of their calculations. In the negotiated learning framework, the students will be able to take modules in programming, mathematical and numerical methods and deepen their knowledge in modern theoretical and experimental physics research projects from atomistic and molecular modelling to nanooptics, spectroscopy and nanotechnology related applications.
-Describe the state-of-the art knowledge and skills in the field.
-Apply knowledge gained and skills developed to a specific project in the field.
-Use the underlying physics of the field to find, assess and use up-to-date information in order to guide progress.
-Engage actively in addressing research topics of current relevance.
-Set up, conduct and interpret simulations and/or experiment to create new knowledge.
-Draw on a suite of transferrable skills including critical thinking, problem solving, scientific report writing, communication skills, team-work, independent work, professional networking, project management. Presenting findings both orally and in written form, to thesis level.
-Plan, execute and report the results of a numerical investigation and compare results critically with predictions from theory and experimental evidence.