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Msc Data and Computational Science

Course Description

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.

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.

- 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.

Visit the Msc Data and Computational Science page on the University College Dublin website for more details!

Student Profiles

UCD Science EU Scholarships for MSc - 9 Awards

Scholarships will be awarded to academically exceptional students and high-calibre graduates working in industry. The awards will cover a portion of the tuition fees per candidate.

Value of Scholarship(s)



Applicants must have completed the application process to the course of their choice and fulfilled all the necessary admissions requirements. Scholarships will be awarded on academic merit.

Application Procedure

No separate application is required. All eligible applicants who complete their programme application by 31 st May 2016 will be considered for the scholarship.

Further Information


Entry Requirements

A minimum of Upper Second class honours degree (2:1) or higher, or the international equivalent, in a highly quantitative subject such as Mathematics, Physics, Statistics, Engineering.

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