All Courses - Study at DIT

To support your privacy rights we have updated our Privacy Statement and Cookie Policy to describe our use and sharing of cookies with our social media, advertising & analytics partners. We recommend that you review the privacy statement here, and follow the instructions to modify your cookie settings to suit your privacy preferences. Continued use of our site confirms your choice to accept our privacy statement & cookie policy and confirms your agreement to the processing of your personal data in line with our policy and your preferences. Read Cookie Policy.

OK

Data Science (Postgraduate Certificate)

DT9231 (PT)

Introduction

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. 

Entry Requirements:

The minimum admission requirements for entry to the PgCert in Data 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.

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.

Course Content

Core Modules: 

Working with Data

Probability & Statistical Inference

Data Mining

Data Visualisation

Machine Learning

Further Information

School of Computer Science
College of Sciences and Health
TU Dublin - City Campus, Kevin Street, Dublin 8
School Contact: Andrea Curley

T: 01 402 2840
E: cspg@dit.ie

Progression

Graduates are eligible to apply for the MSc in Computing (Data Analytics), programme codes DT228A/DT228B.   

Who Should Apply?

Individuals with experience in software development who wish to extend their skills into the fast developing area of data science and data analytics. 

Timetable / Hours

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.

Fees 

This programme is currently funded under the Springboard+ initiative and is offered on level 9 on the National Framework of Qualifications. Eligibility information is available here

To apply for funding, applications must be made via the Springboard website.

Confirmation of continued funding support for the programme will be available in May.

The programme is also available to fee paying applicants.

EU Fees 

*The fees outlined for each course are provisional and are subject to change

For information on funding please see the following link: Fees and Funding

Applications for funded places should be made through the HEA Springboard website: http://springboardcourses.ie/