Data and Computational Science University College Dublin

Overview

The M.Sc. in Data and Computational Science at University College Dublin offers students a deep dive into the intersection of applied mathematics, statistics, and modern computing. This comprehensive programme is designed to equip graduates with the theoretical and practical tools required to solve complex scientific problems and manage large-scale data sets. By combining deterministic mathematical modelling with Bayesian analysis, the curriculum ensures a robust understanding of contemporary data-driven sciences.

Why Data and Computational Science at University College Dublin?

Students benefit from an environment that fosters autonomous learning and research excellence. The university provides access to intensive programming modules that develop highly sought-after skills in data analytics and high-performance computing. With topical application areas such as cryptography, financial mathematics, and numerical weather prediction, the programme remains at the forefront of active research. The inclusion of a supervised research dissertation or project work allows for hands-on experience in tackling challenging, real-world computational topics.

Tuition Fee Breakdown

• International fee: EUR 26660 per year
• European fee: EUR 9530 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

Modules may include:

• Applied Matrix Theory
• Modern Regression Analysis
• Data Programming with R
• Data Programming with Python
• Prob & Stats
• Optimisation in ML
• Uncertainty Quantification
• Multivariate Analysis
• Bayesian Analysis

Careers with Data and Computational Science

Graduates are highly valued for their technical expertise and research capabilities, making them ideal candidates for PhD-level study or professional roles in data-intensive industries. Recent alumni have secured positions in major ICT firms such as Amazon, IBM, Intel, Meta, and Vodafone. Additionally, the programme opens doors to the financial services sector, with graduates working for organisations like AIB, Fidelity Investments, and Aon, as well as global consultancy firms including Accenture and EY. The skills acquired in statistical modelling and data analytics ensure strong demand across both academia and the private sector.