Do you have a curious mindset and a thirst for knowledge about the world around you? This course 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 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.

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. 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 Programming with AUR
• Design of 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

Timetables & Assessment

Each student will have their own timetable based on their individual module selection. This is a full time course and classes may include lectures, practicals and tutorials, depending on the subjects. Students will also be expected to study independently (autonomous student learning). Assessment varies with each module but may comprise continuous assessment of practicals, written exams and online learning activities.

For detailed information on subject content here

You may be interested in the following Blog posts: Studying UCD Science.

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

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 programs. Many of our graduates pursue advanced degrees, which further deepen their knowledge and expertise in the field, providing numerous opportunities for career advancement.

• Level 5/6 QQI-FET
  
• Open Learning Entry Route
• Mature Entry Route
• DARE Entry Route
  
• HEAR Entry Route
  
• University Access
  

Dr Michael Fop
UCD School of Mathematics and Statistics
Belfield,
Dublin 4

Email: askscience@ucd.ie