Physiscs - Computational Physics

University College Dublin

 

Course Name Physiscs - 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
Apply To Course provider
Attendance Options Full time, Daytime
Location (Districts) Belfield
Qualification Letters MSc
Enrolment and Start Dates Comment Next Intake: 2020/2021 September
Application Date How to apply?
The following entry routes are available:
MSc Computational Physics (Negotiated Learning) FT (F120)

Duration
1 Year

Attendance
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 MSc Computational Physics (F120) Full Time
EU fee per year - € 8750
nonEU fee per year - € 25600

MSc Computational Physics (F121) Part Time
EU fee per year - € 4380
nonEU fee per year - € 12800

***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

Expand+Vision and Values Statement
This MSc program provides a positive experience of current computational methods used in modern physics-related research, with state-of-the art applications from biology, material science, or society. This programme is in...

Course Content

Expand+MSc Computational Physics
Academic Year 2020/2021
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 infor...

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