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Data & Computational Science

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.
• 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.

Who should apply?
Full Time option suitable for:
Domestic(EEA) applicants: Yes
International (Non EEA) applicants currently residing outside of the EEA Region. Yes

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.

Vision and Values Statement
This programme is aimed at students who wish to gain a deep understanding of applied mathematics, statistics and computational science at the graduate level. The programme will equip such students with the skills necessary to carry out research in these computationally based sciences and will prepare them well for a career either in industry or in academia.The taught modules in the programme provide a thorough grounding in the areas of applied mathematics, statistics and computational science; the (supervised) research project introduces the students to an area of computational research. We expect our students to gain a thorough understanding of data and computational science at the graduate level, as well as a broad understanding of currently relevant areas of active research. We expect our students to become autonomous learners and researchers capable of setting their own research agenda. Our graduates will be suitably qualified for research at the PhD level at the interface of applied mathematics, statistics and computational science. They will be valued for their technical knowledge and research skills. Equally, our graduates will be in demand by employers for their acquired skills in data analytics and computational and statistical modelling. We value students who already have a strong numerate training and are motivated to take further their knowledge in this area. We aim to provide a teaching and learning environment that develops confidence and independence through a wide variety of interactive formats, both inside and outside the classroom.

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

1 Year Full-Time, 2 Years Part-Time.

Number of credits

90

Careers or further progression

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 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)

Further enquiries

Contact Number:+353 1 7162452

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.

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

Course fee

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

***Fees are subject to change

Tuition fee information is available on the UCD Fees website. Please note that UCD offers a number of graduate scholarships for full-time, self-funding international students, holding an offer of a place on a UCD graduate degree programme. For further information please see International Scholarships.

Enrolment and start dates

Next Intake: 2019/2020 September

Remember to mention gradireland when contacting institutions!