Statistics

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 4 Years
Mode On Campus
Level Undergraduate
Degree Bachelors Degree
Next Intake TBA

Course Overview

The Statistics Bachelors Degree at University College Dublin is designed for intellectually curious individuals eager to understand the world through data. In an era defined by a data revolution, mastering statistical analysis is paramount, with demand for these skills soaring across finance, healthcare, technology, and sports. This programme equips you with a principled approach to making data-informed decisions, moving beyond mere tool usage to a deep understanding of the underlying mathematical principles. You will explore statistical modelling, inferential statistics, and computational science, preparing you to become a leader in the data-driven future.

This full-time, on-campus undergraduate degree is studied over four years, blending theoretical knowledge with practical application. You will engage with modules such as Introduction to Probability, Modern Regression Analysis, Time Series Analysis, and Statistical Machine Learning, alongside a significant research project in your final year. Your learning experience will involve lectures, practicals, and tutorials, fostering autonomous student learning. You will graduate from University College Dublin with the sought-after expertise to develop innovative data analytics tools and shape how data is employed across society, science, and the economy.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This statistics program offers a comprehensive curriculum spanning four years, beginning with foundational mathematical and computational skills essential for scientific inquiry. Students will progress through core statistical concepts including probability, inferential statistics, and various modeling techniques. The program culminates in advanced topics such as time series analysis, machine learning, and Bayesian data analysis, alongside a significant research project, preparing graduates for diverse analytical roles.

1 First Year

Scientific enquiry
Introduction to applied & computational mathematics
Calculus in the mathematical and physical sciences
Applications of differential equations
Linear algebra in the mathematical and physical sciences
Statistical modelling
Mathematical analysis
Numbers & functions
Mathematical analysis
Optional modules
Elective module

2 Second Year

Computational science
Calculus of several variables
Linear algebra in the mathematical sciences
Introduction to probability
Modern regression analysis
Inferential statistics
Introduction to Bayesian analysis
+ modules for 1 other science subject
Elective modules

3 Third Year

Time series analysis
Models – survival
Models – stochastic models
Data programming with AUR
Design of experiments
Advanced predictive analytics
Statistical machine learning
Nonparametric statistics
Option modules
Elective modules

4 Fourth Year

Research project
Bayesian data analysis
Multivariate data analysis
Data collection methods
Applied matrix theory
Models – survival
Monte Carlo inference
Option modules

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 34,232.00
Second Year Fee Tuition fee
USD 34,232.00
Third Year Fee Tuition fee
USD 34,232.00
Fourth Year Fee Tuition fee
USD 34,232.00
Total Program Cost Estimated total tuition
USD 136,929.00

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

Creative & ContentCybersecurityData Science & AnalyticsHealthcare Administration & ManagementHealthcare ConsultingMental Health & CounselingRehabilitation & PhysiotherapySales & Medical AffairsSoftware Development & EngineeringUnmanned Aerial Vehicles (Drones)

Top Employers Hiring for this course

AIB

Accenture

Amazon Web Services

Bank of Ireland

CGI

EY

IBM

INTEL

Why Study Statistics 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 Statistics at University College Dublin

Can I work while studying?

International students can work up to 20 hours per week during term time and 40 hours per week during breaks. No separate work permit is needed.

What English language score do I need for this course?

For English proficiency, the Duolingo overall score should be at least 120. Other accepted tests include TOEFL, IELTS, and PTE, each with specific score requirements.

What jobs can I get after studying this course?

Graduates can pursue careers such as data analyst, statistician, data scientist, research analyst, or market researcher.

What will I actually study in this course?

This course offers a deep dive into data analytics methods and the mathematical principles behind statistical analyses. Students will also engage with real-world applications, preparing them for careers in various industries.

When can I start — what are the intake months?

The intake month for the Statistics course is September. Ensure you apply before this date to secure your spot.
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