Data Science - Grangegorman
What is... Data Science?
The Postgraduate Certificate in Data Science is a one-year part time programme which aims to provide science, engineering and computing graduates an opportunity to upskill in the developing area of data science and machine learning.
The programme covers the key skills needed for an entry level position in data science, including modules in data wrangling, data mining, data visualisation, probability and statistical inference and machine learning. It is very practically focussed with students developing skills in the main tools, methods and techniques used in the domain.
Working with Data
Probability & Statistical Inference
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.
Applications open from November 2021.
This course is also funded under the Springboard programme.
2 semesters, Part Time
Method of Delivery Classroom
It is a part time programme 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.
Next Intake X579 (Jan Intake); X569 (Sep Intake).
Post Course Info
What are my career opportunities?
Data science has been highlighted in a range of recent reports as an area of strategic importance both nationally and internationally. Areas in which opportunities for data science practitioners exist include retail, financial services, telecommunications, health, and government organisations. Specific roles include but are not limited to:
Data Analytics Consultant
Data Warehouse Analyst
Business Intelligence Developer
Business Intelligence Implementation Consultant