Install Findmino as an app for the best experience!
Science & Mathematics
Duration
4 years
Level
Bachelor
Outlook
Growing
A degree in Statistics and Data Analytics teaches you to collect, analyse and interpret data using mathematical and computational methods. You study probability theory, statistical modelling, machine learning and programming in languages such as R and Python. Practical modules introduce you to real-world datasets from sectors including pharmaceuticals, finance and public policy, and you develop skills in data visualisation and reporting. Many programmes include a work placement in your third year, giving you experience with employers such as the CSO, multinational tech firms or financial institutions. A typical week combines lectures, computer lab sessions and project work, building both technical rigour and the ability to communicate findings clearly to non-specialist audiences.
Entry is typically through the CAO, requiring a Leaving Certificate with at least six subjects including Mathematics at Higher level, which is essential for most programmes; English is required at Ordinary level minimum. Higher Level Maths at a strong grade is particularly important, and subjects such as Applied Maths, Physics or Economics are useful preparation. CAO points for this course are generally moderate to high, reflecting strong demand. If you do not meet direct entry requirements, a QQI Level 5 or 6 FET award in a relevant area such as Computing or Science can provide a progression pathway onto Level 7 programmes, with potential transfer to Level 8. Mature students (23 or over) may apply through the mature student CAO route, and the HEAR and DARE access schemes support applicants from socioeconomic or disability backgrounds.
Demand for graduates with strong statistical and data skills in Ireland remains robust, driven by the continued growth of the technology, pharma and financial services sectors. Ireland's position as a European base for many global data-intensive companies means graduate employment rates in this field are consistently high. Starting salaries are competitive, typically ranging from approximately €32,000 to €42,000, with experienced data professionals earning €60,000 or more. The breadth of applicable sectors means graduates have considerable flexibility in where and how they build their careers.
Artificial intelligence and machine learning now form a core part of the data analytics curriculum, meaning graduates enter the workforce already familiar with tools that are transforming the field. AI-driven automation is changing more routine data-processing tasks, but the demand for professionals who can design, validate and critically interpret statistical models is growing rather than shrinking. Skills in communicating uncertainty, assessing model bias and ensuring ethical data use are increasingly valued precisely because AI tools require expert human oversight. Graduates who combine strong statistical foundations with AI literacy are particularly well positioned in the current job market.
Providers and indicative points are curated with AI support. Always double-check with the institution itself.
CAO points (indicative): 280-530 (2024)
* Indicative only: CAO points change every year. Always check the current points on cao.ie and with the institution.
How to apply
Applications for all undergraduate BSc programmes are made through the CAO (cao.ie) with a closing date of 1 February each year. Leaving Certificate or equivalent qualifications are required, with Mathematics typically needed at Ordinary or Higher Level depending on the institution.
Other studies, careers, ideas and blogs you might not know yet.
We use functional cookies and — with your consent — cookies for preferences, statistics and marketing.