On this NFQ Level 9 programme, you'll explore natural language processing frameworks to understand their core features and usability. You'll design code to implement solutions to a range of NLP-related problems in your workplace and learn how to use the right technologies, frameworks, and platforms to build natural language processing solutions that work well.

NLP skills are in high demand right across. For example, businesses need NLP to understand customer feedback, monitor brand reputation, and analyze social media interactions. In healthcare, NLP can be used to extract insights from electronic health records and medical literature.

The principal entry requirement is a Level 8 honours degree, at minimum second class honours (NFQ or other internationally recognised equivalent), in a relevant engineering, computing, mathematics, science or technology discipline.

Alternative Entry Route:

In accordance with the University's policy on the Recognition of Prior Learning, candidates who do not meet the minimum entry criteria may be considered. Applicants from other disciplines who have a relevant mathematics and computing element in their primary degree will also be considered.  Applicants who possess an honours u/g degree, minimum second-class, or equivalent in a non-numerate discipline and have a minimum of 3 years experiential learning in an appropriate computing discipline will be considered. English Language Requirements, right to shortlist, interview, and RPL policy will apply.

What to include with your application:

Qualification transcripts and certificates A copy of your birth certificate or passport A copy of your CV If your qualifications have been obtained in a country where English is an official language this will suffice If this is not available, the following additional documents must be provided:

• English translation of your qualification(s)/transcripts AND
• English language competency certificate