Computer Science - Data Science - Grangegorman
What is... Computer Science (Data Science)?
The MSc in Computer Science (Data Science) programme 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.
Subjects taught
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 or a Team Project
Option Modules
Geographic Information Systems
Universal Design
Programming for Big Data
Problem Solving, Communication and Innovation
Social Network Analysis
User Experience Design
Deep Learning
Speech & Audio Processing
Students can also take specialist core modules from the Advanced Software Development stream as option modules, subject to availability and schedules.
Entry requirements
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 programme 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 programmes satisfying the minimum entry requirement is not a guarantee of a place. Depending on the programme of study applications will be assessed based on academic grades and any work/life experience. Applicants may also be required to attend for interview.
Application dates
Applications open from November 2021.
Duration
3 Semesters full-time
Method of Delivery Classroom
For the full-time route, teaching hours will take place Monday to Friday. Attendance in the evening is required for some modules. In general students complete 30 ECTS in Semester 1 (Sept-Jan), 30 in Semester 2 (Feb-May) and 30 in Semester 3 (Sept-Jan) for the dissertation or Team Project.
Enrolment dates
Commencement Date 01/09/2020
Sept 2020 – Grangegorman Campus
Location City Centre: Grangegorman
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 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.
Progression
Students can choose to exit with a Postgraduate Certificate on completion of 30 ECTS or a Postgraduate Diploma on completion of 60 ECTS.
Students who wish to complete the MSc dissertation or Team Project to achieve the MSc award will be eligible to do so on successful completion of all core modules and the achievement of an average grade of at least 50% over all core modules.