Explore UCD

UCD Home >

Statistics (SAS1)

Undergraduate (Level 8 NFQ, Credits 240)
Academic Year 2024/2025
Internships Available
Study Abroad
Sustainable Development Goals
Duration:
4 Year(s)
Next Intake:
2024/2025 September
Subject Requirements (Laboratory Science)

GCSE A / A Level D

(or AS Level C)
IB SL 6 / HL 4

Subject Requirements (Mathematics)

GCSE A / A Level D

(or AS Level C)
IB SL 6 / HL 4

General Entry Requirements (IB)

29

General Entry Requirements (A-Level)

ABB / BBBD /
BBB + D AS Level

Country Specific Entry Requirements:
Visit the UCD Global Undergraduate Entry Requirements webpage.

Curricular information is subject to change.

Do you have a curious mindset and a thirst for knowledge about the world around you? This degree subject is for you! Statistics is the science of transforming data into knowledge and understanding, and provides a principled approach to making data-informed decisions. As we live through a data revolution, with every sector of the economy, science, and society routinely producing vast amounts of data, the demand for data analytic skills is higher than ever. From finance to healthcare, tech to sports, expertise in statistics is essential for shaping the future of these industries. 

At UCD, Statistics goes beyond simply teaching students how to use data analytics methods and algorithms. We also focus on providing a comprehensive understanding of the underlying mathematical principles behind statistical analyses. By combining methods, theory, programming, and data from real-world applications, our graduates are equipped not just to use existing data analytics tools, but to develop new ones as well. This is a highly sought-after mastery, given the fast-paced, ever-changing nature of the data science field. With this degree subject you will be part of the statisticians and data scientists of the future who will shape how data are employed in society, sciences, and economy.

Information on all our courses including pathways, internships and careers information is available in the UCD Science Undergraduate Courses Entry 2024 Brochure (PDF).

About this Course

Statistics is one of the degree subjects available through the Mathematics stream in the common entry Science course. Students study similar modules for all degree subjects in the Mathematics stream in first year and will study modules for a minimum of two degree subjects in second year. At the end of second year, students choose their degree major. Assuming students meet all the academic requirements in first and second year, students are guaranteed a degree subject from the stream they are studying in second year. We do our best to ensure that students go on to study their top degree subject choice. As we offer plenty of degree subjects in each stream, students have a number of similar degree subjects to choose from as their degree major. For more information on choosing a degree major at the end of Second Year, visit the Mathematics stream page.

This is a sample set of modules that a Statistics student could study each year in UCD. 

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 

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 

Third Year
Time Series Analysis • Models - Survival • Models - Stochastic Models • Data Experiments • Advanced Predictive Analytics • Statistical Machine Learning • Nonparametric Statistics • Option Modules • Elective modules

Fourth Year
Research Project • Bayesian Data Analysis • Multivariate Data Analysis • Data Collection Methods • Applied Matrix Theory • Models - Survival • Monte Carlo Inference • Option modules

Below is a list of all modules offered for this degree in the current academic year. Click on the module to discover what you will learn in the module, how you will learn and assessment feedback profile amongst other information.

Incoming Stage 1 undergraduates can usually select an Elective in the Spring Trimester. Most continuing undergraduate students can select up to two Elective modules (10 Credits) per stage. There is also the possibility to take up to 10 extra Elective credits.

