Course Summary
Our BSc in Data Science & Analytics degree at UCC provides education in data storage, manipulation and interpretation using mathematical sciences and computational methods which assists us in solving complex real-world problems.
In the first and second year, you will study the mathematical and computational foundations of data science and analytics. During the third year, you begin applying the fundamentals of data science and analytics to real-life problems and data.
College Link
Career Sectors
This course prepares you for working in the Career Sectors below. Follow the links to get a fuller understanding of the sectors you are preparing for.
Language Options
* Time abroad utilising this language
Disclaimer: Details subject to change - always check with the college.
Entry Requirements
Disclaimer: Details subject to change - If this is a course you are considering applying for you should check on the Colleges' website to ensure you have the latest entry requirements information.
To view Mature Entry requirements, or alternative requirements, please visit Qualifax or the Colleges' website
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QQI / FET Links
Points Calculator for QQI Awards:
Details of the QQI scoring system and a points calculator can be found HERE
The Student
Career Interests
This course is typically suited for people with the following Career Interests. If these interests do not describe you, this course may prepare you for work you may not find satisfying.
Investigative
The Investigative person will usually find a particular area of science to be of interest. They are inclined toward intellectual and analytical activities and enjoy observation and theory. They may prefer thought to action, and enjoy the challenge of solving problems with sophiscticated technology. These types prefer mentally stimulating environments and often pay close attention to developments in their chosen field.
Career Progression
Graduate of the BSc Data Science & Analytics have the option to choose from a range of job opportunities including: Big data developer, Consultancy, Customer analytics, Data analytics & reporting, Data architect, Data engineer, Data scientist, Data science and modelling, Data warehouse specialist, Fraud and risk analytics, and Google analytics.
Further Research
DISCLAIMER: These links are to official sources of information for this course - we accept no responsibility for the information on them.
