Applied Mathematics & Theoretical Physics

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.

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.

MSc Applied Mathematics & Theoretical Physics
Graduate Taught (level 9 nfq, credits 90)
The MSc Applied Mathematics and 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 the 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 & Touche, Murex Inc., Intel, Pfi zer, Merck, Philips, Tullow Oil, the University of Edinburgh, Imperial College London, and National Institutes of Health, USA.
Curricular information is subject to change

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.

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.

Core
Bio-inspired technologies PHYC40940

Stage 1 - Option
Dynamical SystemsACM30190
Electrodynamics & Gauge TheoryACM40010
Advanced Topics in Computational ScienceACM40080
Riemannian Differential GeometryACM40090
Numerical AlgorithmsACM40290
High Performance Computing (ICHEC)ACM40640
Scientific Programming Concepts (ICHEC)ACM40660
Gen Relativity & Black HolesACM40750
Applied Quantum MechanicsPHYC40020
High Energy Particle PhysicsPHYC40080
General Relativity & CosmologyPHYC40120
Quantum Theory of Condensed MatterPHYC40200
Applied OpticsPHYC40210
Theoretical AstrophysicsPHYC40360
Computational Biophysics and Nanoscale SimulationsPHYC40470
Advanced Statistical PhysicsPHYC40650
Quantum Field TheoryPHYC40800
Physics Research Project 30PHYC40840
Physics Research Project 45PHYC40850
Physics Research Project 60PHYC40860
Techniques in BiophysicsPHYC41070
Time SeriesSTAT30010
Monte Carlo InferenceSTAT40400
Applied Statistical ModellingSTAT40510
Open Days and Events
Student stories
See details of any upcoming events and how to register.

Overview:
DURATION:1 YearsATTENDANCE:Full TimeNEXT INTAKE:2023/2024 SeptemberCONTACT NAME:Vladimir LobaskinCONTACT NUMBER:

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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

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

90

1 year full-time

MSc Applied Mathematics & Theoretical Physics (F124) Full Time
EU: fee per year - €8750
nonEU: fee per year - €25600

***Fees are subject to change.

Next Intake: 2020/2021 September

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 & Touche, Murex Inc., Intel, Pfi zer, Merck, Philips, Tullow Oil, the University of Edinburgh, Imperial College London, and National Institutes of Health, USA.