SECTION 1 – THE MAYNOOTH BACHELOR OF ARTS DEGREE
Statistics (group 6 subject) CAO Code: MH101 | CAO Points 2021: 338 Minimum entry requirements: recommended minimum O3/H7 Leaving Certificate Mathematics. For full details about entry requirements see p. 42.
>>Statistics deals with the collection, analysis and interpretation of data. >>You will learn how to use statistical models and visualisation methods to
unlock valuable information and hidden patterns in large volumes of data. >>A degree in Statistics will provide you with tools to address problems
of critical importance to humans such as climate change, developing cancer drugs or managing traffic flows. Why choose this subject? >> We offer Statistics as a Double Major subject which can be combined with most other academic subjects in the Bachelor of Arts degree. This flexibility means you can combine your interest in aspects of society with knowledge of the statistical tools needed to understand data from those fields.
>> Data recording is happening at unprecedented levels on local, national and global scales. The ability to transform data into usable knowledge is a highly sought-after and desirable skill in today’s workforce, be it in business, science, health or social sciences. This subject will strongly enhance your employability.
Course structure 1st year
2nd year
3rd year
BA Bachelor of Arts – Statistics Double Major or as a Minor
>>Statistics is taken with one of your first year subjects. This subject can be, but does not have to be, Mathematical Studies or Mathematics (Pure)
>>Statistics can be taken as a Double Major or as a Minor subject. The second subject can be, but does not have to be, Mathematical Studies or Mathematics (Pure).
>>In year 1 of the BA Double Major programme, Statistics is taken with two or three other subjects. One of these subjects must be Mathematical Studies or Mathematics (Pure)
>>Optional 10 credit Elective in 2nd year (see p. 13 for details) Erasmus/Study Abroad option after 2nd year
For MH101 subject groups table go to p. 45
Possible topics
110
1st year
2nd year
Final year
>>Introduction to Data Science 1 >>Introduction to Data Science 2
>>Data Analysis >>Design and Analysis of Experiments >>R for Statistics and Data Science >>Nonparametric Statistics >>Calculus >>Linear Algebra
>>Probability >>Data Visualisation >>Generalized Linear Models >>Time Series >>Bayesian Data Analysis
