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Statistics  (SAS1)

BSc (NFQ Level 8) · Academic Year 2025/2026
School
School of Mathematics and Statistics
Attendance
Full Time
Level
Undergraduate
NFQ Level
8
Award
Bachelor of Science
Mode of Delivery
On Campus
Programme Director
Dr Michael Fop
Overall Programme Credits:
240
Programme Credits:
Stage 1
Core/Option: 55 Electives: 5
Stage 2
Core/Option: 50 Electives: 10
Stage 3
Core/Option: 50 Electives: 10
Stage 4
Core/Option: 60 Electives: 0
Major/Minor Core & Option Credits:
Stage 3: 50
Stage 4: 60

Curricular information is subject to change.

If you are interested in doing an Internship as part of Stage 4, you must indicate your interest now (in Stage 3).
See full details www.ucd.ie/science/careers/internships/students/

The 21st Century has given us the Data Society. All aspects of society are now producing large quantities of data and all areas of society from corporations, to government, to sport, to entertainment are increasingly making data driven decisions. Statistics is the science of data and the aim of our programmes are to equip our graduates with the necessary statistics and data analytics skills to make an impact and excel in the modern data oriented society. Our graduates are already in high demand with a 100% employment level in the year following graduation. Indeed the demand has been growing substantially over the last 5 years and we are contacted continually by employers seeking qualified statistics graduates. We offer the only complete undergraduate and postgraduate programme in Statistics on the island of Ireland and we are recognised internationally as a centre of excellence in Statistics. This programme is aimed at students who wish to gain a deep understanding of the concepts of modern statistics and a mastery of the associated skills and technologies. Our students will become autonomous inquisitive learners capable of formulating and creatively solving relevant problems in the language of statistics. Our graduates will be in demand by employers and academic research institutes for their ability to use the tools they have learned to explain, describe and predict. We aim to provide a teaching and learning environment that develops confidence and independence through a wide variety of interactive formats, both inside and outside the classroom, including lectures, tutorials, webwork, blackboard and computer assisted labs.


1 - Demonstrate an indepth understanding of statistics
2 - Use the language of logic to reason correctly and make deductions
3 - Approach problems in an analytical, precise and rigorous way
4 - Explore and manipulate abstract concepts
5 - Apply statistical reasoning and techniques to formulate and solve problems
6 - Model real world problems in a statistical framework
7 - Confidently analyze and draw information from large quantities of data
8 - Analyze and interpret data, find patterns and draw conclusions
9 - Use the power of modern technology to augment statistical problem solving
10 - Work independently and as part of a team
11 - Carry out research into a specific topic, including a survey and synthesis of the known literature
12 - Give oral presentations of technical statistical material at a level appropriate for the audience
13 - Prepare a written report on technical statistical content in clear and precise language

Students’ performance will be reviewed at the end of the academic year. Students who fail 50% or more of their registered modules, and who fail to progress to the next stage of their programme, will be identified under the UCD Continuation – Academic progress policy. Students’ performance will continue to be reviewed in subsequent trimesters and students will be invited to meetings with the College of Science office for support and guidance.

Where the rate of progression and performance over two academic years is deemed unacceptable, a case will be submitted to the Governing Board for review. A recommendation for discontinuation may be the outcome of this review.

As Stages 3 and 4 have the most dynamic components of the programme, and the material studied previously may no longer be relevant, a student who has been away from the programme for a significant period should be required to register again to Stage 3. The upper limit for completion of Stages 3 and 4 should be six years if they choose to do 120 credits with 20 in each year.

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. A degree in Statistics also opens doors to graduate studies in both taught and research programmes.

UCD Science Office

You can contact the UCD Science Office in the following ways:




  • Submit your query using our dedicated Contact Form.

  • Drop into the office in the UCD O'Brien Centre for Science, Science East, Room E1.09. Our office opening hours are 10am to 4pm (during term time).


Stage 3

Students take 40 credits of core modules and 10 credits of option modules. Additional credits can be selected from option modules or, alternatively, 10 credits can be selected from elective modules.


If you are interested in doing an Internship as part of Stage 4, you must indicate your interest now (in Stage 3). See full details www.ucd.ie/science/careers/internships/students/

