Computer Science - Data Science - Grangegorman

What is... Computer Science (Data Science)?

The MSc in Computer Science (Data Science) course aims to produce graduates with the knowledge and skills to work with large amounts of raw data and extract meaningful insights from it. Graduates are equipped with deep technical skills (in data management, data mining, probability and statistics, and machine learning), but also with the softer skills (in communications, research and problem solving) required to work effectively within organisations.

Specialist Core Modules

• Probability & Statistical Inference

• Machine Learning

• Working with Data

• Data Management

• Data Mining

• Data Visualisation



Critical Skills Core Modules

• Research Writing & Scientific Literature

• Research Methods and Proposal Writing

• Research Project & Dissertation



Option Modules (Two required)

• Geographic Information Systems

• Universal Design

• Programming for Big Data

• Problem Solving, Communication and Innovation

• Social Network Analysis

• User Experience Design

• Security

• Deep Learning

• Speech & Audio Processing

• Linear & Generalised Regression Models



Students can also take specialist core modules from the Data Science stream as optional modules, subject to availability and schedules.

Minimum Entry Requirements?

The minimum admission requirements for entry to the programme are a B.Sc. (Honours) in Computer Science, Software Development, Mathematics or other suitably numerate discipline with computing as a significant component. The degree should be at the level of Honours 2.1 or better or at Honours 2.2 or better with at least 2 years of Software Development work experience. Applicants with other qualifications at Honours 2.1 or better level and Software Development experience may also be considered.



If English is not your first language you will need to provide evidence of your English language proficiency as detailed on our website. Applicants for this course should have a minimum IELTS (Academic Version) English Proficiency of 6.5 overall (or equivalent) with nothing less than 6 in each component.



Note: Due to the considerable competition for our postgraduate courses satisfying the minimum entry requirement is not a guarantee of a place. Depending on the course of study applications will be assessed based on academic grades and any work/life experience. Applicants may also be required to attend for interview.

How to Apply

Applications will open in February 2025.



Non-EU Students

Non-EU students, not resident in Ireland, are not eligible to apply for part time programs that are delivered on-campus. Applications for part time courses that require on-campus attendance will not be processed and the application fee will not be refunded.

2 years part-time, blended delivery.



Schedule

Teaching will be in the evening with classes starting at 18.00. Some critical skills modules are scheduled on a Saturday. Part-time students can progress through the course at their own pace. The recommended pathway to complete the part-time course in 2 years requires either taking modules two evenings (and 3 Saturdays per term) or for three evenings per week in each semester.



TU060 will be delivered in a blended mode: the majority of learning activities are delivered online. There is also the option of 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.

Commencement Date: September 2025.

What are my career opportunities?

Data analytics 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 analytics 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