Course Name 
Physics  Applied Mathematics & Theoretical Physics 
Course Provider 
University College Dublin 
Course Code 
F124 
Course Type 
Postgraduate 
Qualifications 
Award Name  NFQ Classification  Awarding Body  NFQ Level 
Degree  Masters (Level 9 NFQ)
More info...

Major 
National University of Ireland 
Level 9 NFQ 

Apply To 
Course provider 
Attendance Options 
Full time, Daytime 
Location (Districts) 
Belfield 
Qualification Letters 
MSc 
Enrolment and Start Dates Comment 
Next Intake: 2022/2023 September 
Application Date 
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 
Application Weblink 
Web Page  Click Here 
Duration 
1 year fulltime or 2 Years Part 
Course Fee 
MSc Applied Mathematics & Theoretical Physics (F124) Full Time
EU fee per year  € 9100
nonEU fee per year  € 26400
MSc Applied Mathematics & Theoretical Physics (F125) Part Time
EU fee per year  € 4560
nonEU fee per year  € 13200
***Fees are subject to change 
Link to Course Fee 
Web Page  Click Here 
Entry Requirements 
Expand+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 r...
HideThis 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 PreSessional or International PreMaster’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

Course Content 
Expand+MSc Applied Mathematics & Theoretical Physics
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, nonlin...
HideMSc Applied Mathematics & Theoretical Physics
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, nonlinear 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 informaticsrelated 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 stateoftheart 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 stateofthe 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 wellgrounded 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 handson theoretical and computational work via a research module that is a large part of the MSc programme, in addition to inclass, project and problemsolving work. Our students will be endowed with professional values including scientific integrity and ethical behaviour.
Nature of the learning environment
The environment is researchbased, with a deep level of expertise available to the students in their chosen field. The students will experience an environment where crossdisciplinary, 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 selfdirected 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 physicalbased modelling and applied (e.g., biomedical or material science) systems.
 Apply knowledge gained and skills developed to specific fundamental or industrial problems.
 Describe the stateofthe 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, teamwork, 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 uptodate information in order to guide progress.

Subjects Taught 
Expand+Course Modules will be decided upon agreement with the Programme Director.
Stage 1  Option
Dynamical Systems ACM30190
Electrodynamics & Gauge TheoryACM40010
Advanced Topics in Computational Science ACM40080
Differential Geometry and Topology ...
HideCourse Modules will be decided upon agreement with the Programme Director.
Stage 1  Option
Dynamical Systems ACM30190
Electrodynamics & Gauge TheoryACM40010
Advanced Topics in Computational Science ACM40080
Differential Geometry and Topology in Physics ACM40090
Numerical Algorithms ACM40290
High Performance Computing (ICHEC) ACM40640
Scientific Programming Concepts (ICHEC) ACM40660
Gen Relativity & Black Holes ACM40750
Advanced Fluid Mechanics ACM40890
Applied Quantum Mechanics PHYC40020
High Energy Particle Physics PHYC40080
General Relativity & Cosmology PHYC40120
Quantum Theory of Condensed Matter PHYC40200
Theoretical Astrophysics PHYC40360
Computational Biophysics and Nanoscale Simulations PHYC40470
Advanced Statistical Physics PHYC40650
Quantum Field Theory PHYC40800
Physics Research Project 30 PHYC40840
Physics Research Project 45 PHYC40850
Physics Research Project 60 PHYC40860
Monte Carlo Inference STAT40400
Applied Statistical Modelling STAT40510
Time Series Analysis  Act App STAT40700

Number of Credits 
90 
Careers or Further Progression 
Expand+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,...
HideCareers & 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.

Further Enquiries 
Dr Vladimir Lobaskin
Email: vladimir.lobaskin@ucd.ie
Tel: +353 1 716 2432 
Course Web Page 
Web Page  Click Here 
International Students 
Web Page  Click Here 

