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Students
Tuition Fee
EUR 3,220
Per course
Start Date
2025-09-01
Medium of studying
Duration
1 years
Program Facts
Program Details
Degree
Masters
Major
Data Analytics | Data Management | Data Science
Area of study
Information and Communication Technologies
Timing
Part time
Course Language
English
Tuition Fee
Average International Tuition Fee
EUR 3,220
Intakes
Program start dateApplication deadline
2025-09-01-
About Program

Program Overview


Data Science Eolaíocht Sonraí

Course Title: Postgraduate Certificate in Data Science

TU Code

TU256


NFQ Level

Level 9


Award Type

Major


Award

Postgraduate Certificate


ECTS Credits

30


Duration

1 Year


Course Type

Postgraduate


Mode of Study

Part Time


Method of Delivery

Blended


Commencement Date

September 2025


Location

Grangegorman


Fees

€3,220 Total Fee


What is... Data Science?

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.


The course 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.


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.


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 Scientist
  • Data Analyst
  • Data Architect
  • Database Administrator
  • Data Warehouse Analyst
  • Business Intelligence Developer
  • Business Intelligence Implementation Consultant
  • Business Analyst
  • Reporting Analyst

Module listing

  • Year One

Semester 1

  • Data Mining [Mandatory]
  • Probability and Statistical Inference [Mandatory]
  • Working with Data [Mandatory]

Semester 2

  • Machine Learning [Mandatory]
  • Data Visualisation [Mandatory]

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.


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