Masters in Computer Science (Data Science)

1 Years On Campus Masters Program

Technological University Dublin

Program Overview

The MSc in Computer Science (Data Science) at Technological University Dublin trains students to analyse, interpret, and extract insights from large and complex datasets using advanced computational and analytical techniques. It suits graduates from computing, mathematics, or other numerate disciplines who want to build careers as data scientists, machine learning specialists, or analytics professionals.

Curriculum structure:

During the master’s year, students engage with a blend of technical and research-oriented modules that build both foundational and specialised data science capabilities. They cover Probability & Statistical Inference to understand uncertainty and modelling in data, and Machine Learning to develop predictive and pattern-recognition skills essential in modern data analytics. Modules like Working with Data, Data Management, Data Mining, and Data Visualisation provide hands-on experience with real-world datasets, focusing on preparation, storage, analysis, and communication of findings. Complementing these are research-focused modules such as Research Methods and Proposal Writing and the Research Project & Dissertation, where students design and execute a substantial project applying their skills to a complex data challenge. Option modules like Programming for Big Data, Deep Learning, Social Network Analysis, and Geographic Information Systems allow further tailoring of the programme to specific interests in data science applications.

Focus areas

Probability & statistical inference, machine learning, data wrangling and management, data mining, visualisation, research methods, dissertation, big data tools.

Learning outcomes

Analyse large datasets with statistical and machine learning techniques, apply data management and visualisation tools, conduct independent research, and communicate data-driven insights effectively.

Professional alignment (accreditation):

Awarded as an NFQ Level 9 Master’s degree by Technological University Dublin, aligning with roles in data science, analytics, and computational research.

Reputation (employability rankings):

TU Dublin is a recognised technological university in Ireland with strong industry links and a growing reputation for applied computing and data science education, supporting strong employability outcomes for graduates.

Experiential Learning (Research, Projects, Internships etc.)

Core Technical Software & Skills: The curriculum is designed to build proficiency in industry-standard data science tools. You will gain deep technical skills in data management, data mining, machine learning, probability and statistics, and data visualisation. Specific software is not listed, but these areas are typically covered using programming languages like Python and R, along with SQL and associated libraries (e.g., pandas, scikit-learn, TensorFlow/PyTorch).
Capstone Project Options: A central practical element is the final 30-credit "Research Project & Dissertation" or "Team Project". This allows you to either conduct in-depth individual research or collaborate on a substantial team-based data science initiative, applying your full skill set to a complex problem.
Specialised Option Modules: You can tailor your practical experience by choosing from applied elective modules such as Programming for Big Data, Deep Learning, Social Network Analysis, Geographic Information Systems (GIS), and Speech & Audio Processing.
Professional Skills Development: The program uniquely includes dedicated core modules in "Research Writing & Scientific Literature" and "Research Methods and Proposal Writing". These are designed to hone the "softer skills" in communication, problem-solving, and structured research that are critical for working effectively in organisations.

Progression & Future Opportunities

Graduates of Technological University Dublin's MSc in Computer Science (Data Science) gain expertise to analyze large datasets and deliver insights, landing positions in retail, finance, telecom, health, and government amid strong national demand for data professionals. The program equips alumni with technical prowess in machine learning, data mining, and statistics, alongside soft skills for organizational success. Typical job roles include data scientist, data analyst, data architect, and business intelligence developer.

Progression & Future Opportunities:

TU Dublin Careers Service provides CV workshops, interview coaching, employer career fairs, and a jobs portal linking to Grangegorman tech cluster opportunities.
Data science roles show 18-20% annual growth; starting salaries €45,000–€75,000, with seniors exceeding €100,000 in Ireland.
Partnerships with industry via research projects, team dissertations, and collaborations through the School of Computer Science enhance placements at firms like Accenture and SAP.
NFQ Level 9 from TU Dublin, a major technological university, ensures long-term recognition for career advancement in Europe's tech hub.
High employability leads to roles at multinationals and startups, supported by Ireland's 24-month post-study work visa.

Further Academic Progression: Graduates can pursue PhD programs in data science, AI, or computer science at TU Dublin or other institutions, building on the research dissertation or team project. TU Dublin offers doctoral opportunities in the School of Computer Science, focusing on advanced analytics or big data innovations. The program's research methods training facilitates entry to funded PhDs across Ireland and Europe.