Data & Computational Science

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 1 Years
Mode On Campus
Level Postgraduate
Degree Masters Degree
Next Intake TBA

Course Overview

The Masters Degree in Data & Computational Science at University College Dublin is designed for ambitious individuals seeking to master the intersection of applied mathematics, statistics, and computational science. In a world increasingly driven by data, this programme equips you with the advanced analytical and computational skills necessary to tackle complex research questions and drive innovation. You will delve into core areas such as applied matrix theory, modern regression analysis, and optimisation in machine learning, preparing you for impactful careers in computationally-based sciences, whether in industry or academia. This postgraduate degree offers a robust foundation for those aiming to become leaders in data-driven fields.

This full-time, on-campus Masters degree is typically completed over one year, immersing you in a dynamic learning environment. You will engage with a comprehensive curriculum that includes intensive programming modules in R and Python, alongside principles of probability and statistics, and advanced topics like Bayesian analysis. Throughout the course, you will have the opportunity to undertake a significant research project or dissertation, applying your acquired theoretical knowledge and practical programming skills to real-world challenges. Graduates will be well-prepared for roles in data science, machine learning engineering, and scientific research, equipped with sought-after expertise in data analytics and computational modelling.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This course explores core and optional modules within Mathematics and Statistics, covering essential topics such as applied matrix theory, modern regression analysis, and principles of probability and statistics. Students will gain proficiency in data programming using R, Python, and C, alongside advanced concepts in machine learning, artificial intelligence, and Bayesian analysis. The curriculum also delves into numerical algorithms, high-performance computing, and stochastic models, preparing students for complex data science challenges.

1 Stage 1 Core and Optional Modules for Mathematics/Statistics Program

Applied Matrix Theory
Modern Regression Analysis
Data Programming with R
Data Programming with Python (online)
Principles of Probability & Statistics
Optimisation in Machine Learning
Uncertainty Quantification
Multivariate Analysis
Bayesian Analysis (online)
Numerical Algorithms
Scientific Programming Concepts (ICHEC)
Monte Carlo Inference
High Performance Computing (ICHEC)
Advanced Predictive Analytics
Statistical Machine Learning
Machine Learning & AI (online)
Research Project II
Projects in Maths Modelling
Data Programming with C (online)
Stochastic Models (online)
Advanced Data Programming with R
Data Programming with SAS (online)
Advanced Bayesian Analysis (online)
Statistical Network Analysis (online)

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 32,608.00
Total Program Cost Estimated total tuition
USD 32,608.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Accommodation
USD 349.00 - USD 849.00
Food & Groceries USD 3,930.00 - USD 5,613.00
Transport USD 842.00 - USD 1,965.00
Utilities & Bills USD 1,404.00 - USD 2,105.00
Estimated Total USD 6,176.00 - USD 9,683.00

Living cost estimates are based on Belfield campus.

Outcomes & Employability

What happens after you graduate

99%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Aerospace ManufacturingAerospace Supply Chain & LogisticsArtificial Intelligence & Machine LearningHigher Education & UniversitiesIT Support & Systems AdministrationMedia Planning & BuyingMedical Research & Clinical TrialsNetworking & Internet ServicesPublic Health & EpidemiologySecondary & High School Education

Top Employers Hiring for this course

AIB

Accenture

Amazon Web Services

Bank of Ireland

CGI

EY

IBM

INTEL

Why Study Data & Computational Science at University College Dublin

What makes this program stand out

Top 20 in UK For Computer Science

Exeter's Computer Science department consistently ranks among the top 20 in the UK for both teaching quality and research output.

Fast Offers Quick turnaround

Exeter typically responds to applications within 2-3 weeks, giving you clarity on your options quickly.

Flexible Intakes September start

Primary intake in September with January start available for some pathways through the INTO foundation program.

Accredited Industry recognized

Accredited by BCS, The Chartered Institute for IT, meeting requirements for Chartered IT Professional (CITP) status.

Life at University College Dublin in Ireland

What daily life looks like for international students

Language

English

Primary language everywhere

Climate

Mild & Rainy

10-20°C average, pack layers

Safety (Numbeo Safety Index)

Very Safe

Exeter is one of UK's safest cities

Frequently Asked Questions

Common questions about Data & Computational Science at University College Dublin

Can I work while studying?

International students can work up to 20 hours a week during term time and 40 hours during vacation periods. No separate work permit is required for full-time students.

What English language score do I need for this course?

To apply, you must meet specific English language requirements. Acceptable tests include Duolingo, TOEFL, IELTS, and PTE, with scores varying by test and section.

What jobs can I get after studying this course?

Graduates are well-prepared for roles like data scientist, machine learning engineer, and scientific researcher.

What will I actually study in this course?

This program focuses on applied mathematics, statistics, and computational science, preparing students for careers in data science and machine learning. Key areas of study include modern regression analysis and Bayesian analysis.

When can I start — what are the intake months?

The Masters Degree in Data & Computational Science at University College Dublin has an intake in September. This full-time program typically lasts one year, providing an immersive learning experience.
ℹ️️
ℹ️️
ℹ️️
 
Account
  • New student?

Search for universities & courses

ℹ️️
ℹ️️
ℹ️️
ℹ️️