Course Summary
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.
College Link
Career Sectors
This course prepares you for working in the Career Sectors below. Follow the links to get a fuller understanding of the sectors you are preparing for.
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 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.
Application Details
Applications for courses commencing in September 2025 will open in November 2024.
Commencement Date: September 2025
Fees
Fees
€6,700 Total Fee
Fees (Non-EU)
€21,750 Total Fee
The Student
Career Interests
This course is typically suited for people with the following Career Interests. If these interests do not describe you, this course may prepare you for work you may not find satisfying.
Investigative
The Investigative person will usually find a particular area of science to be of interest. They are inclined toward intellectual and analytical activities and enjoy observation and theory. They may prefer thought to action, and enjoy the challenge of solving problems with sophiscticated technology. These types prefer mentally stimulating environments and often pay close attention to developments in their chosen field.
Career Progression
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.
Duration
2 Years Part Time
Method of Delivery On-Campus
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.
Option to complete the dissertation over the summer period, allowing completion in a 12-month period (Sept to Sept calendar year)