Physics - Computational Physics

University College Dublin

 

Course Name Physics - Computational Physics
Course Provider University College Dublin
Course Code F120
Course Type Postgraduate
Qualifications
Award NameNFQ ClassificationAwarding BodyNFQ Level
Degree - Masters (Level 9 NFQ)  More info... Major National University of Ireland Level 9 NFQ
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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 Computational Physics (Negotiated Learning) FT (F120)
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 full-time.
Course Fee Fees, Funding and Scholarships
MSc Computational Physics (F120) Full Time
EU fee per year - € 9100
nonEU fee per year - € 26400

MSc Computational Physics (F121) 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 requ...

Comment Facilities and Resources
Access to state-of-the-art computational and laboratory-based technology platforms through collaborations with the Irish Centre for High-End Computing (ICHEC).

Opportunity to collaborate with the researchers in UCD research institutes including the Complex Adaptive Systems Laboratory and Systems Biology Ireland.
Course Content

Expand+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 s...

Subjects Taught

Expand+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 stu...

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 bio-pharmaceutical, telecommunications, data mining and analysis, IT consulting and green technolo...

Further Enquiries Contact Name: Nicolae Buchete
Contact Number:+353(0)1 716 2088
Course Web Page Web Page - Click Here
International Students Web Page - Click Here