Full Time option suitable for:

Domestic(EEA) applicants: Yes
International (Non EEA) applicants currently residing outside of the EEA Region. Yes

This MSc program provides a positive experience of applied mathematics and theoretical physics with state-of-the art applications ranging from cosmology to nanoworld. 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.

Programme outcomes

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.

• Apply knowledge gained and skills developed to specific fundamental or industrial problems.
• Describe the state-of-the art knowledge and skills in Applied Mathematics and Theoretical Physics.
• 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.
• Engage actively in addressing research topics of current relevance.
• 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.
• Use the underlying physics of the field to find, assess and use up-to-date information in order to guide progress.

No Modules to display for this Course Modules will be decided upon agreement with the Programme Director

MSc Applied Mathematics & Theoretical Physics (F124) Full Time
EU          fee per year - € 8475
nonEU    fee per year - € 24800

MSc Applied Mathematics & Theoretical Physics (F125) Part Time
EU          fee per year - € 4245
nonEU    fee per year - € 12400

***Fees are subject to change

• This programme is intended for applicants who have a strong background in physics, chemistry, engineering, material sciences or a related discipline with a significant physics content.
• An upper second class honours or international equivalent is required. In special circumstances, students with a strong physics background and 2.2 class honours may be accepted.
• Applicants whose first language is not English must also demonstrate English language profi ciency of IELTS 6.5 (no band less than 6.0 in each element), or equivalent. Applicants with an IELTS score of at least 5.5 may apply for admission to the UCD Pre-Masters Pathway programme

Professor Adrian Ottewill, UCD School of Mathematics and Statistics & Complex and Adaptive Systems Laboratory (CASL)

Adrian Ottewill is UCD Professor of Mathematical Physics, with research interests in general relativity (gravitational entropy, detection of gravitational radiation) and quantum fi eld theory in curved space-time (Hawking evaporation of black holes, quantum mechanical origin of structure in the universe). Professor Ottewill is a Principal Investigator in the Complex and Adaptive Systems Laboratory (CASL).

Dr Vladimir Lobaskin, UCD School of Physics & Complex and Adaptive Systems Laboratory (CASL)

The research projects in Dr Lobaskin’s group at UCD are in the area of theory and simulation of nanostructured biosystems. His main scientific contributions are related to structure and interactions in charged colloidal dispersions, colloidal dynamics, mechanics of biomolecules, and fl ocking of active particles. He contributed to the development of multiscale simulation techniques and computational packages for soft matter research: MOLSIM and ESPResSo. CASL is a dynamic interdisciplinary research community advancing scientifi c knowledge by extracting value from data that will provide insight and innovations to help major national and global challenges through mathematics and computational modelling.

The following entry routes are available:

* Courses will remain open until such time as all places have been filled, therefore early application is advised