Master of Science in Computer Science (Data Science)
Program start date | Application deadline |
2025-09-01 | - |
Program Overview
Computer Science (Data Science) Programme Details
Overview
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.
Programme Details
Programme Title
Master of Science in Computer Science (Data Science)
TU Code
TU059
NFQ Level
Level 9
Award Type
Major
Award
Master of Science
ECTS Credits
90
Duration
1 Year or 1.5 Years
Course Type
Postgraduate
Mode of Study
Full Time
Method of Delivery
On-Campus
Commencement Date
September 2025
Location
Grangegorman
Fees
€6,700 Total Fee (EU) €21,750 Total Fee (Non-EU)
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.
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
Course Content
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.
Schedule
Students have the option to complete modules in 1 Year or 1.5 Years.
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).
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.
Technological University Dublin: A Summary
Overview:
Technological University Dublin (TU Dublin) is a public university located in Dublin, Ireland. It offers a wide range of undergraduate and postgraduate programs across various disciplines. TU Dublin is known for its strong focus on practical learning and its commitment to providing students with the skills and knowledge they need to succeed in their chosen careers.
Services Offered:
Student Life and Campus Experience:
TU Dublin boasts a vibrant campus life with a diverse student body. Students can enjoy a range of activities and societies, including sports clubs, music groups, and drama societies. The university also offers a variety of support services, such as career counseling, academic advising, and student health services.
Key Reasons to Study There:
Practical Learning:
TU Dublin emphasizes practical learning, providing students with hands-on experience and industry connections.Diverse Programs:
The university offers a wide range of programs across various disciplines, catering to diverse interests and career aspirations.Vibrant Campus Life:
Students can enjoy a lively campus environment with numerous clubs, societies, and events.Strong Industry Links:
TU Dublin has strong connections with industry, providing students with opportunities for internships, placements, and career development.Academic Programs:
TU Dublin offers a wide range of undergraduate and postgraduate programs, including:
Undergraduate:
Arts, Business, Engineering, Science, Health Sciences, and more.Postgraduate:
Master's degrees, PhD programs, and professional development courses.Other:
TU Dublin has five locations in Dublin, including Grangegorman, Blanchardstown, Tallaght, City Centre, and Rathmines. The university is committed to sustainability and has over 400 sustainable businesses.