Program Overview
The MSc Data & Computational Science program equips students with advanced skills in applied mathematics, statistics, and computational science. It combines theoretical foundations with practical programming and data analytics skills, preparing graduates for careers in research, industry, and data-intensive fields. Graduates are highly sought after for their expertise in data analytics, computational modeling, and scientific research.
Program Outline
Degree Overview:
The MSc Data & Computational Science course is designed for students with strong quantitative backgrounds who wish to pursue careers in data analytics or computational science. The program aims to provide a deep understanding of applied mathematics, statistics, and computational science at the graduate level. It equips students with the skills necessary to conduct research in these computationally based sciences and prepares them for careers in industry or academia.
Objectives:
- Gain a thorough understanding of data and computational science at the graduate level.
- Develop a broad understanding of currently relevant areas of active research.
- Become autonomous learners and researchers capable of setting their own research agenda.
Description:
The program combines aspects of applied mathematics and statistics, offering modules in scientific computing, mathematical modeling, and data analytics. It emphasizes the development of practical programming and data analytics skills, including applications in high-performance computing.
Careers:
Graduates are qualified for research at the PhD level at the interface of applied mathematics, statistics, and computational science. They are valued for their technical knowledge and research skills. Graduates are also in demand by employers for their acquired skills in data analytics, computational and statistical modeling.
Recent graduates work in:
- ICT (Amazon, IBM, Intel, Meta, Paypal, Vodafone)
- Financial services (AIB, Aon, Fidelity Investments)
- Data-intensive industries (Accenture, Bosch, EY)
Other:
- The program offers topical application areas each year, including cryptography, numerical weather prediction, and financial mathematics.
- The dissertation provides hands-on experience in computational science and allows students to apply key theoretical and practical skills by working on a challenging research topic.
- The program values students with strong numerate training and aims to provide a teaching and learning environment that develops confidence and independence through interactive formats.
MSc Data & Computational Science (T306) Full Time EU fee per year - € 9300 nonEU fee per year - € 22530
University College Dublin
Overview:
University College Dublin (UCD) is a leading research-intensive university located in Dublin, Ireland. It is known for its commitment to academic excellence, innovation, and global engagement. UCD offers a wide range of undergraduate and postgraduate programs across various disciplines.
Student Life and Campus Experience:
UCD provides a vibrant and diverse campus experience for its students. The university emphasizes the holistic development of its students, offering a range of opportunities for personal and professional growth.
Key Reasons to Study There:
Research Excellence:
UCD is renowned for its strong research output and collaborations with industry partners.Global Partnerships:
The university boasts a vast network of partner institutions worldwide, providing students with opportunities for international study and exchange.Transformational Learning:
UCD focuses on providing a transformative learning experience that fosters critical thinking, problem-solving, and leadership skills.Other:
UCD is actively involved in promoting sustainability and social responsibility. The university is committed to creating a positive impact on society through its research, teaching, and engagement activities.
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.
Language Proficiency Requirements:
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.
Huge and always expanding. Lots of course options and the professors care a lot about what they teach. Huge amount of students and clubs so there is something for everyone.
Finished my Masters in Food Safety here in 2019. Quality of education is pretty good. Facilities are on point. One of the better universities in Ireland. A lot of extra curricular activities organised all round the year. No racism or any other issue as per my experience. Teaching staff is quite knowledgeable. I loved my time there. 10/10
