Programme Overview:
- Duration:
- 1 Years
- Attendance:
- Full Time
- Mode of Delivery:
- Face-to-Face
- Next Intake:
- 2022/2023 September
- Contact Name:
- Laura Barnes
- Contact Number:
- Fees:
- Fee Information
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.
Download the UCD Science Graduate Taught Courses brochure (pdf)
For queries, please email dataandcomp@ucd.ie
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:
Curricular information is subject to change
Full Time option suitable for:
Domestic(EEA) applicants: Yes
International (Non EEA) applicants currently residing outside of the EEA Region. Yes
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.
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.
Course content
Core modules in simulation and modelling:
Core modules in statistics and data analytics
Optional topical modules, for example:
Modules and topics shown are subject to change and are not guaranteed by UCD
MSc Data & Computational Science (T306) Full Time
EU fee per year - € 8370
nonEU fee per year - € 20440
***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.
School of Mathematics and Statistics Application Process FAQ
These are the minimum entry requirements – additional criteria may be requested for some programmes
Staff Profile
Dr Conor Sweeney
School of Mathematics and Statistics
I am a lecturer in Applied and Computational Mathematics and am also a member of the Meteorology and Climate Centre and the UCD Earth Institute. In my research, I am interested in making our weather forecasts better, and improving our understanding of climate change. To do this, I run mathematical models of the atmosphere and the Earth System at High Performance Computing centres such as the Irish Centre for High-End Computing and the European Centre for Medium-Range Weather Forecasts. No model is perfect, however, so my research also involves developing new statistical techniques to remove any systematic errors in the forecasts, and to quantify uncertainties in the model output.
Current research applications include:
· improved forecasting methods for renewable energy and Energy Systems Integration
· extreme events in climate data
· tracking and analysing Ireland's storms from 1900-2100
There are always new challenges in modelling the weather and climate, and the demand for improved methods and skills is increasing all the time!
The following entry routes are available:
* 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
For queries, please email dataandcomp@ucd.ie