Stage 4

Students take 30 credits of core modules and 30 credits of 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 Type Module   Trimester Credits
Stage 3 Core Modules
STAT30010 Time Series Autumn  5
Stage 3 Core Modules
STAT30080 Models - Survival Models Autumn  5
Stage 3 Core Modules
STAT30090 Models - Stochastic Models Autumn  5
Stage 3 Core Modules
STAT30340 Data Programming with R (Blended) Autumn  5
Stage 3 Core Modules
STAT40110 Design of Experiments Autumn  5
Stage 3 Core Modules
STAT30250 Advanced Predictive Analytics Spring  5
Stage 3 Core Modules
STAT30270 Statistical Machine Learning Spring  5
Stage 3 Core Modules
STAT40080 Nonparametric Statistics Spring  5
Stage 3 Options - A) Min 2 of:
Students should select 10 credits from this list.
ACM30080 PDEs in Financial Maths Autumn  5
Stage 3 Options - A) Min 2 of:
Students should select 10 credits from this list.
ACM41020 Maths of Machine Learning Autumn  5
Stage 3 Options - A) Min 2 of:
Students should select 10 credits from this list.
STAT40020 Actuarial Statistics I Autumn  5
Stage 3 Options - A) Min 2 of:
Students should select 10 credits from this list.
STAT40800 Data Prog with Python (online) Autumn  5
Stage 3 Options - A) Min 2 of:
Students should select 10 credits from this list.
MATH30380 Financial Mathematics Foundations Spring  5
Stage 3 Options - A) Min 2 of:
Students should select 10 credits from this list.
STAT40070 Actuarial Statistics II Spring  5
Stage 4 Core Modules
MATH40550 Applied Matrix Theory Autumn  5
Stage 4 Core Modules
STAT40110 Design of Experiments Autumn  5
Stage 4 Core Modules
STAT40400 Monte Carlo Inference Autumn  5
Stage 4 Core Modules
STAT41070 Bayesian Data Analysis Autumn  5
Stage 4 Core Modules
STAT40150 Multivariate Analysis Spring  5
Stage 4 Core Modules
STAT40880 Research Project - Stats & Data Sc Spring  5
Stage 4 Options - A) Min 5 of:
Students should select at least 5 options from the list below. Please note that students who successfully completed SCI30080 will be registered by the School to the module.
ACM30080 PDEs in Financial Maths Autumn  5
Stage 4 Options - A) Min 5 of:
Students should select at least 5 options from the list below. Please note that students who successfully completed SCI30080 will be registered by the School to the module.
ACM41020 Maths of Machine Learning Autumn  5
Stage 4 Options - A) Min 5 of:
Students should select at least 5 options from the list below. Please note that students who successfully completed SCI30080 will be registered by the School to the module.
MATH30360 Measure Theory and Integration Autumn  5
Stage 4 Options - A) Min 5 of:
Students should select at least 5 options from the list below. Please note that students who successfully completed SCI30080 will be registered by the School to the module.
SCI30080 Professional Placement-Science Autumn  5
Stage 4 Options - A) Min 5 of:
Students should select at least 5 options from the list below. Please note that students who successfully completed SCI30080 will be registered by the School to the module.
STAT40020 Actuarial Statistics I Autumn  5
Stage 4 Options - A) Min 5 of:
Students should select at least 5 options from the list below. Please note that students who successfully completed SCI30080 will be registered by the School to the module.
STAT40800 Data Prog with Python (online) Autumn  5
Stage 4 Options - A) Min 5 of:
Students should select at least 5 options from the list below. Please note that students who successfully completed SCI30080 will be registered by the School to the module.
ACM40990 Optimisation in ML Spring  5
Stage 4 Options - A) Min 5 of:
Students should select at least 5 options from the list below. Please note that students who successfully completed SCI30080 will be registered by the School to the module.
COMP40725 Introduction to Relational Databases and SQL Programming Spring  10
Stage 4 Options - A) Min 5 of:
Students should select at least 5 options from the list below. Please note that students who successfully completed SCI30080 will be registered by the School to the module.
MATH30370 Markov Chains Spring  5
Stage 4 Options - A) Min 5 of:
Students should select at least 5 options from the list below. Please note that students who successfully completed SCI30080 will be registered by the School to the module.
MATH30380 Financial Mathematics Foundations Spring  5
Stage 4 Options - A) Min 5 of:
Students should select at least 5 options from the list below. Please note that students who successfully completed SCI30080 will be registered by the School to the module.
MATH40480 Probability Theory Spring  5
Stage 4 Options - A) Min 5 of:
Students should select at least 5 options from the list below. Please note that students who successfully completed SCI30080 will be registered by the School to the module.
STAT40070 Actuarial Statistics II Spring  5
Stage 4 Options - A) Min 5 of:
Students should select at least 5 options from the list below. Please note that students who successfully completed SCI30080 will be registered by the School to the module.
STAT41010 Stat Network Analysis Spring  5
Stage 4 Options - A) Min 5 of:
Students should select at least 5 options from the list below. Please note that students who successfully completed SCI30080 will be registered by the School to the module.
STAT41120 Machine Learning and AI Spring  5

See the UCD Assessment website for further details, including worked examples of how degree award GPAs are calculated

Module Weighting Info
 
  Award GPA
Programme Module Weightings Rule Description Description >= <=
BHSCI001 Stage 4 - 70.00%
Stage 3 - 30.00%
Standard Honours Award First Class Honours

3.68

4.20

Second Class Honours, Grade 1

3.08

3.67

Second Class Honours, Grade 2

2.48

3.07

Pass

2.00

2.47