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Computational Physics

MSc Computational Physics

Graduate Taught (level 9 nfq, credits 90)

Computational Physics is a basic specialisation that offers broad opportunities for future employment in research, development, data analytics and informatics-related industry sectors.

At UCD, our MSc Programme in Computational Physics is developed in close connection with the more applied NanoBio and NanoTechnology specialties, offering students both a solid training in computational methods and a direct access to laboratory-based research projects.

The programme will enhance students’ CVs with expertise which is much sought-after by employers in a broad range of sectors, including the bio-pharmaceutical, telecommunications, data mining and analysis, IT consulting and green technologies industry sectors. The course is also a stepping-stone to PhD research in the areas of theoretical and computational physics, biological and medical physics, nanotechnology and nanoscience.

Students help design their own curricula (negotiated structure)

Who should apply?
Full Time option suitable for:

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

This programme is ideal for any graduate with a strong background in Physics, Mathematics or a related Natural Science, wishing to learn how to convert a mathematical model of a physical system into accurate and robust computer programs that can capture quantitatively its behavior.

Course Description
Students will learn how to plan and develop their modelling programs and algorithms to imitate the underlying processes of a physical system, and how to analyse and test the results of their calculations. In the negotiated learning framework, the students will be able to take modules in programming, mathematical and numerical methods and deepen their knowledge in modern theoretical and experimental physics research projects from atomistic and molecular modelling to nanooptics, spectroscopy and nanotechnology related applications.

Entry requirements

Entry Requirements
• 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 proficiency 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.

Duration

1 year full-time.

Number of credits

90 credits

Careers or further progression

The programme prepares you for a career in industry or for further PhD research. Career opportunities are broad, including the bio-pharmaceutical, 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, biological and medical physics, nanotechnology and nanoscience. Recent and prospective employers include Deloitte & Touche, Murex Inc., Intel, Pfizer, Merck, Philips, Tullow Oil, the University of Edinburgh, Imperial College London, and National Institutes of Health, USA

Further enquiries

Contact Name:
Nicolae Buchete
Contact Number:+353(0)1 716 2088

Subjects taught

Students will learn how to plan and develop their modelling programs and algorithms to imitate the underlying processes of a physical system, and how to analyse and test the results of their calculations. In the negotiated learning framework, the students will be able to take modules in programming, mathematical and numerical methods and deepen their knowledge in modern theoretical and experimental physics research projects from atomistic and molecular modelling to nanooptics, spectroscopy and nanotechnology related applications.

Modules will be decided upon agreement with the Programme Director, indicative modules available include:

Applied Quantum Mechanics
Computational Biophysics and Nanoscale Simulations
Nanofluidics and Biosimulation
Biomimicry
Numerical Weather Prediction
Advanced Statistical Physics
Advanced Quantum Mechanics
Numerical Algorithms
Stochastic Models
Time Series Analysis
Physics Research Project

Comment

Key
Students and staff have access to state-of-the-art computational and laboratory-based technology platforms through direct collaborations with the Irish Centre for High-End Computing (ICHEC) and several associated UCD research institutes including the Complex Adaptive Systems Laboratory (CASL), the UCD Conway Institute of Biomolecular & Biomedical Research, and Systems Biology Ireland.

Application date

The following entry routes are available:

MSc Computational Physics (Negotiated Learning) FT (F120)
Duration 1 Years
Attendance Full Time
Deadline Rolling *

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

Enrolment and start dates

Next Intake: 2017/2018 September.

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

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