MSc Medical Physics

1 Year On Campus Masters Program

University College Dublin

Program Overview

The MSc Data & Computational Science at University College Dublin equips you with advanced expertise in mathematical modelling, statistics and scientific computing, blending theory with hands-on programming to solve complex data-driven problems. This one-year full-time programme suits graduates from quantitative backgrounds — such as mathematics, physics, engineering or computer science — who want to build the technical and computational skills that are in high demand across research and industry.

Curriculum structure

Year 1 (Full-time, 12 months)

During your first and only year of study, you’ll gain a deep foundation in both the theory and practice of data and computational science. You’ll begin with core modules such as Applied Matrix Theory, Modern Regression Analysis and Principles of Probability and Statistics, which ground you in the mathematical and statistical principles used to analyse and model data.

As you advance, you’ll sharpen your programming and analytical skills through modules like Data Programming with Python, Data Programming with R, and Optimisation in Machine Learning, with options such as Statistical Machine Learning, High Performance Computing and Bayesian Analysis to tailor your learning to your interests.

Towards the end of the programme, you’ll complete a substantial Research Project in data and computational science, where you’ll apply your skills to a real research question under academic supervision — preparing you for data-intensive roles or further academic study.

Focus areas (in a string):

Applied mathematics, statistics, scientific computing, Python & R programming, machine learning, optimisation, Bayesian analysis, high-performance computing, research project.

Learning outcomes (in a string):

Develop advanced quantitative and computational analysis skills, build and implement data models using Python and R, solve complex scientific and data problems, apply machine learning and optimisation techniques, and undertake independent research in computational science.

Professional alignment (accreditation):

This programme is aligned with UCD’s School of Mathematics and Statistics, ensuring your degree is informed by current research and industry needs, and prepares you for roles in data analytics, computational modelling and research. Graduate skills align with global data science and computational demands, though specific professional body accreditation is not listed.

Reputation (employability rankings):

University College Dublin consistently ranks among the top 1 % of universities worldwide, and its School of Mathematics and Statistics is highly regarded for research and graduate training — giving you a degree recognised by employers in ICT, finance, research and advanced analytics roles.

Experiential Learning (Research, Projects, Internships etc.)

In the MSc Data & Computational Science at University College Dublin, experiential learning is woven directly into how you study, practise, and apply advanced data skills. You’ll gain hands-on experience through intensive programming labs, applied statistical modelling, and a substantial research project — all supported by UCD’s strong computational infrastructure, specialist teaching labs, and one of Ireland’s most research-active mathematical sciences schools. This practical focus ensures you graduate not just understanding data science concepts, but confidently using them in real analytical and research contexts:

This applied learning is delivered through:

Programming-led modules: Core and optional modules such as Data Programming with Python and Data Programming with R are taught through practical labs where you write code, manipulate datasets, and build analytical workflows from scratch.
Applied statistics & modelling: Modules including Modern Regression Analysis, Statistical Machine Learning, and Bayesian Analysis emphasise real problem-solving using real data, reinforcing theory through hands-on computation.
High-Performance Computing exposure: Optional modules like High Performance Computing introduce parallel computing concepts and computational techniques used in large-scale scientific and data-intensive applications.
Research Project: A major individual research project allows you to apply mathematical, statistical, and computational tools to a real research problem under academic supervision — a key piece of evidence of your skills for employers or PhD study.
Collaborative learning: Many modules include group problem-solving, lab-based exercises, and peer discussion, reflecting how data scientists and computational analysts work in professional teams.
Specialist facilities: You’ll study within UCD’s School of Mathematics and Statistics, with access to dedicated computer labs, advanced software environments, and UCD’s high-capacity digital infrastructure.
Library & digital resources: Full access to the UCD Library and extensive online journals and datasets supports advanced research, coding assignments, and independent study throughout the programme.

Progression & Future Opportunities

Graduates of the MSc Data & Computational Science at University College Dublin progress into highly quantitative and in-demand roles across technology, finance, research and data-driven industries. Typical outcomes include careers as Data Scientist, Computational Scientist, Quantitative Analyst, and Research Analyst, with many graduates also progressing to doctoral study — reflecting the programme’s strong analytical depth and research orientation:

Progression & career opportunities include:

University employability support: UCD’s Career Development Centre provides dedicated postgraduate support including one-to-one career coaching, CV and interview preparation, employer networking events, recruitment fairs, and access to graduate and internship roles in analytics, technology, and quantitative research.
Graduate employability reputation: UCD is ranked No. 1 in Ireland for graduate employability (QS Graduate Employability Rankings), highlighting the strong demand for UCD graduates among global employers.
Industry-relevant skillset: The programme’s emphasis on Python, R, statistical modelling, machine learning, optimisation and high-performance computing aligns closely with skills sought by employers in sectors such as technology, finance, consulting, pharmaceuticals, and research & development.
Research and innovation ecosystem: Being part of UCD’s School of Mathematics and Statistics connects students to active research groups and interdisciplinary collaborations across science, engineering and data-intensive research domains.
Graduate outcomes: Alumni commonly secure roles in data analytics teams, quantitative research units, scientific computing roles, or transition into funded PhD programmes in Ireland and internationally.

Further Academic Progression:
After completing the MSc, graduates are well prepared to progress to a PhD in Data Science, Computational Science, Applied Mathematics, Statistics, or related quantitative disciplines at UCD or other leading international universities. The strong research project and advanced mathematical–computational training also support progression into long-term academic, research, and high-level R&D careers.