Master of Science in Computer Science (Data Science)
| Program start date | Application deadline |
| 2025-09-01 | - |
Program Overview
Computer Science (Data Science)
Overview
The MSc in Computer Science (Data Analytics) 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.
Course Details
TU Code
TU059
NFQ Level
Level 9
Award Type
Major
Award
Master of Science
ECTS Credits
90
Duration
2 Years
Course Type
Postgraduate
Mode of Study
Part Time
Method of Delivery
Blended
Commencement Date
September 2025
Location
Grangegorman
Fees
€3,350 Per Year
€6,700 Total Fee
Minimum Entry Requirements
The minimum admission requirements for entry to the course are a B.Sc. (Honours) in Computer Science, 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 relevant work experience. Applicants with other qualifications at Honours 2.1 or better level and relevant 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 must present a minimum IELTS English proficiency score of 6.5 overall with at least level 6.0 for each component.
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
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
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.
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.
The course 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.
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.
