Data & Computational Science

University College Dublin

 

Course Name Data & Computational Science
Course Provider University College Dublin
Course Code T306 T307
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, Part time, Daytime
Location (Districts) Belfield
Qualification Letters MSc
Enrolment and Start Dates Comment Next Intake: 2019/2020 September
Application Date How to apply?
The following entry routes are available:
MSc Data & Computational Science FT (T306)
Duration
1 Years

Attendance
Full Time

Deadline
Rolling *

MSc Data & Computational Science PT (T307)
Duration
2 Years

Attendance
Part Time

Deadline
Rolling *

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

Apply online at www.ucd.ie/apply
Application Weblink Web Page - Click Here
Duration 1 Year Full-Time, 2 Years Part-Time.
Course Fee

Expand+MSc Data & Computational Science (T306) Full Time
EU fee per year - € 7760
nonEU fee per year - € 19200

MSc Data & Computational Science (T307) Part Time
EU fee per year - € 4235
nonEU fee per year - € 12400 ...

Link to Course Fee Web Page - Click Here
Entry Requirements • This programme is intended for applicants who have an Upper Second class honours degree or higher, or the international equivalent, in a highly quantitative subject such as Mathematics, Physics, Statistics, Engineering.

• 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.
Course Content

Expand+MSc Data & Computational Science
Graduate Taught (level 9 nfq, credits 90)
The MSc in Data and Computational Science is designed for students from highly quantitative disciplines who wish to work in data analytics or computational science.
• Th...

Subjects Taught

Expand+Core modules in simulation and modelling:
Simulation Modelling and Analysis
C and Fortran programming
Parallel computing using MPI
Mathematica for Research

Core modules in statistics and data analytics
Linear Models
Statistical Data Mining
...

Number of Credits 90
Careers or Further Progression

Expand+Careers & Employability
The unique combination of modules and skills offered by this programme will equip graduates to work in a range of specific sectors in data analytics, data science, quantitative modelling in finance, and computational science ...

Further Enquiries Contact Number:+353 1 7162452
Course Web Page Web Page - Click Here