Course Summary
The Postgraduate Certificate in Data Science is a one-year part time course which aims to provide science, engineering and computing graduates an opportunity to upskill in the developing area of data science and machine learning.
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.
Entry Requirements
Minimum Entry Requirements?
The minimum admission requirements for entry to the PgCert in Data Science are 2.1 classification level 8 degree in a numerate discipline (including engineering, computing, science) or a 2.2 classification level 8 degree with at least 2 years of relevant industry experience.
All applicants require to have demonstrated strong programming skills.
Applicants should provide a full CV and a personal statement to support their application.
Individuals with significant experience in software development who wish to extend their skills into the fast developing area of data science and data analytics should apply.
Application Details
Applications for courses commencing in September 2025 will open in November 2024.
Commencement Date: September 2025
Fees
Fees €3,220 Total Fee ~ Funding may be available
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
Data Analytics Consultant
Data Scientist
Data Analyst
Data Architect
Database Administrator
Data Warehouse Analyst
Business Intelligence Developer
Business Intelligence Implementation Consultant
Business Analyst
Reporting Analyst
Duration
Mode of Study Part Time
Method of Delivery Blended
Schedule
TU256 is a part time course with evening delivery, over three evenings in the first semester and two evenings in the second semester. Classes start at 6pm or 6.30pm depending on the module
This course will be delivered in a blended mode with majority of learning activities delivered online with a number of onsite face-to-face touch points in each semester. These touch points include the induction event at the beginning of the academic year and face-to-face lectures and lab in weeks 1, 7 and 13 of each semester. In order to facilitate students who cannot attend, each face-to-face activity will be accompanied by an online version of the event – lectures and labs will be livestreamed from the classroom.