Big Data Analytics & Artificial Intelligence - Letterkenny

This programme focuses on the processes involved in examining and interpreting large amounts of data of a variety of types to uncover hidden patterns, unknown correlations and other useful information and then enabling computer systems to make independent decisions. From banking and financial services to retail and healthcare the opportunities in big data analytics and artificial intelligence are expanding all the time, and this course provides you with excellent qualifications to make the most of the ever increasing opportunities. Students will cover topics such as the principles of artificial intelligence, machine learning, big data analytics and big data architecture.



Who should apply?

This programme is is suitable for individuals who have a strong interest in data analysis, programming, statistical modelling, and AI techniques, and who want to develop advanced skills in these areas to pursue a career in data science, AI, or related fields.

What will I study?

Postgraduate Diploma:

Mathematics for Analytics

Principles of Artificial Intelligence

Machine Learning

Big Data Analytics

Big Data Architecture

Artificial Intelligence for Vision and NLP

Applicants require a Level 8 Honours degree in Computing, or equivalent, second class honours (2.2), or Higher Diploma in Computing (Conversion Course into Computing). Non computing applicants must have a minimum of 30 ECT credits in Computing or Computing related modules, or computer industry experience. Applicants without an Honours degree but have relevant experience may also be eligible to apply via Recognition of Prior Learning (RPL). Applicants may also attend a one week bridging course where necessary.

Flexible learning courses are popular, and they fill on a first come, first served basis. There are two major intake periods throughout the academic year, September and January.



For January start courses, applications typically open in October, and for September start courses, applications typically open in February. Closing dates for applications are listed on the individual course webpage.

1 year part-time/Online/On-campus.



Study Hours

Students can expect to allow between 10 and 20 hours for study per week.



On-Campus Attendance: No attendance required.

Progression Pathways

Many of our Masters programmes are structured in a way that includes recognised entry and exit awards. This means that you can apply for part of Masters first and learn at your own pace or if you are unable to complete the full programme, you can still gain a recognised qualification. Our entry and exit awards typically include Postgraduate Certificate award and a Postgraduate Diploma award.