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Data & Computational Science

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.

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.

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

Number of credits

90

Careers or further progression

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)

Subjects taught

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.

Comment

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.

Application date

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.

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