Computing in Big Data Analytics - 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. From banking and financial services to retail and healthcare, as well as life sciences, the opportunities in big data analytics are expanding all the time, and this course provides students with excellent qualifications to make the most of the ever increasing opportunities.



Who should apply?

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

What will I study?

Modules:

Business Intelligence

Machine Learning

Big Data Analytics

Mathematics for Analytics

Big Data Architecture

Data Science

Dissertation

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. Students 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.



Recognition of Prior Learning: Yes.

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 full-time, 2 years part-time online delivery.