MSc Applied Mathematics & Theoretical Physics

Graduate Taught (level 9 nfq, credits 90)

The MSc Applied Mathematics & Theoretical Physics offers broad opportunities for future employment in research, development, predictive modelling and risk assessment, and informatics related industry sectors. At UCD, this MSc programme is developed in close connection with the Simulation Science and Computational Physics specialties, offering students both a robust training in computational methods on top of a solid theoretical and mathematical foundation.
The programme 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.

Download the UCD Science Graduate Taught Courses brochure (pdf)

  • 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.

Careers & Employability

The programme prepares you for a career in industry or for further PhD research. Career opportunities are broad, including the financial, predictive modelling and risk assessment, telecommunications, data mining and analysis, IT consulting and green technologies industry sectors, both in Ireland and internationally. It is also a stepping stone to PhD research in the areas of theoretical and computational physics, nanotechnology and nanoscience.
Recent and prospective employers include Deloitte, Murex, Intel, Pfizer, MSD, Philips, Tullow Oil, the University of Edinburgh, Imperial College London, Los Alamos National Laboratory, and the National Institutes of Health, USA.

Curricular information is subject to change


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. 

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. 

  • 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.

View All Modules Here

Modules will be decided upon agreement with the Programme Director

MSc Applied Mathematics & Theoretical Physics (F124) Full Time
EU          fee per year - € 10200
nonEU    fee per year - € 29100

MSc Applied Mathematics & Theoretical Physics (F125) Part Time
EU          fee per year - € 5030
nonEU    fee per year - € 14550

***Fees are subject to change

Internship Opportunities*
There are opportunities to apply for an internship in an academic or industry workplace. The internship comprises a research project, the theme of which is chosen by the student in agreement with the supervisor and MSc Course Director. The project may include experimental research, modelling/simulations research, and/or other research appropriate to the MSc programme theme.
*Placements are secured through a competitive process and are not guaranteed.

  • 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.
  • Students meeting the programme’s academic entry requirements but not the  English language requirements, may enter the programme upon  successful completion of UCD’s Pre-Sessional or International Pre-Master’s Pathway programmes. Please see the following link for further information http://www.ucd.ie/alc/programmes/pathways/ 
  • These are the minimum entry requirements – additional criteria may be requested for some programmes 

Faculty Profiles

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

Professor Adrian Ottewill’s research interests are in general relativity (gravitational entropy, detection of gravitational radiation) and quantum field theory in curved space-time (Hawking evaporation of black holes, quantum mechanical origin of structure in the universe).

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

Associate Professor Lobaskin’s main scientific contributions are related to structure and interactions in charged colloidal dispersions, colloidal dynamics, mechanics of biomolecules, and flocking of active particles.

The following entry routes are available:

MSc Applied Mathematics & Theoretical Physics (N Learning)FT (F124)
Duration
1 Years
Attend
Full Time
Deadline
Rolling*

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