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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.
Students take at least 30 credits of modules in Statistics. Students take 20 credits of core modules and 10 credits of option modules.
Module ID | Module Title | Trimester | Credits |
---|---|---|---|
STAT40400 | Monte Carlo Inference | Autumn | 5 |
STAT40150 | Multivariate Analysis | Spring | 5 |
STAT40880 | Research Project - Stats & Data Sc | Spring | 5 |
ACM41020 | Maths of Machine Learning | Autumn | 5 |
MATH30030 | Advanced Linear Algebra | 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 |
MATH30380 | Financial Mathematics Foundations | 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 |
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 |