| Course Name |
Data & Computational Science |
| Course Provider |
University College Dublin |
| Course Code |
T306 T307 |
| 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, Part time, Daytime |
| Location (Districts) |
Belfield |
| Qualification Letters |
MSc |
| Enrolment and Start Dates Comment |
Next Intake: 2017/2018 September. |
| Application Date |
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 |
Duration:
The following entry routes are available:
1 Year, Full Time. MSc Data & Computational Science (T306)
2 Years, Part Time . MSc Data & Computational Science (T307)
Duration
2 Years
Attendance
Part Time |
| 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. |
| Comment |
Expand+MSc Data & Computational Science
Graduate Taught (level 9 nfq, credits 90)
Who should apply?
Full Time option suitable for:
Domestic(EEA) applicants: Yes
International (Non EEA) applicants currently residing outside of the EEA Region. Yes
...
Hide-MSc Data & Computational Science
Graduate Taught (level 9 nfq, credits 90)
Who should apply?
Full Time option suitable for:
Domestic(EEA) applicants: Yes
International (Non EEA) applicants currently residing outside of the EEA Region. Yes
Part Time option suitable for:
Domestic(EEA) applicants: Yes
International (Non EEA) applicants currently residing outside of the EEA Region. No
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.
|
| Course Content |
Expand+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.
The programme will equip you to solve complex scientific problems and analyse lar...
Hide-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.
The programme will equip you to solve complex scientific problems and analyse large data sets using a range of theoretical tools, from deterministic mathematical modelling to Bayesian analysis.
The intensive programming modules will allow you develop a range of sought-after skills in practical programming and data analytics, including applications in high-performance computing.
Topical application areas are offered each year, including cryptography, numerical weather prediction, and financial mathematics. The dissertation will give you further handson experience in computational science and will allow you to apply the key theoretical and practical skills by working on a challenging research topic.
Course Description
Computational science is at the crossroads between modern applied mathematics and statistics, and our programme recognizes this fact by combining aspects of both in a unique set of tailored modules including scientific computing, mathematical modelling, and data analytics.
|
| 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 ...
Hide-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
Data programming
Multivariate Analysis
Bayesian Analysis
Optional topical modules, for example:
Cryptography and Coding Theory
Advanced Fluid Mechanics
Weather and Climate
Financial Mathematics
Modules and topics shown are subject to change and are not guaranteed by UCD.
|
| Number of Credits |
90 |
| Careers or Further Progression |
Expand+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 and engineering. This is ...
Hide-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 and engineering. This is a new highly specialized programme in the school; recent past graduates from similar programmes in the school work in firms including:
ICT companies (e.g. Google, Paddy Power, LinkedIn)
The financial services industry (e.g. Citi, Deloitte, Geneva Trading, Murex)
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| Course Web Page |
Web Page - Click Here |
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