NCI Blog

What Does a A Career in Cybersecurity Look Like? NCI Graduates Share Their Stories

Posted by Andrea Leyden on 25 January 2023
It's the age old question: how do you know you want to work in a new or emerging field if you don't know what to expect? Technology subjects such as cybersecurity, data analytics, blockchain and artificial intelligence are not taught at second-level so anyone choosing to dive right into a third-level course in these specialist areas, whether it's a level 8 degree or a conversion course, likely won't have existing experience in these areas.
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How to Transition to a Career in Tech: 5 Steps to Follow

Posted by Andrea Leyden on 29 November 2022
With so many changes in the workforce in recent years, including the shift to remote and hybrid working models, many professionals are seeking more flexible working arrangements. According to the CSO, 88% of those in employment who worked remotely during the pandemic would like to continue to do so, with 6 in 10 preferring a mix of remote and office work.
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Available Places: Another Chance to Study at NCI in September

Posted by Andrea Leyden on 05 August 2022
If you missed the CAO deadline or you're unhappy with your previous course choices, you can submit an application for Available Places on the CAO website. 
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Project Showcase: A Golden Partnership Between NCI & Citi

Posted by Emily Ferns on 27 May 2022
NCI’s Technology Transfer Project Showcase is an opportunity for final-year computing students to present the projects they have worked on throughout their last year of college to industry professionals, recruiters, and academics. It’s an important event for students seeking graduate employment, and a chance to celebrate the culmination of four years of hard work.
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Why Study Cybersecurity? 8 BIG Reasons to Think About

Posted by Andrea Leyden on 12 January 2022
Cyber-attacks and online fraud stories are in the headlines now more than ever before. Grant Thornton Ireland recently reported that the total economic cost of cybercrime in Ireland in 2020 was €9.6 billion, a massive increase since their first report revealed that the cost was €630 million back in 2014.
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How To Boost Retail Sales Using an Automated Recommender System

Posted by Dr Anu Sahni on 10 June 2021
Dr Anu Sahni, Lecturer and Programme Director in NCI's School of Computing, shares a recent innovation her research group has been working on to help the retail sector boost sales using recommender systems, including a white paper on the process: Innovation Partnership Collaboration between NCI and Glantus Ltd.
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NCI Computing Graduates Shine on Citi's Graduate Programme

Posted by Emily Ferns on 01 June 2021
This week sees the celebration of NCI’s Technology Transfer Project Showcase. Project Showcase is the launch pad from which final-year computing students progress into their careers. This year’s gold sponsor of Project Showcase, Citi, has a competitive graduate programme that allows successful students to begin their careers gaining experience within a large, multinational organisation.
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Career Focus: A Day In The Life of A TQS Engineer

Posted by Sarah O'Neill, TQS on 30 April 2021
A viewpoint from one of the many promising career paths in the field of Data Science by Sarah O'Neill, Senior Consultant at TQS Firstly, a little about me... My name is Sarah and I have worked with TQS Integration for the last 3 years. I am fortunate enough to work with a team of brilliant people - our team is called ‘Pod Almighty’.
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How To Get Your Head Around Fintech

Posted by Teresa Murray on 23 April 2021
In one way, Fintech is the easiest of the newer computing buzzwords to explain, as it is simply a portmanteau that combines FINance with TECHnology to make a new word: Fintech. The word first began to be used in the early 1990s, as an abbreviation for Citi’s initiative: Financial Services Technology Consortium, though the move towards understanding the possible impact Technology could have on Finance began as early as the 1980s.
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How To Get Your Head Around Artificial Intelligence & Machine Learning

Posted by Teresa Murray on 01 April 2021
A lot of us have some idea of Artificial Intelligence (AI) - or at least think we do - if only from the movies. At its most sophisticated, we might think of the replicants in Blade Runner (with a bit of bioengineering thrown in), while considering Ex Machina or Chappie as more likely to become Science Fact within our lifetimes. However, often robots, even humanoid ones, don’t have Artificial Intelligence, they cannot read their surroundings and respond to them, but only perform a single pre-programmed task. These machines help us *do* things more quickly or carry out repetitive physical processes; AI helps us *think* more quickly, sorting through vast amounts of information.
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