Graduate Taught (level 9 nfq, credits 90)
MSc Applied Mathematics & Theoretical Physics covers concepts in fields as diverse as continuum mechanics, hydrodynamics, mathematical biology, waves, non-linear dynamics, numerical analysis, advanced mathematical methods, modern mathematical physics and complex systems theory.
offers broad opportunities for future employment in research, development, predictive modelling and risk assessment and informatics-related industry sectors.
developed in close connection with the Simulation Science and Computational Physics specialties, offering students both a robust training in computational methods on top of the solid theoretical and mathematical foundation.
Who should apply?
Full Time option suitable for:
Domestic(EEA) applicants: Yes
International (Non EEA) applicants currently residing outside of the EEA Region. Yes
Our Applied Mathematics and Theoretical Physics MSc is aimed at students with a strong background in Physics, Mathematics or a related Natural Science, who wish to learn state-of-the-art mathematical models and methods, applied to quantitative analysis of a broad range of physical phenomena.
Vision & Values Statement
This MSc program provides a positive experience of applied mathematics and theoretical physics with state-of-the art applications ranging from cosmology to nano-world. We encourage/educate our students to become active, lifelong and autonomous learners with good prospects of employment in economic sectors requiring analytical skills. Our students, who should have a strong background in the physical sciences or a relevant engineering field, will become well-grounded in the fundamentals of modern Applied Mathematics and Theoretical Physics topics with an appreciation of more specialised knowledge and the current frontiers of research. Our learning environment emphasises hands-on theoretical and computational work via a research module that is a large part of the MSc programme, in addition to in-class, project and problem-solving work. Our students will be endowed with professional values including scientific integrity and ethical behaviour.
Nature of the learning environment
The environment is research-based, with a deep level of expertise available to the students in their chosen field. The students will experience an environment where cross-disciplinary, industry and international connections are rich.
Students will have access to courses aligned to a nationally unique range of research expertise across a broad range of Applied Mathematics and Theoretical Physics fields, including Fluid Dynamics, General Relativity, Statistical Physics, Quantum Field Theory, Condensed Matter Theory and Theoretical Astrophysics.
Teaching and Learning Approaches
The programme culminates in a research project. In reaching this point, the student is supported in their learning through lectures, practical/laboratory work, small project work, seminars, and the advancement of team and self-directed skills.
The graduates from this programme should be familiar with a range of advanced analytical and numerical methods and data analysis technologies (including computational programming languages, software packages, methods and algorithms) and interfacing between physical-based modelling and applied (e.g., biomedical or material science) systems.
-Describe the state-of-the art knowledge and skills in Applied Mathematics and Theoretical Physics.
-Apply knowledge gained and skills developed to specific fundamental or industrial problems.
-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.
-Draw on a suite of transferable 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.
-Formulate a mathematical model of a physical phenomenon, execute and report the results of an analytical theory, develop the limiting solutions and compare results critically with experimental or numerical evidence.