BSC BACHELOR OF DATA SCIENCE
- Qualification
- Bachelor Of Science Degree
- CAO Points
- 423
- CAO/MU Apply code
- MH207
- Award Type and NFQ level
- Undergraduate Degree (8)
- Study Mode
- Full time
- Closing Date
- 01 July 2025
Overview
Degree Overview
>Data Science is the science of collating, managing, analysing, visualising and understanding data. It is key to unlocking the hidden wisdom that is stored in the vast amounts of data available in today's world.
>Data Science students take Statistics, Computer Science and Mathematics and crucially will learn to appreciate the overlap between eliciting valuable information from data through statistical reasoning and managing databases via complex manipulations.
>There is a transfer pathway from 1st year MH201 Science to 2nd year MH207 Data Science for students who have successfully taken Data Science, Computer Science, Mathematics and another subject. Students must attain 55% in Mathematics. Places are limited and are based on 1st year results.
>If you want to play a central role in solving the world’s critical problems through data, or play an influential role in developing the next generation of Artificial Intelligence, then this degree programme is for you.
>By choosing this degree students become equipped with tools to collect and manage large volumes of raw data, to develop statistical models and understand their mathematical underpinnings, and to unlock valuable information stored within local, national and global datasets. In other words, they become exceedingly data literate!
Course structure
Duration: 4 years
Duration: 4 years
1st year
- Students take a specialised Data Science subject alongside Computer Science, Mathematics and choose one other subject from Engineering Science or (additional) Computer Science
2nd year
- Statistics, Computer Science and Mathematics
3rd year
- Statistics and Computer Science
4th year
- Statistics and Computer Science
- Students undertake two capstone projects
Disclaimer
The modules below are indicative of the content associated with this course of study.
The modules are subject to change as the curriculum is revised and reviewed annually.
After Undergraduation
After Graduation
>Data literacy is one of the most highly sought after skills by employers in today's data driven world, be it in business, science, health or social sciences and as such, graduates with data science skills are in high demand and are extremely attractive to employers.
>Graduates have the power to make the world a better place through channelling their analytical skills to solving global problems such as climate change, developing new drugs or eliminating world hunger.
>Employment opportunities across a wide range of fields (science, health, business etc.) are abundant for graduates of this degree programme.
>The Department offers a range of postgraduate study options.
Visit the Department website for more information about postgraduate options.
Entry Requirements
Leaving Certificate Applicants are required to present (as a minimum): 2H5 and 4O6/H7, Irish, English and a Science subject (one of Agricultural Science, Applied Mathematics, Biology, Chemistry, Computer Science, Physics, or Physics with Chemistry)
This table displays the requirements for Leaving Certificate applicants.
|
Subject |
Required |
Ordinary Level Grade |
Higher Level Grade |
|---|---|---|---|
Irish |
Yes |
O6 |
H7 |
English |
Yes |
O6 |
H7 |
Language |
No |
N/A |
N/A |
Mathematics |
Yes |
O1 |
H5 |
Science |
Yes |
O6 |
H7 |
* This course requires 2 additional subjects.
How to apply
APPLY TO THE CAO - WWW.CAO.IE
The application process depends on the type of applicant you are. Click here for all information about how to apply.
Categories of applicant:
- School-leavers (Leaving Certificate students)
- Mature students (23 years or older by 1st January in the year of entry to the University/part-time degrees the mature age is 21)
- EU/EFTA/UK students
- International students (outside the EU)
- QQI (Further Education) students
- Transferring students
- Deferring students