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University College Dublin: Data & Computational Science
| Institution | University College Dublin View institution profile |
|---|---|
| Department | UCD School of Mathematics and Statistics |
| Web | www.ucd.ie/global |
| internationalenquiries@ucd.ie | |
| Telephone | +353 1 716 8500 |
| Study type | Taught |
Summary
The MSc Data & Computational Science course is aimed at students who wish to gain a deep understanding of applied mathematics, statistics and computational science at the graduate level. The course 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 the industry or in academia. The taught modules in the course provide a thorough grounding in the areas of applied mathematics, statistics and computational science; all students complete project work in data and computational science with the option of (supervised) research dissertation.
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 and to become autonomous learners and researchers capable of setting their own research agenda.
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 hands-on experience in computational science and will allow you to apply the key theoretical and practical skills by working on a challenging research topic.
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.
Recent past graduates from this programme and other similar past programmes in the School work in firms including, ICT companies (e.g. Amazon, Meta, Geowox, Sage, Version 1, Vodafone), the financial services industry (e.g. Allianz, Aon, Deloitte, Fidelity Investments, KPMG, Permanent TSB) and other data-intensive businesses (e.g. Accenture, IBM, Intel).
MSc
| Level | NFQ Level 9 |
|---|---|
| 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. |
Fees
| EU | 8790 Euros for per year |
|---|---|
| Non EU | 21460 Euros for per year |
University College Dublin
Why UCD?
University College Dublin is one of Europe’s leading research-intensive universities. Ranked in the top 1% of institutions worldwide, in the overall 2023 QS World University Rankings, UCD was named 181 in the world.
UCD, Ireland’s Global University, is Ireland’s largest university. Established in 1854, the university has a student body of over 38,000 students with more than 9,500 international students drawn from 152 countries. UCD is Ireland's leader in graduate education with over 12,000 graduate students; almost a quarter of whom are graduate research students.
Students are attracted to UCD by the strength …
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