Module ID Module Title Trimester Credits
Stage 2 Core Modules
     
ACM20030 Computational Science Autumn

5

MATH20060 Calculus of Several Variables Autumn

5

MATH20300 Linear Algebra 2 for the Mathematical Sciences Autumn

5

STAT20110 Introduction to Probability Autumn

5

STAT20230 Modern Regression Analysis Autumn

5

STAT20100 Inferential Statistics Spring

5

STAT20180 Introduction to Bayesian Analysis Spring

5

Stage 2 Core Modules
     
Stage 2 Options
     
MATH20150 Graphs and Networks Autumn

5

ACM20150 Vector Integral & Differential Calculus Spring

5

MATH10320 Mathematical Analysis Spring

5

MATH20260 The Mathematics of Google Spring

5

MATH20270 Theory of Games Spring

5

Stage 2 Options
     
Stage 3 Core Modules
     
STAT30010 Time Series Autumn

5

STAT30080 Models - Survival Models Autumn

5

STAT30090 Models - Stochastic Models Autumn

5

STAT30340 Data Programming with R Autumn

5

STAT40110 Design of Experiments Autumn

5

STAT30250 Advanced Predictive Analytics Spring

5

STAT30270 Statistical Machine Learning Spring

5

STAT40080 Nonparametric Statistics Spring

5

Stage 3 Core Modules
     
Stage 3 Options
     
ACM30080 PDEs in Financial Maths Autumn

5

ACM41020 Maths of Machine Learning Autumn

5

STAT40020 Actuarial Statistics I Autumn

5

STAT40800 Data Prog with Python (online) Autumn

5

MATH30380 Financial Mathematics Foundations Spring

5

STAT40070 Actuarial Statistics II Spring

5

Stage 3 Options
     
Stage 4 Core Modules
     
MATH40550 Applied Matrix Theory Autumn

5

STAT30080 Models - Survival Models Autumn

5

STAT40110 Design of Experiments Autumn

5

STAT40400 Monte Carlo Inference Autumn

5

STAT41070 Bayesian Data Analysis Autumn

5

STAT40150 Multivariate Analysis Spring

5

STAT40880 Research Project - Stats & Data Sc Spring

5

Stage 4 Core Modules
     
Stage 4 Options
     
ACM30080 PDEs in Financial Maths Autumn

5

ACM30130 Advanced Computational Science Autumn

5

ACM41020 Maths of Machine Learning Autumn

5

MATH30030 Advanced Linear Algebra Autumn

5

MATH30360 Measure Theory and Integration Autumn

5

SCI30080 Professional Placement-Science Autumn

5

STAT30080 Models - Survival Models Autumn

5

STAT40020 Actuarial Statistics I Autumn

5

STAT40800 Data Prog with Python (online) Autumn

5

STAT41070 Bayesian Data Analysis Autumn

5

COMP30930 Optimisation Spring

5

COMP40725 Introduction to Relational Databases and SQL Programming Spring

10

MATH30380 Financial Mathematics Foundations Spring

5

MATH40480 Probability Theory Spring

5

STAT40070 Actuarial Statistics II Spring

5

STAT40080 Nonparametric Statistics Spring

5

STAT40970 Machine Learning & AI (online) Spring

5

STAT41010 Stat Network Analysis Spring

5

Students may apply to study abroad for a trimester in third year in partner institutions internationally.

Students have the opportunity to complete a Professional Placement module worth 5 credits. This module provides students with an opportunity to undertake a placement in industry (6-10 weeks) in the summer following Third Year.

Students in recent years have completed internships in KPMG, PwC, Brightwind and American Express.

Students can also apply to complete Undergraduate Summer Research Projects in the UCD School of Mathematics and Statistics in the summer after Third Year.

Placements are secured on a competitive basis and are subject to change each year.



More information about the internship module and application process.



 


With a degree in statistics, you will acquire the necessary skills to unlock insights from complex data, and steer crucial decisions across a diverse range of sectors. As a statistician, you will be highly valued across a broad spectrum of fields, such as healthcare, business, bioscience, finance, climate science, economics, sports analytics, education, and government. Our graduates are well-prepared to enter the workforce and make a significant impact in their chosen careers. A degree in statistics also opens doors to graduate studies in both taught and research advanced degrees, which further deepen their knowledge and expertise in the field, providing numerous opportunities for career advancement.

The following advice is for Non-EU applicants. For Irish/EU/UK students, please apply via MyUCD.

The following entry route(s) are available:
 
Science: Mathematics (includes Applied/Financial/Statistics) Stream (MHS2)
Undergraduate Degree (Non EU)
Entry in Sep 2024
Full Time - 4 Year(s) Apply from Oct 2023 Apply

SDG3 SDG4 SDG 7 SDG 9 SDG 11 SDG 12 SDG 14 SDG 15

By studying an undergraduate degree in the Science programme, you will be joining a global community of scientists and will be taught by world-class researchers at the forefront of research in one of the most innovative and diverse programmes in Ireland, encompassing biology, sustainability, chemistry, physics, earth sciences, mathematics and computer science. Faculty who teach on the Science programme draw on their research to provide an inclusive and equitable education for scientists who will be leaders and innovators in a range of industries and research institutes working towards a sustainable and equitable future. 

The curriculum is informed by the following research:

  • Exploring and understanding the processes that drive and can mitigate and enable adaptation to global change from evolutionary, environmental and social perspectives at levels ranging from molecular and genetic to individual, ecosystem and landscape

  • Translating fundamental discoveries to a greater understanding of health and disease, with the ultimate aim of informing novel drug discovery

  • Performing fundamental and applied research with a focus on current societal challenges including the energy transition, environmental change, geohazards and access to natural resources

The College of Science offers a range of degree subjects within the Science and Sustainability common entry courses that embed sustainability principles and are working towards the following Sustainable Development Goals (SDGs):

  • Good Health and Well-being (SGD 3)
  • Quality Education (SDG 4)
  • Affordable and Clean Energy (SGD 7)
  • Industry, Innovation and Infrastructure (SDG 9)
  • Sustainable Cities and Communities (SGD 11)
  • Responsible Consumption and Production (SGD 12)
  • Life Below Water (SDG 14)
  • Life on Land (SDG 15)

The programmes at UCD are designed to equip students with the best education in their chosen field, while at the same time embedding the UN’s sustainable development goals (SDGs) in their education where most relevant.

I decided to study at UCD as I have always loved Mathematics and knew I wanted to study it in college. UCD gave me the flexibility to see what type of Maths subject I enjoyed the most. I was able to try Physics, Mathematics, Statistics and even Chemistry – before deciding to major in Statistics. I love getting to see Mathematics applied to real world data and establishing patterns and reasonings behind different outcomes. I am also Secretary of the Trampoline Club, which I joined back in first year and have made some of my closest friends through the club! In my summer of third year, I completed an internship in data analytics and after I graduate, I hope to work as a data analyst.

Emer Clune, Student

image

Statistics (SAS1)

Undergraduate (Level 8 NFQ, Credits 240)