MSc in Data Analytics
A postgraduate programme designed for professionals and graduates to develop advanced technical and analytical skills in data science.
Best for:Best for IT professionals and graduates with a numeric background looking to advance their technical data analysis skills.
Overview
The MSc in Data Analytics at CCT College Dublin is a postgraduate programme tailored for individuals with backgrounds in computing, business, science, or engineering. The curriculum focuses on building advanced analytical, technical, and mathematical capabilities essential for modern data-driven roles. Students engage with complex data sets and analytical frameworks to solve real-world problems. The programme is structured to accommodate both recent graduates and professionals seeking to upskill in the field of data analytics.
What you'll do
- Complete the mandatory CCT Programming Induction Bootcamp
- Engage in advanced coursework covering mathematical concepts and database management
- Apply analytical techniques to solve complex business and technical problems
- Participate in regular contact sessions and practical laboratory work
Requirements
Degree required: NFQ Level 8 major award in ICT, Computing, Business, Science, Engineering, or a cognate discipline
Degree offered: MSc
Language: English; CEFR B2+ minimum competency for non-native speakers
Instruction: English
- Demonstrable numerate, technical, and analytical ability at NFQ Level 8
- Proficiency in mathematical concepts such as algebra
- Experience with spreadsheet analysis and formulas
- Foundational knowledge of databases
- Hold an NFQ Level 8 degree or equivalent
- Applicants without standard qualifications may apply via Recognition of Prior Learning (RPL) or Prior Experiential Learning (RPEL) policies
Funding & terms
Programme and admissions
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How to apply
Interested candidates should submit their application through the official CCT College Dublin admissions portal. Ensure all academic transcripts and evidence of prior learning are prepared for the assessment process.
- Academic transcripts
- Evidence of prior learning (if applicable)
- Professional certification documentation (if applicable)
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.