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MSc in Computer ScienceData Science Strand

Data Science or Big Data has become a hugely important topic in recent years finding applications in Healthcare, Finance, Transportation, Smart Cities and elsewhere.  In this strand, Trinity's leading experts in this field will guide you through how to gather and store data (using IoT and cloud computing technologies, process it (using advanced statistics and techniques such as machine learning) and deliver new insights and knowledge from the data.

Data Science Strand Modules

Michaelmas Term (Sept-Dec)

Hilary Term (Jan-March)

Summer Term (April-August)

Machine Learning Optimisation Algorithms for Data Analysis Dissertation
Data Analytics 1 Data Analytics 2
Research Methods and Innovation Applied Statistical Modelling
Scalable Computing Security & Privacy
Data Visualisation Option 2
Option 1 Option 3

Option 1, 2 and 3 are elective modules selected from the other strands.


Along with the core modules in the first semester, you will learn the key techniques of Data Mining & Analysis including classification techniques, neural networks and ensemble methods with practical work in the R language.    Finally, you will discover how large data sets might be gathered and manipulated in large cloud computing facilities in the Scalable Computing

You will build on this in the 2nd semester with a course on Optimisation Algorithms for Data Analysis which will explore topics such as Convex optimisation, large dimension simulation with an opportunity to apply your new found skills in a project using Python, R or Scala.  In Applied Statistical Modelling, you will deal with many popular techniques such as Markov Chains and Monte Carlo Simulation with an opportunity to apply these techniques to a real data set.  You will learn how to reveal the insights derived from large data sets in the Data Visualisation module. module and cover essential cyrpto and security concerns in the Security & Privacy module. In addition, you can choose two additional modules from a pool.

By April, you will have chosen your Dissertation topic, picked and consulted with your chosen supervisor and be ready to develop substantial time researching and prototyping your work.  We expect that the top projects should deliver publishable quality papers over this period.  At the end of the year, all projects will be showcased to an industry audience comprising indigenous, small & medium employers and multinational companies.

Career Prospects

Graduates of this programme have many exciting career opportunities. We expect our graduates to be in high-demand for top-end research and development positions within leading multi-national companies and from start-up companies alike. All of the major Information Technology companies, from Google to Facebook to Amazon, employ large teams of data scientists. Another important career path is management consulting with companies such as Accenture, McKinsey & Company and PwC. There will also be opportunities to progress to PhD study with many funded positions available locally.

The following is a sample of roles secured by graduates after completing this course

  • Data Engineer - Quality Automation at Accela
  • Cloud Data Architect at Accenture AI
  • Lead Data Analyst at AIB
  • Quantitative Risk Analyst at AIB
  • Senior Risk Data Analyst at AIB
  • Fraud Investigator at Amazon
  • Cloud Engineer - Analytics at Amazon Web Services
  • Senior Software Engineer at AMD
  • Dev Ops Engineer at Ammeon
  • Assistant Vice President at Bank of America Merill Lynch
  • Data Analyst at Bank of America Merrill Lynch
  • Senior Data Analyst at Bank of Ireland
  • Risk Data Analyst at ByteDance
  • Software Engineer at Captured Carbon
  • Data Scientist at Center for Intelligent Power at Eaton
  • Technology Analyst at Citi
  • Data Scientist at Citibank Europe
  • Businesss Intelligence Consultant at Client Solutions
  • Java Application Developer at Davy
  • Solutions Engineer at Deloitte
  • Analyst at Deloitte
  • Intermediate Software Developer at Demonware/Activision Blizzard
  • QA Engineer at Ding . com
  • Platform Engineer at Distilled SCH
  • Data Analyst at DMF Systems
  • Data Scientist at DOCOsoft
  • Web Developer at Early Childhood Ireland
  • Senior Machine Learning Engineer at Everyangle
  • Business Integrity Analyst at Facebook
  • Software Engineer at Fidelity Investments
  • Software R&D Engineer (Data Analytics) at Fíosínd
  • AI/ML Software Developer at General Motors
  • Software Developer at General Motors
  • Associate Software Engineer at Genesys
  • Cloud Consultant at Hewlett Packard Enterprise
  • Intern at Houghton Mifflin Harcourt
  • Storage AI Engineer at Huawei
  • Data Analyst at Hubspot
  • Buisness Analyst - Data Science and AI at IBM
  • Junior Data Analyst at Irish Times
  • Data Scientist at Johnson Controls
  • Cloud Solution Architext at Microsoft
  • Associate Consultant at Milliman
  • Senior Site Reliability Engineer at Nylas
  • Data Scientist at OpenJaw Technologies
  • Data Scientist at Optum
  • Senior Data Analyst at Permanent TSB
  • Senior Credit Risk Analyst at Permanent TSB
  • Decision Science at Permanent TSB
  • Computer Analyst at SAP
  • Software Developer at Siren
  • Senior Data Engineer at TerraAlto
  • Data Scientist at Three Ireland
  • Data Scientist at Trezeo
  • Software Engineer at UnitedHealth Group
  • Data Scientist at Unitek.AI
  • Data Analyst at Value Science
  • Networking Engineer at Virtual Access
  • Data Visualization Analyst at Vodafone
  • Software Developer at Workday
  • Software Application Developer at Workday


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